NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Interactive Learning…19
Audience
Laws, Policies, & Programs
Assessments and Surveys
Group Embedded Figures Test1
What Works Clearinghouse Rating
Showing 1 to 15 of 19 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Peer reviewed Peer reviewed
Direct linkDirect link
Jr Emerson Rogério de Oliveira; Adriano Pasqualotti – Interactive Learning Environments, 2024
E-learning is the direct result of the integration between technology and education. The lifelong learning process for older people should consider employing e-learning activities. The objective of this work was to identify the pedagogical processes involved in e-learning activities in learning environments used by elderly people. The literature…
Descriptors: Older Adults, Electronic Learning, Technology Uses in Education, Access to Education
Peer reviewed Peer reviewed
Direct linkDirect link
Bo Jiang; Yuang Wei; Meijun Gu; Chengjiu Yin – Interactive Learning Environments, 2024
The purpose of this study is to explore students' backtracking patterns in using a digital textbook, reveal the relationship between backtracking behaviors and academic performance as well as learning styles. This study was carried out for 2 semesters on 102 university students and they are required to use a digital textbook system called DITeL to…
Descriptors: Student Behavior, Electronic Learning, Electronic Publishing, Textbooks
Peer reviewed Peer reviewed
Direct linkDirect link
Hsu, Ting-Chia; Chen, Wen-Li; Hwang, Gwo-Jen – Interactive Learning Environments, 2023
In this study, a peer assessment-based mobile learning approach was implemented and evaluated in a vocational design certification course. A quasi-experiment was conducted to explore the impact of the proposed approach on the learning achievements and motivations of the students with active and reflective styles. It was found that the students…
Descriptors: Peer Evaluation, Cognitive Style, Electronic Learning, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Vui-Yee Koon – Interactive Learning Environments, 2023
Scientific research on mobile learning and its implications on humanistic education has grown tremendously. Within the context of an overview of its forerunners (i.e. educational technology) and critical characteristics concerning the humanistic perspective in education, bibliometric findings on mobile learning publications in humanistic education…
Descriptors: Journal Articles, Electronic Learning, Humanistic Education, Bibliometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Sarika Sharma; Jatinderkumar R. Saini – Interactive Learning Environments, 2024
During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…
Descriptors: Online Courses, Electronic Learning, Cognitive Ability, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Wan, Haipeng; Yu, Shengquan – Interactive Learning Environments, 2023
Most online learning researchers use resource recommendation and retrieve based on learning performance and learning style to provide accurate learning resources, but it is a closed and passive adaptive way. Learners always do not know the recommendation rationale and just receive the result-oriented recommended resources without having a chance…
Descriptors: Electronic Learning, Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Mapping
Peer reviewed Peer reviewed
Direct linkDirect link
Hassan, Muhammad Awais; Habiba, Ume; Majeed, Fiaz; Shoaib, Muhammad – Interactive Learning Environments, 2021
With the removal of the barriers of time and distance, E-learning platforms have attracted millions of learners, but these platforms are experiencing a significant drop-out ratio. One of the primary reasons for this problem is the lack of motivation among the learners because of the similar learning experience provided to them despite their…
Descriptors: Game Based Learning, Electronic Learning, Cooperative Learning, Integrated Learning Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Chia-Chen; Huang, Po-Hao – Interactive Learning Environments, 2023
In order to explore whether STEAM education in combination with elementary school curriculums can help students' learning performance, this study developed a digital learning system. This digital learning system combined STEAM concepts with elements of gamebased learning. This study developed the curriculum content based on the unit of…
Descriptors: Art Education, STEM Education, Electronic Learning, Handheld Devices
Peer reviewed Peer reviewed
Direct linkDirect link
Ge, Zi-Gang – Interactive Learning Environments, 2021
The present study aims to explore the impact of mismatch between learners' media preference and media assigned to them on their learning performance. The participants were 214 adult Chinese e-learners enrolled for an English course, and were assigned to 6 groups based on their media preferences and the media assigned to them. A 2 × 3…
Descriptors: Educational Media, Multimedia Materials, Learning Modalities, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Zhong; Yao, Xiajing; You, Jiaxin; Du, Wenli; Luo, Liming – Interactive Learning Environments, 2018
This study aimed to explore the features of mobile learning behaviors among Chinese elementary school students, and relationships between mobile learning behaviors and personal characteristics in mobile learning environment. The current study designed and developed a game-based educational mobile environment and conducted an experimental research.…
Descriptors: Foreign Countries, Elementary School Students, Electronic Learning, Student Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Yong-Teng; Chen, Chih-Ming – Interactive Learning Environments, 2019
Online video-based learning has been increasingly used in educational settings. However, students usually do not have enough cognitive capacity and metacognition skills to diagnose and record their attention status during learning tasks by themselves. This study thus presents an attention-based video lecture review mechanism (AVLRM) that can…
Descriptors: Foreign Countries, Elementary School Students, Grade 3, Attention
Peer reviewed Peer reviewed
Direct linkDirect link
Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Chin, Kai-Yi; Lee, Ko-Fong; Chen, Yen-Lin – Interactive Learning Environments, 2018
This paper proposes a novel interactive ubiquitous learning system (IULS) for authentically teaching a cultural heritage course and imparting relevant concepts to students. Experimental results demonstrated that learning performance was significantly improved after students used the IULS. This study also demonstrated that students using the IULS…
Descriptors: Heritage Education, Cultural Background, Electronic Learning, Educational Technology
Previous Page | Next Page »
Pages: 1  |  2