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SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education

Author

Listed:
  • Ninni Singh

    (Department of Computer Science and Engineering, CMR Institute of Technology Kandlakoya, Hyderabad 501401, Telangana, India)

  • Vinit Kumar Gunjan

    (Department of Computer Science and Engineering, CMR Institute of Technology Kandlakoya, Hyderabad 501401, Telangana, India)

  • Amit Kumar Mishra

    (School of Computing, DIT University, Dehradun 248009, Uttarakhand, India)

  • Ram Krishn Mishra

    (Department of Computer Science, BITS Pilani, Dubai Campus, Dubai P.O. Box 345055, United Arab Emirates)

  • Nishad Nawaz

    (Department of Business Management, College of Business Administration, Kingdom University, Riffa 3903, Bahrain)

Abstract

Education is the cornerstone of improving people’s lives and achieving global sustainability. Intelligent systems assist sustainable education with various benefits, including recommending a personalized learning environment to learners. The classroom learning environment facilitates human tutors to interact with every learner and obtain the opportunity to understand the learner’s psychology and then provide learning material (access learner previous knowledge and well-align the learning material as per learner requirement) to them accordingly. Implementing this cognitive intelligence in Intelligent Tutoring System is quite tricky. This research focused on mimicking human tutor cognitive intelligence in the computer-aided system of offering an exclusive curriculum or quality education for sustainable learners. The prime focus of this research article was to evaluate the proposed SeisTutor using Kirkpatrick four-phase evaluation model. The experimental results depict the enhanced learning gained through intelligence incorporated SeisTutor against the intelligence absence, as demonstrated.

Suggested Citation

  • Ninni Singh & Vinit Kumar Gunjan & Amit Kumar Mishra & Ram Krishn Mishra & Nishad Nawaz, 2022. "SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education," Sustainability, MDPI, vol. 14(7), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:4167-:d:784334
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    References listed on IDEAS

    as
    1. Bates, Reid, 2004. "A critical analysis of evaluation practice: the Kirkpatrick model and the principle of beneficence," Evaluation and Program Planning, Elsevier, vol. 27(3), pages 341-347, August.
    2. Ninni Singh & Neelu Jyothi Ahuja, 2019. "Bug Model Based Intelligent Recommender System with Exclusive Curriculum Sequencing for Learner-Centric Tutoring," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 14(4), pages 1-25, October.
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    Cited by:

    1. Valentin Kuleto & Milena P. Ilić & Rocsana Bucea-Manea-Țoniş & David-Florin Ciocodeică & Horia Mihălcescu & Veronica Mindrescu, 2022. "The Attitudes of K–12 Schools’ Teachers in Serbia towards the Potential of Artificial Intelligence," Sustainability, MDPI, vol. 14(14), pages 1-12, July.

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