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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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Ruiqi Deng; Yi Yang; Suqin Shen – Education and Information Technologies, 2025
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through instructional videos. However, research has not directly addressed the crucial question of whether the beneficial effects of interactive questions in instructional videos are attributable to the presence of…
Descriptors: Educational Technology, Technology Uses in Education, Video Technology, Questioning Techniques
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Ibrahim Dahlstrom-Hakki; Elizabeth Rowe; Jodi Asbell-Clarke; Mia Almeda – Computer-Based Learning in Context, 2024
With the prominence of assessments in education, there is an increasing need to create new forms of assessment that more accurately reflect the needs of the entire student population, particularly neurodivergent learners. To address this challenge, this paper explores the potential for using eye tracking data in a game-based learning environment…
Descriptors: College Students, Eye Movements, Physics, Science Instruction
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Xiting Yang – Interactive Learning Environments, 2024
Nowadays, modern technologies provide a variety of opportunities in many fields, including education. In this context, it is crucial to comprehend the possibility of developing new ways of teaching electroacoustic music using such technology tools. For this purpose, the researchers of the present study elaborated and implemented a study program…
Descriptors: Music Education, Higher Education, Teaching Methods, Electronic Learning
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Kim, Hodam; Chae, Younsoo; Kim, Suhye; Im, Chang-Hwan – IEEE Transactions on Learning Technologies, 2023
Owing to the rapid development of information and communication technologies, online or mobile learning content is widely available on the Internet. Unlike traditional face-to-face learning, online learning exhibits a critical limitation: real-time interactions between learners and teachers are generally not feasible in online learning. To…
Descriptors: College Students, Control Groups, Attention, Comprehension
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Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
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HaeJin Lee; Nigel Bosch – International Journal of STEM Education, 2024
Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…
Descriptors: Computer Assisted Instruction, Self Management, Intellectual Disciplines, College Students
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Julia Milner; Sharleen L. O'Reilly – Innovations in Education and Teaching International, 2025
We explored the usage of smartphones in university classrooms across three different countries from the instructor's perspective. Using a qualitative, cross-cultural approach, we interviewed 30 instructors via semi-structured interviews to understand their viewpoints and experience with student smartphone usage in class. Instructors reported…
Descriptors: Teacher Attitudes, Critical Thinking, Telecommunications, Handheld Devices
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Adnan Shehadeh – Anatolian Journal of Education, 2024
This study aimed to investigate students' reflections on using smartphones to enhance vocabulary learning. The sample consisted of 64 college students enrolled in required English as a Foreign Language (EFL) reading course. A twenty-two-item questionnaire was developed to elicit students' reflections on their experiences in terms of three aspects;…
Descriptors: Telecommunications, Handheld Devices, English (Second Language), Second Language Instruction
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Guangxiang Liu; Chaojun Ma; Jie Bao; Zhixin Liu – Computer Assisted Language Learning, 2025
Utilizing a structural equation modeling approach, this article aims to examine the dynamics between Informal Digital Learning of English (IDLE) and Intercultural Competence (ICC). Altogether, 1490 Chinese college students from different types of universities in China answered the self-developed and validated IDLE-ICC questionnaire. The results…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Intercultural Communication
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Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
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Silva, Leonardo; Mendes, António; Gomes, Anabela; Fortes, Gabriel – International Journal of Computer-Supported Collaborative Learning, 2023
The use of computational scaffolding is a crucial strategy to foster students' regulation of learning skills, which is associated with increased learning achievement. However, most interventions treat the regulatory processes as individual actions isolated from a social context. This view contradicts the most recent research that points to the…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Learning Processes, Computation
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Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Within digitally-supported learning environments, learners need to observe themselves so that they can reflect on their strengths and weaknesses and take a step toward autonomous learning. Within the scope of this research, a technology and analytics enhanced assessment environment in which students can assess themselves was implemented and…
Descriptors: Foreign Countries, College Students, Behavior Patterns, Learning Processes
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Amir Reza Rahimi; Zahra Mosalli – Smart Learning Environments, 2025
Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical framework with a pedagogical-oriented…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Technology Uses in Education
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Simin Ren; Paul Seedhouse – Classroom Discourse, 2024
We present "doing language testing" sequences; L2 learners decide for themselves to test themselves or each other explicitly on new linguistic items, outside the official task cycle with no professional present, investing extra time and energy. We examine how and why pairs of learners do this, and its impact on their learning. They use…
Descriptors: Second Language Learning, Second Language Instruction, Language Tests, Computer Software
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