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Automatic Free Text Answer Evaluation using Knowledge Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 117 - Number 3 |
| Year of Publication: 2015 |
| Authors: Udit Kumar Chakraborty, Sampa Das |
10.5120/20532-2876
|
Udit Kumar Chakraborty, Sampa Das . Automatic Free Text Answer Evaluation using Knowledge Network. International Journal of Computer Applications. 117, 3 ( May 2015), 5-8. DOI=10.5120/20532-2876
Abstract
The recent developments in the field of Information and Communication Technology (ICT) has resulted in a major paradigm shift in pedagogy and teaching learning. No longer restricted to the four walls of a classroom, ubiquitous learning is the current trend and universities are gearing up for larger intakes. In the wake of such an upsurge in volume, automatic evaluation of student answers is the need of the hour. The limitations of close ended questions notwithstanding, the popularity of such types are on the rise due to implementation ease. This paper presents a technique to evaluate free text answers of students which will augment and popularize the use of open ended questions for evaluation in online learning.
References
- Free-Text assesment in a virtual campus. Dessus, P, Lemaire, B and Vernier, A. 2000. K. Zreik(Ed. )proceedings of third Internatonal Conference on Human System Learning. pp. 61-76.
- The Imminence of grading essays by computer,47. Page, E. ,. 1966. pp. 23-243.
- Computer Analysis of Essays. Burstein, J. , et al. , et al. 1998. NCME Symposium on Automated Scoring.
- An ntroduction to Latent Semantic Analysis. Landauer, T. K. , Foltz, P. W. and Laham, D. 1998. Discourse Processes 25(2&3). pp. 259-284.
- The ntelligent Essay Assessor:Applications to Educational Technology. Foltz, P. W. , Laham, D. and Landauer, T. K. 1991. Interactive Multimedia Educational Journal of Computer Enhanced Learning. On-line journal1(2).
- Tradng Spaces:On the Lore and Limitation of Latent Semantic Analysis. Hoenkamp, E. ,. 2011. Giambattista Amati & Fabio Crestani,(Ed),'ICTIR',Springer(LNCS). pp. 40-51.
- Automated Evaloutionof students' answers using syntactcally enhanced LSA. Kenejya, D. , Kumar, A. and Prasad, S. 2003. Association for Computational Linguastics,Proceeding of the HLT-NAACL 03 Workshop on Building Educational Applications Using Natural Language Processing-Vol. 2. pp. 53-60.
- BLUE:a Method for Auomatic Evaluation of Machine Translation. Papineni, K. , et al. , et al. 2002. Proceedings of the 40th Annual Meeting of Association for Computational Linguistics. pp. 311-318.
- Adaptng the automatic assesment of free-text answers to the students. Perez, D. and Alfonseca, E. Loughborough : s. n. , 2005. Preceeding of 9th International Computer-Assisted Assessment.
- Prospects of automatic assessment of step-by-step solution n algebra. Rein, P. Washington,DC,USA : s. n. , 2009. IEEE Computer Society. pp. 535-537.
- An assessment tool for assembly language programming. Lingling, M. , et al. , et al. 2008. IEEE,Proceeding of International Conference on Computer Science and Software Engineering,5. pp. 882-884.
- Improving Teaching and Learning through Automated Short-Answer Marking. Siddiqi, R. , Harrison, J. and Siddiqi, R. 2010. IEEE Transactions on Learning Technologies,3(3). pp. 237-249.
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