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2. The State of the Field of Computational Thinking in Early Childhood Education. OECD Education Working Papers. No. 274
- Author
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Organisation for Economic Cooperation and Development (OECD) (France), Bers, Marina Umaschi, Strawhacker, Amanda, and Sullivan, Amanda
- Abstract
Computer programming and associated Computational Thinking (CT) skills are essential to thriving in today's academic and professional world. There has been a growing focus globally on fostering CT skills as well as on introducing computer programming concepts and languages beginning as early as kindergarten and pre-primary school. Tools, curriculum, and frameworks to promote CT in the early years must be designed and implemented in ways that engage children who cannot yet read and write, who learn through play, and who have a short attention span and limited working memory but also strong natural curiosity. This review summarises empirical and theoretical literature on the state of the field of CT as it relates to early learning and development, a time when young children are being introduced to foundational skills, such as literacy and numeracy, which can carefully be complemented by an exploration of CT.
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- 2022
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3. LGâs contribution into AI and the research paper submission to ICLR 2024
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LG Electronics Inc. ,Consumer electronics industry ,Artificial intelligence ,Computer science ,Consumer electronics industry ,Artificial intelligence ,Consumer news and advice ,General interest - Abstract
In a bid to invest in Artificial Intelligence, consumer group LG recently earned some academic bragging rights as two of its research papers focused on AI were chosen and presented [...]
- Published
- 2024
4. Reflective Practices among Secondary School Computer Science Teachers: Their Point of View
- Author
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Lubna Mohammed Alshamrani
- Abstract
Reflective practice is an essential catalyst through which the benefits of teaching and learning can be reaped. Through it, weaknesses and strengths can be identified in a way that helps raise the level of addressing challenges that may arise as well as overcome them. This paper presents the critical reflective practices among computer science secondary school teachers from their point of view in Riyadh, Saudi Arabia. To this extent, the study aims to determine the degree of critical reflective practices among computer science secondary school teachers in Riyadh from their perspective. The paper also seeks to investigate the effects of variables such as gender, qualifications and experience on the perceptions of the aforementioned teachers, towards the critical reflective practices among computer science secondary school teachers. The study tool is a questionnaire which consisted of two dimensions and was distributed to a population of 739 participants. From this, the study sample comprised (223) computer science teachers working in secondary school in Riyadh. The findings revealed that there is no significant difference in the estimation degree concerning the critical reflective practices due to the gender. From the results, it was also established that there is no significant difference in the degree of estimation in relation to the critical reflective practices due to educational qualification variables. On the contrary however, there is a significant difference in the degree of estimation in regard to the critical reflective practices due to the years of experience variable. These differences were evident in a group of those with more than 10 years of experience. The other findings produced by the study highlight that the participants are in agreement about the importance of critical reflective practices. The degree of reflective practice, which is from the participants' point of view, is considered to be of a high value. The majority of the subjects opted to agree with the practice of reflection after a training session. It was determined from the results that some of the most common strategies favored by practitioners involved the communal practice of mind reflection with individuals from outside the school.
- Published
- 2024
5. Inter part 2 Computer Science Guess Papers 2024 Punjab boards
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Computer science ,General interest ,News, opinion and commentary - Abstract
Intermediate annual exams under BISE Lahore and other Punjab boards are underway. The following is a suggested guess paper for the 2024 final board exams in Computer Science, applicable to [...]
- Published
- 2024
6. Design Automation of Paper Microfluidic Devices
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Potter, Joshua
- Subjects
Computer science ,Bioengineering ,Design automation ,microfluidics ,paper - Abstract
The emerging demands for healthcare where access is limited due to political, environmental, or socio-economic factors have been driving research into bio-medical devices that perform in both diagnostic and therapeutic roles at lower costs and greater accessibility. Paper microfluidic devices are used in many applications, particularly medical diagnostics and offer an excellent combination of utility and low cost making them particularly valuable in resource-limited applications and point-of-care usage across a wide variety environmental conditions. Microfluidic biological diagnostics continue to mature as researchers discover new ways to exploit the technological possibilities, and address liabilities. The increasing complexity of paper-based microfluidic devices beyond home pregnancy tests is driving the need to produce new tools and methodologies that enable more robust biological diagnostics and potential therapeutic applications. However, the process of developing new paper microfluidic devices is limited due to having to manually design and fabricate designs to research. Often, researchers must design scores of different devices to find a combination of parameters that functions as expected. In this work, a novel software framework to support automated development of paper-based microfluidic devices is introduced to facilitate both research and fabrication to accelerate the investigative process and reduce material utilization and manpower. Unlike to existing lab-on-a-chip technologies, paper-based microfluidics differs in terms of substrate technologies and use a passive flow method to deliver fluids and reagents for assays. While numerous analogies between microfluidics and semiconductor technologies have been espoused, the physical differences between the fluid dynamics and electrical current are significant which suggests that current trends in physical design for microfluidics must change course in order to be of practical use to designers. Within this framework, a methodology is introduced to address design automation such as dynamically placing and routing microfluidic components in a non-discrete design space while avoiding invalid design layouts, accounting for fluid volume usage, surface area utilization, and the timing required to perform specified biological assays and also optimizing device parameters, enabling researchers to focus on the science and thereby accelerating the development of new, low-resource paper microfluidic devices for a developing world.
- Published
- 2022
7. An analysis of retracted papers in Computer Science.
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Shepperd, Martin and Yousefi, Leila
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COMPUTER science ,DATABASES ,RETRACTORS (Surgery) ,SECONDARY analysis ,SCIENTIFIC community - Abstract
Context: The retraction of research papers, for whatever reason, is a growing phenomenon. However, although retracted paper information is publicly available via publishers, it is somewhat distributed and inconsistent. Objective: The aim is to assess: (i) the extent and nature of retracted research in Computer Science (CS) (ii) the post-retraction citation behaviour of retracted works and (iii) the potential impact upon systematic reviews and mapping studies. Method: We analyse the Retraction Watch database and take citation information from the Web of Science and Google scholar. Results: We find that of the 33,955 entries in the Retraction watch database (16 May 2022), 2,816 are classified as CS, i.e., ≈ 8%. For CS, 56% of retracted papers provide little or no information as to the reasons. This contrasts with 26% for other disciplines. There is also some disparity between different publishers, a tendency for multiple versions of a retracted paper to be available beyond the Version of Record (VoR), and for new citations long after a paper is officially retracted (median = 3; maximum = 18). Systematic reviews are also impacted with ≈ 30% of the retracted papers having one or more citations from a review. Conclusions: Unfortunately, retraction seems to be a sufficiently common outcome for a scientific paper that we as a research community need to take it more seriously, e.g., standardising procedures and taxonomies across publishers and the provision of appropriate research tools. Finally, we recommend particular caution when undertaking secondary analyses and meta-analyses which are at risk of becoming contaminated by these problem primary studies. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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8. Differences between journal and conference in computer science: a bibliometric view based on Bayesian network.
- Author
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Sun, Mingyue, Yue, Mingliang, and Ma, Tingcan
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BAYESIAN analysis ,COMPUTER science conferences ,COMPUTER science ,CONFERENCE papers ,ACADEMIC conferences ,BIBLIOMETRICS - Abstract
This paper aims to investigate the differences between conference papers and journal papers in the field of computer science based on Bayesian network. This paper investigated the differences between conference papers and journal papers in the field of computer science based on Bayesian network, a knowledge-representative framework that can model relationships among all variables in the network. We defined the variables required for Bayesian networks modeling, calculated the values of each variable based Aminer dataset (a literature data set in the field of computer science), learned the Bayesian network and derived some findings based on network inference. The study found that conferences are more attractive to senior scholars, the academic impact of conference papers is slightly higher than journal papers, and it is uncertain whether conference papers are more innovative than journal papers. The study was limited to the field of computer science and employed Aminer dataset as the sample. Further studies involving more diverse datasets and different fields could provide a more complete picture of the matter. By demonstrating that Bayesian networks can effectively analyze issues in Scientometrics, the study offers valuable insights that may enhance researchers' understanding of the differences between journal and conference in computer science. Academic conferences play a crucial role in facilitating scholarly exchange and knowledge dissemination within the field of computer science. Several studies have been conducted to examine the distinctions between conference papers and journal papers in terms of various factors, such as authors, citations, h-index and others. Those studies were carried out from different (independent) perspectives, lacking a systematic examination of the connections and interactions between multiple perspectives. This paper supplements this deficiency based on Bayesian network modeling. [ABSTRACT FROM AUTHOR]
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- 2023
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9. Score Prediction from Programming Exercise System Logs Using Machine Learning
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Tanaka, Tetsuo and Ueda, Mari
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In this study, the authors have developed a web-based programming exercise system currently implemented in classrooms. This system not only provides students with a web-based programming environment but also tracks the time spent on exercises, logging operations such as program editing, building, execution, and testing. Additionally, it records their results. For educators, the system offers insights into each student's progress, the evolution of their source code, and the instances of errors. While teachers find these functions beneficial, the method of providing feedback to students needs improvement. Immediate feedback is proven to be more effective for student learning. If the final course score could be predicted based on early data (e.g., from the 1st or 2nd week), students could adapt their study strategies accordingly. This paper demonstrates that one can predict the final score using the system's operational logs from the initial phases of the course. Furthermore, the score predictions can be revised weekly based on new class logs. We also explore the potential of offering tailored advice to students to enhance their final score. [For the full proceedings, see ED636095.]
- Published
- 2023
10. Could AI help you to write your next paper?
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Hutson, Matthew
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- 2022
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11. Evaluation of Question papers by Board of Intermediate and Secondary Education using Item Analysis and Blooms Taxonomy.
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Mahroof, Ameema and Saeed, Muhammad
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CARDBOARD ,SECONDARY education ,BLOOM'S taxonomy ,READING comprehension ,COMPUTER science education - Abstract
This small scale study aims to analyze the question papers of Board of Intermediate and Secondary Education in the subject of computer science with reference to item analysis and Bloom's taxonomy. Data were collected from 100 students of Grade 9
th and 10th from the schools of Lahore city using convenient sampling technique. Data collected on the papers developed by Board of Intermediate and Secondary Education for the year of 2015 and 2016. Item analyses were performed using Conquest software. Findings of the study shows that in the question papers conducted by Board of Intermediate and Secondary Education the majority questions were measuring the student abilities of knowledge and comprehension and only few questions were given to measure the student abilities to analyze, synthesize and evaluate, and this can be very helpful for the policy makers. Result of item analysis shows that many questions were not in the acceptable range of item difficulty and item discrimination. Items in the question papers were either too easy or too difficult. Findings revealed that the papers conducted and administered by Board of Intermediate and Secondary Education were not up to the mark, with reference to Bloom's taxonomy. The researcher recommended to train the assessment committee/panel developing the items. [ABSTRACT FROM AUTHOR]- Published
- 2021
12. Are Papers Asking Questions Cited More Frequently in Computer Science?
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Dalibor Fiala, Pavel Král, and Martin Dostal
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computer science ,papers ,citations ,questions ,Web of Science ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
In this article, we test the hypothesis that computer science papers asking questions (i.e., those with a question mark at the end of their title) are cited more frequently than those that do not have this property. To this end, we analyze a data set of almost two million records on computer science papers indexed in the Web of Science database and focus our investigation on the mean number of citations per paper of its specific subsets. The main finding is that the average number of citations per paper of the so-called “asking papers” is greater by almost 20% than that of other papers, and that this difference is statistically significant.
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- 2021
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13. Challenges, Experiments, and Computational Solutions in Peer Review.
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SHAH, NIHAR B.
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SCHOLARLY peer review ,COMPUTER science ,EXPERIMENTS ,PREJUDICES ,STATISTICAL bias - Abstract
The author discusses computational methods utilized in the peer review process. It examines the availability of data in peer review, and experimentation in peer review design. It also discusses author identity bias, overall subjectivity in peer review, and author incentives.
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- 2022
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14. Paper-Based Biosensors for COVID-19: A Review of Innovative Tools for Controlling the Pandemic
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Ana P.M. Tavares, Cristina E. A. Sousa, Rodrigo Martins, Maria Teresa Cruz, Ana C. Marques, Elvira Fortunato, Felismina T.C. Moreira, M. Goreti F. Sales, A. Rita Cardoso, Tomás Pinheiro, Ana Matos, and Universidade do Minho
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Diagnostic methods ,Coronavirus disease 2019 (COVID-19) ,Computer science ,General Chemical Engineering ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Immunology ,02 engineering and technology ,Viral antigen ,Peptides and proteins ,Diagnostic tools ,01 natural sciences ,Biopolymers ,Pandemic ,Medical diagnosis ,Antigens ,QD1-999 ,Science & Technology ,SARS-CoV-2 ,010401 analytical chemistry ,General Chemistry ,Paper based ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,3. Good health ,Chemistry ,Risk analysis (engineering) ,Perspective ,0210 nano-technology - Abstract
The appearance and quick spread of the new severe acute respiratory syndrome coronavirus disease, COVID-19, brought major societal challenges. Importantly, suitable medical diagnosis procedures and smooth clinical management of the disease are an emergent need, which must be anchored on novel diagnostic methods and devices. Novel molecular diagnostic tools relying on nucleic acid amplification testing have emerged globally and are the current gold standard in COVID-19 diagnosis. However, the need for widespread testing methodologies for fast, effective testing in multiple epidemiological scenarios remains a crucial step in the fight against the COVID-19 pandemic. Biosensors have previously shown the potential for cost-effective and accessible diagnostics, finding applications in settings where conventional, laboratorial techniques may not be readily employed. Paper- and cellulose-based biosensors can be particularly relevant in pandemic times, for the renewability, possibility of mass production with sustainable methodologies, and safe environmental disposal. In this review, paper-based devices and platforms targeting SARS-CoV-2 are showcased and discussed, as a means to achieve quick and low-cost PoC diagnosis, including detection methodologies for viral genomic material, viral antigen detection, and serological antibody testing. Devices targeting inflammatory markers relevant for COVID-19 are also discussed, as fast, reliable bedside diagnostic tools for patient treatment and follow-up., The authors acknowledge funding through projects Eco2Covid (POCI-01-02B7-FEDER-068174) and TecniCov (POCI-01-02B7-FEDER-069745), co-funded by FEDER through COMPETE2020 and Lisboa2020. T.P., A.R.C. and A.C.M. acknowledge funding to National Foundation for Science and Technology, I.P., FCT, through their PhD grants, references DFA/BD/8606/2020, SFRH/BD/130107/2017 and SFRH/BD/115173/2016, respectively, info:eu-repo/semantics/publishedVersion
- Published
- 2021
15. Purchase Of Consumable Items In Computer Science And, Engineering Department , A4 Paper, Stapler Pin, White Board Marker, White Board Marker, Permanent Marker, Cd Marker, Chalk, Chalk, Glue Stick, Aaa Battery, Aa Battery
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Batteries ,Computer science ,Business, international - Abstract
Tenders are invited for Purchase Of Consumable Items In Computer Science And, Engineering Department , A4 Paper, Stapler Pin, White Board Marker, White Board Marker, Permanent Marker, Cd Marker, Chalk, [...]
- Published
- 2023
16. RESEARCHERS RECEIVE BEST PAPER AWARD
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Electrical engineering ,Embedded systems ,Computer science ,Embedded system ,System on a chip ,Electrical engineering ,News, opinion and commentary ,Washington State University - Abstract
PULLMAN, Wash. -- The following information was released by Washington State University: By Alexandria Osborne, Voiland College of Engineering and Architecture School of Electrical Engineering and Computer Science researchers recently [...]
- Published
- 2023
17. An Operations Research-Based Teaching Unit for Grade 11: The ROAR Experience, Part II
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Gabriella Colajanni, Alessandro Gobbi, Marinella Picchi, Alice Raffaele, and Eugenia Taranto
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In this paper, we continue describing the project and the experimentation of "Ricerca Operativa Applicazioni Reali" (ROAR; in English, Real Applications of Operations Research), a three-year project for higher secondary schools, introduced. ROAR is composed of three teaching units, addressed to Grades 10, 11, and 12, respectively, having the main aim to improve students' interest, motivation, and skills related to Science, Technology, Engineering, and Mathematics disciplines by integrating mathematics and computer science through operations research. In a previous paper, we reported on the design and implementation of the first unit, started in Spring 2021 at the scientific high school IIS Antonietti in Iseo (Brescia, Italy), in a Grade-10 class. Here, we focus on the second unit, carried out in Winter/Spring 2022 with the same students, now in a Grade-11 class. In particular, we describe objectives, prerequisites, topics and methods, the organization of the lectures, digital technologies used, and a challenging final project. Moreover, we analyze the feedback from students and teachers involved in the experimentation.
- Published
- 2024
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18. From Crisis to Opportunity: Practices and Technologies for a More Effective Post-COVID Classroom
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Jeremie Regnier, Ethan Shafer, Edward Sobiesk, Nicholas Stave, and Malcolm Haynes
- Abstract
In our post-pandemic world, where the majority of higher education institutions have transitioned back to in-person classes, this paper argues that we must not return to pre-COVID teaching practices. Instead, we have the obligation and opportunity to create an educational experience and environment that better facilitates learning and instruction. This paper presents post-COVID best practices for employing technology in higher education based on an original survey and follow-up interviews of seventeen computing instructors at our institution. After a literature review, we describe four general categories of practices that enhance the post-COVID classroom: online student activities, digital instructor notes, remote classroom participation and collaboration, and a paperless classroom. For each of these categories, we provide vignettes to illustrate scope and intent. We also offer recommendations for addressing digital dishonesty, required infrastructure, institutional support, and being prepared to seamlessly return to a blended or fully remote environment in the event of another crisis. Finally, we identify additional emerging technological challenges and opportunities that require further effort. Overall, this paper emphasizes the need for a shift towards improved practices in the classroom rather than just a return to pre-pandemic norms. We believe implementing these recommendations will result in a more flexible, accessible, and robust post-COVID educational experience.
- Published
- 2024
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19. Neither Computer Science, nor Information Studies, nor Humanities Enough: What Is the Status of a Digital Humanities Conference Paper?
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Estill, Laura and Guiliano, Jennifer
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DIGITAL humanities ,ELECTRONIC data processing ,COMPUTER science ,HUMANITIES ,SOCIAL sciences - Abstract
Copyright of Digital Studies / Champ Numérique is the property of Open Library of Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Published
- 2023
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20. South African research contributions to Lecture Notes in Computer Science, 1973-2022.
- Author
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Naudé, Filistéa and Kroeze, Jan H.
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COMPUTER science ,ARTIFICIAL intelligence ,RESEARCH personnel ,AUTHORSHIP collaboration ,PERIODICAL articles - Abstract
Lecture Notes in Computer Science (LNCS) is a globally recognised publication outlet for the field of Computer Science, including in South Africa. In this study, spanning from 1973 to 2022, we investigated the research participation of South African based authors in LNCS. The publication output and citation impact of these authors were compared to the global Computer Science and LNCS output. The authorship patterns and collaborative behaviour of South African LNCS papers were explored, and a keyword or topic analysis also conducted. Of the total of 518 662 LNCS papers published globally between 1973 and 2022, South African based researchers contributed 1150 papers (0.22%). The LNCS papers from South Africa exhibit a strong collaborative publication culture, with 1043 (91%) co-authored and 107 (9%) singleauthored works. Local LNCS researchers prefer institutional collaboration (43%), followed by international (37%) and national collaboration (11%). Europe emerged as the most significant collaboration partner for LNCS researchers in South Africa. Of the 1150 papers, 836 (73%) had received citations, while 314 (27%) had not. On average, papers published by South African based authors received 6.05 citations, compared to the global LNCS average of 9.49 citations per paper. A keyword analysis revealed that the majority of papers by South African authors focus on artificial intelligence. The results indicate that, although LNCS serves as a reputable dissemination platform for Computer Science research output both globally and locally, South African authors should consider publishing more journal articles to build and improve their researcher profiles. Significance: * The study shows that LNCS is the most frequent publication outlet for Computer Science researchers, globally and in South Africa. * The study offers insight into the publication output, authorship patterns, collaborative behaviour and citation impact of South African based Computer Science researchers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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21. GCSE pupils slam OCR for 'hardest paper ever' that 'nobody was happy with'; The OCR computer science exam left even the top students scratching their heads
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Students ,Computer science ,General interest ,News, opinion and commentary - Abstract
Byline: By, Ellen Jenne GCSE students from all across the UK shared their anger over the OCR computer science paper which was dubbed the hardest they've ever seen. The hour [...]
- Published
- 2023
22. Printability and quality of papers coated with different binders
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Emine ARMAN KANDIRMAZ, Arif Ozcan, and ÖZCAN A., Kandirmaz E. A., ZELZELE Ö. B.
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Bilgisayar Bilimi Uygulamaları ,paper coating ,Computer Sciences ,printability ,BİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR ,Mühendislik, Bilişim ve Teknoloji (ENG) ,COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ,COMPUTER SCIENCE ,Bilgisayar Grafiği ,Computer Graphics and Computer-Aided Design ,Computer Science Applications ,Fizik Bilimleri ,Physical Sciences ,Computer Graphics ,Bilgisayar Grafikleri ve Bilgisayar Destekli Tasarım ,Engineering and Technology ,Bilgisayar Bilimi ,Bilgisayar Bilimleri ,Mühendislik ve Teknoloji ,paper quality ,Engineering, Computing & Technology (ENG) ,binder - Abstract
Papers are the most commonly used substrates. A printable paper must have certain properties. These properties include surface smoothness, air permeability, surface energy, colour of the paper, opacity, whiteness, light fastness, gloss, and coefficient of elongation under force. In addition, a good printable paper should not allow ink to pass between its two surfaces. After the papers are produced, they are subjected to surface treatments in order to improve the above-mentioned properties and to provide extra specification. Surface treatments include calendering, surface sizing and coating processes. While filling the recesses and protrusions on the surface with the coating process, the paper's affinity for the ink is increased, and the penetration of the ink to the other surface of the paper is prevented. In the coating process basically, a filler is dispersed in a binder. In this study, it is aimed to obtain the highest quality and most printable paper by changing the type of binder used in the coating. In this study, equal amount (5% w/w) titanium dioxide filler was used in all coating formulations. In coating formulations; cationic starch, hydroxy ethyl cellulose and polyvinyl alcohol polymers were used as binders. Binder amounts are adjusted according to optimum viscosity. The obtained coating formulations were coated on the paper surface with a laboratory type coating device. Colour, gloss, surface smoothness, air permeability, surface energy and surface morphology of the coated papers were determined. It was printed with magenta offset printing ink on three different types of paper coated with different binders, using the IGT C1 offset printability test device, under 400 N/m2 pressure printing conditions. Colour and gloss measurements of the prints were made. As a result; It was determined that three different binders improved the printability parameters.
- Published
- 2022
23. Preface of the Special Issue Dedicated to Selected Papers from IWOCA 2022.
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Bazgan, Cristina and Fernau, Henning
- Subjects
- *
WATERMARKS , *COMPUTER science , *DATA structures , *INDEPENDENT sets , *BIPARTITE graphs - Abstract
The 33rd International Workshop On Combinatorial Algorithms (IWOCA 2022) was held at the University of Trier in Germany. This workshop covers a wide range of topics related to combinatorial algorithms. The special issue of the journal Algorithmica contains extended versions of selected papers from IWOCA 2022, which were nominated by the Program Committee and underwent a rigorous reviewing process. The special issue includes nine papers on various topics such as perfect matchings, algorithmic questions, and winner determination algorithms. One paper was chosen as the Best Paper of IWOCA 2022 and another as the Best Student Paper. The special issue is recommended for readers interested in exploring more papers from IWOCA 2022. [Extracted from the article]
- Published
- 2024
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24. ACM Honors Work by NTT Research Cryptographer with Best Paper Award
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College teachers -- Achievements and awards ,Cryptography ,Computer science ,Business ,Business, international - Abstract
Paper on Private Information Retrieval Co-authored by CIS Lab Senior Scientist Daniel Wichs Recognized at ACM Symposium on Theory of Computing SUNNYVALE, Calif. -- NTT Research, Inc., a division of [...]
- Published
- 2023
25. A paper-based colorimetric molecular test for SARS-CoV-2 in saliva
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Josiah Levi Davidson, Jiangshan Wang, Jordan Seville, Suraj Mohan, Mohit S. Verma, Sai Venkata Sravan Putikam, Ana Pascual-Garrigos, Fujr Osman Ibrahim Osman, Murali Kannan Maruthamuthu, Andres Dextre, and Darby McChesney
- Subjects
Detection limit ,Saliva ,Chromatography ,Colorimetric LAMP ,Computer science ,SARS-CoV-2 ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Biomedical Engineering ,Biophysics ,Loop-mediated isothermal amplification ,Paper based ,Paper-based diagnostics ,Article ,Microfluidic paper-based analytical devices ,Electrochemistry ,TP248.13-248.65 ,Biotechnology - Abstract
Herein, we describe the development of a paper-based device to detect nucleic acids of pathogens of interest in complex samples using loop-mediated isothermal amplification (LAMP) by producing a colorimetric response visible to the human eye. To demonstrate the utility of this device in emerging public health emergencies, we developed and optimized our device to detect SARS-CoV-2 in human saliva without preprocessing. The resulting device was capable of detecting the virus within 60 min and had an analytical sensitivity of 97% and a specificity of 100% with a limit of detection of 200 genomic copies/μL of patient saliva using image analysis. The device consists of a configurable number of reaction zones constructed of Grade 222 chromatography paper separated by 20 mil polystyrene spacers attached to a Melinex® backing via an ARclean® double-sided adhesive. The resulting device is easily configurable to detect multiple targets and has the potential to detect a variety of pathogens simply by changing the LAMP primer sets.
- Published
- 2021
26. The Influences of Computer Game Play and Social Media Use on Computer Science Identity and Computer Science Career Interests
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Shah, Zohal, Chen, Chen, Sonnert, Gerhard, and Sadler, Philip M.
- Abstract
Computer gameplay and social media are the two most common forms of entertainment in the digital age. Many scholars share the assumption that leisure-time digital consumption is associated with CS affinity, but there is a dearth of research evidence for this relationship. Female students generally spend less time on gaming and more time on social media than do male students, so a gender comparison perspective is helpful. Using a national sample of 10,197 U.S. college students in introductory CS courses, we found that frequent computer gameplay was strongly associated with CS career interest for both male and female students. However, increased social media use predicted a higher CS career interest for female students, but a lower interest in male students.
- Published
- 2023
- Full Text
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27. Paper-Based Point-of-Care Testing of SARS-CoV-2
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Yuan Jia, Jinpeng Tian, Wenwei Zhang, Hao Sun, and Qiuming Song
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Histology ,Coronavirus disease 2019 (COVID-19) ,Computer science ,COVID-19 diagnostics ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Point-of-care testing ,Biomedical Engineering ,Diagnostic test ,Bioengineering and Biotechnology ,Bioengineering ,Paper based ,Research opportunities ,Review ,paper-based ,Field (computer science) ,Risk analysis (engineering) ,point-of-care ,CRISPR ,immunoassay ,TP248.13-248.65 ,Biotechnology ,Point of care - Abstract
The COVID-19 pandemic has resulted in significant global social and economic disruption. The highly transmissive nature of the disease makes rapid and reliable detection critically important. Point-of-care (POC) tests involve performing diagnostic tests outside of a laboratory that produce a rapid and reliable result. It therefore allows the diagnostics of diseases at or near the patient site. Paper-based POC tests have been gaining interest in recent years as they allow rapid, low-cost detection without the need for external instruments. In this review, we focus on the development of paper-based POC devices for the detection of SARS-CoV-2. The review first introduces the principles of detection methods that are available to paper-based devices. It then summarizes the state-of-the-art paper devices and their analytical performances. The advantages and drawbacks among methods are also discussed. Finally, limitations of the existing devices are discussed, and prospects are given with the hope to identify research opportunities and directions in the field. We hope this review will be helpful for researchers to develop a clinically useful and economically efficient paper-based platform that can be used for rapid, accurate on-site diagnosis to aid in identifying acute infections and eventually contain the COVID-19 pandemic.
- Published
- 2021
28. Hospitals and Laboratories on Paper-Based Sensors: A Mini Review
- Author
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Huaizu Zhang, Chengbin Xia, Guangfu Feng, and Jun Fang
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Computer science ,microfluidics ,Review ,TP1-1185 ,Biochemistry ,paper-based sensor ,lateral flow test strips ,Analytical Chemistry ,Mini review ,Software portability ,Nucleic Acids ,Organic Chemicals ,Electrical and Electronic Engineering ,Process engineering ,Instrumentation ,business.industry ,Chemical technology ,bioassay trace ,Paper based ,Hospitals ,Atomic and Molecular Physics, and Optics ,Metals ,Analysis tools ,Laboratories ,business ,Mobile device - Abstract
With characters of low cost, portability, easy disposal, and high accuracy, as well as bulky reduced laboratory equipment, paper-based sensors are getting increasing attention for reliable indoor/outdoor onsite detection with nonexpert operation. They have become powerful analysis tools in trace detection with ultra-low detection limits and extremely high accuracy, resulting in their great popularity in medical detection, environmental inspection, and other applications. Herein, we summarize and generalize the recently reported paper-based sensors based on their application for mechanics, biomolecules, food safety, and environmental inspection. Based on the biological, physical, and chemical analytes-sensitive electrical or optical signals, extensive detections of a large number of factors such as humidity, pressure, nucleic acid, protein, sugar, biomarkers, metal ions, and organic/inorganic chemical substances have been reported via paper-based sensors. Challenges faced by the current paper-based sensors from the fundamental problems and practical applications are subsequently analyzed; thus, the future directions of paper-based sensors are specified for their rapid handheld testing.
- Published
- 2021
29. Impact of artificial intelligence and machine learning in the insurance industry: A bibliometric analysis 2000-2022.
- Author
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Selvakumar, Lokesh and Shanmugam, Vasantha
- Subjects
ARTIFICIAL intelligence ,BIBLIOMETRICS ,INSURANCE companies ,COMPUTER science ,COMPUTER science conferences ,MACHINE learning ,CONFERENCE papers - Abstract
Artificial Intelligence (AI) and Machine Learning (ML) transforming the Insurance industry by improving efficiency, reducing costs, and providing a better customer experience. As these technologies continue to evolve, more innovation can be expected in the Insurance industry. A Bibliographic analysis is conducted for scientific mapping based on 1,084 SCOPUS-indexed publications between the year 2000-2022 using VOSviewer Application. The Analysis was conducted based on Publications by year, Source, Author, Affiliation, Country, Type, Subject Area and Funding Sponsors. The research found the result, the year 2022 had the highest publication of 203, through documents per year by the source of Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics at 43 publications, Bauder, R.A. author is the maximum contributor, Harvard Medical School has been the major affiliate, United States of America, has the maximum 341 publications, Conference paper has the majority participation at 412 documents at 38 percent and Keywords "Artificial intelligence", Machine Learning" and "Insurance" has the highest occurrence. The maximum number of publications inthe field of computer science at 28 percent. Overall, this bibliographic analysis provides a comprehensive overview of the current state of research in AI and Machine Learning in the Insurance industry and highlights the potential for further innovation and development in this field. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
30. Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press
- Author
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Antonio J. Marques Cardoso, Rui Assis, Balduíno César Mateus, Mateus Mendes, and José Torres Farinha
- Subjects
Technology ,Multivariate statistics ,Control and Optimization ,Computer science ,GRU ,Energy Engineering and Power Technology ,Machine learning ,computer.software_genre ,Predictive maintenance ,predictive maintenance ,LSTM ,recurrent neural network ,paper press ,Autoregressive integrated moving average ,Electrical and Electronic Engineering ,Engineering (miscellaneous) ,Hyperparameter ,Artificial neural network ,Renewable Energy, Sustainability and the Environment ,business.industry ,Univariate ,Statistical model ,Recurrent neural network ,Artificial intelligence ,business ,computer ,Energy (miscellaneous) - Abstract
The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data. Neural networks, such as long short-term memory (LSTM) and the gated recurrent unit (GRU), are good predictors for univariate and multivariate data. The present paper describes a case study where the performances of long short-term memory and gated recurrent units are compared, based on different hyperparameters. In general, gated recurrent units exhibit better performance, based on a case study on pulp paper presses. The final result demonstrates that, to maximize the equipment availability, gated recurrent units, as demonstrated in the paper, are the best options.
- Published
- 2021
- Full Text
- View/download PDF
31. Formalizing Opponent Modeling with the Rock, Paper, Scissors Game
- Author
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Erik Brockbank and Edward Vul
- Subjects
Statistics and Probability ,Technology ,Adaptive reasoning ,Exploit ,business.industry ,Computer science ,Process (engineering) ,Applied Mathematics ,ComputingMilieux_PERSONALCOMPUTING ,Social Sciences ,adversarial reasoning ,rock-paper-scissors ,Adversary ,Adversarial system ,sequential reasoning ,ddc:330 ,Adversarial process ,Artificial intelligence ,Statistics, Probability and Uncertainty ,business ,competition ,Simple (philosophy) - Abstract
In simple dyadic games such as rock, paper, scissors (RPS), people exhibit peculiar sequential dependencies across repeated interactions with a stable opponent. These regularities seem to arise from a mutually adversarial process of trying to outwit their opponent. What underlies this process, and what are its limits? Here, we offer a novel framework for formally describing and quantifying human adversarial reasoning in the rock, paper, scissors game. We first show that this framework enables a precise characterization of the complexity of patterned behaviors that people exhibit themselves, and appear to exploit in others. This combination allows for a quantitative understanding of human opponent modeling abilities. We apply these tools to an experiment in which people played 300 rounds of RPS in stable dyads. We find that although people exhibit very complex move dependencies, they cannot exploit these dependencies in their opponents, indicating a fundamental limitation in people’s capacity for adversarial reasoning. Taken together, the results presented here show how the rock, paper, scissors game allows for precise formalization of human adaptive reasoning abilities.
- Published
- 2021
- Full Text
- View/download PDF
32. Digital Learning Experiences and Spaces: Learning from the Past to Design Better Pedagogical and Curricular Futures
- Author
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Bough, Ashley and Martinez Sainz, Gabriela
- Abstract
Over 60 years of technology development, transformation of educational policy and curriculum innovation in Ireland have resulted in the introduction of the Computer Science (CS) subject in Post-Primary (PP) Education. CS has always been conceived digitally and the Digital Learning Experiences (DLE) enacted through its curriculum are strongly interconnected to the opportunities and limitations offered by Digital Spaces (DS). However, key challenges have been identified for the successful implementation of CSE, from teachers' digital competencies and educational strategies in the classroom to learners' varying experiences of CSE. Through a systematic literature review of the educational policies and practices in Ireland's Educational System, this paper documents the digital evolution from the 1960s accounting for the CS curriculum. The literature review identifies key themes in how DS have been conceptualised through CSE, responding to learners' needs and teachers' skills and competencies, informed by emerging societal demands by providing evidence on the disparity between educational policy and practice for DS. Building upon the identified themes, this paper emphasises the importance of the design and implementation of DLE in DS such as the CS subject that considers historical lessons learned to respond to the uncertainties of the digital future.
- Published
- 2023
- Full Text
- View/download PDF
33. Lab-on-Paper Devices for Diagnosis of Human Diseases Using Urine Samples—A Review
- Author
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Yu-Chi Chang, Wei-Chun Tai, Lung-Ming Fu, and Dean Chou
- Subjects
Paper ,medicine.medical_specialty ,Computer science ,Point-of-care testing ,Microfluidics ,Clinical Biochemistry ,microfluidic ,non-invasive samples ,Sample (statistics) ,Review ,02 engineering and technology ,01 natural sciences ,paper-based devices ,Human health ,Human disease ,Lab-On-A-Chip Devices ,Fabrication methods ,medicine ,Humans ,Medical physics ,lab-on-paper ,010401 analytical chemistry ,General Medicine ,Microfluidic Analytical Techniques ,021001 nanoscience & nanotechnology ,urine ,0104 chemical sciences ,Point-of-Care Testing ,Detection performance ,0210 nano-technology ,TP248.13-248.65 ,Biotechnology - Abstract
In recent years, microfluidic lab-on-paper devices have emerged as a rapid and low-cost alternative to traditional laboratory tests. Additionally, they were widely considered as a promising solution for point-of-care testing (POCT) at home or regions that lack medical infrastructure and resources. This review describes important advances in microfluidic lab-on-paper diagnostics for human health monitoring and disease diagnosis over the past five years. The review commenced by explaining the choice of paper, fabrication methods, and detection techniques to realize microfluidic lab-on-paper devices. Then, the sample pretreatment procedure used to improve the detection performance of lab-on-paper devices was introduced. Furthermore, an in-depth review of lab-on-paper devices for disease measurement based on an analysis of urine samples was presented. The review concludes with the potential challenges that the future development of commercial microfluidic lab-on-paper platforms for human disease detection would face.
- Published
- 2021
34. Hybrid Technologies Combining Solid-State Sensors and Paper/Fabric Fluidics for Wearable Analytical Devices
- Author
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César Fernández-Sánchez, Cecilia Jiménez-Jorquera, Meritxell Rovira, and Swiss National Science Foundation
- Subjects
Computer science ,electrochemical (bio)sensor ,Clinical Biochemistry ,Wearable computer ,Clinical analysis | Electrochemical (bio)sensor | Fabric microfluidics | Paper microfluidics | Solid-state sensors | Wearables ,Biosensing Techniques ,Review ,02 engineering and technology ,Diagnostic tools ,solid-state sensors ,01 natural sciences ,Continuous analysis ,Wearable Electronic Devices ,Biological fluids ,Humans ,Fluidics ,fabric microfluidics ,Sweat ,Wearable technology ,Ensure healthy lives and promote well-being for all at all ages ,business.industry ,Textiles ,010401 analytical chemistry ,clinical analysis ,General Medicine ,021001 nanoscience & nanotechnology ,Solid state sensor ,0104 chemical sciences ,wearables ,Systems engineering ,paper microfluidics ,Patient status ,0210 nano-technology ,business ,Biomarkers ,TP248.13-248.65 ,Biotechnology - Abstract
The development of diagnostic tools for measuring a wide spectrum of target analytes, from biomarkers to other biochemical parameters in biological fluids, has experienced a significant growth in the last decades, with a good number of such tools entering the market. Recently, a clear focus has been put on miniaturized wearable devices, which offer powerful capabilities for real-time and continuous analysis of biofluids, mainly sweat, and can be used in athletics, consumer wellness, military, and healthcare applications. Sweat is an attractive biofluid in which different biomarkers could be noninvasively measured to provide rapid information about the physical state of an individual. Wearable devices reported so far often provide discrete (single) measurements of the target analytes, most of them in the form of a yes/no qualitative response. However, quantitative biomarker analysis over certain periods of time is highly demanded for many applications such as the practice of sports or the precise control of the patient status in hospital settings. For this, a feasible combination of fluidic elements and sensor architectures has been sought. In this regard, this paper shows a concise overview of analytical tools based on the use of capillary-driven fluidics taking place on paper or fabric devices integrated with solid-state sensors fabricated by thick film technologies. The main advantages and limitations of the current technologies are pointed out together with the progress towards the development of functional devices. Those approaches reported in the last decade are examined in detail.
- Published
- 2021
35. PAPELERIA LAS CORTES S.L.L secures contract for Paper stationery and other items - Supply of office material, stationery, consumables of computer science and printing material for the City of Chiclana de la Frontera
- Subjects
Stationery ,Computer science ,Contract agreement ,News, opinion and commentary - Abstract
Spain based PAPELERIA LAS CORTES S.L.L has secured contract from Junta de Gobierno del Ayuntamiento de Chiclana de la Frontera for Paper stationery and other items - Supply of office [...]
- Published
- 2022
36. GERSA INFORMATICA SL secures contract for Paper stationery and other items - Supply of office material, stationery, consumables of computer science and printing material for the City of Chiclana de la Frontera
- Subjects
Stationery ,Computer science ,Contract agreement ,News, opinion and commentary - Abstract
Spain based GERSA INFORMATICA SL has secured contract from Junta de Gobierno del Ayuntamiento de Chiclana de la Frontera for Paper stationery and other items - Supply of office material, [...]
- Published
- 2022
37. Tapping into early PhD aspirations to advance gender equity in computing: predicting PhD interest among upward transfer students
- Author
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Blaney, Jennifer M., Feldon, David F., and Litson, Kaylee
- Published
- 2024
- Full Text
- View/download PDF
38. Digital Modes of Interpretation of Pictish Sculpture
- Author
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Sharon Pisani, Alan Miller, and Mark Hall
- Abstract
Cultural heritage is no longer something that can only be experienced in a museum exhibition. Digital tools have facilitated the distribution of material relating to artefacts, both in its representation and in presenting its context. This paper describes how digital modelling techniques can be synthesised with 3D scanning to digitally restore artefacts and create authentic replicas of their original states. The digital artefacts can then be used to assist the process of interpreting these artefacts in diverse forms, both in the museum and outside the museum. The study looks at Pictish sculpture as a case-study, restoring 3D models of two stones, and creating varying opportunities for their interpretation. As part of this study, new interactive tools, a virtual reality environment, and a virtual tour are built to assist immersive interpretation of the Pictish sculpture. The application of these digitised objects serves as an opportunity for informal learning. These applications were evaluated during a drop-in session. Findings show that all participants enjoyed the immersive mode of learning with 89% also showing a willingness to learn more about the topic.
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- 2024
- Full Text
- View/download PDF
39. FDA RELEASES TWO DISCUSSION PAPERS TO SPUR CONVERSATION ABOUT ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN DRUG DEVELOPMENT AND MANUFACTURING
- Subjects
United States. Food and Drug Administration ,Artificial intelligence ,Machine learning ,Computer science ,Algorithms ,Pharmaceutical industry ,Algorithm ,Artificial intelligence ,News, opinion and commentary - Abstract
SILVER SPRING, MD -- The following information was released by the U.S. Food and Drug Administration (FDA): By: Patrizia Cavazzoni, M.D., Director of the Center for Drug Evaluation and Research [...]
- Published
- 2023
40. Beyond Boundaries of Cultural Capital in Determining the Inclusion of Information Technology in the High School Curriculum
- Author
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Dewa, Alton
- Abstract
Few high schools offer Information Technology (IT)) as a subject in South Africa. This paper used Bourdieu's conception of cultural capital to investigate the reasons why many public schools are shunning away from including IT in their curriculum. Data were collected using a questionnaire and analysed using ANOVA, to determine whether cultural capital influences choosing IT as one of the subjects in the school curriculum. The results showed that public high school principals view IT as a subject that should be done in schools where there is medium-to-high cultural capital status. It is a challenge for schools with low cultural capital to offer IT among their subjects as it is not practiced by the community or society in which the schools exist. The paper concludes by recommending that there is room for the so-called 'low cultural capital' schools to offer IT among their subjects despite the challenges they are facing. Cultural capital does not hinder students' performance. Students from low cultural capital communities can achieve good grades even though they learn under difficult circumstances of inadequate educational resources.
- Published
- 2022
41. Proceedings of International Conference on Research in Education and Science (Antalya, Turkey, March 24-27, 2022). Volume 1
- Author
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International Society for Technology, Education and Science (ISTES) Organization, Shelley, Mack, Akcay, Hakan, and Ozturk, Omer Tayfur
- Abstract
"Proceedings of International Conference on Research in Education and Science" includes full papers presented at the International Conference on Research in Education and Science (ICRES) which took place on March 24-27, 2022 in Antalya, Turkey. The aim of the conference is to offer opportunities to share ideas, to discuss theoretical and practical issues and to connect with the leaders in the fields of education and science. The conference is organized annually by the International Society for Technology, Education, and Science (ISTES). The ICRES invites submissions which address the theory, research or applications in all disciplines of education and science. The ICRES is organized for: faculty members in all disciplines of education and science, graduate students, K-12 administrators, teachers, principals and all interested in education and science. After peer-reviewing process, all full papers are published in the Conference Proceedings. [Individual papers are indexed in ERIC.]
- Published
- 2022
42. Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach.
- Author
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Moctezuma, Daniela, López-Vázquez, Carlos, Lopes, Lucas, Trevisan, Norton, and Pérez, José
- Subjects
MACHINE learning ,COMPUTER science ,INFORMATION science ,CLASSIFICATION ,CARTOGRAPHY - Abstract
Science as a whole is organized into broad fields, and as a consequence, research, resources, students, etc., are also classified, assigned, or invited following a similar structure. Some fields have been established for centuries, and some others are just flourishing. Funding, staff, etc., to support fields are offered if there is some activity on it, commonly measured in terms of the number of published scientific papers. How to find them? There exist well-respected listings where scientific journals are ascribed to one or more knowledge fields. Such lists are human-made, but the complexity begins when a field covers more than one area of knowledge. How to discern if a particular paper is devoted to a field not considered in such lists? In this work, we propose a methodology able to classify the universe of papers into two classes; those belonging to the field of interest, and those that do not. This proposed procedure learns from the title and abstract of papers published in monothematic or "pure" journals. Provided that such journals exist, the procedure could be applied to any field of knowledge. We tested the process with Geographic Information Science. The field has contacts with Computer Science, Mathematics, Cartography, and others, a fact which makes the task very difficult. We also tested our procedure and analyzed its results with three different criteria, illustrating its power and capabilities. Interesting findings were found, where our proposed solution reached similar results as human taggers also similar results compared with state-of-the-art related work. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
43. Research Paper On Artificial Intelligence And It's Applications.
- Author
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Patil, N. H., Patel, S. H., and Lawand, S. D.
- Subjects
ARTIFICIAL intelligence ,EXPERT systems ,COMPUTER science ,WEATHER forecasting ,SERVICE industries - Abstract
In the future, intelligent machines will replace or enhance human capabilities in many areas. Artificial intelligence is the intelligence exhibited by machines or software. It is the subfield of computer science. Artificial intelligence is becoming a popular field in computer science as it has enhanced the human life in many areas. Artificial intelligence in the last two decades has greatly improved performance of the manufacturing, service sector and so in the field of education. Study in the field of artificial intelligence has given rise to the rapidly growing technology known as expert system. Application areas of artificial intelligence is heaving a huge impact on various fields of life as expert system is widely used in these days to solve the complex problems in various areas as education, engineering, business, medicine, weather forecasting etc. The areas employing the technology of artificial intelligence have seen an increase in the quality and efficiency. This paper gives an overview of this technology and the scope of artificial intelligence in different areas with special reference to the use of this technology in the field of education along with its meaning, searching techniques, inventions and future. [ABSTRACT FROM AUTHOR]
- Published
- 2023
44. UWL researchers publish paper on robotic systems
- Subjects
Machine learning ,Computer science ,Robotics ,Business, international - Abstract
London: University of West London has issued the following news release: A research team from the University of West London's School of Computing and Engineering (SCE) has had their robotics [...]
- Published
- 2023
45. 'I'll just stop grading': Students, faculty reflect on ChatGPT after computer science course turns to paper exams
- Author
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Hampton, Charlotte
- Subjects
Students ,Computer science ,Computer education ,News, opinion and commentary ,Sports and fitness - Abstract
Byline: Charlotte Hampton After concerns that students were using ChatGPT to complete recitation assignments in COSC 10, 'Problem Solving via Object-Oriented Programming,' computer science professor Timothy Pierson moved exams in [...]
- Published
- 2023
46. Sber to award RUB 1 mn to author of best AI research paper
- Subjects
Russia. Russian Academy of Sciences ,Machine learning ,Computer science ,Business, international - Abstract
Moscow: Sberbank has issued the following press release: Sber will hold a competition for artificial intelligence (AI) and machine learning (ML) research papers and articles with the big prize of [...]
- Published
- 2022
47. A Teachable Moment: 'H-Classic Papers in Atomic Spectroscopy'
- Author
-
Bush, Laura and Workman, Jerome
- Subjects
Computer science ,Spectrum analysis ,Chemistry ,Engineering and manufacturing industries ,Physics ,Science and technology - Abstract
In the November 2021 issue of Spectroscopy, we published a review paper titled 'H-Classic Papers in Atomic Spectroscopy: An Integrative Literature Review' (1). This paper caused quite a bit of [...]
- Published
- 2022
48. Exposing the Chameleon-Like Nature of Racism: A Multidisciplinary Look at Critical Race Theory in Higher Education
- Author
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Lin, Judith C. P.
- Abstract
In higher education institutions, critical race theory (CRT) is known to be associated with fields that study racial disparities or systemic oppression such as law, education, and ethnic studies. The impression that CRT is unrelated to fields like business or computer science may have led scholars and practitioners from these disciplines to put their focus on elsewhere than on racial inequality and its implication in their research and practice, despite apparent need. To counter such fallacy, this review article--focusing primarily on the US context--discusses CRT literature in fields where its presence is less known which are nevertheless among the major domains of higher education institutions: health sciences, computer science and information technology, sports, business, and religion. By discussing example research of how scholars have utilized CRT in different fields to challenge the race-neutral thinking that often obscures structural racism, this paper exposes racism's ability to alter manifestations and to appear through various shapes and forms within the higher education context. Initial recommendations on how educators may engage in further discussions or actions will also be considered. This paper concludes that racist ideologies are often hidden behind discipline-specific vocabulary or technical language, and it is by tackling the ideologies at work underneath the technicalities can we address the chameleon-like nature of racism more effectively.
- Published
- 2023
- Full Text
- View/download PDF
49. A genre-based analysis of questions and comments in Q&A sessions after conference paper presentations in computer science.
- Author
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Xu, Xiaoyu
- Subjects
- *
COMPUTER science , *PRAGMATISM , *ACADEMIC discourse , *CONFERENCES & conventions , *CORPORA - Abstract
Asking questions and making comments in conference Q&A sessions can be challenging for novice academics. Discussants not only try to seek answers or exchange ideas with the presenter but also endeavour to project a positive image of themselves by asking the 'right' questions in the 'right' way. However, many novice academics fear looking foolish because of unfocused and convoluted questions. Surprisingly, little guidance is available for how to formulate Q&A questions. This study attempts to address the gap by investigating the forms, functions and generic moves of 268 turns taken by discussants in 80 computer science conference Q&A sessions. Certain forms (i.e., question and comment) were found to be associated with certain pragmatic functions. This study reveals that different types of question/comment have major moves in common. The study also shows that the more evaluative and face-threatening the question is, the more important it is for the discussant to make the moves of building rapport with the presenter, and contextualising and justifying the main question/statement. The importance of justifying the main question/statement also resonates with the persuasive nature of scientific argumentative discourse. The findings can offer novice academics detailed explanations of the communicative purposes and strategies for this important conference interaction. • The two forms (question & comment) are associated with different functions. • All types of questions/comments were found to share the major generic moves. • Evaluative/critical questions entail building rapport as a move. • Evaluative/critical questions entail justifying the question as a move. • The importance of justification resonates with scientific argumentative discourse. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
50. Extraction and evaluation of formulaic expressions used in scholarly papers
- Author
-
Florian Boudin, Akiko Aizawa, Kenichi Iwatsuki, The University of Tokyo (UTokyo), Traitement Automatique du Langage Naturel (TALN ), Laboratoire des Sciences du Numérique de Nantes (LS2N), IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), National Institute of Informatics (NII), and This work was supported by JSPS, Japan KAKENHI Grant Numbers 19J12466 and 18H03297 and by Atlanstic 2020 sabbatical grant IKEBANA, France.
- Subjects
FOS: Computer and information sciences ,Dependency (UML) ,Computer science ,Formulaic expressions ,computer.software_genre ,Lexicon ,Artificial Intelligence ,Digital Libraries (cs.DL) ,ComputingMilieux_MISCELLANEOUS ,060201 languages & linguistics ,Computer Science - Computation and Language ,business.industry ,05 social sciences ,General Engineering ,050301 education ,Computer Science - Digital Libraries ,06 humanities and the arts ,16. Peace & justice ,Computer Science Applications ,[INFO.INFO-TT]Computer Science [cs]/Document and Text Processing ,Variation (linguistics) ,0602 languages and literature ,Extraction methods ,Artificial intelligence ,business ,Computation and Language (cs.CL) ,0503 education ,computer ,Natural language processing ,Sentence - Abstract
Formulaic expressions, such as 'in this paper we propose', are helpful for authors of scholarly papers because they convey communicative functions; in the above, it is showing the aim of this paper'. Thus, resources of formulaic expressions, such as a dictionary, that could be looked up easily would be useful. However, forms of formulaic expressions can often vary to a great extent. For example, 'in this paper we propose', 'in this study we propose' and 'in this paper we propose a new method to' are all regarded as formulaic expressions. Such a diversity of spans and forms causes problems in both extraction and evaluation of formulaic expressions. In this paper, we propose a new approach that is robust to variation of spans and forms of formulaic expressions. Our approach regards a sentence as consisting of a formulaic part and non-formulaic part. Then, instead of trying to extract formulaic expressions from a whole corpus, by extracting them from each sentence, different forms can be dealt with at once. Based on this formulation, to avoid the diversity problem, we propose evaluating extraction methods by how much they convey specific communicative functions rather than by comparing extracted expressions to an existing lexicon. We also propose a new extraction method that utilises named entities and dependency structures to remove the non-formulaic part from a sentence. Experimental results show that the proposed extraction method achieved the best performance compared to other existing methods., 21 pages, 11 figures
- Published
- 2022
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