NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Wei; Liu, Haiwang; Wu, Yenchun Jim; Goh, Mark – Education and Information Technologies, 2023
In Massive Open Online Courses (MOOCs), learners can post both text comments and overall ratings regarding the courses. There is growing interest in assessing the consistency of online reviews and the determinants of learner satisfaction. This study analyses the disconfirmation effect between textual review topics and the determinants of learner…
Descriptors: Student Attitudes, MOOCs, Foreign Countries, Course Evaluation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Syafril; Azrul, Azrul – Pegem Journal of Education and Instruction, 2023
Pedagogical competence is a competence that must be possessed by a teacher. Students as prospective teachers have low pedagogical competence. One way to improve the pedagogical quality of prospective teachers is to train HOTs thinking. However, in the field, there are still many obstacles in efforts to increase these abilities, one of the efforts…
Descriptors: Preservice Teachers, Teacher Education Programs, Thinking Skills, Pedagogical Content Knowledge
Peer reviewed Peer reviewed
Direct linkDirect link
Min-Chi Chiu; Gwo-Jen Hwang; Lu-Ho Hsia; Fong-Ming Shyu – Interactive Learning Environments, 2024
In a conventional art course, it is important for a teacher to provide feedback and guidance to individual students based on their learning status. However, it is challenging for teachers to provide immediate feedback to students without any aid. The advancement of artificial intelligence (AI) has provided a possible solution to cope with this…
Descriptors: Art Education, Artificial Intelligence, Teaching Methods, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Gupta, Anika; Garg, Deepak; Kumar, Parteek – IEEE Transactions on Learning Technologies, 2022
With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…
Descriptors: Markov Processes, Online Courses, Learning Management Systems, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Matayoshi, Jeffrey; Uzun, Hasan; Cosyn, Eric – International Educational Data Mining Society, 2022
Knowledge space theory (KST) is a mathematical framework for modeling and assessing student knowledge. While KST has successfully served as the foundation of several learning systems, recent advancements in machine learning provide an opportunity to improve on purely KST-based approaches to assessing student knowledge. As such, in this work we…
Descriptors: Knowledge Level, Mathematical Models, Learning Experience, Comparative Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mirmoghtadaie, Zohresadat; Keshavarz, Mohsen; Mohammadimehr, Mojgan; Rasouli, Davood – International Review of Research in Open and Distributed Learning, 2023
In peer observation of teaching, an experienced colleague in the educational environment of a faculty member observes the educational performance of that faculty member and provides appropriate feedback. The use of peer review as an alternative source of evidence of teaching effectiveness is increasing. However, no research has been done in the…
Descriptors: Learning Management Systems, Academic Achievement, Peer Evaluation, Teacher Evaluation