Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 9 |
Since 2016 (last 10 years) | 11 |
Since 2006 (last 20 years) | 23 |
Descriptor
Semantics | 23 |
Internet | 11 |
Foreign Countries | 7 |
Teaching Methods | 7 |
Models | 6 |
Social Networks | 5 |
Computer Uses in Education | 4 |
Educational Technology | 4 |
Electronic Learning | 4 |
Learning Processes | 4 |
Metadata | 4 |
More ▼ |
Source
Interactive Learning… | 23 |
Author
Publication Type
Journal Articles | 23 |
Reports - Research | 13 |
Reports - Descriptive | 5 |
Reports - Evaluative | 4 |
Information Analyses | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 4 |
Secondary Education | 4 |
High Schools | 3 |
Adult Education | 1 |
Grade 11 | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bashir, Faiza; Warraich, Nosheen Fatima – Interactive Learning Environments, 2023
The study intends to identify the emerging themes of e-learning through the Semantic Web. To highlight the key challenges and explore the core benefits of this mesmerizing technology was another goal of the study. To get the set goals researchers systematically reviewed the literature in five leading databases, out of which one specialized…
Descriptors: Electronic Learning, Technology Uses in Education, Internet, Semantics
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
Chen, Chih-Ming; Li, Ming-Chaun; Huang, Ya-Ling – Interactive Learning Environments, 2023
By applying two-mode social networks and Chinese word segmentation technologies, a novel visualization tool, the instant semantic analysis and feedback system (ISAFS), is designed in this study to present the semantic networks of co-words and non-co-words used in learners' discussion processes and assist learners in grasping the discussion…
Descriptors: Foreign Countries, High School Students, Semantics, Feedback (Response)
Akbar Bahari; Rui Li – Interactive Learning Environments, 2024
Given the important technology-assisted language learning (TALL)-empowered affordances, a comprehensive understanding of how these TALL tools facilitate learning across different language components, e.g., phonology, morphology, syntax, semantics, and pragmatics, could not only present the panoramic scenery of the subject matter but also inform…
Descriptors: Language Acquisition, Phonology, Morphology (Languages), Syntax
Chi-Tung Chen; Chih-Ming Chen; Hsiao-Ting Tsai – Interactive Learning Environments, 2024
This study utilised the instant semantic analysis and feedback system (ISAFS) to assist learners in the online discussion learning activities of socio-scientific issues (SSIs) and to document their learning process behaviours for behavioural analyses. The aim was to understand the learners' discussion behaviours during the ISAFS assisted learning…
Descriptors: Behavior Patterns, Electronic Learning, Discussion, Instructional Effectiveness
Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2021
Despite their drawback, multiple-choice questions are an enduring feature in instruction because they can be answered more rapidly than open response questions and they are easily scored. However, it can be difficult to generate good incorrect choices (called "distractors"). We designed an algorithm to generate distractors from a…
Descriptors: Semantics, Networks, Multiple Choice Tests, Teaching Methods
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
Kamali Arslantas, Tugba; Yildirim, Soner; Altunay Arslantekin, Banu – Interactive Learning Environments, 2021
The main aim of this study was to design, develop and test the instructional effectiveness of a web-based English vocabulary drill program developed for visually impaired middle school students. In this respect, the study focused on the educational affordances of the program and its contribution on VI students' spelling and semantics knowledge in…
Descriptors: Affordances, Instructional Effectiveness, Web Based Instruction, Assistive Technology
Zablith, Fouad; Fernandez, Miriam; Rowe, Matthew – Interactive Learning Environments, 2015
Linked Data increases the value of an organisation's data over the web by introducing explicit and machine processable links at the data level. We have adopted this new stream of data representation to produce and expose existing data within The Open University (OU) as Linked Data. We present in this paper our approach for producing the data,…
Descriptors: Data, Metadata, Open Universities, Social Networks
Barbagallo, A.; Formica, A. – Interactive Learning Environments, 2017
ELSE (E-Learning for the Semantic ECM) is an ontology-based system which integrates semantic search methodologies and e-learning technologies. It has been developed within a project of the CME (Continuing Medical Education) program--ECM (Educazione Continua nella Medicina) for Italian participants. ELSE allows the creation of e-learning courses…
Descriptors: Semantics, Electronic Learning, Professional Continuing Education, Medical Education
Lozano, Esther; Gracia, Jorge; Corcho, Oscar; Noble, Richard A.; Gómez-Pérez, Asunción – Interactive Learning Environments, 2015
Problem-based learning has been applied over the last three decades to a diverse range of learning environments. In this educational approach, different problems are posed to the learners so that they can develop different solutions while learning about the problem domain. When applied to conceptual modelling, and particularly to Qualitative…
Descriptors: Problem Based Learning, Semantics, Models, Qualitative Research
Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
Garcia-Barriocanal, Elena; Sicilia, Miguel-Angel; Sanchez-Alonso, Salvador – Interactive Learning Environments, 2013
Sustainable or organic agriculture aims at harmonizing the efficient production of food with the preservation of the environmental conditions for continuing production in a sustained way. As such, it embodies a set of environmental values that are currently taught and learnt worldwide in specific courses or as part of broader programs or…
Descriptors: Semantics, Agricultural Education, Sustainability, Models
Lau, Simon Boung-Yew; Lee, Chien-Sing; Singh, Yashwant Prasad – Interactive Learning Environments, 2015
With the proliferation of social Web applications, users can now collaboratively author, share and access hypermedia learning resources, contributing to richer learning experiences outside formal education. These resources may or may not be educational. However, they can be harnessed for educational purposes by adapting and personalizing them to…
Descriptors: Hypermedia, Metadata, Web 2.0 Technologies, Educational Resources
Previous Page | Next Page »
Pages: 1 | 2