Author(s)

Yasar Akyuz

Computer Sciences Program, International Black Sea University, Tbilisi, Georgia.

With the advancements of technological solutions and the changes in human society has brought personalized learning into the limelight. A major technological solution has stream rolled personalized learning around the world in the development and advancements of Intelligent tutoring systems. The review of previous researches and in-depth analysis of several studies have proved that an intelligent tutoring system has made a positive impact on personalized learning, bringing some visible contributions in enhancing the performance of students and providing better time management. This research explores and unveils what personalized learning is all about and the role of an intelligent tutoring system in personalized learning. The work also covers how intelligent tutoring system has enhanced the performance of students, reduced cost for training institutes and educational system. The data in this research was collected through several means ranging from Internet research, one-on-one interviews, observations, and Educational Focus groups. Through the research methods, theoretical and empirical data were gathered. For interviews, data was effectively analyzed using content analysis techniques. The research work concludes with acknowledgment of the effects of intelligent tutoring system on personalized learning.

Intelligent Tutoring Systems (ITS), Personalized Learning (PL), Pump Algebra Tutor (PAT), Structured Query Language (SQL), Episodic Learner Model (ELM), Adaptive Remote Tutor (ART), Automated Debugger in Learning System (ADIL), Information and Communication Technology (ICT), Whole-Course Intelligent Tutoring System (WITS), Cognitive Learning, Personalized Tutoring, Tutoring Tools, Instructional Design Process, Cognitive Task Analysis, Authoring Tools, Personal Leaning Environment

Akyuz, Y. (2020) Effects of Intelligent Tutoring Systems (ITS) on Personalized Learning (PL). Creative Education, 11, 953-978. doi: 10.4236/ce.2020.116069.