Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Source
Education and Information… | 3 |
Author
Budiharto, Widodo | 1 |
Hai Li | 1 |
Jayashankar, Shailaja | 1 |
Kartowisastro, Iman Herwidiana | 1 |
Prabowo, Harjanto | 1 |
Setiawan, Reina | 1 |
Sridaran, R. | 1 |
Taehyun Kim | 1 |
Wangda Zhu | 1 |
Wanli Xing | 1 |
Yukyeong Song | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Elementary Secondary Education | 1 |
Audience
Location
Indonesia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Wanli Xing; Hai Li; Taehyun Kim; Wangda Zhu; Yukyeong Song – Education and Information Technologies, 2025
Although researchers recognize the importance of discussing support for math learning within online learning communities, there is a lack of relevant network classifying methods and analyses at the group level to understand the behavioral differences between groups with varying levels of activity, including their mathematical literacies. In this…
Descriptors: Computer Mediated Communication, Asynchronous Communication, Group Discussion, Communities of Practice
Finding Model through Latent Semantic Approach to Reveal the Topic of Discussion in Discussion Forum
Setiawan, Reina; Budiharto, Widodo; Kartowisastro, Iman Herwidiana; Prabowo, Harjanto – Education and Information Technologies, 2020
There are lots of information and knowledge can be extracted from a discussion forum. Despite a discussion is opened by submitting a thread as the topic of discussion, however, the discussion may open out to different topics. This paper aims to present a model to find out a topic of discussion through latent semantic approach, named Topics Finding…
Descriptors: Group Discussion, Computer Mediated Communication, Semantics, Identification
Jayashankar, Shailaja; Sridaran, R. – Education and Information Technologies, 2017
Teachers are thrown open to abundance of free text answers which are very daunting to read and evaluate. Automatic assessments of open ended answers have been attempted in the past but none guarantees 100% accuracy. In order to deal with the overload involved in this manual evaluation, a new tool becomes necessary. The unique superlative model…
Descriptors: Word Frequency, Models, Electronic Learning, Student Evaluation