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

doi: 10.3390/su14074167
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.
sustainable education; curriculum recommendation; intelligent tutoring system; adaptive; bug model; prior-knowledge level; learning style; tutoring strategy; artificial intelligence, Environmental effects of industries and plants, adaptive, TJ807-830, intelligent tutoring system, TD194-195, Renewable energy sources, Environmental sciences, curriculum recommendation, bug model, prior-knowledge level, GE1-350, sustainable education
sustainable education; curriculum recommendation; intelligent tutoring system; adaptive; bug model; prior-knowledge level; learning style; tutoring strategy; artificial intelligence, Environmental effects of industries and plants, adaptive, TJ807-830, intelligent tutoring system, TD194-195, Renewable energy sources, Environmental sciences, curriculum recommendation, bug model, prior-knowledge level, GE1-350, sustainable education
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).24 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
