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Marijn Martens; Ralf De Wolf; Lieven De Marez – Education and Information Technologies, 2024
Algorithmic systems such as Learning Analytics (LA) are driving the datafication and algorithmization of education. In this research, we focus on the appropriateness of LA systems from the perspective of parents and students in secondary education. Anchored in the contextual integrity framework (Nissenbaum, "Washington Law Review, 79,"…
Descriptors: Parent Attitudes, Student Attitudes, Learning Analytics, Algorithms
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Shamsi, Esmat; Bozorgian, Hossein – Education and Information Technologies, 2022
Many studies have explored educational and pedagogical affordances of social media, but few studies have investigated their impact on emotional and psychological aspects of language learning specifically Willingness to Communicate (WTC) in second and foreign language learners. In this paper, we have reviewed related research published in the last…
Descriptors: Literature Reviews, Social Media, Second Language Learning, Student Attitudes
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Wook, Muslihah; Ismail, Suhaila; Yusop, Nurhafizah Moziyana Mohd; Ahmad, Siti Rohaidah; Ahmad, Arniyati – Education and Information Technologies, 2019
Previous studies on educational data mining (EDM) acceptance were focused on antecedents that were adopted from various models and theories. However, the ways in which such antecedents became the most important tools for educational improvement have not been researched in detail. This study aims to identify the priority antecedents of EDM…
Descriptors: Data Collection, Data Analysis, Educational Improvement, Undergraduate Students
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David Burlinson; Matthew Mcquaigue; Alec Goncharow; Kalpathi Subramanian; Erik Saule; Jamie Payton; Paula Goolkasian – Education and Information Technologies, 2024
BRIDGES is a software framework for creating engaging assignments for required courses such as data structures and algorithms. It provides students with a simplified API that populates their own data structure implementations with live and real-world data, and provides the ability for students to easily visualize the data structures they create as…
Descriptors: Computer Science Education, Majors (Students), Student Interests, College Faculty
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Göktepe Körpeoglu, Seda; Göktepe Yildiz, Sevda – Education and Information Technologies, 2023
Examining students' attitudes towards STEM (science, technology, engineering, and mathematics) fields starting from middle school level is important in their career choices and future planning. However, there is a need to investigate which variables affect students' attitudes towards STEM. Here, we aimed to estimate middle school students'…
Descriptors: Comparative Analysis, Algorithms, Data Collection, Student Attitudes
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Xu Li; Wee Hoe Tan; Yu Bin; Peng Yang; Qiancheng Yang; Taukim Xu – Education and Information Technologies, 2025
Globally, physical education curricula are progressively integrating intelligent physical education systems, a breakthrough in physical technology. These systems utilise advanced data analytic and sensing technologies, significantly enhancing the interactivity and personalisation of physical activity, thus improving students' athletic performance…
Descriptors: Undergraduate Students, Intelligent Tutoring Systems, Physical Education, Curriculum
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Kumar, Jeya Amantha; Bervell, Brandford; Osman, Sharifah – Education and Information Technologies, 2020
Google Classroom (GC) has provided affordances for blended learning in higher education. Given this, most institutions, including Malaysian higher educational institutions, are adopting this learning management system (LMS) technology for supporting out of classroom pedagogical. Even though quantitative evidence exists to confirm the usefulness of…
Descriptors: Blended Learning, Teaching Methods, Higher Education, Management Systems
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Sant-Geronikolou, Stavroula; Kouis, Dimitris; Koulouris, Alexandros – Education and Information Technologies, 2019
Library and information science experts around the globe are currently exploring ways of capitalizing student workflow data within library walls. Within this realm, the researchers designed and pilot-tested a user-driven lightweight application that envisions library as a crucial contributor of co-curricular data to learner profiles' contextual…
Descriptors: Academic Libraries, Computer Oriented Programs, Handheld Devices, Foreign Countries
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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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Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology
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Kordaki, Maria; Papastergiou, Marina; Psomos, Panagiotis – Education and Information Technologies, 2016
The aim of this work was twofold. First, an empirical study was designed aimed at investigating the perceptions that entry-level non-computing majors--namely Physical Education and Sport Science (PESS) undergraduate students--hold about basic Computer Literacy (CL) issues. The participants were 90 first-year PESS students, and their perceptions…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Instruction, Educational Games