Affiliation:
1. Shri Vaishnav Vidyapeeth Vishwavidyalaya, India
2. Rajkiya Engineering College, India
Abstract
With digitization, a rapid growth is seen in educational technology. Different formal and informal learning contents are available on the internet. Intelligent tutoring system provides personalized e-learning to the learners. Different attributes like historical data, real-time data, behavioral, and cognitive are usually used for personalization. Based on the personalization, the intelligent tutoring system aims to provide easy and effective understanding. Recent research highlights the effect of learner's behavior and emotions on effective teaching-learning process. This chapter provides a brief description of the intelligent tutoring system, current developments, instructional techniques, proposed solution, and future recommendations. The emphasis of the study is to provide insights on self-regulated learning.
Reference79 articles.
1. Affectiva SDK: A Cross-Platform RealTime Multi-Face Expression Recognition Toolkit. (2018, May). Retrieved from Affectiva: https://www.affectiva.com/science-resource/affdex-sdk-a-cross-platform-realtime-multi-face-expression-recognition-toolkit/
2. A Survey of Intelligent Language Tutoring Systems
3. Evolutionary computation approaches to the Curriculum Sequencing problem
4. Sustainability requirements for eLearning systems: A systematic literature review and analysis.;A. D.Alharthi;Requirements Engineering,2018
5. A NEW FRAMEWORK FOR THE CONTROL OF LMS IN INTELLIGENT TUTORING SYSTEMS
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