Publication Date
In 2025 | 0 |
Since 2024 | 6 |
Since 2021 (last 5 years) | 22 |
Since 2016 (last 10 years) | 35 |
Since 2006 (last 20 years) | 39 |
Descriptor
Source
Interactive Learning… | 40 |
Author
Hwang, Gwo-Jen | 4 |
Chen, Chih-Ming | 3 |
Chen, Sherry Y. | 3 |
Chen, Chia-Chen | 2 |
Chen, Mei-Rong Alice | 2 |
Habiba, Ume | 2 |
Hassan, Muhammad Awais | 2 |
Shoaib, Muhammad | 2 |
A. I. Makinde | 1 |
B. A. Ojokoh | 1 |
Bahçekapili, Tugba | 1 |
More ▼ |
Publication Type
Journal Articles | 40 |
Reports - Research | 40 |
Tests/Questionnaires | 6 |
Information Analyses | 1 |
Education Level
Audience
Location
Taiwan | 13 |
China | 6 |
China (Beijing) | 2 |
Taiwan (Taipei) | 2 |
Thailand | 2 |
Belgium | 1 |
China (Shanghai) | 1 |
Japan | 1 |
Malaysia | 1 |
New Zealand | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Group Embedded Figures Test | 3 |
Dynamic Indicators of Basic… | 1 |
Learning Style Inventory | 1 |
Test of English for… | 1 |
What Works Clearinghouse Rating
J. Pablo Rosas Baldazo; Yasmín Á. Ríos-Solís; Romeo Sánchez Nigenda – Interactive Learning Environments, 2024
Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…
Descriptors: Study Habits, Scheduling, Time Management, Computer Software
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
Ning Ma; Yan-Ling Zhang; Chun-Ping Liu; Lei Du – Interactive Learning Environments, 2024
Online asynchronous interaction is considered a core part of online teacher training, which has an important impact on learners' learning experience and learning outcomes. How to provide immediate and effective feedback through technical support based on the learners' interactive content and enhance interactive connection has become a key issue in…
Descriptors: Foreign Countries, Teacher Education, Online Courses, Asynchronous Communication
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
Yousaf, Yousra; Shoaib, Muhammad; Hassan, Muhammad Awais; Habiba, Ume – Interactive Learning Environments, 2023
Learning trend has been shifted from a conventional way to a digital way in the form of E-learning, but it faces a high dropout ratio. Lack of engagement is one of the primary factors reported for this issue as the same type of course content is presented to learners despite their different background, knowledge and learning styles. Different…
Descriptors: Intelligent Tutoring Systems, Cognitive Style, Learner Engagement, Academic Achievement
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
Li, Chun; Mu, Xiaolin; Tan, Yuanyuan; Gu, Chuanhua; Hu, Bi Ying; Fan, Cuiying – Interactive Learning Environments, 2023
Much research on brainstorming has found that the power of a team can stimulate individual creativity, and that this influence is more prominent in computer-mediated online interactions. However, creativity appears to depend on the outcome of combining certain environmental factors with certain kinds of Individual characteristics. Two experiments…
Descriptors: Brainstorming, Cues, Environmental Influences, Creativity
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
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
The Determinants of Impact of Personal Traits on Computational Thinking with Programming Instruction
Yuan-Chen Liu; Tzu-Hua Huang; Chia-Ling Sung – Interactive Learning Environments, 2023
Computational thinking is an important skill in computer science since the 1960s, and it is closely related to problem solving. Almost all research related to computational thinking mentions problem solving. Although some research has been conducted on computational thinking, few studies examined the impact of personal traits on students'…
Descriptors: Personality Traits, Computation, Thinking Skills, Programming
Sun, Fu-Rong; Hu, Hong-Zhen; Wan, Rong-Gen; Fu, Xiao; Wu, Shu-Jing – Interactive Learning Environments, 2022
To determine the impact of cognitive style on change of concept of engagement in the flipped classroom, a sequential analysis from the perspective of Bloom's Taxonomy was conducted to establish if significant differences existed between the learning achievements and engagement of students with different cognitive styles. The participants were…
Descriptors: Learning Analytics, Preservice Teachers, Educational Change, Learner Engagement
Wang, Sufen; Du, Ming; Yu, Rong; Wang, Zhijun; Sun, Jingjing; Wang, Ling – Interactive Learning Environments, 2023
It has been controversial whether the matching of learning styles with teaching environment has improved the teaching effects. This paper constructs matching modes by choosing Sternberg's three learning styles (liberal leaning, internal scope and global level) and adopts curriculum comprehensiveness and instructing modes. The research, based on…
Descriptors: Foreign Countries, Cognitive Style, Cognitive Processes, Information Processing
Lertnattee, Verayuth; Wangwattana, Bunyapa – Interactive Learning Environments, 2021
In the academic year of 2019, the designed personalized learning and assessment was applied to the fourth-year pharmacy students who registered for the Pharmacognosy Laboratory in the Faculty of Pharmacy, Silpakorn University. We allowed all students to do the experiment as they preferred. We created a personalized assessment that allowed the…
Descriptors: Individualized Instruction, Pharmaceutical Education, Laboratory Equipment, Identification
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
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