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Showing 1 to 15 of 164 results Save | Export
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Ayça Fidan; Yasemin Koçak Usluel – Education and Information Technologies, 2024
It is pointed out that one of the main problems of online learning environments is determining whether students engage or not. As engagement is a complex and multifaceted concept, researchers have stated that engagement is effected by many factors (environmental conditions and learner characteristics) and changes according to the context. Among…
Descriptors: Online Courses, Electronic Learning, Metacognition, Emotional Response
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Chunbao Huang; Tao Wang; Yun Li – Education and Information Technologies, 2024
While the positive role of engagement in students' learning achievements has been well documented, limited studies have examined whether or how learner engagement would vary with their achievements over time, especially within an unstructured digital learning context. This paper using a purposive sampling method reported an exploratory study on…
Descriptors: Foreign Countries, English (Second Language), Handheld Devices, Telecommunications
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Lixuan Sun; Adelina Asmawi; Hui Dong; Xiaotian Zhang – Education and Information Technologies, 2024
Amidst the challenges posed by the Covid-19 pandemic, this study investigates the impact of Problem-based Language Learning (PBLL) using DingTalk on enhancing Business English Writing skills among Chinese undergraduates. Employing a mixed-method approach, the research involved two phases. In the quantitative phase, a twelve-week quasi-experimental…
Descriptors: Undergraduate Students, Business English, English for Special Purposes, Second Language Learning
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Danial Hooshyar – Education and Information Technologies, 2024
Neural and symbolic architectures are key techniques in AI for learner modelling, enhancing adaptive educational services. Symbolic models offer explanation and reasoning for decisions but require significant human effort. On the other hand, neural architectures demand less human input and yield better predictions, yet lack interpretability. Given…
Descriptors: Artificial Intelligence, Modeling (Psychology), Learner Engagement, Achievement
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Yilian Teng; Xia Wang – Education and Information Technologies, 2024
A total of 169 Chinese college students were divided into high proficiency and low proficiency learners according to a College English Test, and watched one of three short fully captioned English videos, thus producing six groups: (1) High proficiency + L2 (n = 25), (2) High proficiency + L1 + L2 (n = 24), (3) High proficiency + L1 (n = 33), (4)…
Descriptors: Captions, English (Second Language), Second Language Instruction, Second Language Learning
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Jiawei Huang; Ding Zhou – Education and Information Technologies, 2024
Technological advancements have ushered in a new era of global educational development. Artificial Intelligence (AI) holds the potential to enhance teaching effectiveness and foster educational innovation. By utilizing student posture as a proxy, computer vision technology can accurately gauge levels of student engagement. While previous efforts…
Descriptors: Human Posture, Artificial Intelligence, Educational Technology, Learner Engagement
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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
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Ying Hu; Gwo-Jen Hwang – Education and Information Technologies, 2024
This study explored the effects of a self-adapted mobile concept mapping-based problem-posing (CMPP) approach applied in a virtual museum context. To investigate the effectiveness of the proposed approach, a quasi-experimental design was applied to compare the critical thinking tendency, meta-cognition tendency, problem-solving tendency,…
Descriptors: Thinking Skills, Concept Mapping, Problem Solving, Museums
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Mairead Seymour – Education and Information Technologies, 2024
This paper documents the process and outcomes of redesigning an online research methods module for taught postgraduate students using Universal Design for Learning (UDL). It also explores the effectiveness of UDL-informed design and practice to support the development of social, cognitive and teacher presence as defined under the Community of…
Descriptors: Graduate Students, Courses, Research Methodology, Instructional Design
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Eda Bakir-Yalçin; Yasemin Koçak Usluel – Education and Information Technologies, 2024
Student engagement is a multidimensional construct, indicates actual learning experiences and is affected by emotions. Negative and positive achievement emotions play an important role in engagement. In the light of Control-Value Theory and the Extended Process Model of Emotion Regulation, a model was developed and tested to investigate the…
Descriptors: Electronic Learning, Learner Engagement, Academic Achievement, Psychological Patterns
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Tugce Özbek; Christina Wekerle; Ingo Kollar – Education and Information Technologies, 2024
Pre-service teachers' often suboptimal use of technology in teaching can be explained by low levels of technology acceptance. The present study aims to investigate how technology acceptance can be promoted. Based on the Technology Acceptance Model by Davis (1986), we hypothesized that encouraging pre-service teachers to constructively engage with…
Descriptors: Preservice Teachers, Student Attitudes, Computer Attitudes, Technology Uses in Education
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Ayman Alarabiat; Omar Hujran; Dimah Al-Fraihat; Ali Aljaafreh – Education and Information Technologies, 2024
Previous Online Learning (OL) studies have provided significant insights into why students would adopt or use OL but far less attention has been directed towards understanding why they would reject or resist continuing to use OL. The capability of OL to simulate the learning process to be equivalent to classroom learning remains an unresolved…
Descriptors: Learner Engagement, Resistance (Psychology), Electronic Learning, Influences
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Zhihui Zhang; Jenifer Crawford – Education and Information Technologies, 2024
Over the past few years, the world's attention has been focused on gaming systems and their application in education through gamification, incorporating game features into learning tools. Against this backdrop, this study aims to investigate the motivation of EFL learners in a Gamified Formative Assessment (GFA). Theoretical insights from…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Gamification
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Sarah Prestridge; Katherine Main; Mirjam Schmid – Education and Information Technologies, 2024
This paper examines the invisible barrier that can challenge teachers when teaching online, called the fourth wall. Using a presence framework derived from the literature, we explored how experienced teachers manage the absence of visual cues and identify the pedagogical practices they adopted as a response. Data from semi-structured interviews…
Descriptors: Electronic Learning, Visual Aids, Visual Literacy, Cues
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Xue Yang – Education and Information Technologies, 2024
Mobile devices have increased exponentially in the past decades and the rapid development of digital technology has provided rich soil for the growth of mobile learning (m-learning), which is a more convenient means of learning because of no limitations of space and time. Applying the stimulus-organism-response (S-O-R) framework, this study…
Descriptors: Electronic Learning, Learning Processes, Stimuli, Attention Span
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