A critical study on applicability of sokoban game for building cognitive model of a student for career assessment

  • Authors

    • V. Chandra Prakash
    • J. K. R. Sastry
    • V.Kantha Rao
    • T. Vineetha
    • V. Harika
    • A. Abhishek Reddy
    https://doi.org/10.14419/ijet.v7i1.1.9482

    Received date: February 11, 2018

    Accepted date: February 11, 2018

    Published date: December 21, 2017

  • Sokoban Game, Sokoban Puzzle, Career Assessmen, Cognitive Model, Expert System, Psychological Factors.

  • Abstract

    Career assessment is extremely important for a student to choose the best career in his/her life. A career counsellor may assess a student by considering his/her academic record and the scores obtained in IQ tests, reasoning, quantitative-aptitude, etc. and suggest a suitable career. After studies, when the student gets employment in his/her selected career, at times, the student may find it very difficult to continue in his/her career. A major reason may be that the psychology of the student may not match with the psychology that is expected for the chosen career. Hence, it is highly essential for the counsellors to assess the psychological factors of a student before suggesting a suitable career. Game playing is one method through which psychological factors of a student can be assessed. This paper presents a critical study on applicability of Sokoban game for assessing student’s psychological factors so that an Expert system can build a cognitive model of a student for career assessment.

  • References

    1. Biddle, Robert, James Noble, and Ewan Tempero. "Sokoban: a sys-tem object case study." In Proceedings of the Fortieth International Conference on Tools Pacific: Objects for internet, mobile and em-bedded applications, pp. 103-111. Australian Computer Society, Inc., 2002.
    2. V. Chandra Prakash, J. K. R. Sastry, B. Mohana Priyanka, K. Pavan Kumar, Ch. Deepika, N. Pavan Kalyan Yadav “Assessing the intel-ligence of a student through tic-tac-toe game for career guidance”, IJPAM Volume 117 No.16 2017, 565-572.
    3. Haider Khalaf, Jabbar, and Rafiqul Zaman Khan. "Survey on devel-opment of expert system in the areas of Medical, Education, Auto-mobile and Agriculture." In Computing for Sustainable Global De-velopment (INDIACom), 2015 2nd International Conference on, pp. 776-780. IEEE, 2015.
    4. Demaret Jean-Noel, Van Lishout, François, Gribomont, Pascal, “Hi-erarchical Planning and Learning for Automatic Solving of Sokoban Problems” (2008), Proceedings of BNAIC 2008, the twentieth Bel-gian-Dutch Artificial Intelligence Conference.
    5. Neng-fa Zhou, Agostino Dovier (2011), “A Tabled Prolog Program for Solving Sokoban”, 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2011. https://doi.org/10.1109/ICTAI.2011.145.
    6. Anthony, Tom, Daniel Polani, and Chrystopher L. Nehaniv. "Gen-eral self-motivation and strategy identification: Case studies based on Sokoban and Pac-Man." IEEE Transactions on Computational Intel-ligence and AI in Games, 6(1), (2014): 1-17. https://doi.org/10.1109/TCIAIG.2013.2295372.
    7. Leme, Renato R., André G. Pereira, Marcus Ritt, and Luciana S. Buriol. "Solving Sokoban Optimally with Domain-Dependent Move Pruning." In Intelligent Systems (BRACIS), 2015 Brazilian Confer-ence on, pp. 264-269. IEEE, 2015. https://doi.org/10.1109/BRACIS.2015.47.
    8. Ashlock, Daniel, and Justin Schonfeld. "Evolution for automatic as-sessment of the difficulty of sokoban boards." In Evolutionary Com-putation (CEC), 2010 IEEE Congress on, pp. 1-8. IEEE, 2010. https://doi.org/10.1109/CEC.2010.5586239.
    9. Jarusek, Petr, and Radek Pelánek. "Difficulty rating of sokoban puz-zle." In Proc. of the Fifth Starting AI Researchers’ Symposium (STAIRS 2010), pp. 140-150. 2010.
    10. Luzhnica, Granit, Christoffer Öjeling, Eduardo Veas, and Viktoria Pammer. "Technical Concept and Technology Choices for Imple-menting a Tangible Version of the Sokoban Game." In Mixed and Augmented Reality (ISMAR-Adjunct), 2016 IEEE International Symposium on, pp. 113-114. IEEE, 2016. https://doi.org/10.1109/ISMAR-Adjunct.2016.0053.
    11. Shi, Yen-Ru, and Ju-Ling Shih. "Game-Based Career Guidance Sys-tems Design Concept." In Digital Game and Intelligent Toy En-hanced Learning (DIGITEL), 2012 IEEE Fourth International Con-ference on, pp. 187-191. IEEE, 2012. https://doi.org/10.1109/DIGITEL.2012.53.
    12. Ian Dunwell, Petros Lameras, Sara de Freitas, Panos Petridis, Kam Star, Maurice Hendrix, and Sylvester Arnab. "MeTycoon: A game-based approach to career guidance." In Games and Virtual Worlds for Serious Applications (VS-GAMES), 2013 5th International Con-ference on, pp. 1-6. IEEE, 2013. https://doi.org/10.1109/VS-GAMES.2013.6624237.
    13. Keishing, Varekan, and S. Renukadevi. "A Review of Knowledge Management Based Career Exploration System in Engineering Edu-cation." International Journal of Modern Education and Computer Science, 8(1), (2016): 8. https://doi.org/10.5815/ijmecs.2016.01.02.
    14. Aryani, Farida, Abdullah Sinring, and Muhammad Rais. "Applica-tion of Career Assessment Model to Assist Students in Choosing Department in Senior High School." International Journal of Scienc-es: Basic and Applied Research (IJSBAR) 30, no. 5 (2016): 403-415.
    15. Papadourakis, George M., Eva Foudoulaki, John E. Yannakoudakis, and Marianna Alogdianaki. "An Expert Systems Approach to Career Counselling." new horizons in industry, business and education: 71, 2013.
    16. Bouaiachi, Yousra, Mohamed Khaldi, and Abdellah Azmani. "A Prototype Expert System for Academic Orientation and Student Ma-jor Selection." International Journal of Scientific & Engineering Re-search 5, no. 11 (2014): 25-28.
    17. V. Chandra Prakash, J. K. R. Sastry, V. Kantharao, V. Sriharshini, G. Sriram, and C. H. V. S. Ganesh. “An Expert system to assess memory

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  • How to Cite

    Chandra Prakash, V., Sastry, J. K. R., Rao, V., Vineetha, T., Harika, V., & Abhishek Reddy, A. (2017). A critical study on applicability of sokoban game for building cognitive model of a student for career assessment. International Journal of Engineering and Technology, 7(1.1), 260-264. https://doi.org/10.14419/ijet.v7i1.1.9482