Results 11 to 20 of about 496,088 (288)

Preference Cognitive Diagnosis for Student Performance Prediction

IEEE Access, 2020
Knowledge states modeling is a fundamental issue in online education. One of its tasks is to discover the potential knowledge capacity of students for predicting their performance (i.e., scores on exercises).
Peichao Jiang, Xiaodong Wang
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Personalized and adaptive learning

Texto Livre: Linguagem e Tecnologia, 2021
Education Technology advances many aspects of learning. More and more learning is taking place online. Learners’ learning behaviors, style, and performance can be easily profiled through learning analytics which collects their online learning footage. It
Rebeca Soler Costa, Qing Tan, Frédérique Pivot, Xiaokun Zhang, Harris Wang   +4 more
doaj   +1 more source

Prediction of DNA-Binding Protein–Drug-Binding Sites Using Residue Interaction Networks and Sequence Feature

Frontiers in Bioengineering and Biotechnology, 2022
Identification of protein–ligand binding sites plays a critical role in drug discovery. However, there is still a lack of targeted drug prediction for DNA-binding proteins. This study aims at the binding sites of DNA-binding proteins and drugs, by mining
Wei Wang, Wei Wang, Yu Zhang, Dong Liu, Dong Liu, HongJun Zhang, XianFang Wang, Yun Zhou   +7 more
doaj   +1 more source

Motivational Social Visualizations for Personalized E-Learning [PDF]

, 2012
A large number of educational resources is now available on the Web to support both regular classroom learning and online learning. However, the abundance of available content produces at least two problems: how to help students find the most appropriate
A. Dieberger, A. Dieberger, A. Mabbott, A. Mitrovic, A. Wexelblat, B. Shneiderman, D. Cecez-Kecmanovic, D.H.J.M. Dolmans, D.W. Johnson, E. Melis, F. Bakalov, I.-H. Hsiao, I.-H. Hsiao, J. Kay, J. Kurhila, J. Vassileva, J. Vassileva, J. Vassileva, J. Veroff, J.A. Méndez, K.R. Koedinger, L. Barolli, L. Festinger, L.S. Vygotsky, M.M. Shepherd, N.S. Feldman, P. Brusilovsky, P. Brusilovsky, P. Brusilovsky, P. Brusilovsky, R. Farzan, R. Mazza, R. Rao, S. Bull, S. Bull, S.N. Lindstaedt, V. Dimitrova, Z.-H. Chen   +37 more
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An open learning environment for the diagnosis, assistance and evaluation of students based on artificial intelligence [PDF]

, 2014
The personalized diagnosis, assistance and evaluation of students in open learning environments can be a challenging task, especially in cases that the processes need to be taking place in real-time, classroom conditions.
Fruh, Wolf-Gerrit, Fylladitakis, Emmanouil, Hatziapostolou, Antonis, Papadakis, Andreas, Samarakou, Maria, Tsaganou, Grammatiki   +5 more
core   +2 more sources

Continued Progress: Promising Evidence on Personalized Learning [PDF]

, 2015
The findings are grouped into four sections. The first section on student achievement finds that there were positive effects on student mathematics and reading performance and that the lowest-performing students made substantial gains relative to their ...
Elizabeth D. Steiner, John F. Pane, Laura S. Hamilton, Matthew d. Baird   +3 more
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Towards Personalized Federated Learning

IEEE Transactions on Neural Networks and Learning Systems, 2023
Accepted by IEEE Transactions on Neural Networks and Learning ...
Alysa Ziying Tan, Han Yu, Lizhen Cui, Qiang Yang   +3 more
openaire   +4 more sources

Semantic Learning Service Personalized [PDF]

International Journal of Computational Intelligence Systems, 2012
To provide users with more suitable and personalized service, personalization is widely used in various fields. Current e-Learning systems search for learning resources using information search technology, based on the keywords that selected or inputted ...
Yibo Chen, Chanle Wu, Xiaojun Guo, Jiyan Wu   +3 more
doaj   +1 more source

A systematic literature review of personalized learning terms

Smart Learning Environments, 2020
Learning is a natural human activity that is shaped by personal experiences, cognitive awareness, personal bias, opinions, cultural background, and environment. Learning has been defined as a stable and persistent change in what a person knows and can do.
Atikah Shemshack, Jonathan Michael Spector   +1 more
doaj   +1 more source

CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning

Computers and Education: Artificial Intelligence, 2023
The CHAT-ACTS pedagogical framework presented in this paper integrates personalized chatbots into active and self-regulated learning (SRL) to enhance student engagement, motivation, and learning outcomes.
Michael Pin-Chuan Lin, Daniel Chang
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