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Online evaluation method based on open and short answers

Published:22 March 2021Publication History

ABSTRACT

The purpose of this article is to present a method for assessing a short and open Arabic question during a learning activity. The proposed method is based on a combination of data presentation and a conceptual map of ontologies. The proposed method is based on the following steps: Process the text of the student's response by removing the stop words and sound from the text. Extract information about the student's response and plan in the form of a conceptual table; comparison between the reference and the student's response and assignment of points by semantic proportions; the score is calculated on the basis of the positional similarity of the measurement results.

References

  1. Litherland, K., Carmichael, P., & Martínez-García, A. (2013). Ontology-based e-assessment for accounting: Outcomes of a pilot study and future prospects. Journal of Accounting Education, 31(2), 162--176.Google ScholarGoogle ScholarCross RefCross Ref
  2. Weinerth, K., Koenig, V., Brunner, M., & Martin, R. (2014). Concept maps: A useful and usable tool for computer-based knowledge assessment? A literature review with a focus on usability. Computers & Education, 78, 201--209. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Shamizanjani, M., Naeini, S. M., & Nouri, M. (2014). Knowledge management mechanisms in e-learning environment: A conceptual model. Knowledge Management & E-Learning: An International Journal (KM&EL), 5(4), 468--491.Google ScholarGoogle Scholar
  4. Kardan, A. A., Sani, M. F., & Modaberi, S. (2016). Implicit learner assessment based on semantic relevance of tags. Computers in Human Behavior, 55, 743--749. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Senthil Kumaran, V., & Sankar, A. (2015). Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT). International Journal of Metadata, Semantics and Ontologies, 8(1), 56--64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Senthil Kumaran, V., & Sankar, A. (2012). Expert locator using concept linking. International Journal of Computational Systems Engineering, 1(1), 42--49.Google ScholarGoogle ScholarCross RefCross Ref
  7. Burstein, J., Leacock, C., & Swartz, R. (2001). Automated evaluation of essays and short answers.Google ScholarGoogle Scholar
  8. Martin, J. R., & White, P. R. (2003). The language of evaluation (Vol. 2). Basingstoke: Palgrave Macmillan.Google ScholarGoogle Scholar
  9. Pérez-Marín, D., Pascual-Nieto, I., & Rodríguez, P. (2009). Computer-assisted assessment of free-text answers. The Knowledge Engineering Review, 24(4), 353--374. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Boumiza, D. S., & Khalifa, W. B. (2012, July). Design of an evaluation system in e-learning Arabic language. In Education and e-Learning Innovations (ICEELI), 2012 International Conference on (pp. 1--4). IEEE.Google ScholarGoogle Scholar
  11. Novak, J. D. (2010). Learning, creating, and using knowledge: Concept maps as facilitative tools in schools and corporations. Routledge.Google ScholarGoogle ScholarCross RefCross Ref
  12. Jamil, H. M. (2014, March). Mapping abstract queries to big data web resources for on-the-fly data integration and information retrieval. In Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on (pp. 62--67). IEEE.Google ScholarGoogle ScholarCross RefCross Ref
  13. Khalifa, W. B., Baccari, S., Souilem, D., & Neji, M. (2017, June). Educational Assessment: Pupils' Experience in Primary School (Arabic Grammar in 7th Year in Tunisia). In International Conference on Intelligent Interactive Multimedia Systems and Services (pp. 410--418). Springer, Cham.Google ScholarGoogle Scholar
  14. Griffin, P., & Care, E. (Eds.). (2014). Assessment and teaching of 21st century skills: Methods and approach. Springer.Google ScholarGoogle Scholar
  15. Pucer, P., Trobec, I., & Žvanut, B. (2014). An information communication technology-based approach for the acquisition of critical thinking skills. Nurse education today, 34(6), 964--970.Google ScholarGoogle Scholar
  1. Online evaluation method based on open and short answers

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    • Published in

      cover image ACM Other conferences
      ICIST '20: Proceedings of the 10th International Conference on Information Systems and Technologies
      June 2020
      292 pages
      ISBN:9781450376556
      DOI:10.1145/3447568

      Copyright © 2020 ACM

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      Publication History

      • Published: 22 March 2021

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