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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
Hu, Chih-Chien; Yeh, Hui-Chin; Chen, Nian-Shing – Interactive Learning Environments, 2023
In-service teachers' professional development regarding technology adoption in education is often focused on only one specific technology. To maximize the utilization of technologies, teachers need to be able to leverage different technologies seamlessly. Technological Pedagogical Content Knowledge (TPACK) is one of the most important frameworks…
Descriptors: Foreign Countries, Elementary School Teachers, Technological Literacy, Pedagogical Content Knowledge
Ai-Jou Pan; Yu-Che Huang; Chin-Feng Lai – Interactive Learning Environments, 2024
Engineering education emphasizes experiential learning and laboratory experience, an approach which has faced significant challenges during the COVID-19 pandemic. The inability to conduct hands-on laboratory experiments in engineering courses can significantly impede the student's learning experience, as well as their acquisition and retention of…
Descriptors: Learning Management Systems, Hands on Science, Distance Education, Laboratories
Hong, Jon-Chao; Hwang, Ming-Yueh; Wu, Nien-Chen; Huang, Ying-Luan; Lin, Pei-Hsin; Chen, Yi-Ling – Interactive Learning Environments, 2016
A new approach to moral education using blended learning has been developed. This approach involves 10 scenarios that are designed as a web-based game and serves as a basis for group moral-consequence-based reasoning, which is developed based on a hypothetical-deductive model. The aim of the study was to examine the changes in students' blended…
Descriptors: Ethical Instruction, Moral Development, Educational Games, Blended Learning
McArdle, Gavin; Bertolotto, Michela – Interactive Learning Environments, 2012
Today, the Internet plays a major role in distributing learning material within third level education. Multiple online facilities provide access to educational resources. While early systems relied on webpages, which acted as repositories for learning material, nowadays sophisticated online applications manage and deliver learning resources.…
Descriptors: Foreign Countries, Educational Technology, Electronic Learning, Interaction
Gasevic, Dragan; Jovanovic, Jelena; Devedzic, Vladan – Interactive Learning Environments, 2007
The paper proposes a framework for building ontology-aware learning object (LO) content. Previously ontologies were exclusively employed for enriching LOs' metadata. Although such an approach is useful, as it improves retrieval of relevant LOs from LO repositories, it does not enable one to reuse components of a LO, nor to incorporate an explicit…
Descriptors: Semantics, Instructional Design, Information Retrieval, Metadata
Lim, Wei-Ying; So, Hyo-Jeong; Tan, Seng-Chee – Interactive Learning Environments, 2010
While the growing prevalence of Web 2.0 in education opens up exciting opportunities for universities to explore expansive, new literacies practices, concomitantly, it presents unique challenges. Many universities are changing from a content delivery paradigm of eLearning 1.0 to a learner-focused paradigm of eLearning 2.0. In this article, we…
Descriptors: Models, Internet, Electronic Learning, Technology Uses in Education
Liang, Hai-Ning; Sedig, Kamran – Interactive Learning Environments, 2009
Interactive learning environments (ILEs) are increasingly used to support and enhance instruction and learning experiences. ILEs maintain and display information, allowing learners to interact with this information. One important method of interacting with information is navigation. Often, learners are required to navigate through the information…
Descriptors: Computer Interfaces, Hypermedia, Models, Evaluation Methods
Wang, Qiyun – Interactive Learning Environments, 2009
The constructivist learning environment was designed on three perspectives: pedagogical, social and technological. A group of 24 trainee teachers used the environment and participated in the formative evaluation. Results showed that the trainee teachers liked the design specifications and perceived the learning environment to be useful. The…
Descriptors: Constructivism (Learning), Formative Evaluation, Educational Technology, Internet
The Social Semantic Web in Intelligent Learning Environments: State of the Art and Future Challenges
Jovanovic, Jelena; Gasevic, Dragan; Torniai, Carlo; Bateman, Scott; Hatala, Marek – Interactive Learning Environments, 2009
Today's technology-enhanced learning practices cater to students and teachers who use many different learning tools and environments and are used to a paradigm of interaction derived from open, ubiquitous, and socially oriented services. In this context, a crucial issue for education systems in general, and for Intelligent Learning Environments…
Descriptors: Models, Interaction, Educational Technology, Design Requirements
Chu, Hui-Chun; Hwang, Gwo-Jen; Tsai, Chin-Chung; Chen, Nian-Shing – Interactive Learning Environments, 2009
Although Web 2.0 technologies have been recognized as effective means of conducting group learning activities, a critical and challenging issue of Web 2.0-based learning is the lack of mechanisms for promoting information exchanges and sharing among participating students. To cope with this problem, an intelligent blog system is proposed in this…
Descriptors: Web Sites, Electronic Publishing, Learning Activities, Teaching Methods
Smits, Marieke H. S. B.; Boon, Jo; Sluijsmans, Dominique M. A.; van Gog, Tamara – Interactive Learning Environments, 2008
This study investigated the effectiveness of different types of feedback content (elaborate versus global) and feedback timing (immediate versus delayed) for learning genetics in a web-based learning environment as a function of learners' prior knowledge. It was hypothesized that learning outcomes of students with low prior knowledge would be…
Descriptors: Feedback (Response), Student Attitudes, Computer Assisted Instruction, Prior Learning
Lubliner, David; Widmeyer, George; Deek, Fadi P. – Interactive Learning Environments, 2009
The objective of this study was to determine whether there was a quantifiable improvement in learning outcomes by integrating course materials in a 4-year baccalaureate program, utilizing a knowledge repository with a conceptual map that spans a discipline. Two new models were developed to provide the framework for this knowledge repository. A…
Descriptors: Constructivism (Learning), Concept Mapping, Focus Groups, Information Systems
Villar, Luis M.; Alegre, Olga M. – Interactive Learning Environments, 2008
Online education is used for a variety of purposes in higher education. Two such purposes are improving one's performance over time and understanding one's professional development in the context of online teaching and learning. Relying on data from online staff development courses delivered in five Spanish universities, this article explores…
Descriptors: Online Courses, Quality Control, Faculty Development, College Faculty
Oliver, Ron; Herrington, Jan – Interactive Learning Environments, 2003
A considerable amount of the effort and enthusiasm that goes into the development and implementation of technology-mediated learning environments often fails to create effective settings for learning. Too often the opportunities and advantages of the use of technology in the learning process are poorly exploited. This paper explores ways in which…
Descriptors: Online Courses, Instructional Design, Technology Integration, Computer Uses in Education