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Showing 1 to 15 of 69 results Save | Export
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Chanaa, Abdessamad; El Faddouli, Nour-eddine – International Journal of Information and Communication Technology Education, 2022
Massive open online courses (MOOCs) have evolved rapidly in recent years due to their open and massive nature. However, MOOCs suffer from a high dropout rate, since learners struggle to stay cognitively and emotionally engaged. Learner feedback is an excellent way to understand learner behaviour and model early decision making. In the presented…
Descriptors: MOOCs, Student Attitudes, Data Analysis, Electronic Learning
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Johnson, Jillian C.; Olney, Andrew M. – International Educational Data Mining Society, 2022
Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…
Descriptors: Data, Data Analysis, Interdisciplinary Approach, Student Motivation
Morris William George – ProQuest LLC, 2024
This study sought to understand factors influencing student satisfaction with online learning technologies in U.S. higher education institutions after the spring semester of 2020 when the COVID-19 pandemic forced all higher education to an online format. Understanding these factors can help universities acknowledge student preferences and improve…
Descriptors: Electronic Learning, Educational Technology, Colleges, Student Attitudes
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Elfeky, Abdellah Ibrahim Mohammed; Elbyaly, Marwa Yasien Helmy – Interactive Learning Environments, 2023
Data analytics technique in education provides unparalleled opportunities in the era of e-learning platforms to support students. In this context, learning management system (LMS) as a platform allows recording the learner's activity recorded in order to explore data unique types coming from the academic context in order to improve the learning…
Descriptors: Data Analysis, Learning Management Systems, Clothing Instruction, Design
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Chih-Hsing Liu; Jeou-Shyan Horng; Sheng-Fang Chou; Tai-Yi Yu; Yung-Chuan Huang; Yen-Ling Ng; Jun-You Lin – Interactive Learning Environments, 2024
The current study provides an integrated comprehensive analysis of mediation-moderation models to understand 567 tourism and hospitality students' viewpoints by exploring multidisciplinary contributions relevant to the big data and new technology application bodies of literature. The results show that self-efficacy was the primary motivation…
Descriptors: Foreign Countries, College Students, Tourism, Hospitality Occupations
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Isaac S. Rosenthal; Molly N. Simon; Laura Trouille; Jarrett E. K. Byrnes – Journal of Geoscience Education, 2024
Hundreds of thousands of undergraduates enroll in general education science courses to fulfill university core requirements. However, many of these lecture-based courses fail to foster high-level data literacy skills. This work details the design, implementation, and analysis of a new climate change-based classroom activity for college students…
Descriptors: Citizen Participation, Climate, Environmental Education, Introductory Courses
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Shelly Ikebuchi – Canadian Journal of Learning and Technology, 2023
As Canadian post-secondary institutions emerge from the pandemic restrictions, they are in a historically unique position to assess how online education has both facilitated and hindered learning, and how the effects might be greater for some. In this study, open-ended comments from the Canadian Digital Learning Research Association 2022 Spring…
Descriptors: Foreign Countries, Postsecondary Education, Data Analysis, Electronic Learning
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Baragash, Reem Sulaiman; Aldowah, Hanan; Umar, Irfan Naufal – Journal of Information Technology Education: Research, 2022
Aim/Purpose: To gain insight into the opinions and reviews of Malaysian university students regarding e-learning systems, thereby improving the quality and services of these systems and resolving any problems, concerns, and issues that may exist within the institution. Background: This exploratory study examines the students' perceptions of…
Descriptors: College Students, Student Attitudes, Electronic Learning, Artificial Intelligence
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Tekin, Murat; Uysal, Ibrahim – International Journal of Curriculum and Instruction, 2023
As a requirement of our era, digital competence and e-learning have become basic competencies. The importance of these concepts has become clearer in medical education, especially with the COVID-19 pandemic. This period also triggered the transformation in education with technology. This study aimed to examine the relationship between medical…
Descriptors: Medical Education, Medical Students, Electronic Learning, Student Attitudes
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Maja Lebenicnik; Andreja Istenic – Cogent Education, 2024
The dataset includes data from 1699 higher education students from two Slovenian universities. Among those participants were also 56 students with special educational needs (SEN). Students were enrolled in all study fields and levels. The study aimed to measure the use of online learning resources (OLRs) among higher education students and…
Descriptors: Data Analysis, Higher Education, Electronic Learning, College Students
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El Aissaoui, Ouafae; El Alami El Madani, Yasser; Oughdir, Lahcen; El Allioui, Youssouf – Education and Information Technologies, 2019
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…
Descriptors: Classification, Cognitive Style, Models, Electronic Learning
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Kalpokaite, Neringa; Radivojevic, Ivana – International Journal of Research & Method in Education, 2020
In today's world of pervasive technology use, online education is rapidly growing. Online learning environments offer a multitude of benefits for both learners and teachers, as there are substantially more accessible and affordable. The present research focuses on teaching the use of qualitative data analysis software (CAQDAS) to researchers.…
Descriptors: Instructional Effectiveness, Data Analysis, Computer Software, Conventional Instruction
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Kristanto, Yosep Dwi; Padmi, Russasmita Sri – Online Submission, 2020
In thematic analysis, themes construction can be performed manually by the researcher or automatically by a computer. Both methods have strengths and weaknesses. This article introduces a strategy that involves the role of both researcher and computer to construct themes from qualitative data in a rapid, transparent, and rigorous manner. The…
Descriptors: Network Analysis, Networks, Electronic Learning, Online Courses
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Alyahya, Dalia – Turkish Online Journal of Educational Technology - TOJET, 2018
Studies have shown the importance of visual metaphor in facilitating learning. Metaphor aids in communicating complex concepts in a clear manner, and enhances the learning experience. This study investigates graduate students' experiences and attitudes toward visual metaphors in an online learning environment. The visual metaphor used in this…
Descriptors: Instructional Design, Qualitative Research, Visualization, Figurative Language
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Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
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