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Download full textSwamy, Vinitra; Radmehr, Bahar; Krco, Natasa; Marras, Mirko; Käser, Tanja – International Educational Data Mining Society, 2022
Neural networks are ubiquitous in applied machine learning for education. Their pervasive success in predictive performance comes alongside a severe weakness, the lack of explainability of their decisions, especially relevant in humancentric fields. We implement five state-of-the-art methodologies for explaining black-box machine learning models…
Descriptors: Artificial Intelligence, Academic Achievement, Grade Prediction, MOOCs
Direct linkDespujol, Ignacio; Castañeda, Linda; Marín, Victoria I.; Turró, Carlos – International Journal of Educational Technology in Higher Education, 2022
By the end of 2020, over 16,300 Massive Open Online Courses (MOOCs) from 950 universities worldwide had enrolled over 180 million students. Interest in MOOCs has been matched by significant research on the topic, including a considerable number of reviews. This study uses Machine Learning techniques and human expert supervision to generate a…
Descriptors: MOOCs, Artificial Intelligence, Literature Reviews, Teaching Methods
Gustavo Simas da Silva; Vânia Ribas Ulbricht – International Association for Development of the Information Society, 2023
ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…
Descriptors: Comparative Analysis, Teaching Methods, Computer Software, Artificial Intelligence
Jiazi Li; Heung Kou; Jue Wang; Wei Ren – Education and Information Technologies, 2024
The purpose of this study was to investigate the correlation among the components affecting MOOC ability to learn the Chinese dance majors. MOOC courses are easy to register and access whereas SPOC derived from MOOC allows access to selected students. MOOC implementing AI for teaching improves the quality of courses as AI determines content with…
Descriptors: Electronic Learning, Dance Education, Majors (Students), Teaching Methods
Yumei Zhang – International Journal for Lesson and Learning Studies, 2024
Purpose: The lesson study aims to examine college English teachers' growth in technological pedagogical content knowledge (TPACK) and the improvement of students' learning outcomes in the context of MOOC-based and AI-powered flipped teaching and assessment of EFL writing (MAFTA). Design/methodology/approach: Three college EFL teachers and their…
Descriptors: MOOCs, English (Second Language), Second Language Learning, Second Language Instruction
Berrada, Khalid, Ed.; Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2022
This book presents an overview on ten years of rich experience and innovative development of scientific research around pedagogy, didactics and educative technologies at Cadi Ayyad University. From active learning in traditional teaching to technology enhanced learning, many efforts have been done so far by both researchers and PhD students making…
Descriptors: Foreign Countries, Educational Technology, Universities, Technology Uses in Education
Theo Bastiaens, Editor – Association for the Advancement of Computing in Education, 2024
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. The "EdMedia + Innovate Learning" conference took place in Brussels,…
Descriptors: Educational Technology, Foreign Countries, Elementary Secondary Education, Electronic Learning
