Results 11 to 20 of about 6,178,397 (360)

To Learn, Unlearn, and Relearn with Personalized Language Learning and Educational Technology [PDF]

E3S Web of Conferences, 2023
The implementation of Personalized Learning as a learning system provides opportunities for students to manage learning according to their competencies, time, and interests.
Maheswara Abyana, Rifai Irfan
doaj   +1 more source

PMVT: a lightweight vision transformer for plant disease identification on mobile devices

Frontiers in Plant Science, 2023
Due to the constraints of agricultural computing resources and the diversity of plant diseases, it is challenging to achieve the desired accuracy rate while keeping the network lightweight.
Guoqiang Li, Yuchao Wang, Yuchao Wang, Qing Zhao, Peiyan Yuan, Peiyan Yuan, Baofang Chang, Baofang Chang   +7 more
doaj   +1 more source

Survey of Personalized Learning Recommendation [PDF]

Jisuanji kexue yu tansuo, 2022
Personalized learning recommendation is a research field of intelligent learning. Its goal is to provide specific learners with effective learning resources on the learning platform, thereby enhancing learning enthusiasm and learning effect. Although the
WU Zhengyang, TANG Yong, LIU Hai
doaj   +1 more source

A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets

Genome Medicine, 2022
Background Medical digital twins are computational disease models for drug discovery and treatment. Unresolved problems include how to organize and prioritize between disease-associated changes in digital twins, on cellulome- and genome-wide scales.
Xinxiu Li, Eun Jung Lee, Sandra Lilja, Joseph Loscalzo, Samuel Schäfer, Martin Smelik, Maria Regina Strobl, Oleg Sysoev, Hui Wang, Huan Zhang, Yelin Zhao, Danuta R. Gawel, Barbara Bohle, Mikael Benson   +13 more
doaj   +1 more source

Data-Driven Personalized Learning Path Planning Based on Cognitive Diagnostic Assessments in MOOCs

Applied Sciences, 2022
Personalized learning paths aim to save learning time and improve learning achievements by providing the most appropriate learning sequence for heterogeneous students.
Bo Jiang, Xinya Li, Shuhao Yang, Yaqi Kong, Wei Cheng, Chuanyan Hao, Qiaomin Lin   +6 more
doaj   +1 more source

AI-Based Personalized E-Learning Systems: Issues, Challenges, and Solutions

IEEE Access, 2022
A personalized e-learning system is effective in imparting enhanced learning to its users. As compared to a conventional e-learning system, which provides similar contents to each learner, a personalized learning system provides specific learning ...
Mir Murtaza, Yamna Ahmed, Jawwad Ahmed Shamsi, Fahad Sherwani, Mariam Usman   +4 more
doaj   +1 more source

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
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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
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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