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Deniz Yesi?l; Fatma Bayrak – Open Praxis, 2025
Feedback is a critical component of the learning process and is essential to reinforce the effect of feedback with affective elements. Due to technological developments, providing automated feedback has become easy. Therefore, this study examined the effect of automated elaborated feedback provided with affective feedback on situational intrinsic…
Descriptors: Feedback (Response), Automation, Student Motivation, Self Efficacy
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Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
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Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
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Richard Hannah; Julie Matuszczak; Melissa Briggs – Journal of Educational Technology Systems, 2025
This novel qualitative study explores the transformative potential of Virtual Reality (VR) in augmenting Computer-Based Training (CBT) for energy industry contractors. By immersing participants in four VR simulations, the study delves into the heart of how learners perceive hazardous work environments and emergency procedures in VR. The findings…
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Computer Simulation, Industrial Education
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Marlene Steinbach; Johanna Fleckenstein; Livia Kuklick; Jennifer Meyer – Journal of Computer Assisted Learning, 2025
Background: Providing students with information on their current performance could help them improve by stimulating their reflection, but negative feedback that saliently mirrors task-related failure can harm motivation. In the context of automated scoring based on artificial intelligence, we explored how feedback on written texts might be…
Descriptors: Student Motivation, Academic Achievement, Low Achievement, Feedback (Response)
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Ahmed Hosny Saleh Metwally; Ronghuai Huang; Paula Toledo Palomino; Ahmed Mohamed Fahmy Yousef – Education and Information Technologies, 2024
Gamifying online homework activities and learning assignments is an effective approach to facilitate students' engagement and enjoyment. While incorporating game elements to gamify homework and learning assignments promoted positive psychological and learning outcomes, the mere use of these elements brings several flaws associated with the gameful…
Descriptors: Gamification, Homework, Instructional Effectiveness, Motivation
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Zainal Arifin; Budi Setiawan – Educational Process: International Journal, 2025
Background/purpose: This study examines the evolution of information technology-driven learning models aligned with the policies and programs outlined in the strategic plan of the Universitas Pendidikan Indonesia (UPI) aimed at becoming a leading institution. This includes the advancement of information and communication technology-based learning,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Learner Engagement
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Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
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Seuth Borliboune; Kongmengvang Chuechor; Thonglith Vilaysane; Souliya Keovilaysack – Malaysian Online Journal of Educational Sciences, 2025
This study investigates the influence of computer-based simulations on students' academic achievement and attitudes toward learning Direct Current (DC) circuits in physics. A quasi-experimental design was employed, involving 40 secondary school students divided into an experimental group (20 students) and a control group (20 students). The…
Descriptors: Computer Simulation, Physics, Electronic Equipment, Academic Achievement
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Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
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Zixi Li; Curtis J. Bonk – Computer Assisted Language Learning, 2025
The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…
Descriptors: Computer Software, Independent Study, Second Language Learning, Second Language Instruction
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Najim Oumelaid; Brahim El Boukari; Jalila El Ghordaf – Journal of Education and Learning (EduLearn), 2025
This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…
Descriptors: Foreign Countries, Computer Assisted Instruction, Conventional Instruction, Student Motivation
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Esra Firatli Türker – Journal of Educational Technology and Online Learning, 2024
In this study, the opinions of academics who experienced compulsory distance education due to the COVID-19 pandemic and the February 6 earthquakes were examined regarding the new situations encountered and their experiences. Qualitative methods and phenomenology model were used to conduct the research. Data were collected through a semi-structured…
Descriptors: Foreign Countries, COVID-19, Pandemics, Seismology
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Noemi Mauro; Liliana Ardissono; Federica Cena; Livio Scarpinati; Gianluca Torta – International Journal of Artificial Intelligence in Education, 2024
Field trips enrich learning programs with out-of-school activities that can bring gains in students' academic content knowledge and personal growth. However, they are a source of anxiety for teachers because of the bureaucracy, pedagogy, etc., risks they imply. To address this issue, we propose FieldTripOrganizer, a field trip planner based on the…
Descriptors: Foreign Countries, Field Trips, Computer Assisted Instruction, Educational Planning
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Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
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