E-Learning Assessment Application Based on Bloom Taxonomy

By Masura Rahmat and Madihah Mohd Saudi.

Published by The Learner Collection

Format Price
Article: Print $US10.00
Article: Electronic $US5.00

A completed development of a prototype of an e-Learning assessment application based on Bloom Taxonomy specifically for Physics Form 4 student is discussed in this paper. This prototype focus on how self-assessments are done with respect to the different abilities and performances of participating students and the level of questions based on Bloom Taxonomy. Besides that, this prototype also provides the evaluation on each student performance through the exercises and tests based on the student’s level which is determined by the assessment system through a pre-test taken at an early stage. Therefore, students were given questions that are of better fit according to their level of understandings before proceeding to the next level. The concept of critical and creative thinking is also captured through the generation of questions by teachers to ensure the success of the assessment process.
This prototype is developed using the object-oriented methodology, which is Rational Unified Process method, Active Server Pages (ASP)programming, VBScript and JavaScript along with macromedia software. Hopefully, the educators and the students can benefit from the assessment application produced in this project to increase their learning performance at the expected level.

Keywords: Self Assesment, Bloom Taxonomy, e-Learning

The International Journal of Learning, Volume 14, Issue 9, pp.1-12. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.084MB).

Masura Rahmat

Teacher, National University of Malaysia, Bangi, Selangor, Malaysia

Masura Rahmat is a teacher in Information Technology at National University of Malaysia, Bangi, Selangor. She has taught and involved with a few subjects viz object-oriented programming (JAVA), C, Data Structure (C++), E-commerce and multimedia. Masura Rahmat earned her Bachelor’s Degree in Computer Science and Master’s Degree in Information Technology from Universiti Teknologi Malaysia. Masura also very interested with the research on assessment method in e-Learning and hope to share and expand knowledge among researchers and educators.

Madihah Mohd Saudi

Lecturer, Faculty Science and Technology, Islamic Science University of Malaysia (USIM), Nilai, Negeri Sembilan, Malaysia

Madihah Mohd Saudi is a lecturer at Faculty Science and Technology of Islamic Science University of Malaysia (USIM), Malaysia. Prior to that, Madihah Mohd Saudi was the virus analyst for NISER for almost 6 years. Madihah earned her Bachelor’s Degree in Computer Science from Universiti Kebangsaan Malaysia (UKM)and her Master’s Degree in Software Engineering from Universiti Malaya (UM). Her mission for USIM and for herself is to be one of the best security academicians in the world.

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