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Transforming Multiple Choice Questions to Effectively Assess Application of Knowledge

Transforming Multiple Choice Questions to Effectively Assess Application of Knowledge

Transforming Multiple Choice Questions to Effectively Assess Application of Knowledge. STReME Series, August 11, 2011 Brenda Roman, MD, Professor of Psychiatry, BSOM Paul Koles, MD, Associate Professor of Pathology and Surgery, BSOM. Journey through Lunch. Power and Purposes of Assessment

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567 views • 46 slides
Characteristics of Chinese Student Learning: Implications for the General Education Program

Characteristics of Chinese Student Learning: Implications for the General Education Program

Characteristics of Chinese Student Learning: Implications for the General Education Program. Hongshia Zhang ??? Institute of Education Nanjing University, China 2014, 5, 21. Chinese Student Learning Characteristics Paradoxes ? the Causes Implications for General Education Program.

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803 views • 43 slides
Welcome to 3rd Grade!

Welcome to 3rd Grade!

Welcome to 3rd Grade!. VISION : Every student and staff member embraces diversity and possesses the skills, knowledge and confidence to positively influence the larger community.

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294 views • 27 slides
Classification Technique for Predicting Learning Behavior of Student in Higher Education

Classification Technique for Predicting Learning Behavior of Student in Higher Education

In education system it is very important to decide learning behavior of students. Today there is huge competition in higher educational institutes. Quality education is essential for facing new educational challenges. Educational Data Mining is useful to classify students according to their knowledge and learning behavior. It helps teachers to implement different teaching methodology as per learning behavior of student. Researcher used Nau00c3u00afve Bayes classification technique on training data set of students. Classification is a supervised learning approach which categorized data into predefined classes. The implementation is carried out using C . Algorithm is implemented on set of multivalued attributes to predict slow learner, average learner and fast learner students. The objective of researcher is to extract hidden knowledge from dataset for prediction of learning behavior of student. Mrs. Varsha. P. Desai "Classification Technique for Predicting Learning Behavior of Student in Higher Education" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | International Conference on Digital Economy and its Impact on Business and Industry , October 2018, URL: https://www.ijtsrd.com/papers/ijtsrd18697.pdf Paper URL: http://www.ijtsrd.com/management/business-economics/18697/classification-technique-for-predicting-learning-behavior-of-student-in-higher-education/mrs-varsha-p-desai

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51 views • 4 slides

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