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Nye, Benjamin D.; Pavlik, Philip I., Jr.; Windsor, Alistair; Olney, Andrew M.; Hajeer, Mustafa; Hu, Xiangen – International Journal of STEM Education, 2018
Background: This study investigated learning outcomes and user perceptions from interactions with a hybrid intelligent tutoring system created by combining the AutoTutor conversational tutoring system with the Assessment and Learning in Knowledge Spaces (ALEKS) adaptive learning system for mathematics. This hybrid intelligent tutoring system (ITS)…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Outcomes of Education, Mastery Learning
Kusairi, Sentot; Alfad, Haritzah; Zulaikah, Siti – Journal of Turkish Science Education, 2017
Fluid statics is one of the most difficult topics for students to learn. Formative assessment and remedial instruction can help students master the concepts. However, identifying students' challenges for formative purposes and facilitating remedial learning is not easy given to the number of students and variation of the problems encountered. An…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Physics, Science Instruction
Nowak, Elena – Technology, Instruction, Cognition and Learning, 2014
This study examined the effectiveness of a dynamically adaptive TutorIT tutorial for graduate students' learning of basic statistical skills and their attitudes toward this tutorial. Fifteen in-service teachers interacted with the tutorial. As hypothesized, all who completed the tutorial demonstrated mastery. However, the class differed…
Descriptors: Intelligent Tutoring Systems, Statistics, Instructional Effectiveness, Student Attitudes

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