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What is Kappa Statistic

Chapter 4
Utilizing Educational Data Mining Techniques for Improved Learning: Emerging Research and Opportunities
This measures inter-rater agreement for qualitative attributes.
Published in Chapter:
Predicting the Academic Performance of Students Using Utility-Based Data Mining
Sidath R. Liyanage (University of Kelaniya, Sri Lanka) and K. T. Sanvitha Kasthuriarachchi (University of Kelaniya, Sri Lanka)
Copyright: © 2020 |Pages: 30
DOI: 10.4018/978-1-7998-0010-1.ch004
Abstract
Data mining in education has become an important topic in the sphere of influence of data mining. Mining educational data encompasses developing models, plotting data, and utilizing machine learning algorithms to derive patterns on educational data by attempting to uncover hidden patterns, create information for hidden relationships using educational statistics, and perform many more operations that are unfeasible using traditional computational tools. This research aims to identify the main factors that influence the academic performance of learners in tertiary education system in Sri Lanka. A conceptual framework and an analytical framework on factors affecting the academic performance was constructed with this aim. The analytical framework was then validated with the data collected from technology learners in a tertiary educational institute.
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Chapter 5
Production of Evidence-Based Informed Consent (EBIC) With Meaning Equivalence Reusable Learning Objects (MERLO): An Application on the Clinical Setting
Statistical method frequently used to test interrater reliability between two categorical variables. It accounts for the possibility that raters or survey respondents actually guess on at least some variables due to uncertainty.
Published in Chapter: Production of Evidence-Based Informed Consent (EBIC) With Meaning Equivalence Reusable Learning Objects (MERLO): An Application on the Clinical Setting; From: Pedagogy for Conceptual Thinking and Meaning Equivalence: Emerging Research and Opportunities
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