Article abstract

Journal of Educational Research and Reviews
Research Article | Published August 2021 | Volume 9, Issue 8, pp. 221-229.
 doi: https://doi.org/10.33495/jerr_v9i8.21.135

 

Understanding assuranzce of learning in light of experiments, errors and sampling methods

 

 

 
Randheer Kokku
Email Author

Tel: +91-0553681946.

College of Business Administration, King Saud University, Riyadh, Saudi Arabia.

 

 

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 Citation: Kokku R (2021). Understanding assurance of learning in light of experiments, errors and sampling methods. J. Edu. Res. Rev. 9(8): 221-229. doi: 10.33495/jerr_v9i8.21.135.
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 Abstract 

 

The objective of this paper is to bring a clear understanding of experiments, the effect of errors and sampling methods used in effective learning among students known to be the assurance of learning (AoL). Extant literature was referred to explore the gaps as; experimentation adoption in AoL implementation is very limited and effects of errors are not being identified and reported, making it difficult to generalize assessment results of student learning. A detailed description of AoL process was presented in five steps. Six basic experimental designs were discussed with reference to AoL implementation. Sixteen errors were briefed, and their effect on the dependent variable in AoL experiments was given. For readers' quick bite, results of the study were presented in two summary tables, one enlightens experiments and the effect of errors on them, the other about AoL error categories and outcome of errors. Also, observations of AoL reports of five business schools on seven factors related to AoL implementation were presented. Ended with a conclusion highlighting the use of experiments in AoL, errors which may potentially harm results and sampling methods to use. Statistical experimental designs and error control mechanisms are out of the scope of the present study.

 

Keywords  Assurance of learning   experiments   errors   sampling methods   closing the loop   rubrics  

 learning outcomes   

 

Copyright © 2021 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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