Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 11 |
Descriptor
Source
Interactive Learning… | 12 |
Author
Aguilar, J. | 1 |
Alpiste Penalba, Francisco | 1 |
Amandi, A. | 1 |
Bateman, Scott | 1 |
Bojan Tomic | 1 |
Buendia, O. | 1 |
Chimalakonda, Sridhar | 1 |
Deek, Fadi P. | 1 |
Duran, E. B. | 1 |
Escarela-Perez, Rafael | 1 |
Fernández, Joaquín | 1 |
More ▼ |
Publication Type
Journal Articles | 12 |
Reports - Research | 7 |
Reports - Descriptive | 3 |
Reports - Evaluative | 2 |
Information Analyses | 1 |
Opinion Papers | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
Elementary Education | 2 |
Adult Education | 1 |
Grade 5 | 1 |
Audience
Location
Canada | 1 |
China (Shanghai) | 1 |
India | 1 |
Netherlands | 1 |
Serbia | 1 |
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Chimalakonda, Sridhar; Nori, Kesav V. – Interactive Learning Environments, 2023
Despite rapid advances, modeling a variety of instructional designs to support variations in teaching and learning during the design of educational technologies is still an open challenge. In this paper, we propose a patterns based approach for the design of educational technologies to address this challenge. This is in contrast with existing…
Descriptors: Educational Technology, Instructional Design, Teaching Methods, Adult Literacy
Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Zheng, Longwei; Gibson, David; Gu, Xiaoqing – Interactive Learning Environments, 2019
This study extends the understanding of the process of teachers' technology adoption by investigating the dynamic nature of the adoption process. We propose a nonhomogeneous hidden Markov model that reveals the dynamics of teachers' adoption over time and examines the impact of internal and external factors, including experiences, interventions,…
Descriptors: Adoption (Ideas), Technology Integration, Electronic Publishing, Textbooks
Duran, E. B.; Amandi, A. – Interactive Learning Environments, 2011
Student models are crucial components in personalised distance learning environments. These models usually include individual characteristics such as the level of knowledge of a given topic, the learning style or the type of personality, the level of participation and so on. However, when the focus is on group activities, these learning…
Descriptors: Cognitive Style, Individual Characteristics, Group Activities, Knowledge Level
Alpiste Penalba, Francisco; Rojas-Rajs, Teresa; Lorente, Pedro; Iglesias, Francisco; Fernández, Joaquín; Monguet, Josep – Interactive Learning Environments, 2013
The Opera eLearning project developed a solution for opera singing distance lessons at the graduate level, using high bandwidth to deliver a quality audio and video experience that has been evaluated by singing teachers, chorus and orchestra directors, singers and other professional musicians. Prior to finding a technological model that suits the…
Descriptors: Opera, Singing, Video Technology, Audio Equipment
Lee, Chwee Beng; Jonassen, David; Teo, Timothy – Interactive Learning Environments, 2011
This study examines the effects of the activity of building systems models for school-based problems on problem solving and on conceptual change in elementary science classes. During a unit on the water cycle in an Asian elementary school, students constructed systems models of the water cycle. We found that representing ill-structured problems as…
Descriptors: Elementary School Science, Water, Problem Solving, Models
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
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
Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; de Arriaga, Fernando; Escarela-Perez, Rafael – Interactive Learning Environments, 2006
Intelligent learning systems (ILSs) have evolved in the last few years basically because of influences received from multi-agent architectures (MAs). Conflict resolution among agents has been a very important problem for multi-agent systems, with specific features in the case of ILSs. The literature shows that ILSs with cognitive or pedagogical…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Conflict Resolution, Cognitive Style
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

Towne, Douglas M.; And Others – Interactive Learning Environments, 1990
Explains the Intelligent Maintenance Training System that allows a nonprogramming subject matter expert to produce an interactive graphical model of a complex device for computer simulation. Previous simulation-based training systems are reviewed; simulation algorithms are described; and the student interface is discussed. (Contains 24…
Descriptors: Algorithms, Artificial Intelligence, Authoring Aids (Programming), Computer Assisted Instruction