IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitdm/v17y2018i04ns0219622018500220.html
   My bibliography  Save this article

FUSE: A Fuzzy-Semantic Framework for Personalizing Learning Recommendations

Author

Listed:
  • Nguyen Dinh Hoa Cuong

    (Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand†Department of Business Information Systems, College of Economics, Hue University, Vietnam)

  • Ngamnij Arch-Int

    (Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Somjit Arch-Int

    (Department of Computer Science, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand)

Abstract

The use of instructional Semantic Web rules to deliver personalized learning recommendations has become an emerging trend in intelligent tutoring systems (ITSs) because it enables experts’ domain knowledge to be easily transferred to machine-readable formats. However, many approaches to ITS design using instructional Semantic Web rules have evaluated learners’ performances without considering the uncertainty of the evaluation process or other factors such as learning behavior and speed of response. In this paper, we present an ITS framework named FUSE, which uses a novel recommendation-making mechanism based on a fuzzy-semantic reasoning process and a multiagent system. In this framework, fuzzy reasoning and semantic reasoning are integrated to form a unified reasoning process and provide personalized learning recommendations adaptively and semantically. A field experiment was conducted at a public university. The results indicated that FUSE enabled significant achievements in both enhancing learning performance and increasing learners’ participation in the learning process.

Suggested Citation

  • Nguyen Dinh Hoa Cuong & Ngamnij Arch-Int & Somjit Arch-Int, 2018. "FUSE: A Fuzzy-Semantic Framework for Personalizing Learning Recommendations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1173-1201, July.
  • Handle: RePEc:wsi:ijitdm:v:17:y:2018:i:04:n:s0219622018500220
    DOI: 10.1142/S0219622018500220
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219622018500220
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219622018500220?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Guangxu Li & Gang Kou & Changsheng Lin & Liang Xu & Yi Liao, 2015. "Multi-attribute decision making with generalized fuzzy numbers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1793-1803, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xunjie Gou & Zeshui Xu & Huchang Liao, 2019. "Hesitant Fuzzy Linguistic Possibility Degree-Based Linear Assignment Method for Multiple Criteria Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 35-63, January.
    2. Jing Wang & Jian-Qiang Wang & Hong-Yu Zhang & Xiao-Hong Chen, 2017. "Distance-Based Multi-Criteria Group Decision-Making Approaches with Multi-Hesitant Fuzzy Linguistic Information," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1069-1099, July.
    3. Gia Sirbiladze & Irina Khutsishvili & Otar Badagadze & Mikheil Kapanadze, 2016. "More Precise Decision-Making Methodology in the Temporalized Body of Evidence. Application in the Information Technology Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1469-1502, November.
    4. Silvia Muzzioli & Luca Gambarelli & Bernard De Baets, 2018. "Indices for Financial Market Volatility Obtained Through Fuzzy Regression," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1659-1691, November.
    5. Gia Sirbiladze, 2016. "New Fuzzy Aggregation Operators Based on the Finite Choquet Integral — Application in the MADM Problem," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 517-551, May.
    6. Yiming Tang & Fuji Ren, 2016. "Variable Differently Implicational Inference for R- and S-Implications," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1235-1264, September.
    7. Taewook Huh, 2020. "Comparative and Relational Trajectory of Economic Growth and Greenhouse Gas Emission: Coupled or Decoupled?," Energies, MDPI, vol. 13(10), pages 1-13, May.
    8. Yongming Song & Jun Hu, 2017. "Vector similarity measures of hesitant fuzzy linguistic term sets and their applications," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.
    9. Gia Sirbiladze & Otar Badagadze, 2017. "Intuitionistic Fuzzy Probabilistic Aggregation Operators Based on the Choquet Integral: Application in Multicriteria Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 245-279, January.
    10. Peide Liu & Xiaoxiao Liu & Guiying Ma & Zhaolong Liang & Changhai Wang & Fawaz E. Alsaadi, 2020. "A Multi-Attribute Group Decision-Making Method Based on Linguistic Intuitionistic Fuzzy Numbers and Dempster–Shafer Evidence Theory," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 499-524, April.
    11. Jie Tang & Qingxian An & Fanyong Meng & Xiaohong Chen, 2017. "A Natural Method for Ranking Objects from Hesitant Fuzzy Preference Relations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1611-1646, November.
    12. Mustafa Batuhan Ayhan, 2018. "A New Decision Making Approach for Supplier Selection: Hesitant Fuzzy Axiomatic Design," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1085-1117, July.
    13. Guodong Yu & Li Zhang & Huiping Sun, 2018. "A Method for Partner Selection of Supply Chain Using Interval-Valued Fuzzy Sets — Fuzzy Choquet Integral and Improved Dempster–Shafer Theory," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(06), pages 1777-1804, November.
    14. Shaher H. Zyoud & Daniela Fuchs-Hanusch, 2019. "Comparison of Several Decision-Making Techniques: A Case of Water Losses Management in Developing Countries," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(05), pages 1551-1578, September.
    15. Chung-Ho Su, 2017. "A Novel Hybrid Learning Achievement Prediction Model: A Case Study in Gamification Education Applications (APPs)," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 515-543, March.
    16. Honghao Zhang & Yong Peng & Guangdong Tian & Danqi Wang & Pengpeng Xie, 2017. "Green material selection for sustainability: A hybrid MCDM approach," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-26, May.
    17. Gia Sirbiladze & Anna Sikharulidze, 2018. "Extensions of Probability Intuitionistic Fuzzy Aggregation Operators in Fuzzy MCDM/MADM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(02), pages 621-655, March.
    18. Taewook Huh & Yunyoung Kim & Jiyoung Hailiey Kim, 2018. "Towards a Green State: A Comparative Study on OECD Countries through Fuzzy-Set Analysis," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    19. O. H. Salman & A. A. Zaidan & B. B. Zaidan & Naserkalid & M. Hashim, 2017. "Novel Methodology for Triage and Prioritizing Using “Big Data” Patients with Chronic Heart Diseases Through Telemedicine Environmental," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1211-1245, September.
    20. Aleksandras Krylovas & Stanislavas Dadelo & Natalja Kosareva & Edmundas Kazimieras Zavadskas, 2017. "Entropy–KEMIRA Approach for MCDM Problem Solution in Human Resources Selection Task," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1183-1209, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitdm:v:17:y:2018:i:04:n:s0219622018500220. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitdm/ijitdm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.