Impact of Rubrics, Addie and Gagne Model on the Performance of Students in Programming Subject
1Nilima S. Department of Virtualiaztion, School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 7140-7146 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9973109119/2019©BEIESP| DOI: 10.35940/ijeat.A9973.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Student’s satisfaction is the core of teaching and it is continuous learning process. In order to achieve this author have experimented with rubrics, ADDIE and Gagne model to deliver the topic thread in java subject. Detail rubrics with four criteria and four levels have been designed and performance has been evaluated after delivery of specific topic by using one of the educational models. Paired student’s t-test has been used to evaluate the before the after impact and statistical significance. Results have been retrieved at 99%, 95% and 90% confidence interval. Criteria 1 and Criteria 2 has not retrieved significant results at alpha=0.01 and hence failed to reject the null hypothesis in Gagne and Rubrics model respectively. The entire set hypothesis has rejected the null hypothesis at alpha=0.05 and alpha=0.10.The survey has been conducted for ADDIE and Gagne group at the end of this experimentation. This study has proven that to deliver programming subject steps of ADDIE model is more appropriate.
Keywords: Addie, Gagne, Rubrics, Statistical test