IJSEA Volume 1 Issue 1

Intelligent Curriculum for Learning Analytics

Sudarshan, Kartik Shrikant Hegde, Laxmi Arun
10.7753/IJSEA0101.1002
keywords : Learning analytics (LA), Intelligent Curriculum, Bloom's Taxonomy, Rasch analysis, SCORM, MOODLE.

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The present education scenario in higher education emphasizes on a group of individuals, traditional assessment technique and an inefficient learning approach. However, these methods demand better accuracy and reliability since they employ a classical approach of learning which do not provide learner specific content and analyses the learner at the end of his course. Hence the validity of such approaches summonses a review. This paper provides an alternative solution to the drawbacks by developing intelligent curriculum as a customized learning content specifically developed to a learner. Intelligent curriculum forms a part of learning analytics where learning analytics is used to collect, analyze and report learner’s data. Intelligent curriculum is developed using educational technological tools like bloom’s taxonomy, rasch analysis, learning model, SCORM (Sharable Content Object Reference Model) and MOODLE (Modular Object-Oriented Dynamic Learning Environment). The developed curriculum containing resources for a student focuses on betterment of performances from previous attempts.
@artical{s112012ijsea01011002,
Title = "Intelligent Curriculum for Learning Analytics ",
Journal ="International Journal of Science and Engineering Applications (IJSEA)",
Volume = "1",
Issue ="1",
Pages ="4 - 7",
Year = "2012",
Authors ="Sudarshan, Kartik Shrikant Hegde, Laxmi Arun "}