Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 9 |
| Since 2017 (last 10 years) | 11 |
| Since 2007 (last 20 years) | 21 |
Descriptor
Source
| Interactive Learning… | 21 |
Author
| Yu, Shengquan | 2 |
| Ackland, Aileen | 1 |
| Adil Boughida | 1 |
| Aleksandra Labus | 1 |
| Avci, Ümmühan | 1 |
| Browne, Tom | 1 |
| Capretz, Luiz F. | 1 |
| Capuano, Nicola | 1 |
| Capuruco, Renato A. C. | 1 |
| Chang, Shun-Chih | 1 |
| Chen, Chi-Chang | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 21 |
| Reports - Research | 16 |
| Reports - Evaluative | 3 |
| Reports - Descriptive | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 8 |
| Elementary Education | 5 |
| Middle Schools | 4 |
| Postsecondary Education | 4 |
| Adult Education | 3 |
| Grade 5 | 2 |
| Intermediate Grades | 2 |
| Junior High Schools | 2 |
| Secondary Education | 2 |
| Grade 8 | 1 |
Audience
Location
| China | 3 |
| Taiwan | 3 |
| Canada | 1 |
| Hong Kong | 1 |
| Serbia | 1 |
| Turkey | 1 |
| United Kingdom | 1 |
| United Kingdom (Aberdeen) | 1 |
| United Kingdom (Scotland) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Group Embedded Figures Test | 1 |
What Works Clearinghouse Rating
Yeh, Ching-Hsuan; Wang, Yi-Shun; Wang, Yu-Min; Liao, Ting-Jun – Interactive Learning Environments, 2023
Mobile phones are now used ubiquitously in everyday life around the world. However, using mobile devices for learning activities (i.e. m-learning) is not as popular as initially expected. This study explores the factors that affect m-learning apps acceptance among mobile phone users and investigates how personality, readiness, and motivation…
Descriptors: Handheld Devices, Educational Technology, Gamification, Electronic Learning
Yun Tang; Zhengfan Li; Guoyi Wang; Xiangen Hu – Interactive Learning Environments, 2023
To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…
Descriptors: Electronic Learning, Learning Activities, Self Management, Intelligent Tutoring Systems
Lazar Živojinovic; Danijela Stojanovic; Aleksandra Labus; Zorica Bogdanovic; Marijana Despotovic-Zrakic – Interactive Learning Environments, 2024
This research proposes a methodological approach to using the social network Instagram® as a tool for collaborative e-learning activities in higher education. Collaborative e-learning activities are conducted on Instagram® through challenges and quizzes. The main aim of these activities is to encourage students' creativity, motivation for…
Descriptors: Social Media, Cooperative Learning, Social Networks, Learning Activities
Yun-Fang Tu; Gwo-Jen Hwang – Interactive Learning Environments, 2024
The present study employed the draw-a-picture technique and epistemic network analysis (ENA) to reveal university students' viewpoints on ChatGPT-supported learning, as well as the conceptions, roles, and educational objectives of ChatGPT-supported learning among university students with different learning attitudes. The results showed that…
Descriptors: College Students, Student Attitudes, Knowledge Level, Artificial Intelligence
Med Nadjib Kouahla; Adil Boughida; Imed Chebata; Zohra Mehenaoui; Yacine Lafifi – Interactive Learning Environments, 2023
In e-learning environments, several activities are offered to learners, including learning and assessment activities. During these activities, the learner may encounter difficulties, such as blocking situations or lack of motivation. This paper presents a new approach to detect these difficulties based on the learner's emotional states and…
Descriptors: Psychological Patterns, Cognitive Processes, Electronic Learning, Emotional Response
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
Avci, Ümmühan; Ergün, Esin – Interactive Learning Environments, 2022
The purpose of this study was to examine online students' LMS activities and the effect on their engagement, information literacy, and academic performance. The participants of the study were 65 undergraduate students enrolled to an online "Computer Literacy" course. Cluster analysis was performed on the log data gathered from LMS…
Descriptors: Electronic Learning, Distance Education, Integrated Learning Systems, Learning Activities
Davy Tsz Kit Ng – Interactive Learning Environments, 2023
There is a strong need for educators to change the way they conduct aviation education to bring up future professionals in the industry. To cope with the COVID-19 challenge, creative online distance learning approaches become necessary. This article shows how an online lab approach offers social and cognitive support for engineering students to…
Descriptors: Laboratories, Electronic Learning, Aviation Education, Engineering Education
Cultivating Self-Directed Learning Abilities in K-12 Students through Immersive Online Virtual Tours
Rustam Shadiev; Suping Yi; Fahriye Altinay – Interactive Learning Environments, 2024
The present study employed virtual reality technology to develop online learning environments that facilitated student cultural and self-directed learning. Junior high school participants engaged in creating virtual tours, sharing them with peers online, and implementing self-directed learning strategies. A one-group posttest-only design was…
Descriptors: Independent Study, Computer Simulation, Tourism, Technology Uses in Education
Wang, Qi; Ding, Guozhu; Yu, Shengquan – Interactive Learning Environments, 2019
Subject ontology can help implement the structured organization of knowledge for online learners and thus plays an important role in the learning process. However, building ontologies by experts is time-consuming, and the adaptation of such ontologies to different contexts might be a problem. Crowdsourcing, which allows users to build and refine…
Descriptors: Taxonomy, Electronic Learning, Creative Activities, Learning Processes
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
Kopp, Birgitta; Hasenbein, Melanie; Mandl, Heinz – Interactive Learning Environments, 2014
This article analyzes the collaborative problem solving activities and learning outcomes of five groups that worked on two different complex cases in a virtual professional training course. In this asynchronous virtual learning environment, all knowledge management content was delivered virtually and collaboration took place through forums. To…
Descriptors: Case Method (Teaching Technique), Cooperative Learning, Problem Based Learning, Problem Solving
Huang, Chenn-Jung; Chang, Shun-Chih; Chen, Heng-Ming; Tseng, Jhe-Hao; Chien, Sheng-Yuan – Interactive Learning Environments, 2016
Structured argumentation support environments have been built and used in scientific discourse in the literature. However, to the best our knowledge, there is no research work in the literature examining whether student's knowledge has grown during learning activities with asynchronous argumentation. In this work, an intelligent computer-supported…
Descriptors: Learning Activities, Cooperative Learning, Natural Sciences, Science Education
Hwang, Gwo-Jen; Wu, Po-Han; Chen, Chi-Chang; Tu, Nien-Ting – Interactive Learning Environments, 2016
Augmented reality (AR) has been recognized as a potential technology to help students link what they are observing in the real world to their prior knowledge. One of the most challenging issues of AR-based learning is the provision of effective strategy to help students focus on what they need to observe in the field. In this study, a competitive…
Descriptors: Foreign Countries, Simulated Environment, Educational Technology, Computer Games
Rodriguez, Daniel; Sicilia, Miguel Angel; Sanchez-Alonso, Salvador; Lezcano, Leonardo; Garcia-Barriocanal, Elena – Interactive Learning Environments, 2011
The online interaction of learners and tutors in activities with concrete objectives provides a valuable source of data that can be analyzed for different purposes. One of these purposes is the use of the information extracted from that interaction to aid tutors and learners in decision making about either the configuration of further learning…
Descriptors: Electronic Learning, Interaction, Tutors, Social Networks
Previous Page | Next Page »
Pages: 1 | 2
Peer reviewed
Direct link
