Affective video recommender systems: A survey

D Wang, X Zhao - Frontiers in Neuroscience, 2022 - frontiersin.org
Traditional video recommendation provides the viewers with customized media content
according to their historical records (eg, ratings, reviews). However, such systems tend to …

An overview of video recommender systems: state-of-the-art and research issues

S Lubos, A Felfernig, M Tautschnig - Frontiers in big Data, 2023 - frontiersin.org
Video platforms have become indispensable components within a diverse range of
applications, serving various purposes in entertainment, e-learning, corporate training …

Aligning the goals of learning analytics with its research scholarship: An open peer commentary approach

R Ferguson, H Khosravi, V Kovanović… - Journal of Learning …, 2023 - oro.open.ac.uk
To promote cross-community dialogue on matters of significance within the field of learning
analytics], we as editors-in-chief of the Journal of Learning Analytics have introduced a …

The relationship between self-regulated student use of a virtual learning environment for algebra and student achievement: An examination of the role of teacher …

WL Leite, H Kuang, Z **g, W **ng, C Cavanaugh… - Computers & …, 2022 - Elsevier
The current study examines both student self-regulated learning (SRL) and teacher
orchestration in a virtual learning environment (VLE), with respect to student achievement …

[HTML][HTML] MOOCs video recommendation using low-rank and sparse matrix factorization with inter-entity relations and intra-entity affinity information

Y Gao - Information Processing & Management, 2024 - Elsevier
Purpose The serious information overload problem of MOOCs videos decreases the
learning efficiency of the students and the utilization rate of the videos. There are two …

Video-Based Learning Recommender Systems: A Systematic Literature Review

H El Aouifi, M El Hajji, Y Es-Saady… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, using videos as a learning resource has received a lot of attention and turned
widely exploited as an effective learning tool. With the rapid spread of instructional videos …

Learning analytics and computerized formative assessments: An application of Dijkstra's shortest path algorithm for personalized test scheduling

O Bulut, J Shin, DC Cormier - Mathematics, 2022 - mdpi.com
The use of computerized formative assessments in K–12 classrooms has yielded valuable
data that can be utilized by learning analytics (LA) systems to produce actionable insights for …

Heterogeneity of treatment effects of a video recommendation system for algebra

WL Leite, H Kuang, Z Shen, N Chakraborty… - Proceedings of the …, 2022 - dl.acm.org
Previous research has shown that providing video recommendations to students in virtual
learning environments implemented at scale positively affects student achievement …

Recommending mathematical tasks based on reinforcement learning and item response theory

M Orsoni, A Pögelt, N Duong-Trung, M Benassi… - … on Intelligent Tutoring …, 2023 - Springer
Recommending challenging and suitable exercises to students in an online learning
environment is important, as it helps to stimulate their engagement and motivation. This …

Personalized online learning, test fairness, and educational measurement: considering differential content exposure prior to a high stakes end of course exam

D Katz, AC Huggins-Manley, W Leite - Applied Measurement in …, 2022 - Taylor & Francis
According to the Standards for Educational and Psychological Testing (2014), one aspect of
test fairness concerns examinees having comparable opportunities to learn prior to taking …