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

Sustainability

Nishad Nawaz¹  Vinit Kumar Gunjan²  Ninni Singh²  Ram Krishn Mishra³  Amit Kumar Mishra⁴ 

[1] Department of Business Management, College of Business Administration, Kingdom University, Riffa 3903, Bahrain;Department of Computer Science and Engineering, CMR Institute of Technology Kandlakoya, Hyderabad 501401, Telangana, India;Department of Computer Science, BITS Pilani, Dubai Campus, Dubai P.O. Box 345055, United Arab Emirates;School of Computing, DIT University, Dehradun 248009, Uttarakhand, India;

关键词: sustainable education;    curriculum recommendation;    intelligent tutoring system;    adaptive;    bug model;    prior-knowledge level;   

DOI  :  10.3390/su14074167

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown