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Obtaining Assessment Tests After Double Filtration

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

Abstract

Tests are widely used in assessment. Regardless their forms or types, the tests that are formed of a fixed number of questions are the most efficient in the case of checking the proportion of understood information. Usually, tests are formed from a number of question set by the assessor, but the database that contains the number of questions (the pool of questions) can contain as many as thousands of questions. From this pool, the assessor wants to select only the ones which correspond to certain needs. This paper presents a modality of filtering the questions, firstly by their subject and, secondly, by their solving time. Practically, the assessor will obtain tests formed from sequences of questions which match best with the subjects defined by the user and the total solving time of the test is in the range of a time defined by the assessor. This implies notions related to optimization and fitness, alongside reliability, favorability, correctness, efficiency and other useful and needful characteristics of an intelligent tutoring system.

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References

  1. Balcau, C.: Combinatorică și Teoria Grafurilor. Publishing of Univ. of Pitesti (2007)

    Google Scholar 

  2. Hwang, G.-J., Lin, B.M.T., Tseng, H.-H., Lin, T.-L.: On the development of a computer-assisted testing system with genetic test-sheet generating approach. IEEE Trans. Syst. Man Cybern. 35(4), 590–594 (2005)

    Article  Google Scholar 

  3. Wang, F.-R., Wang, W.-H., Yang, H.-Q., Pan, Q.-K.: A novel discrete differential evolution algorithm for computer-aided test-sheet composition problems. In: Information Engineering and Computer Science (ICIECS 2009), Wuhan, pp. 1–4 (2009)

    Google Scholar 

  4. Popescu, E.: Adaptation provisioning with respect to learning styles in a web-based educational system: an experimental study. J. Comput. Assist. Learn. 26(4), 243–257 (2010)

    Article  Google Scholar 

  5. Popescu, D.A., Bold, N., Nijloveanu, D.: A method based on genetic algorithms for generating assessment tests used for learning. In: 17th International Conference on Intelligent Text Processing and Computational Linguistics (2016)

    Google Scholar 

  6. Holotescu, C.: A conceptual model for open learning environments. In: International Conference on Virtual Learning (ICVL), pp. 54– 61 (2015)

    Google Scholar 

  7. Nijloveanu, D., Bold,N., PopescuI, A.: Model of evaluation using questions with specified solving time. In: The 12th International Scientific Conference eLearning and Software for Education, Bucharest (2016)

    Google Scholar 

  8. Domşa, O., Bold, N.: Generator of variants of tests using the same questions. In: The 12th International Scientific Conference eLearning and Software for Education, Bucharest (2016)

    Google Scholar 

  9. Popescu, D.A., Bold, N., PopescuI, A.: The generation of tests of knowledge check using genetic algorithms. In: 7th International Workshop on Soft Computing Applications, 7th IEEE SOFA, LNCS Proceedings, Arad, Romania (2016)

    Google Scholar 

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Correspondence to Doru Popescu Anastasiu .

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Anastasiu, D.P., Bold, N., Popescu, I.A. (2017). Obtaining Assessment Tests After Double Filtration. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_50

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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