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De-Chih Lee; Ching-Yi Chang – Education and Information Technologies, 2025
During the digital age, self-directed learning has emerged as an effective teaching strategy in designing class activities within the educational sphere, prompting an investigation into its impact on the effectiveness of instruction in the K-12 context. This article presents a meta-analysis aimed at examining the efficacy of self-directed learning…
Descriptors: Elementary School Students, Secondary School Students, Independent Study, Active Learning
Albert Rof; Andrea Bikfalvi; Pilar Marques – TechTrends: Linking Research and Practice to Improve Learning, 2025
Microlearning is gaining ground in the higher education domain. Despite this trend, there is a lack of evidence of effectiveness when a large number of microlearning units are grouped to form a macrolearning programme. The purpose of this paper is to explore how and why a macrolearning affects students' self-efficacy. The originality of this paper…
Descriptors: Business Education, Teaching Methods, Computer Assisted Instruction, Critical Thinking
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
Sakirulai Olufemi Isiaq; Louise Usher – Journal of Learning Development in Higher Education, 2025
This study explores postgraduate students' perceptions of the effectiveness of collaborative learning within computer-based environments. The research investigates the distinctions between collaborative learning and group work, examining how students' attitudes and behaviours differ, and the subsequent impact on learning outcomes. Findings reveal…
Descriptors: Graduate Students, Masters Programs, Cooperative Learning, Computer Assisted Instruction
Camille Dickson-Deane; Patricia Grant; Dauran McNeil – Distance Learning, 2024
Recognizing that online teaching and learning is placed within an environment where neither the teacher nor the student has complete-control is the first step to actioning capabilities towards a humanized environment. The tool that is typically used in higher education, the learning management system (LMS), has a design that constrains learning…
Descriptors: Learning Management Systems, Empathy, Personal Autonomy, Electronic Learning
Bilal Saad Mayer – Discover Education, 2025
The transformative potential of Digital Informal Learning (DIL) is evident in fostering cross-cultural understanding, with a special focus on Arabic cultural education in this case. Drawing from the case of Learn Cultural Identity (LearnCuID) groups, which are informal online learning communities, the discussion highlights how digital platforms,…
Descriptors: Arabs, Information Technology, Transformative Learning, Self Concept
Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
Yankun He; Kenan Xiao – American Association for Adult and Continuing Education, 2024
ChatGPT is revolutionizing education by offering innovative learning methodologies and expanding accessibility to language learning. Existing studies stated that exposure to language-rich environments can help learners study a new language. ChatGPT can potentially increase language learning outcomes and performances by providing real-time…
Descriptors: Artificial Intelligence, Computer Software, Learning Processes, Second Language Learning
Marioara Pascu – Cogent Education, 2024
This study explored the relationship between students' learning styles and their learning process through Kahoot in developing competencies within a target group of 89 high school students from Technical College "Dimitrie Ghika", Romania. Initially, the students' learning styles were identified using Reid's VAK model. As a second step,…
Descriptors: Cognitive Style, Learning Management Systems, Geography Instruction, Experiential Learning
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Nina Spada – Language Learning & Language Teaching, 2024
This volume presents the second edition of the "Communicative Orientation of Language Teaching (COLT) Observation Scheme." Since the book's original publication, COLT has become well established as a research instrument in L2 teaching and learning. This new edition brings COLT into the 21st century by introducing digital versions of the…
Descriptors: Second Language Learning, Second Language Instruction, Web Based Instruction, Teaching Methods
Bertrand Schneider; Gahyun Sung – Journal of Learning Analytics, 2024
Over the last decade, the prevalence of online learning has dramatically increased. As part of their curriculum, students are expected to spend more and more time watching videos. These videos tend to follow a widespread format: a screen recording of slides with a picture-in-picture (PiP) image of the instructor's face. While this format is…
Descriptors: Visual Aids, Nonverbal Communication, Human Body, Computer Assisted Instruction
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
Fuhai An; Linjin Xi; Jingyi Yu – Education and Information Technologies, 2024
The current study assessed 495 middle school students in China using self-report questionnaires, to examine the multiple mediating effects of intrinsic motivation and learning engagement (vitality, dedication and absorption) in the relations between technology acceptance and students' self-regulated learning. The results indicated that technology…
Descriptors: Learner Engagement, Middle School Students, Metacognition, Learning Motivation
Sara Bagossi; Osama Swidan – International Journal for Technology in Mathematics Education, 2023
Second-order covariation is a form of mathematical reasoning that needs to be characterized both concerning students' cognitive processes and the design of tasks that promote it. This contribution aims to shed light on these two issues by comparing data related to the same learning experiment performed in two different learning environments:…
Descriptors: Cognitive Processes, Learning Processes, Curriculum Design, Computer Assisted Instruction