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Direct linkGerardo Ibarra-Vazquez; Maria Soledad Ramirez-Montoya; Mariana Buenestado-Fernandez – IEEE Transactions on Learning Technologies, 2024
This article aims to study the performance of machine learning models in forecasting gender based on the students' open education competency perception. Data were collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. The analysis comprises 1) a study of the students' perceptions of knowledge, skills, and…
Descriptors: Gender Differences, Open Education, Cross Cultural Studies, Student Attitudes
Download full textRho, Jihyun; Rau, Martina A.; Van Veen, Barry D. – International Educational Data Mining Society, 2022
Instruction in many STEM domains heavily relies on visual representations, such as graphs, figures, and diagrams. However, students who lack representational competencies do not benefit from these visual representations. Therefore, students must learn not only content knowledge but also representational competencies. Further, as learning…
Descriptors: Learning Processes, Models, Introductory Courses, Engineering Education
Advanced Distributed Learning Initiative, 2019
The Total Learning Architecture (TLA) program sponsored by the Advanced Distributed Learning (ADL) Initiative seeks to develop a set of policy and standards defining the process for developing a "learning ecology," where multiple services and learning opportunities (of various modalities and points of delivery) can be managed in an…
Descriptors: Educational Policy, Ecology, Delivery Systems, Learning Analytics
Chutiporn Anutariya Ed.; Dejian Liu Ed.; Kinshuk Ed.; Ahmed Tlili Ed.; Junfeng Yang Ed.; Maiga Chang Ed. – Lecture Notes in Educational Technology, 2023
This book collects the proceedings of the 7th International Conference on Smart Learning Environments (ICSLE2023), held in Bangkok, Thailand, as a hybrid conference from 31st Aug to 1st Sep 2023. The proceedings focus on the interplay between pedagogy and technology, and their fusion towards the advancement of smart learning for a sustainable…
Descriptors: Educational Technology, Electronic Learning, Sustainability, Student Satisfaction
