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6. Influential Factors on Technology-Based Learning in Science, Mathematics, and Engineering (SME): A Case-Analysis from 305 Studies

Author

Liu, Leping, Chen, Li-Ting, and Li, Wenzhen

Abstract

With new technology tools available for educators and students, effectively using these tools to improve teaching and learning has become a constant theme for research and practice in the field of education. In this study, case-analysis was conducted on 305 published studies (from 140 peer-reviewed regional, national and international journals) that explored the effect of using technology on student learning in science, mathematics, and engineering (SME) at K-12 and university levels. Seven factors were summarized ("Content Design," "Technology Design," "Integration Design," "Interactive Learning," "Motivation," "New Trends in Content," and "New Trends in Technology") and used to generate a logistic predictive model. The model suggests that five of the seven factors significantly predicting the probability of a technology-based SME learning experience to be successful. A technology integration model was tested with the case analysis. Static and dynamic instructional design models and new trends in e-learning are also discussed.

Published
2021

24. Edge-Cloud Synergy Based Construction of Multi-task and Lifelong Learning Knowledge

Author

Zhang, Hailong, Luo, Hanwu, Li, Wenzhen, Qin, Ruofeng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, and Na, Zhenyu, editor

Published
2022
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25. A Rapid Image Semantic Segment Method Based on Deeplab V3+

Author

Zhang, Hailong, Luo, Hanwu, Li, Wenzhen, Qin, Ruofeng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, and Na, Zhenyu, editor

Published
2022
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29. Dynamic Assessment and Prediction in Online Learning: Exploring the Methods of Collaborative Filtering in a Task Recommender System

Author

Liu, Leping, Liang, Ying, and Li, Wenzhen

Abstract

Dynamic learning is a featured learning style in the second decade of the 21st century, emphasizing on the processes of individual or collaborative learning. Conducting dynamic assessment becomes critical to achieve the goals of learning. As learning becomes more individualized, online learning platforms have embedded a task recommender system to identify and predict individual needs, and to recommend different exercises or tasks for each learner so they can gain knowledge more efficiently. This article introduces the logistics of a task recommender system that can be used to perform dynamic assessment, and the methods of the learner-based collaborative filtering in a task recommender system, followed by an example that demonstrates the methods and procedures to assess the recommender effect.

Published
2017

30. A telomere-to-telomere genome assembly of Hongyingzi, a sorghum cultivar used for Chinese Baijiu production

Author

Ding, Yanqing, primary, Wang, Yilin, additional, Xu, Jianxia, additional, Jiang, Feng, additional, Li, Wenzhen, additional, Zhang, Qiaoling, additional, Yang, Longping, additional, Zhao, Zhenyu, additional, Cheng, Bin, additional, Cao, Ning, additional, Gao, Xu, additional, Zhang, Xin, additional, Zou, Guihua, additional, Yang, Fan, additional, and Zhang, Liyi, additional

Published
2024
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39. Power Equipment Identification Based on Single Shot Detector

Author

Luo, Hanwu, Li, Wenzhen, Wu, Qirui, Zhang, Hailong, Peng, Zhonghan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Cai, Xiantao, editor

Published
2021
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40. Research on Active Learning Method Based on Domain Adaptation and Collaborative Training

Author

Li, Wenzhen, Wu, Qirui, Luo, Hanwu, Zhang, Guoli, Peng, Zhonghan, Chen, Kai, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Cai, Xiantao, editor

Published
2021
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41. Dimensionality Reduction Algorithm

Author

Li, Wenzhen, Wu, Qirui, Peng, Zhonghan, Chen, Kai, Zhang, Hui, Shen, Houming, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Liu, Xin, editor, Na, Zhenyu, editor, Li, Xiaoxia, editor, and Zhang, Baoju, editor

Published
2021
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47. Technology in Counseling Education and Practice: Case Analysis and a Dynamic Course Design

Author

Liu, Leping, Li, Wenzhen, and Scherer, Rebecca

Abstract

Technology has been increasingly used in counseling education and professional practice in the past two decades. To ensure technology is appropriately used to produce expected quality of counseling work, design of technology integration in counseling becomes a key point. The first part of this article presents a critical literature review and analysis on factors identified from the literature that may influence the success of a counseling case. A total of 261 cases from current literature were analyzed on five factors (Overall Design, Design of Counseling, Design of Technology Integration, Purpose of Technology Use, and Format of Counseling) regarding their influence on the success of counseling experiences. The first three factors in the five were found to be significant and hence included in a prediction model. The second part of this article demonstrates a dynamic design of an online course that prepares counseling students to use technology in their practice.

Published
2016

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