Discovering the Micro-Clusters from a group of DHH learners: An approach using machine learning techniques
- Title
- Discovering the Micro-Clusters from a group of DHH learners: An approach using machine learning techniques
- Creator
- Poly A.; Banu P.K.N.
- Description
- The e-learning environment is essentially helpful for improving the autonomous learning skills of the DHH learners. Facing numerous resources online, DHH learners need support to choose the right learning materials. This can be done by recommending suitable learning objects to similar types of learners. Hence, this research attempts to explore the possibilities of forming micro clusters from the group of DHH learners to improve the recommendation. As a result of k-means, three different micro clusters are formed. So, from the initial analysis, it is identified that the formation of micro clusters is possible, and features such as communication and learning ways play an important role in forming the well-defined micro clusters. This will definitely help the teachers in traditional classrooms and recommendation engines in e-learning to explore the micro clusters of learners with same learning patterns and communication preferences to appropriately stream the right pedagogical methods. 2024, IGI Global. All rights reserved.
- Source
- Transforming Education for Personalized Learning, pp. 159-175.
- Date
- 2024-01-01
- Publisher
- IGI Global
- Coverage
- Poly A., Christ University (Deemed), India; Banu P.K.N., Christ University (Deemed), India
- Rights
- Restricted Access
- Relation
- ISBN: 979-836930869-1; 979-836930868-4
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Poly A.; Banu P.K.N., “Discovering the Micro-Clusters from a group of DHH learners: An approach using machine learning techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/17793.