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Luka Doric; Nikola Luburic; Jelena Slivka; Simona Prokic; Anica Ðukic – ACM Transactions on Computing Education, 2025
Teamwork is crucial in software engineering. However, recent literature concludes that software engineering graduates have underdeveloped teamwork skills. Instructors wishing to develop teamwork skills are faced with many teamwork models and a lack of empirical studies that examine their utility in higher education. We conducted an exploratory…
Descriptors: Teamwork, Cooperative Learning, Computer Software, Undergraduate Students
Bradley Graeme Welch; Juan Carlos Ponce Campuzano – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of…
Descriptors: Geometry, Computer Software, Computer Assisted Instruction, Undergraduate Students
Serpil Yorganci; Murat Subasi – Education and Information Technologies, 2025
While GeoGebra applets have been extensively investigated in learning environments, few studies have addressed the interactive GeoGebra applets in an e-book-based learning environment. This study aims to compare the effects of the e-book created with interactive GeoGebra applets on students' learning achievement and motivation. The sample of the…
Descriptors: Electronic Books, Educational Technology, Technology Uses in Education, Undergraduate Students
Ashish Gurung; Jionghao Lin; Zhongtian Huang; Conrad Borchers; Ryan S. Baker; Vincent Aleven; Kenneth R. Koedinger – International Educational Data Mining Society, 2025
Prior work has developed a range of automated measures ("detectors") of student self-regulation and engagement from student log data. These measures have been successfully used to make discoveries about student learning. Here, we extend this line of research to an underexplored aspect of self-regulation: students' decisions about when to…
Descriptors: Decision Making, Computer Software, Tutoring, Electronic Learning
Senad Orhani; Kyvete Shatri – Educational Process: International Journal, 2025
Background/purpose: In the modernized society with advanced technology, as education becomes increasingly dependent on information technology, there is a need to prepare the next generation of students with a wide variety of skills and abilities necessary for future scientific careers. Modern educational challenges include the task of engaging…
Descriptors: Computer Games, Technology Uses in Education, Game Based Learning, Student Motivation
Jinhe Zhang – European Journal of Education, 2025
This study explores how well DAW software works for students' 'Academic Singing' training in raising their motivation and academic performance. The practical portion included a case study based on the BandLab DAW system, including its educational analysis. A five-month experiment was conducted with 150 s-year [Harbin Normal University]…
Descriptors: Music Education, Singing, Computer Software, Student Motivation
Xiaoxuan Fang; Davy Tsz Kit Ng; Manwai Yuen – Education and Information Technologies, 2025
To promote computational thinking in mathematics education, Scratch is used to foster students' computational thinking and mathematical understanding. However, students face challenges in block-based programming environments, such as having low motivation, high anxiety, and cognitive loads. This study combined the pedagogical values of Geogebra…
Descriptors: Computer Software, Mental Computation, Elementary School Mathematics, Grade 5
Alessio Castiglione – Research on Education and Media, 2025
The use of social networking sites (SNSs) in teaching is of increasing importance, for it puts into question how what we have, until the digital revolution, understood formal education to be. The earliest social media came about and were developed parallel to generations Z and Alpha. This review analyzed at least 8 articles published between 2019…
Descriptors: Social Media, Social Networks, Teaching Methods, Databases
Jundan Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study analyzed the impact of AI teaching on teaching quality, and revealed the mediating effect of student motivation and teacher expertise in the relationship of AI teaching and teaching quality. Based on the AI-TPACK theory, this study explored the impact of AI teaching on teaching quality and its mediating mechanism using questionnaires…
Descriptors: Educational Quality, Technological Literacy, Pedagogical Content Knowledge, Teacher Effectiveness
Guangrui Fan; Dandan Liu; Rui Zhang; Lihu Pan – International Journal of STEM Education, 2025
Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Programming
Michael Fowler – Journal of Political Science Education, 2025
Wargames and crisis simulations can be useful pedagogical tools when deliberately used. This paper explores the spectrum of pedagogical objectives; what use are wargames for learning? What types of objectives can they explore? How do you align the learning objectives with the right type of game? The paper leverages Bloom's Taxonomy of learning as…
Descriptors: College Students, College Faculty, Educational Games, Computer Games
Jenel T. Cavazos; Keane A. Hauck; Hannah M. Baskin; Catherine M. Bain – Teaching of Psychology, 2025
Background: The emergence of artificial intelligence (AI) in higher education has sparked numerous discussions about its implications. ChatGPT, a prominent AI conversational model, has attracted significant attention for its ability to generate essays and formulate responses. Objective: The current study sought to explore how and why students are…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Software, Cheating
Thomas Trendowski – Strategies: A Journal for Physical and Sport Educators, 2025
Generative artificial intelligence (GAI) is becoming more popular among educators with the recent advancements in tools such as ChatGPT and Dall-E. Although there are still questions around its efficacy, this type of technology can produce data or information based on prompts, which can be adapted for teachers' use. This article explores how this…
Descriptors: Physical Education, Team Sports, Curriculum Design, Physical Education Teachers
Tim T. Favier; Veronique A. J. M. Schutjens – Journal of Geography in Higher Education, 2025
Recent advancements in geospatial technologies enable geography students to explore outdoor phenomena independently, without teacher guidance. Several authors argue that smartphone apps can effectively replace the teacher in excursions, addressing challenges such as teachers' limited availability. However, empirical research comparing the actual…
Descriptors: Geography Instruction, Telecommunications, Handheld Devices, Geographic Information Systems
Xiaoran Xu; Lei Mee Thien – Journal of Applied Research in Higher Education, 2025
Purpose: This study intends to extend the unified theory of acceptance and use of technology (UTAUT) model by integrating perceived enjoyment as an intrinsic motivation so as to investigate factors influencing Chinese undergraduate English as a Foreign Language (EFL) students' intention to use ChatGPT for English learning.…
Descriptors: Undergraduate Students, English (Second Language), Second Language Learning, Computer Software
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