1,303,968 results on '"AHMAD, A."'
Search Results
2. Ameliorative potential of Trianthema portulacastrum L. in cyclophosphamide induced hepatotoxicity and nephrotoxicity in rats
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Aswathy, P. U., Ahmad, A. H., Pant, Disha, Patwal, P. C., Verma, Manish, and Maletha, Deeksha
- Published
- 2023
3. Evaluation of anti-arthritic potential of Pongamia pinnata in arthritic rats
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Arya, Nidhi, Ahmad, A.H., Pant, Disha, Maletha, Deeksha, Batra, Munish, and Sharma, Sonam
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- 2023
4. A study of polyphenolic compounds and in vitro antioxidant activity of Trianthema portulacastrum Linn. extracts
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Kumar, Nirbhay, Ahmad, A.H., Gopal, Anu, Batra, Munish, Pant, Disha, and Srinivasu, M.
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- 2023
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5. Context-Responsive Pedagogy in English Language Teaching in Indonesian Islamic Boarding Schools
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Ahmad Madkur, Muhammad Syihab As'ad, Agus Prayogo, Aisyah Sunarwan, Syahreni Siregar, Trisna Dinillah Harya, and Dedi Irwansyah
- Abstract
English language teaching (ELT) in Islamic boarding schools in Indonesia, commonly known as "pesantren," presents a unique context that requires a tailored pedagogical approach. This study aimed to explore the application of context-responsive pedagogy in ELT within the unique context of Islamic boarding schools in Indonesia. This qualitative study employed semistructured interviews and classroom observation as data generation methods to gain insights into the experiences and perspectives of English language teachers regarding the implementation of context-responsive pedagogy in English language instruction. The findings revealed the importance of understanding learner needs, incorporating authentic materials, promoting cultural sensitivity, and effective use of technology in ELT practices in Islamic boarding school contexts. This study delves into how English language teachers navigated and negotiated their practices with the sociocultural and religious values entrenched in this institution. It also highlighted the challenges English language teachers in this school context faced in the implementation of context-responsive pedagogy. Eventually, this research provides valuable insights for ELT practitioners, policymakers, and researchers interested in incorporating context-specific pedagogy to optimize ELT in Islamic boarding schools and similar educational contexts.
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- 2024
6. Recent Issues of Elderly Intergenerational Instructional Strategies: A Scoping Review
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Muhammad Asri Mohd Ali, Nahdatul Akma Ahmad, Mohamed Imran Mohamed Ariff, Nursyahidah Alias, Zirawani Baharum, and Tengku Shahrom Tengku Shahdan
- Abstract
This scoping review investigates instructional strategies implemented in recent studies to enhance the digital application usage experience for the elderly, addressing emerging issues in the context of a rapidly aging global population. With the World Health Organization predicting a significant increase in the proportion of individuals aged 60 years and above by 2030, the imperative for digital literacy among the elderly becomes crucial. The review, drawing from 14 eligible articles sourced from Web of Science and Scopus, categorizes findings into two main themes: i) intergenerational strategies of instruction and ii) contemporary issues associated with intergenerational approaches. By exploring these dimensions, the paper provides valuable insights for researchers seeking to understand and tackle current challenges in instructing the elderly on digital applications, contributing to the ongoing discourse on improving the quality of life for the aging population through digital technology.
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- 2024
7. STEAM Learning Implementation in Makassar: SWOT Analysis
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Muhammad Ammar Naufal, Nurfitriah Ramdhani, Nurul Khatimah Syahid, Fadliyah Zahrah, Masyta Nurfadya, Nur Aqidah Hafid, Awi Dassa, Hisyam Ihsan, and Asdar Ahmad
- Abstract
The aim of this study is to identify the strengths, weaknesses, opportunities, and threats (SWOT) of science, technology, engineering, art, and mathematics (STEAM) learning at the elementary school level in Makassar. This study employed a mixed methods approach, specifically the QUANqual type of explanatory sequential design. The survey method was used to collect and analyze quantitative data, while interviews and documentation methods were used for qualitative non-numerical data. The respondents consisted of elementary school teachers in Makassar who were selected using simple random sampling. The results showed that using SWOT analysis and internal strategic factors analysis summary-external strategic factors analysis summary (IFAS-EFAS) calculations, the strengths-opportunities (SO) strategy has the highest score of 4.27. In addition, the weaknesses-opportunities (WO), strengths-threats (ST), and weaknesses-threats (WT) strategies received consecutive scores of 3.25, 2.71, and 1.69, respectively. It suggests that STEAM learning in Makassar is in a growth stage due to its strengths and opportunities that support the development of STEAM education in the city.
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- 2024
8. Legal rights of patients in Saudi Arabia
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Sabri, Imran, Alwadaani, Fahad Abdullah, and Ahmad, A. Al-Abdulqader
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- 2023
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9. Evaluation of Immunomodulatory Activity of Trianthema portulacastrum L. in Rats
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Aswathy, PU, Ahmad, A.H., Pant, Disha, Verma, Manish, and Maletha, Deeksha
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- 2022
10. Phytochemical Screening, Proximate Analysis and in-vitro Antioxidant Activity of Amaranthus hypochondriacus Seeds
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Maletha, Deeksha, Singh, S. P., Ahmad, A. H., Pant, Disha, and Bhatt, Shreya
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- 2022
11. Family Education: Instilling Career Expectations for Woman
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Agung Tri Prasetia, Ahmad Rozelan Yunus, Herman Nirwana, Afdal Afdal, Yarmis Syukur, Mega Iswari, and Miftahul Fikri
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Because women in Indonesian society gain more experience in the family, one of which is education instilled through family gender culture, women's career aspirations are believed to have their own characteristics. In today's society, the current condition of female students' career expectations is apprehensive. Most of the female students do not have any professional characteristics, such as career aspirations. This research involving 109 female students from various cultural contexts will divide their findings into two categories: patriarchal family education and matriarchal family education. The main objective of this research is to investigate the career expectations of female students in relation to patriarchal and matriarchal family education, and to compare the two household categories. As a result, the majority of female students from societies that place a patriarchal emphasis on gender have expectations of career self-efficacy, whereas those from societies that place a matriarchal emphasis on gender have expectations of outcomes. Parametric analysis of variance (ANOVA) test was used for comparative analysis. The test results show F = 75.011 for career expectations on self-efficacy and F = 145.467 for outcome expectation (OE). 0.000 is a significant value for both variations.
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- 2024
12. Pharmacokinetic study of enrofloxacin following single dose oral administration in broiler poultry
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Thakur, Swatilika, Ahmad, A. H., Pant, Disha, Verma, M. K., Padaliya, Manisha, and Adhikari, Aarti
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- 2022
13. Ameliorative, antioxidant and immunomodulatory potential of vitamin d on aminoglycoside induced acute kidney injury in wistar rats
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Thakur, Neeraj, Shukla, S.K., Ahmad, A.H., Jadon, N.S., Singh, J.L., and Chethan, G.E.
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- 2022
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14. Gender- and Academic Level-Bias in MATS when Measuring Attitude Towards Science in Indonesia: A Rasch Analysis
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Ahmad Suryadi, Sahal Fawaiz, Eka Kurniati, and Ahmad Swandi
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The waning interest of students in science became a global concern. The purpose of this research was to translate, adapt, and validate the My Attitude toward Science [MATS] questionnaire instrument, which was used to measure students' attitudes toward science in the Indonesian context. We also investigated the items that contributed to gender and academic level differences in responses. To analyze the psychometric properties of the instrument, 223 students participated in the four-dimensional Indonesian variant of the MATS instrument. The unidimensionality and model fit of the four dimensions of the questionnaire were evaluated using Rasch analysis. In general, In general, the MATS instrument has been confirmed as multidimensional, attaining a configuration of three dimensions through the amalgamation of two previously distinct dimensions. The reliability of the instruments was quite good, but the reliability of the instruments in the expectation and perception toward scientist dimensions is still relatively low. The questionnaire was incapable of distinguishing between students with positive and negative expectation and perception toward scientist. The range of MNSQ values for all three dimensions was approximately 0.73 to 1.55. In the gender based DIF analysis, two items were identified: MATS 14 (-0.68) and MATS 21 (-0.75). In the meantime, each class responded differently to one or more items based on their academic level. In conclusion, this study concluded by recommending the simplification of the scale used to assess the expectation and perception toward science dimensions. It is anticipated that the Indonesian version of the MATS instrument will aid educators, researchers, and policymakers in obtaining valid and dependable data regarding student attitudes toward science. The implications and future studies on masculinity, oldscientists, and lower ATS in early high school classes have been discussed.
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- 2024
15. Evaluating the Impact of Reciprocal Teaching Strategy on International Postgraduate Science Education Programs
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Najeh Rajeh Alsalhi, Abdellateef Abdelhafez Alqawasmi, Bushra Ahmad Alakashee, Sami Al-Qatawneh, Abdalla Falah El-Mneizel, Ali Ahmad Al-Barakat, and Samih Mahmoud Al-Karasneh
- Abstract
This paper aims to assess the impact of the reciprocal teaching strategy on the academic performance of student-teachers enrolled in the Higher Professional Diploma (HDE) program at Ajman University, United Arab Emirates. The study adopts a quasi-experimental design, employing pre- and post-tests and a control-experimental group configuration. The sample comprises 80 student-teachers selected from Ajman University during the second semester of the academic year 2022-2023. An academic achievement test in a multiple-choice format serves as the research instrument. The study's outcomes reveal noteworthy differences, indicating significant mean variations in the post-test scores between the experimental and control groups, favoring the control group in the context of the Reciprocal Teaching strategy. These results hold implications for international students, prompting considerations about the transferability and generalizability of teaching strategies across diverse cultural and educational settings. The findings suggest the broad effectiveness of the reciprocal teaching method, emphasizing the necessity of aligning teaching strategies with international students' specific needs and preferences. The research underscores the importance of tailoring teaching approaches to meet the unique requirements of a diverse cohort of global learners. It suggests that reciprocal teaching demonstrates efficacy across varied groups of international students, emphasizing the importance for instructors to select instructional methods that cater to the distinct needs of their diverse international student body.
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- 2024
16. Comparative Study of Administrators' Supervisory Skills and Teachers' Pedagogical Skills Towards Quality Education in Public and Punjab Education Foundation Funded Schools at Secondary Level
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Sabir Hussain, Masood Ahmad, Fakhar Ul Zaman, and Altaf Ahmad
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This research analyzed and compared administrators' supervisory and teachers' pedagogical skills concerning quality education in Public and Punjab Education Foundation Funded Schools at the secondary level, in line with the Vision of Sustainable Development Goal 4 (SDG-4) by 2025 (Minimum Standards for Quality Education in Pakistan, 2016). The research employed a descriptive method and adopted a quantitative approach. For this study, 248 head teachers were selected from public schools and 126 from Punjab Education Foundation Funded Schools via simple random sampling, making a total sample of 374 respondents. Data were collected using a five-response Likert scale and analyzed with SPSS, including mean, standard deviation, t-test, and f-test to assess the difference between administrators' supervisory and teachers' pedagogical skills towards quality education in both school types. The study concluded that administrators in public secondary schools exhibited better academic and professional qualifications and that both administrators' supervision and teachers' pedagogical skills were superior in public schools. Additionally, public schools were more aligned with the Minimum Quality Standards for Schooling to meet the vision of Sustainable Development Goal 4 (SDG-4) by 2025 for quality education compared to Punjab Education Foundation Funded Schools. It is recommended that the heads of Punjab Education Foundation-funded schools enhance their supervisory skills, while teachers should improve their pedagogical skills to align with the vision of Sustainable Development Goal 4 (SDG-4) by 2025.
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- 2023
17. Effect of enrofloxacin and ciprofloxacin on oxidative stress in rats
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Srinivasu, M., Singh, S. P., Ahmad, A.H., and Pathak, Abhishek
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- 2022
18. Evaluation of the oxytetracycline tissue residues in broiler chicken
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Mishra, P. K., Ahmad, A. H., Pant, Disha, and Verma, M. K.
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- 2022
19. Phytochemical characterization of methanolic extract of Cichorium intybus and its In-vitro antioxidant potential
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Pathak, Abhishek, Singh, S. P., Ahmad, A. H., Verma, M. K., Bisht, Preeti, Adhikari, Aarti, and Singh, Vikram
- Published
- 2021
20. Collision Energy Dependence of Particle Ratios and Freeze-out Parameters in Ultra Relativistic Nucleus Nucleus Collisions
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Din, Iqbal Mohi Ud, Mir, Sameer Ahmad, Rather, Nasir Ahmad, Uddin, Saeed, and Parra, Rameez Ahmad
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High Energy Physics - Phenomenology ,Nuclear Theory - Abstract
This work investigates how the theoretically calculated particle ratios and freeze-out parameters for a multi-component hot and dense non-ideal hadron resonance gas system, formed during the pre freeze-out stage in ultra-relativistic nucleus-nucleus collisions, are affected by van der Waals type interactions, incorporating both repulsive and attractive interactions among hadrons. The baryons (antibaryons) are treated as hard incompressible objects. Using this theoretical approach, we analyze experimental particle ratios involving like-mass as well as unlike-mass hadrons. We also try to understand the existence of horn-like structures seen in the ratios of strange particles to pion as a function of the collision energy. Using information about the dependence of experimental particle ratios on $\sqrt{s_{NN}}$ over a wide range of collision energies, we have extracted several model freeze-out parameters and examined their dependence on $\sqrt{s_{NN}}$ The correlation between the $\bar{p}/p$ and $K^-/K^+$ ratios is also examined., Comment: 15 pages, 19 Figures
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- 2024
21. Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption
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Muhammed, Rebwar Khalid, Aziz, Ribwar Rashid, Hassan, Alla Ahmad, Aladdin, Aso Mohammed, Saydah, Shaida Jumaah, Rashid, Tarik Ahmed., and Hassan, Bryar Ahmad
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Computer Science - Cryptography and Security ,Computer Science - Artificial Intelligence - Abstract
Nowadays, cybersecurity has grown into a more significant and difficult scientific issue. The recog-nition of threats and attacks meant for knowledge and safety on the internet is growing harder to detect. Since cybersecurity guarantees the privacy and security of data sent via the Internet, it is essential, while also providing protection against malicious attacks. Encrypt has grown into an an-swer that has become an essential element of information security systems. To ensure the security of shared data, including text, images, or videos, it is essential to employ various methods and strategies. This study delves into the prevalent cryptographic methods and algorithms utilized for prevention and stream encryption, examining their encoding techniques such as advanced encryp-tion standard (AES), Blowfish, Twofish, Salsa20, and ChaCha20. The primary objective of this re-search is to identify the optimal times and throughputs (speeds) for data encryption and decryption processes. The methodology of this study involved selecting five distinct types of images to com-pare the outcomes of the techniques evaluated in this research. The assessment focused on pro-cessing time and speed parameters, examining visual encoding and decoding using Java as the pri-mary platform. A comparative analysis of several symmetric key ciphers was performed, focusing on handling large datasets. Despite this limitation, comparing different images helped evaluate the techniques' novelty. The results showed that ChaCha20 had the best average time for both encryp-tion and decryption, being over 50% faster than some other algorithms. However, the Twofish algo-rithm had lower throughput during testing. The paper concludes with findings and suggestions for future improvements.
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- 2024
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22. Toward an Integrated Decision Making Framework for Optimized Stroke Diagnosis with DSA and Treatment under Uncertainty
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Khatim, Nur Ahmad, Irfan, Ahmad Azmul Asmar, Hayah, Amaliya Mata'ul, and Arief, Mansur M.
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Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition ,Electrical Engineering and Systems Science - Image and Video Processing - Abstract
This study addresses the challenge of stroke diagnosis and treatment under uncertainty, a critical issue given the rapid progression and severe consequences of stroke conditions such as aneurysms, arteriovenous malformations (AVM), and occlusions. Current diagnostic methods, including Digital Subtraction Angiography (DSA), face limitations due to high costs and its invasive nature. To overcome these challenges, we propose a novel approach using a Partially Observable Markov Decision Process (POMDP) framework. Our model integrates advanced diagnostic tools and treatment approaches with a decision-making algorithm that accounts for the inherent uncertainties in stroke diagnosis. Our approach combines noisy observations from CT scans, Siriraj scores, and DSA reports to inform the subsequent treatment options. We utilize the online solver DESPOT, which employs tree-search methods and particle filters, to simulate potential future scenarios and guide our strategies. The results indicate that our POMDP framework balances diagnostic and treatment objectives, striking a tradeoff between the need for precise stroke identification via invasive procedures like DSA and the constraints of limited healthcare resources that necessitate more cost-effective strategies, such as in-hospital or at-home observation, by relying only relying on simulation rollouts and not imposing any prior knowledge. Our study offers a significant contribution by presenting a systematic framework that optimally integrates diagnostic and treatment processes for stroke and accounting for various uncertainties, thereby improving care and outcomes in stroke management.
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- 2024
23. Analysis of genetic diversity among some Iraqi durum wheat cultivars revealed by different molecular markers
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Maeruf, Mihraban Sharif, Lateef, Djshwar Dhahir, Mustafa, Kamil Mahmood, Hamakareem, Hero Fatih, Abdalqadir, Shang Hasseb, Ahmad, Dastan Ahmad, Sleman, Shokhan Mahmood, and Rasul, Kamaran Salh
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Quantitative Biology - Populations and Evolution ,Quantitative Biology - Genomics - Abstract
Durum wheat has been cultivated since the beginning of crop domestication, occupying now the tenth ranking among the global most significant cultivated crops. Despite the fact that, the extent of the crop genetic diversity has not yet fully incorporated into modern varieties through breeding programs. In this study, a total of 35 markers (11 RAPD, 12 ISSR, and 12 CDDP) were utilized to assess the genetic variability and population structure of sixteen different cultivars of Iraqi durum wheat. Out of 294 bands obtained, 171 were identified as polymorphic: 47.00 polymorphic alleles from 98 RAPD bands, 53 polymorphic alleles from a total of 89 ISSR bands, and 71 alleles from 107 CDDP bands. The average number of observed alleles (Na), effective number of alleles (Ne), Shannon's information index (I), expected heterozygosity or gene diversity (He), unbiased expected heterozygosity (uHe), and polymorphic information content (PIC) (1.45, 1.38, 0.32, 0.22, 0.24, and 0.28, respectively) were obtained for RAPDs , (1.63, 1.45, 0.40, 0.27, 0.29, and 0.32, respectively) ISSRs and (1.35, 1.35, 0.31, 0.21, 0.23, and 0.30, respectively) for the CDDP markers. A dendrogram of two main clades (unweighted pair group method with arithmetic mean; UPGMA) and three populations of structure analysis, were obtained based on the three markers data. The analysis of molecular variance indicated 97.00%, 97.00%, and 90.00% variability within populations, applying RAPD, ISSR, and CDDP markers, respectively. The highest diversity indices were revealed in population 2 under the RAPD and CDDP markers, whereas population 1 had the highest values of these indices according to the ISSR markers. The results provide greater knowledge on the genetic makeup of Iraqi durum wheat cultivars, that facilitate future breeding programs of this crop., Comment: 15
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- 2024
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24. DACB-Net: Dual Attention Guided Compact Bilinear Convolution Neural Network for Skin Disease Classification
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Ahmad, Belal, Usama, Mohd, Ahmad, Tanvir, Saeed, Adnan, Khatoon, Shabnam, and Chen, Min
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Computer Science - Computer Vision and Pattern Recognition - Abstract
This paper introduces the three-branch Dual Attention-Guided Compact Bilinear CNN (DACB-Net) by focusing on learning from disease-specific regions to enhance accuracy and alignment. A global branch compensates for lost discriminative features, generating Attention Heat Maps (AHM) for relevant cropped regions. Finally, the last pooling layers of global and local branches are concatenated for fine-tuning, which offers a comprehensive solution to the challenges posed by skin disease diagnosis. Although current CNNs employ Stochastic Gradient Descent (SGD) for discriminative feature learning, using distinct pairs of local image patches to compute gradients and incorporating a modulation factor in the loss for focusing on complex data during training. However, this approach can lead to dataset imbalance, weight adjustments, and vulnerability to overfitting. The proposed solution combines two supervision branches and a novel loss function to address these issues, enhancing performance and interpretability. The framework integrates data augmentation, transfer learning, and fine-tuning to tackle data imbalance to improve classification performance, and reduce computational costs. Simulations on the HAM10000 and ISIC2019 datasets demonstrate the effectiveness of this approach, showcasing a 2.59% increase in accuracy compared to the state-of-the-art., Comment: 23 pages, 18 figures, 6 tables
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- 2024
25. Modulation of Point Defect Properties Near Surfaces in Metal Halide Perovskites
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Ahmad, Bilal, Limon, Md Salman Rabbi, and Ahmad, Zeeshan
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Condensed Matter - Materials Science ,Physics - Chemical Physics - Abstract
It is now widely recognized that surface and interfacial defects exhibit distinct behavior compared to bulk defects in metal halide perovskites. However, the transition from bulk to surface behavior and the spatial extent of the surface's influence are not well understood. To address this, we conducted first-principles calculations on iodine vacancies and interstitial defects in methylammonium lead iodide and cesium lead iodide at various depths from the surface, enabling us to map out depth-dependent behavior. We find that the defect formation energy follows a saturating exponential curve as the defect moves away from the surface to the bulk. Using first-principles calculated defect formation energies, we quantify the extent of the surface's influence by calculating the decay length associated with each defect. The difference between the surface and bulk defect formation energy is found to be as high as 1.12 eV for the negatively charged iodine vacancy in methylammonium lead iodide, leading to the enrichment of the surface with defects. Through analysis of defective structures, we find that the differences in the bulk and surface defect properties are a consequence of different bond lengths and in some cases, even changes in bonding and coordination environments. Finally, we determine how the defect transition levels change as a function of the layer index, which could contribute to increased non-radiative recombination. Our findings pave the way for a systematic treatment of non-radiative losses in perovskite solar cells that incorporate spatially dependent defect densities and transition levels., Comment: 28 pages + 10 pages of supporting information
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- 2024
26. Biquaternion Windowed Linear Canonical Transform
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Ahmad, Owais and Dar, Aijaz Ahmad
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Mathematics - Functional Analysis - Abstract
In this paper, we introduce the notion of windowed linear canonical transform in biquaternion setting namely Biquaternion Windowed Linear Canonical Transform (BiQWLCT) and various properties of BiQWLCT, such as linearity, shift, parity, orthogonality relation, inversion formula, Plancherel theorem are established. Heisenberg uncertainty principle associated with the Biquaternion Windowed Linear Canonical Transform is also derived. Towards the culmination, an example and some potential applications are presented.
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- 2024
27. Media Forensics and Deepfake Systematic Survey
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CH, Nadeem Jabbar, Saghir, Aqib, Meer, Ayaz Ahmad, Sahi, Salman Ahmad, Hassan, Bilal, and Yasir, Siddiqui Muhammad
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Multimedia - Abstract
Deepfake is a generative deep learning algorithm that creates or changes facial features in a very realistic way making it hard to differentiate the real from the fake features It can be used to make movies look better as well as to spread false information by imitating famous people In this paper many different ways to make a Deepfake are explained analyzed and separated categorically Using Deepfake datasets models are trained and tested for reliability through experiments Deepfakes are a type of facial manipulation that allow people to change their entire faces identities attributes and expressions The trends in the available Deepfake datasets are also discussed with a focus on how they have changed Using Deep learning a general Deepfake detection model is made Moreover the problems in making and detecting Deepfakes are also mentioned As a result of this survey it is expected that the development of new Deepfake based imaging tools will speed up in the future This survey gives indepth review of methods for manipulating images of face and various techniques to spot altered face images Four types of facial manipulation are specifically discussed which are attribute manipulation expression swap entire face synthesis and identity swap Across every manipulation category we yield information on manipulation techniques significant benchmarks for technical evaluation of counterfeit detection techniques available public databases and a summary of the outcomes of all such analyses From all of the topics in the survey we focus on the most recent development of Deepfake showing its advances and obstacles in detecting fake images, Comment: 46 pages, 9 figures, 5 tables
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- 2024
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28. Particle production in HRG with thermodynamically consistent EoS and partially deformable hadrons
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Mir, Sameer Ahmad, Din, Iqbal Mohi Ud, Rather, Nasir Ahmad, Uddin, Saeed, and Mir, M. Farooq
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High Energy Physics - Phenomenology ,High Energy Physics - Theory - Abstract
In the present work, we analyze several strange as well as non-strange relative hadronic yields obtained in the ultra-relativistic heavy-ion collisions (URHIC) experiments over a wide range of centre-of-mass collision energy ($\sqrt{s_{NN}}$). We invoke the formation of a hot and dense hadronic resonance gas (HRG) in the final stage following the URHIC. We use an earlier proposed thermodynamically consistent approach for obtaining the equation of state (EoS) of a HRG. It takes into account an important aspect of the hadronic interaction, viz., the hadronic hard-core repulsion, by assigning hard-core volumes to the hadrons, leading to an excluded volume (EV) type effect. We have invoked the bag model approach to assign hard-core volumes to baryons (antibaryons) while treating mesons to be point particles. We employ ansatz to obtain the dependence of the temperature and BCP of the HRG system on the centre-of-mass energy in the URHIC. We also find strong evidence of double freeze-out scenario, corresponding to baryons (antibaryons) and mesons, respectively. Strangeness (anti-strangeness) imbalance factor is also seen to play an important role in explaining the ratio of strange hadrons to the non-strange ones. The HRG model can explain the experimental data on various relative hadronic multiplicities quite satisfactorily over a wide range of $\sqrt{s_{NN}}$, ranging from the lowest RHIC energies to the highest LHC energies for the set of the model parameters obtaining the best theoretical fit to the experimental data by minimizing the $\chi^{2}$/dof value., Comment: 14 pages, 12 figures
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- 2024
29. Bilinear-Convolutional Neural Network Using a Matrix Similarity-based Joint Loss Function for Skin Disease Classification
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Ahmad, Belal, Usama, Mohd, Ahmad, Tanvir, Saeed, Adnan, Khatoon, Shabnam, and Hu, Long
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Computer Science - Computer Vision and Pattern Recognition - Abstract
In this study, we proposed a model for skin disease classification using a Bilinear Convolutional Neural Network (BCNN) with a Constrained Triplet Network (CTN). BCNN can capture rich spatial interactions between features in image data. This computes the outer product of feature vectors from two different CNNs by a bilinear pooling. The resulting features encode second-order statistics, enabling the network to capture more complex relationships between different channels and spatial locations. The CTN employs the Triplet Loss Function (TLF) by using a new loss layer that is added at the end of the architecture called the Constrained Triplet Loss (CTL) layer. This is done to obtain two significant learning objectives: inter-class categorization and intra-class concentration with their deep features as often as possible, which can be effective for skin disease classification. The proposed model is trained to extract the intra-class features from a deep network and accordingly increases the distance between these features, improving the model's performance. The model achieved a mean accuracy of 93.72%., Comment: 16 pages, 11 figures, 2 tables
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- 2024
30. A Review of the Effects of Active Learning on High Order Thinking Skills: A Meta-Analysis within Islamic Education
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Karwadi Karwadi, Abd Razak Zakaria, and Ahmad Syafii
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This study aims to ascertain the impact of the Active learning method on high-order thinking skills (HOTS) within the realm of Islamic education. Our primary contribution is the comprehensive meta-analysis of various preliminary and university educational studies. Using RStudio, we analyzed the differences in effect sizes, variations, and groups among studies. The findings indicate that the Active learning method significantly enhances HOTS, with the mixed learning method showing the most pronounced effect. We adopted a systematic approach, examining diverse learning methods like genre-based learning and blended learning model. Our research design entailed a meticulous meta-analysis of pre-existing literature rather than primary experimental or survey-based methods. However, we identified high heterogeneity in effect sizes as a limitation, suggesting the need for more nuanced studies in varied contexts. This research underscores educators' need to adapt learning strategies suited for specific educational levels, pointing towards a brighter horizon for tailored pedagogical interventions.
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- 2024
31. Importance of Metacognitive Awareness in Learning and Instruction for Engineering Students' Education
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Hendra Hidayat, Dani Harmanto, Mohd Rizal Mohd Isa, Jem Cloyd M. Tanucan, Ahmad Istiqlal Ahlunnazak, Ifdil Ifdil, and Zadrian Ardi
- Abstract
This study explores eight key themes: Self-control, personalized learning, smartphone habits, future-time perspective, information overload, digital literacy, meaningful learning, and metacognitive awareness. The primary objective is to investigate the correlations among these factors. Virtual presence serves as a moderating variable, influencing the connections between smartphone habits and digital literacy, as well as between self-control and digital literacy. Additionally, it moderates the relationship between self-control and information overload. The study collected data from 597 engineering students, utilizing a quantitative research approach and employing a questionnaire as the research instrument. Statistical analysis was conducted using a partial least squares structural equation model, implemented with SmartPLS version 4. The study's hypotheses showed a significant impact on each variable, with only the relationships between information overload and meaningful learning, and smartphone habit and metacognitive awareness showing no significant effects, as indicated by the findings.
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- 2024
32. Information Literacy and Discourse Analysis for Verifying Information among EFL Learners
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Yaseen Ali Azi, Sami Abdullah Hamdi, and Mohammed Ahmad Okasha
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The task of verifying credible and original information is now more complicated, especially for undergraduate students. This study uses information literacy and discourse analysis to develop English as a foreign language learners' critical reading skills while verifying information on social media. A reading test including false news was used to assess the learners' awareness of the credibility of social media information. Then, they were divided into experimental and control groups. The experimental group was trained in evaluating a set of false news using information literacy and discourse analysis skills. The control group did not receive any training. The experiment was conducted again on both groups. The results show a significant improvement among the experimental group compared to the control group. The findings of this study shed light on the growing need for creating a pedagogical space in English as a foreign language classroom that focuses on raising learners' awareness of information literacy and discourse analysis skills to read with critical perspectives.
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- 2024
33. Developing Context-Based Teaching Materials and Their Effects on Students' Scientific Literacy Skills
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Muhlis, Ahmad Raksun, I Putu Artayasa, Gito Hadiprayitno, and Akhmad Sukri
- Abstract
This study aims to develop context-based teaching materials and examine their effects on students' scientific literacy skills. This study adopted the developmental research model by Borg & Gall (1983), which was modified into four stages: needs analysis, model development, model validation and implementation. Experts validated the draft of the developed teaching materials, and their practicality was tested prior to their implementation in the experimental class. The implementation of the teaching materials to determine its effectiveness on scientific literacy skills applied a quasi-experimental one-shot case study design. Descriptive and inferential statistics with the analysis of covariance (ANCOVA) test were used. It shows that the context-based teaching materials met the validity and practicality criteria. The results of the analysis of the student's scientific literacy skills in control and experimental classes show a significant difference in ability (p<0.01). The implementation of the teaching materials revealed that the context-based teaching material could improve students' scientific literacy skills (p<0.01). Furthermore, post hoc analysis shows that the students' scientific literacy skills in interpreting data and evidence scientifically is higher than the other two aspects, namely in evaluating and designing scientific enquiry, as well as in explaining phenomena scientifically.
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- 2024
34. Inquiry and Debate in Science Learning: Potential Strategy for Improving Students' Scientific Argumentation Skills
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Ahmad Fauzi Hendratmoko, Madlazim Madlazim, Wahono Widodo, Suyono Suyono, and Zainful Arifin Imam Supardi
- Abstract
Scientific argumentation skills are a key component of science learning practices needed by students in the 21st century. Where the essence of scientific argumentation is to support the argument with evidence and reasoning and then refute the claims and evidence of the opponent's argument. Supporting arguments with evidence and reasoning can be facilitated through inquiry activities. Meanwhile, refuting claims and evidence from opposing arguments can be facilitated through debate activities. Inquiry and debate can be a solution to improving students' scientific argumentation skills. This study aims to prove the truth of this statement through a systematic literature review by applying the PRISMA 2020 criteria which are expanded by bibliometric analysis with the help of the VOSviewer software. The results of the study show that research related to inquiry, debate, and their influence on students' scientific argumentation skills has a pretty good trend. In Indonesia the research climate is still quite good, research topics are still in great demand, and it is very possible to carry out research innovations on related topics. Another finding is that the integration of inquiry and debate in science learning can be a potential strategy to improve students' scientific argumentation skills.
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- 2024
35. Replacing Face-to-Face with Online Meetings: Public and Private University Students' Satisfaction on Academic Advising during COVID-19 Pandemic
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Sitti Khadijah, Bambang B. Wiyono, Ach Rasyad, and Ahmad Y. Sobri
- Abstract
The COVID-19 virus pandemic has caused all governments to implement distance learning by utilizing information technology, including in academic advising. Studies conducted during the pandemic have shown changes in higher education institutions and students. This study aimed to find out and analyse the level of students' satisfaction with academic advising during the COVID-19 pandemic at public and private universities using five satisfaction indicators, namely tangibles, reliability, responsiveness, assurance, and empathy. The survey was conducted online, involving 1158 students from a total of 6 public and private universities in the city of Banjarmasin, Kalimantan Island, Indonesia. The data findings showed that in relation to the academic advising given during the COVID-19 pandemic, the students' satisfaction levels toward the provision of academic advising at both public and private universities during the COVID-19 pandemic were in the same category, which was "very satisfied". Thus, students' satisfaction levels toward academic advising at the university in Banjarmasin were very high, the demographic characteristics of the students, academic advisors, frequency of academic advising meetings and method of the academic advising meetings explained the significant differences in the students' satisfaction levels toward academic advising during COVID-19.
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- 2024
36. Parent Assistance Model in Learning Management in High Schools during the COVID-19 Pandemic
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Dakir, Ahmad Fauzi, and Abdul Qadir
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This research uses a quantitative approach and aims to explain the effectiveness of online learning through the model of assisting parents during the COVID-19 pandemic. Therefore, this study used two variables, namely the parent assistance model as the independent variable and online learning activities as the dependent variable, with a total of 57 students from 250 high school levels in Probolinggo Regency, with a sample of each school ranging from 4 and 5 people, with the collection technique through distributing a Likert scale model questionnaire, this questionnaire was given to students to obtain valid data regarding parental assistance in online learning during the COVID-19 pandemic. Thus the results of this study explain that the parental assistance model has a positive effect on online learning activities, this can be seen from the results of a simple linear regression analysis Y = a + bx (72.77 = 2.78 + 0.93 x 75). Therefore, if parental assistance is increased to a value of 75%, then the learning process for children will be 72.77%, from the R Square value, so that it can show the role and contribution of parents, namely 0.71%, thus online learning variables can be estimated by the variable parental assistance, while the remaining 29% is influenced by other factors not included in this study.
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- 2024
37. Profile of Pre-Service Elementary Teacher Creativity in Developing Higher Order Thinking Skills-Oriented Science Worksheets
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Ahmad Syawaludin, Zuhdan Kun Prasetyo, and Cepi Safruddin Abdul Jabar
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The perspective of learning science as a way of thinking and inquiry can be realized if teachers can develop higher order thinking skills (HOTS)-oriented science worksheets. Therefore, it is very important to train the creativity of Pre-service Elementary School Teachers (PETs) in developing HOTS-oriented science worksheets in the education of prospective elementary school teachers. This study aims to describe the profile of PETs' creative thinking in developing HOTS-oriented science worksheets. Research involving PETs in one of the universities in Central Java. Data collection was carried out through a creative thinking assessment rubric on worksheet products on 38 PETs. Content analysis with an interactive model is applied in research. The results showed that the aspects of fluency, flexibility, and elaboration were obtained in the sufficient category. While the aspect of originality obtained unfavorable results. The results of the study concluded that creative thinking skills in developing HOTS-oriented science worksheets were still not good. Research recommends that lecturers immediately make efforts to select effective learning methods and tools to enhance PETs' creativity in developing HOTS-oriented science worksheets.
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- 2024
38. Evaluating the Quality of Teaching Performance among Jordanian Teachers in Light of Certain Demographic Variables
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Mohammed S. Al-Rsa'I, Dima Waswas, Ahmad Altawarah, and Fatina Al-Rowad
- Abstract
The quality of teachers' teaching performance depends on several factors, and development of their performance should be made according to a sound scientific methodology, so the study aims to assess the teachers' teaching performance quality in Ma'an, Southern Jordan, and identify the extent to which their performance is affected by some variables (Gender, Professional Experience, Teaching Stages, and Training). In order to achieve the study objectives, the descriptive survey method was used, and a measure of teaching performance quality was determined, consisting of three fields (Planning, Implementation, and Assessment) and including (40) items. The scale was used by educational supervisors to assess the quality of teachers' performance in Ma'an, and (347) male and female teachers were assessed. The results showed that teachers' performance was average in general, but their performance of the first three grades was the weakest, while it was also shown that the female teachers' performance was superior to that of male teachers. The performance of specialized teachers in the scientific field was better than the performance of their counterparts in the humanitarian field. The study showed the positive impact of professional experience and training on the quality of teaching performance. The study also demonstrated the importance of the first five years in the teachers' work, therefore, the necessity of focusing on training and qualification at this stage was recommended, as well as training pre-service teachers appropriately.
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- 2024
39. Plagiarism in Academic Writing in Higher Education Institutions: A Bibliometric Analysis
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Hadijah Ahmad and Muhammad Ashraf Fauzi
- Abstract
Higher education institutions (HEI) are increasingly challenged by plagiarism, which threatens their academic standards and integrity. This is due to the fact that students have access to an overwhelming amount of information online, making it easier for them to copy and paste without giving proper credit or attribution. Additionally, the prevalence of technology has made it easier to copy and paste without detection. The study aimed to analyze the trends in plagiarism in academic writing by using bibliometric analysis, which is a technique that can measure and analyze the use of published documents. This analysis was used to identify any potential changes in the prevalence of plagiarism in academic writing over time and to identify potential factors that could be influencing it. The data is extracted from Scopus database with Boolean and proximity search strategy and found 579 related journal articles. There are tabulations of results ranging from descriptive analysis, citation analysis, co-citation analysis, and co-word analysis. The descriptive findings revealed that 'academic integrity', despite not being included in the search string, was the most commonly occurring word with 284 indicating a significant relationship between plagiarism in academic writing in HEIs. In addition, citation analysis for the top ten documents was presented. The findings of co-citation analysis highlight factors, new trends of academic integrity, and mitigation plans against plagiarism, while co-word analysis are thematically presented in three prominent clusters which is academic misconduct study, ethics and academic integrity. In most prominent articles cited by many authors, contract cheating is the new trend of plagiarism. As a result, it sheds light on the fact that academic integrity issues go beyond a new phenomenon that needs to be taken seriously. This study has both theoretical and practical implications for minimizing future plagiarism risks as well as identifying and recommending potential solutions to the problem.
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- 2024
40. Exploring Gender Disparities in Online Platform Utilization and Attitudes: A Case Study of Jerash University's Zoom Platform
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Yousef Aljaraideh and Ahmad Rabee
- Abstract
This study investigates the impact of gender differences on the utilization of online platforms and attitudes toward them. A quantitative approach was adopted, employing a questionnaire comprising two domains: utilization and attitudes. The questionnaire consisted of 34 items, and its validity and reliability were assessed. The study's sample comprised 153 randomly selected graduate students from Jerash University. The findings indicate that students' utilization of online learning platforms, particularly the Zoom platform, is high, as is their positive attitude toward it. Furthermore, statistically significant gender-based differences were observed, favoring male students in both platform utilization and attitudes. The study recommends the implementation of a quasi-experimental approach to explore the gender variable's impact on students' platform utilization. Additionally, encouraging the use of Zoom platform among both students and instructors through incentivization is suggested.
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- 2024
41. The Scenario of E-Learning in India during COVID-19
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Nisar Ahmad Bhat
- Abstract
E-learning was the most preferred mode of instruction during COVID-19 pandemic. In March 2020, the Government of India closed all the educational institutions in India due to spread of COVID-19 pandemic. The closure of educational institutions affected the schools, colleges and universities. To overcome this, the HEI's adopted various online learning methods to reach out to students. E-learning was the method which HEI's adopted for continuing the education during COVID-19 pandemic. E-learning was one of the solutions which helped students to carry their teacher learning from the safety of their respective homes. It offered flexibility to students in terms of when and where they can learn. E-learning helped students and teachers in continuity of education during pandemic as it offered a quick and scalable solution for delivering educational content remotely which allowed students to continue their education without any interruption. The aim and objectives of the current study is to analyze the scenario of E-learning in India during COVID-19 pandemic. It also highlights the importance of E-learning platforms because of which it was adopted during pandemic. Further, the study also highlights various challenges faced by teachers and students during pandemic.
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- 2024
42. The Degree of Satisfaction of Multicultural Non-Native Speakers of Arabic with a Training Program: A Case of Faculty Members
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Khalid M. A. Sheirah, Ahmad Tawalbeh, and Rula Abu-Elrob
- Abstract
This study aimed to identify the effectiveness of training on non-native speakers of Arabic at a university in Saudi Arabia from their point of view by determining the degree of their satisfaction in terms of four aspects: benefits of the offered training, trainers' performance, organizational effectiveness of the training program and the difficulties encountered by the trainees during training. The study examined whether there are differences in the averages of the trainees' responses according to the number of their previous training courses. The surveyed sample consisted of 29 trainees chosen by the intentional method. To pursue the aim of the study, both quantitative and qualitative designs were used. A questionnaire consisting of 24 items was developed and the descriptive analytical method was used.? The results showed that the average responses of the trainees in the areas of the scale as a whole were high according to the statistical standards followed in the study with an arithmetic average of (3.88). The benefit and the organization aspects of the training course received an arithmetic average of (4.63), the trainer's performance came next with an average of (4.61). In the last place is the aspect of difficulties with an average of 1.67, which is at a weak level. The study also found that there are no significant differences between the trainees' responses to the first three aspects according to the number of previous training courses the trainees attended. ?However, there are statistically significant differences for the fourth aspect 'difficulties encountered by the trainees', as the value of (f) is (5.34). The study offers insights into the usefulness of holding such a training program for refining the skills of the trainees and enhancing their teaching strategies to create a better classroom environment.
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- 2024
43. Study of Ibn Sina's Educational Thought and Its Contextualization in the Contemporary Era
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Made Saihu, Supriyadi Ahmad, Darwis Hude, and Muhammad Hariyadi
- Abstract
This study discusses the structure of Ibn Sina's thought and its contextualization in the contemporary era from a subjective point of view referring to aspects of soul purification. Ibn Sina divides the human soul into three parts, they are: "nabatiyyah," "hayawâniyyah," and "insâniyyah" souls. According to Ibnu Sina, human morals are in the "nabatiyyah," so the education that must be taught is education related to morals, cleanliness, and the arts, this education is carried out at the Early Childhood Education level. When the child is in the "hayawaniyyah," that is when the child can respond and move through sensing, then the student is in a state of stimulation through understanding the Qur'an, especially reading, and interpreting it, followed by lessons to be able to study, analyze and be critical of the meaning from every verse of Allah SWT, both "kauliyyah" (the Qur'an) and "kauniyyah" (the universe). In the "insâniyyah" soul, the child is endeavored to be educated so that they can integrate intellectual, emotional, and spiritual intelligence, to create an integrative education, they are education that can unite the dimensions of service ("al-'Amilah") and spiritual ("al-'Alimah"). This literature review confirms that to achieve the goals of Islamic education, the educational model that is applied wherever possible leads to purification of the soul, because with a pure soul the process of entering knowledge into students' souls will be easy. An educational perspective that places purification of the soul as an offer of Islamic education in the contemporary era. Keywords: Education, Ibn Sina, Purification of the Soul, Contemporary
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- 2024
44. Design and Effectiveness Augmented Reality of Greenhouse Effect Integration Model Physics Independent Learning
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Firmanul C. Wibowo, Hadi Nasbey, Ubed Alizkan, Dina R. Darman, Bayram Costu, Nur Jahan Ahmad, and Muhammad A. H. Bunyamin
- Abstract
Augmented Reality (AR) can positively impact learning and provide authentic experiences in the form of simulations by increasing enthusiasm for learning and activities in the classroom. This research aims to develop the design and effectiveness of the Augmented Reality Greenhouse Effect (ARGE) Integration Model Physics Independent Learning (MPIL) and explore the results of the product and their application in physics learning. The ARGE application will be implemented in universities located in the central part of Indonesia ARGE presents a simulation of learning tools to train lecturers and students with the implementation of AR technology, which aims to transfer real learning experiences to understand the concept of the Greenhouse Effect. The research method chosen in the ADDIE method was carried out on 127 students and integrated with MPIL. The number of these students participated in research, where they were divided into three student groups: (i) Semester 3 (N= 42), (ii) Semester 5 (N= 42), and (iii) Semester 7 (N= 43). After 12 weeks of lectures, most students stated a significant positive confirmation of ARGE implantation. These results revealed that the application of ARGE MPIL based on testing the effects of the product by students had excellent practicality in teaching in relevance with a percentage of 92.38%. Then the self-confidence aspect obtained a percentage of 94.29%, and the satisfaction aspect received a percentage of 97.14%. The ARGE design is integrated with MPIL developed to properly simulate the Greenhouse Effect concept. ARGE is effectively categorized as an excellent medium for learning the Greenhouse Effect concept.
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- 2024
45. Malaysian Teachers' Views on Robot-Mediated Intervention to Train Autism Spectrum Disorder (ASD) Children on Emotional Regulation
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Faizanah Abdul Alim Sidique, Aishah Hanim Abd Karim, Madihah Khalid, Siti Rafiah Abd Hamid, Mastura Badzis, Shahrul Naim Sidek, Hazlina Md Yusof, Ahmad Aidil Arafat Dzulkarnain, and Ariff Rashidan
- Abstract
This qualitative study explored the views of teachers and an occupational therapist about the potential use of humanoid robots as an assistive tool in educating autism spectrum disorder (ASD) children. Seven participants with extensive experience handling early intervention programs for ASD children were selected via purposive sampling. Semi-structured interviews and focus group discussion (FGD) were applied as data collection method. Data gained were analyzed using thematic analysis. Four main themes were identified from the study, they are: (1) Teachers' knowledge about robots, (2) Robots increase children's engagement, (3) Roles of robots in intervention, and (4) advantages and disadvantages of using robots. All participants had observed a robot-mediated intervention involving interactions between ASD children and a humanoid robot. It was observed that most of the children at the center liked interacting with the robot, suggesting that the use of robots could benefit ASD children. However, these interactions must be monitored and limited to a certain period to avoid over-dependence on robot use. This study provides a novel perspective on robotics and a practical example of how to use robots to enhance learning outcomes for ASD children.
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- 2024
46. Gender Disparity in Students' Performance of Science and Mathematics: Evidence from Nationwide Study in Pakistan
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Sadia Muzaffar Bhutta, Aisha Naz Ansari, and Sohail Ahmad
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Gender disparity in science and mathematics performance is being researched internationally. In a complex education system, like Pakistan, studying the difference in isolation may not generate holistic understanding. Therefore, this paper investigates changes in trends of performance in Science and Mathematics for both genders across public and private schools. Data were gathered from a nationwide sample of elementary grades students (n=15,391) using SATs/MATS. Independent t-test and two-way-ANOVA were employed to analyse data. Results revealed that girls outperformed boys in Science (p<0.01) while no gender differences in performance were observed in Mathematics. Gender and school systems demonstrated significant interaction effect only in mathematics, unveiling that girls perform better in public schools while this difference diminished in the private school system. The results show implications for employing gender-fair policies and practices in science and mathematics education.
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- 2024
47. Aligning Numeracy Task Design with SDG Goals: Nutrition Facts as a Context for Prospective Mathematics Teachers' Problem Posing
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Yurizka Melia Sari, Ahmad Wachidul Kohar, Yulia Izza El Milla, Shofan Fiangga, and Dwi Shinta Rahayu
- Abstract
Nutrition facts are the details on food packaging that describe its nutritional value, including serving size, calories, macronutrients like carbohydrates, protein, and fat, and micronutrients such as vitamins and minerals. These facts have mathematical concepts that can be utilized as a context for prospective teachers to create mathematical problems. By leveraging this real-world data, educators can contribute to multiple Sustainable Development Goals (SDGs), particularly SDG 3 (Good Health and Well-being), by promoting nutritional awareness, and SDG 4 (Quality Education) by enhancing student engagement and understanding through relatable examples. This study examines the profile of mathematical tasks created by prospective mathematics teachers using nutrition facts as a context that meets numeracy task criteria. Data were collected from 62 mathematical tasks created by 31 prospective teachers attending a realistic mathematics education course on numeracy based on a problem-posing task at a public university in Surabaya, Indonesia. The posed tasks were categorized into solvable or unsolvable tasks and the domains of the level of context use and the level of cognitive processes. Results revealed that the level of context use in the posed tasks varied from zero to second order. Surprisingly, most of the tasks were in the first-order level context. Most posed tasks reached the application level, with only a few identified as reasoning tasks. Interestingly, some tasks coded as second-order context were classified as reasoning tasks. The study provides implications for designing numeracy tasks using nutrition facts and interventions in teacher education related to numeracy task design.
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- 2024
48. Translating Bloom's Taxonomy Action Verb List into Arabic for Teacher Preparation Programs: Challenges/Problems and Solutions
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Ziad ElJishi, Faten S. M. Abdel-Hame, Ahmad Khuddro, and Salman Yusuf Zay
- Abstract
This paper presents a unified Arabic version of the English action verbs mentioned in Bloom's taxonomy (1956) that has been checked for validity and reliability by a panel of education experts. Methodologically, the Bloom's list of action verbs was first translated into Arabic by an expert professor of translation. Then, using a mixed-method approach the Arabic list was validated by three bilingual education experts working at universities in Bahrain, Qatar, and the United Arab Emirates. As part of the process, the paper established a single Bloom's taxonomy list of action verbs, based on the data provided by two reputable educational institutions that were cross-checked with a well-referenced textbook. A contextualized Arabic translation of the list was then produced and was subjected to rigorous checks by a panel of reviewers who were the education experts. The paper presents the challenges faced in translating the list into Arabic and the solutions we have adopted as well as the validity and reliability checks. The implication of this paper is in offering teacher preparation programs across the Arab world an Arabic Bloom's taxonomy list that can be used by in-service and pre-service teachers. Moreover, it contributes to teacher literacy in the correct use of Bloom's action verbs in the Arabic language.
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- 2024
49. Cross-Cultural Insights on Computational Thinking in Geometry: Indonesian and Japanese Students' Perspectives
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Rully Charitas Indra Prahmana, Satoshi Kusaka, Nur Robiah Nofikusumawati Peni, Hiroyuki Endo, Ahmad Azhari, and Kanako Tanikawa
- Abstract
Current research indicates the presence of highly skilled and motivated students with robust computational thinking backgrounds seeking opportunities to leverage their expertise in driving innovation and success in this era. These studies also reveal that students' computational thinking skills vary widely depending on educational resources, curriculum emphasis, and individual aptitude. Nonetheless, there is a growing recognition of the importance of fostering these skills, with efforts underway to integrate them more comprehensively into education systems worldwide, including in Indonesia and Japan, as representatives of developing and developed countries. Therefore, assessing the competency of computational thinking in these two countries would be intriguing. The descriptive qualitative research method was employed to delineate the computational thinking competencies of students in Indonesia and Japan. Student worksheets, specifically designed for this purpose, were utilized to gauge the development of these competencies during the learning process using the Scratch application. The results revealed that students employed various strategies in solving the given geometry problems. On the other hand, geometry is one of the mathematics topics that can identify students' computational thinking using this application. These findings were utilized to categorize students' computational thinking skills in the two countries and to identify potential obstacles students experienced in their efforts to enhance these skills. Nevertheless, these constraints offer significant insights into potential areas for future investigation and enhancement. Subsequent endeavors could prioritize conducting experiments by implementing specific learning approaches or methods that have demonstrated effectiveness in improving students' computational thinking skills. This study not only underscores the potential for expanding research on students' computational thinking skills but also provides an overview of the learning process, learning culture, and students' competence in solving geometry problems with tiered difficulty levels using their computational thinking skills.
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- 2024
50. A Systematic Study of Multimedia Implementation and its Impact towards User Engagement
- Author
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Ahmad Anshari
- Abstract
Multimedia has been a strategy in teaching processes, especially within the learning management system (LMS). However, multimedia tools have not delivered satisfaction towards the learning process. In addition, the lack of engagement within the LMS has been a real problem for e-learning. Therefore, this study aims to identify what the challenges are in implementing multimedia and how multimedia could enhance user engagement. This study hopes to give both academics and practitioners insights into a successful multimedia implementation within the LMS platform. This study is conducted through a systematic literature review (SLR) based on the PRISMA methodology, which contains four filtering phases: identification, screening, eligibility, and inclusion. The study managed to obtain 25 relevant papers on multimedia and user engagement after several filtering processes. It was found that interactive multimedia was the most implemented multimedia type. Furthermore, the pedagogical strategy was claimed the most important challenge that needs to be considered in multimedia implementation. Moreover, the results show that perceived interaction within multimedia could significantly enhance user engagement in LMS.
- Published
- 2024
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