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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
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
Camilleri, Mark Anthony; Camilleri, Adriana Caterina – Technology, Knowledge and Learning, 2023
This contribution investigates higher education students' perceptions about mobile learning (m-learning) applications, as well as the effects of social influences and of appropriate facilitating conditions, on their intentions to continue using them. A structured survey questionnaire integrated valid measures from the Technology Acceptance Model…
Descriptors: College Students, Electronic Learning, Student Attitudes, Computer Software
Patrick Whitehead – Journal of Educators Online, 2023
In this article, I blend a review of existing research, results from an original qualitative study, and a decade of personal experience in order to examine the facilitation of significant learning experiences in asynchronous online courses. Research has repeatedly demonstrated that students who enroll in online courses do so for reasons of…
Descriptors: Online Courses, Asynchronous Communication, Computer Mediated Communication, Learning Management Systems
Ankora, Carlos; Bolatimi, Stephen Oladagba; Bensah, Lily; Mahama, Francois; Kuadey, Noble Arden; Adu, Adolph Sedem Yaw; Adjei, Laurene – Journal of Computer Assisted Learning, 2023
Background: The degree to which Computer Science (CS) and Information Communication Technology (ICT) students are motivated to learn greatly impacts their study habits, academic achievement in school and ultimately their job prospects. In recent times, skills in programming languages have become vital in searching for employment. Objective: This…
Descriptors: College Students, Student Motivation, Course Selection (Students), Programming Languages
Dong, Dapeng; Butler, Robert; Herbert, John – Journal of Further and Higher Education, 2022
While incorporating project-based exercise is a common practice in software engineering education, few studies have been conducted in investigating how real-world project development influences university students' proactive learning and knowledge transformation. This study aims to evaluate the effectiveness of developing real-world projects with…
Descriptors: Computer Software, Computer Science Education, Student Projects, College Students
Shao-Chen Chang; Charoenchai Wongwatkit – Education and Information Technologies, 2024
As computational thinking becomes increasingly essential, the challenge of designing effective teaching approaches to foster students' abilities in this area persists, especially for higher order thinking skills. This study addresses this challenge by proposing and implementing a peer assessment-based Scrum project (PA-SP) learning approach in…
Descriptors: Peer Evaluation, Computer Science Education, Programming, Mental Computation
Rodríguez, C. A.; Valderrama, Steven; Vargas, David; Eliseo, Maria Amelia; Fracchia, Claudia Carina; Roa, Katherine – Journal of Educators Online, 2023
The different commercial and open-source LMSs do not support pre-built activities for students in Augmented Reality (AR). To solve this challenge, this work combines AR technology and the Moodle platform to enhance the capabilities to motivate students during the learning process. For this, we developed and configured an AR app to receive and…
Descriptors: Case Studies, Learning Management Systems, Computer Simulation, Student Motivation
Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Chenggui Duan – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to examine the factors influencing university students' adoption of open-source software (OSS) within the context of open educational practices (OEP) by applying an extended Unified Theory of Acceptance and Use of Technology (UTAUT 2) model. Design/methodology/approach: The research employs a quantitative approach,…
Descriptors: Open Education, Open Source Technology, Computer Software, Influences
Yizhuo Zhou; Xuande Wu; Kunyang Qu – Language Teaching Research Quarterly, 2024
Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Wang, Xuebin; Lu, Aitao; Lin, Tao; Liu, Siyi; Song, Tianhua; Huang, Xin; Jiang, Lilan – Education and Information Technologies, 2022
Mobile language learning has attracted much attention in recent years. Previous research has demonstrated a relationship between perceived usefulness and continuance intention to use technology. This study used a cross-section design to further investigate the possible association between perceived usefulness and continuance intention in the…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), College Students
Broadbent, Jaclyn; Panadero, Ernesto; Fuller-Tyszkiewicz, Matthew – Educational Technology Research and Development, 2020
Self-regulated learning (SRL) is associated with increased academic achievement and improved learning outcomes for students. Thus, it is import to find ways to improve SRL, such as through training. Face-to-face training, discipline-dependent training, and paper-and-pencil diaries are limited in the number of students they can reach. The current…
Descriptors: Electronic Learning, Handheld Devices, Computer Software, Diaries