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ERIC Number: EJ1064096
Record Type: Journal
Publication Date: 2014
Pages: 6
Abstractor: As Provided
Reference Count: 8
ISSN: EISSN-1941-3432
Modeling of Students' Profile and Learning Chronicle with Data Cubes
Ola, Ade G.; Bai, Xue; Omojokun, Emmanuel E.
Research in Higher Education Journal, v24 Aug 2014
Over the years, companies have relied on On-Line Analytical Processing (OLAP) to answer complex questions relating to issues in business environments such as identifying profitability, trends, correlations, and patterns. This paper addresses the application of OLAP in education and learning. The objective of the research presented in the paper is to depict learning data with multidimensional data cube model so as to enable tools capable of answering multifarious questions regarding instruction and learning. Educational data abound in various formats and platforms. There are also interoperability standards which enable diverse applications to interact and share data. The challenge is to provide educators and teachers with interactive tools to identify the needs of individual students and to enable personalization of instruction and learning to meet the needs of the learners. Such tools will allow teachers to analyze profiles and performance history of individual students across multiple dimensions, calculate individual students' mastery of the curriculum, and recommend necessary changes to their learning plans. The ultimate goal of the research is to improve student learning by providing the ability to establish the acquired knowledge and skills of individual students through portable learning management cubes, which would maintain the profile and learning chronicle of the learners.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A