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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The model application results show the high efficiency of suggested set of criteria.
📌 3 Key Takeaways
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Objective & Hypothesis:Is offered the set of criteria for assessing efficiency of the process forming the answers to multiple-choice test items.
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Key Findings & Data:To increase accuracy of computer-assisted testing results, it is suggested to assess dynamics of the process of forming the final answer using the following factors: loss of time factor and correct choice factor.
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Conclusion & Impact:The model application results show the high efficiency of suggested set of criteria.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:E-Learning · Distance Learning · Web-Based E-Learning System
Abstract
Is offered the set of criteria for assessing efficiency of the process forming the answers to multiple-choice test items. To increase accuracy of computer-assisted testing results, it is suggested to assess dynamics of the process of forming the final answer using the following factors: loss of time factor and correct choice factor. The model application results show the high efficiency of suggested set of criteria.
Keywords
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Cite This Article
RYBANOV, A. A. (2013). Set Of Criteria For Efficiency Of The Process Forming The Answers To Multiple-Choice Test Items. Turkish Online Journal of Distance Education, Cilt: 14 - Sayı: 1, 75–84. https://ajindex.com/articles/140204