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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
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Christothea Herodotou; Sagun Shrestha; Catherine Comfort; Heshan Andrews; Paul Mulholland; Vaclav Bayer; Claire Maguire; John Lee; Miriam Fernandez – Journal of Learning Analytics, 2025
In this paper, we explore the design of a student-facing dashboard for online and distance learning with a focus on capturing and addressing specific learning needs. A participatory process involving 20 students was employed, which included a screening questionnaire and focus group discussions. The selection of data points to be displayed on the…
Descriptors: Electronic Learning, Distance Education, Student Attitudes, Educational Technology
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Bader Muteb Alsulami; Abdullah Baihan; Ahed Abugabah – Cogent Education, 2024
The COVID-19 pandemic precipitated an abrupt transition to online learning, impacting students with disabilities uniquely. This study examines the experiences of 62 such students in the new educational paradigm, employing a mixed-methods approach. Quantitative data were collected through surveys and questionnaires to assess privacy and security…
Descriptors: Students with Disabilities, Inclusion, Artificial Intelligence, Computer Security
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Nick Hopwood; Tracey-Ann Palmer; Gloria Angela Koh; Mun Yee Lai; Yifei Dong; Sarah Loch; Kun Yu – International Journal of Research & Method in Education, 2025
Student emotions influence assessment task behaviour and performance but are difficult to study empirically. The study combined qualitative data from focus group interviews with 22 students and 4 teachers, with quantitative real-time learning analytics (facial expression, mouse click and keyboard strokes) to examine student emotional engagement in…
Descriptors: Psychological Patterns, Student Evaluation, Learning Analytics, Learner Engagement
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Tal Soffer; Anat Cohen – Australasian Journal of Educational Technology, 2024
The rapid recent use of learning analytics (LA) in higher education, specifically during the COVID-19 pandemic, allows the monitoring of users' behavior while learning. Using LA may promote students' learning outcomes but also intrude into their privacy. This study aimed to explore students' behaviour and perceptions towards privacy and data…
Descriptors: Privacy, Educational Practices, College Students, Student Attitudes
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West, Paige; Paige, Frederick; Lee, Walter; Watts, Natasha; Scales, Glenda – Journal of Civil Engineering Education, 2022
The expansion of online learning in higher education has both contributed to researchers exploring innovative ways to develop learning environments and created challenges in identifying student interactions with course material. Learning analytics is an emerging field that can identify student interactions and help make data-informed course design…
Descriptors: Learning Analytics, Student Attitudes, Electronic Learning, Construction Management
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Hashimoto, Takehiro; Sato, Takeshi – Research-publishing.net, 2022
This study investigated L2 learners' perception changes at each stage of online collaborative writing. Previous studies revealed the familiarity of L2 collaborative learning with Information and Communication Technology (ICT), whereas few described at which stage of the learning process L2 learners' perceptions change. Therefore, this study…
Descriptors: Second Language Learning, Collaborative Writing, Online Courses, Electronic Learning
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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
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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James A. Bernauer; Richard G. Fuller; Alicia M. Cassels – Current Issues in Education, 2024
This article explores the transformation of courses among online, traditional, and hybrid modalities with a special focus on transforming an online course into a traditional classroom format. While there has been much written about transforming courses from traditional to online, especially as a consequence of the COVID-19 pandemic, there has not…
Descriptors: Learning Modalities, Educational Change, Electronic Learning, In Person Learning
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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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Joao Alberto Arantes do Amaral; Izabel Patricia Meister; Valeria Sperduti Lima; Gisele Grinevicius Garbe – Journal of Problem Based Learning in Higher Education, 2023
In this article, we presented our findings regarding an online project-based learning course, delivered to 64 students from the Federal University of Sao Paulo, Brazil, during the COVID-19 pandemic, in the second semester of 2021. The course had the goal of teaching Project Management by means of a competition (the Data Science Olympics). Our goal…
Descriptors: Competition, Active Learning, Student Projects, Data Science
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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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