Recommended System for Cognitive Assessment Evaluation Based on Two-Phase Blue-Red Tree of Rule-Space Model: A Case Study of MTA Course

Chen, Yung-Hui; Tseng, Chun-Hsiung; Huang, Ching-Lien; Deng, Lawrence Y.; Lee, Wei-Chun

doi:10.1007/978-981-10-0539-8_13

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…System that suggested the best learning way of learning objects for students to online selflearning, or to Recommended System that gives the premise of self-learning solutions for Suggested Form of Remedial Course [32]. they suggested a recommendation framework focused on an online learning and assessment system with learning success analysis that incorporates both usability and validity analysis and a process for optimizing feedback.…”

Section: Tseng Et Al Proposed a Recommended System That Can Be Utiliz...mentioning

confidence: 99%

A Recommender System for Adaptive Examination Preparation using Pearson Correlation Collaborative Filtering

Hossain,

Tasnim,

Hoque

et al. 2021

Int J Auto AI Mach learn

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Distance learning is any type of far-off instruction where the understudy isn't actually present for the exercise. It is blasting gratitude to the force of the Internet. Distance learning plays a vital role for examination preparation where multiple choice questions can be utilized to evaluate the performance of students. Multiple Choice Question (MCQ) is a type of question used in the examination to evaluate the performance of students accordingly where usually four options are given along with the question, and one has to choose the correct answer. This research includes a simulation model that has been built to keep the learners continue to learn the subjects they might be weak in. We have developed a methodology that may guide a student to update his/her area of weakness by using a recommender system based on Pearson Correlation Collaborative Filtering approach. The paper describes a recommender system that will keep track of a learner's profile and create an adaptive training mechanism using the performance matrix.

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Section: Tseng Et Al Proposed a Recommended System That Can Be Utiliz...mentioning

confidence: 99%

A Recommender System for Adaptive Examination Preparation using Pearson Correlation Collaborative Filtering

Hossain,

Tasnim,

Hoque

et al. 2021

Int J Auto AI Mach learn

View full text Add to dashboard Cite

show abstract

Recommended System for Cognitive Assessment Evaluation Based on Two-Phase Blue-Red Tree of Rule-Space Model: A Case Study of MTA Course

Cited by 1 publication

References 11 publications

A Recommender System for Adaptive Examination Preparation using Pearson Correlation Collaborative Filtering

A Recommender System for Adaptive Examination Preparation using Pearson Correlation Collaborative Filtering

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