Research Article

Evaluation of Students Performance based on Formative Assessment using Data Mining

by  Mohak Hasmukh Gogri, Shahla Ashraf Shaikh, Vibha Venugopal Iyengar
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Issue 2
Published: April 2013
Authors: Mohak Hasmukh Gogri, Shahla Ashraf Shaikh, Vibha Venugopal Iyengar
10.5120/11367-6623
PDF

Mohak Hasmukh Gogri, Shahla Ashraf Shaikh, Vibha Venugopal Iyengar . Evaluation of Students Performance based on Formative Assessment using Data Mining. International Journal of Computer Applications. 67, 2 (April 2013), 18-21. DOI=10.5120/11367-6623 

                        @article{ 10.5120/11367-6623,
                        author  = { Mohak Hasmukh Gogri,Shahla Ashraf Shaikh,Vibha Venugopal Iyengar },
                        title   = { Evaluation of Students Performance based on Formative Assessment using Data Mining },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 67 },
                        number  = { 2 },
                        pages   = { 18-21 },
                        doi     = { 10.5120/11367-6623 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Mohak Hasmukh Gogri
                        %A Shahla Ashraf Shaikh
                        %A Vibha Venugopal Iyengar
                        %T Evaluation of Students Performance based on Formative Assessment using Data Mining%T 
                        %J International Journal of Computer Applications
                        %V 67
                        %N 2
                        %P 18-21
                        %R 10.5120/11367-6623
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a system for performance assessment of students and explores how formative and summative assessment can be used to assess the performance. Proposed system focuses on formative assessment during the learning process. Computer based interactive Multiple choice question exam is proposed for formative assessment and the data generated is used for data mining. Paper discusses about the importance of detailed and instant feedback in learning process and the reduced workload on instructor in the proposed system.

References
  • Yuan Zhenming, Zhang Liang, Zhan Guohua- "A novel web-based online examination system for computer science education"
  • Edwina Higgins and Laura Tatham, Manchester Metropolitan University- "Assessing by multiple choice question(MCQ) tests"-http:// www. ukcle. ac. uk/resources /assessment-and-feedback/mcqs
  • 201O 2nd International Conference on Education Technology and Computer (ICETC) –"Improve student learning using online formative assessment system"
  • Michael P. Coughlan -"Some observations on mcq tests"
  • Low Sew Ming - "Reduction of teacher workload in a formative assessment environment through use of online technology"- School of Engineering, Monash University Malaysia
  • Necatibey Faculty of Education Electronic Journal of Science and Mathematics Education Vol. 5, Issue 2, December 2011, pp. 18-41 - "Understanding the impact of formative assessment strategies on first year university students' conceptual understanding of chemical concepts" - Mehmet Aydeniz and Aybuke Pabuccu.
  • Andreas Papasalouros and Konstantinos Kanaris, Konstantinos Kotis - "Automatic generation of multiple choice questions from domain ontologies" - IADIS International Conference e-Learning 2008
  • Lee Dunn from: Morgan, Chris (1999) Southern Cross University-"Selecting methods of assessment"-http://www. brookes. ac. uk/services/ocsld/resources/methods. html
  • A. Salazar, J. Gosalbez, I. Bosch, R. Miralles, L. Vergara, "A case study of knowledge discovery on academic achievement, student desertion and student retention"
  • Emmanuel N. Ogor, "Student Academic Performance Monitoring and Evaluation Using Data Mining Techniques"
  • MAO Keji, YU Mingyuan, CHEN Qingzhan," Discovering the Most Adaptive Students of One Course by Data Mining"
  • S. Anupama Kumar and Dr. Vijayalakshmi M. N. "Implication Of Classification Techniques In Predicting Student's Recital".
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Formative assessment summative assessment instant feedback interactive platform multiple choice question (MCQ) data mining

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