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Formulating Quizzes Questions Using Artificial Intelligent Techniques

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Networking, Intelligent Systems and Security

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 237))

Abstract

Formulating the question is one of the most important things for evidence-based practice, regardless of the discipline in question. Formulating questions, and even answering questions, is a powerful key to our profession, and our practice can be seen through research in information science and by significant developments in evidence-based practice. We should therefore develop a comprehensive classification of the types of frequently asked questions and prioritize initial research. In this paper, we will discuss how to create and make tests questions based on artificial intelligence techniques and algorithms and make a simple comparison between the most recent methods used to make questions, and finally, we will do an analytical study at Cadi Ayyad University Marrakech Morocco by one of the ways based on artificial intelligence (AI) algorithms.

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References

  1. Bala, K., Kumar, M., Hulawale, S., Pandita, S.: Chat-Bot for college management system using A.I. Int. Res. J. Eng. Technol. 2–6 (2017)

    Google Scholar 

  2. http://www.khayma.com/mohgan73/101msdcf/21.htm

  3. Caldwell, D.J., Pate, A.N.: Effects of question formats on student and item performance. Am. J. Pharm. Educ. 77, 1–5 (2013). https://doi.org/10.5688/ajpe77471

    Article  Google Scholar 

  4. Bonham, S.W., Deardorff, D.L., Beichner, R.J.: Comparison of student performance using web and paper-based homework in college-level physics. J. Res. Sci. Teach. 40, 1050–1071 (2003). https://doi.org/10.1002/tea.10120

    Article  Google Scholar 

  5. Jia, J., Chen, Y., Ding, Z., Ruan, M.: Effects of a vocabulary acquisition and assessment system on students’ performance in a blended learning class for English subject. Comput. Educ. 58, 63–76 (2012). https://doi.org/10.1016/j.compedu.2011.08.002

    Article  Google Scholar 

  6. Tobin, K.: The role of wait time in higher cognitive level learning. Rev. Educ. Res. 57, 69–95 (1987). https://doi.org/10.3102/00346543057001069

    Article  Google Scholar 

  7. Mieloo, C., Raat, H., van Oort, F., et al.: Validity and reliability of the strengths and difficulties Questionnaire in 5–6 year olds: differences by gender or by parental education? PLoS One 7 (2012). https://doi.org/10.1371/journal.pone.0036805

  8. Tuwor, T., Sossou, M.A.: Gender discrimination and education in West Africa: strategies for maintaining girls in school. Int. J. Incl. Educ. 12, 363–379 (2008). https://doi.org/10.1080/13603110601183115

    Article  Google Scholar 

  9. El Gourari, A., Raoufi, M., Skouri, M., & Ouatik, F. (2021). The Implementation of deep reinforcement learning in e-Learning and distance learning: Remote practical work. Mobile Information Systems. https://doi.org/10.1155/2021/9959954.

  10. El Gourari, A. Skouri, M., Raoufi, M., & Ouatik, F. (2020) The future of the transition to e-learning and distance learning using artificial intelligence. In: 2020 Sixth International Conference on e-Learning (econf) pp. 279–284. https://doi.org/10.1109/econf51404.2020.9385464.

  11. Wu, S., Zhang, Y.: A comprehensive assessment of sequence-based and template-based methods for protein contact prediction. Bioinformatics 24, 924–931 (2008). https://doi.org/10.1093/bioinformatics/btn069

    Article  Google Scholar 

  12. Douglas, K.M., Mislevy, R.J.: Estimating classification accuracy for complex decision rules based on multiple scores. J. Educ. Behav. Stat. 35, 280–306 (2010). https://doi.org/10.3102/1076998609346969

    Article  Google Scholar 

  13. Agatonovic-Kustrin, S., Beresford, R.: Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. J. Pharm. Biomed. Anal. 22, 717–727 (2000). https://doi.org/10.1016/S0731-7085(99)00272-1

    Article  Google Scholar 

  14. Retrieval, D.: Natural language processing for prolog programmers. Data Knowl. Eng. 12, 246–247 (1994). https://doi.org/10.1016/0169-023x(94)90017-5

    Article  Google Scholar 

  15. Banerjee, I., Ling, Y., Chen, M.C., et al.: Comparative effectiveness of convolutional neural network (CNN) and recurrent neural network (RNN) architectures for radiology text report classification. Artif. Intell. Med. 97, 79–88 (2019). https://doi.org/10.1016/j.artmed.2018.11.004

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Laboratoire de Didactique Et de Pédagogie Universitaire, Centre d’Etudes, d’Evaluation Et de Recherches Pédagogiques, Université Cadi Ayyad Marrakech, Marrakech, Morocco

    Abdelali El Gourari, Mustapha Raoufi & Mohammed Skouri

  2. Laboratory of Materials Energy and Environment, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco

    Mustapha Raoufi

Authors
  1. Abdelali El Gourari
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  2. Mustapha Raoufi
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  3. Mohammed Skouri
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Corresponding author

Correspondence to Abdelali El Gourari .

Editor information

Editors and Affiliations

  1. Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Mohamed Ben Ahmed

  2. Technical University of Iasi, Iași, Romania

    Horia-Nicolai L. Teodorescu

  3. National School of Applied Sciences, Ibn Tofail University, Kénitra, Morocco

    Tomader Mazri

  4. Department of Computer Science, Avinashilingam University, Coimbatore, Tamil Nadu, India

    Parthasarathy Subashini

  5. Department of Computer Sciences, Faculty of Sciences and Techniques of Tangier, Abdelmalek Essaadi University, Tangier, Morocco

    Anouar Abdelhakim Boudhir

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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El Gourari, A., Raoufi, M., Skouri, M. (2022). Formulating Quizzes Questions Using Artificial Intelligent Techniques. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_38

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