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Fabic, Geela Venise Firmalo; Mitrovic, Antonija; Neshatian, Kourosh – International Journal of Artificial Intelligence in Education, 2019
The overarching goal of our project is to design effective learning activities for PyKinetic, a smartphone Python tutor. In this paper, we present a study using a variant of Parsons problems we designed for PyKinetic. Parsons problems contain randomized code which needs to be re-ordered to produce the desired effect. In our variant of Parsons…
Descriptors: Telecommunications, Handheld Devices, Cues, Intelligent Tutoring Systems
Chen, Xingliang; Mitrovic, Antonija; Mathews, Moffat – International Journal of Artificial Intelligence in Education, 2019
Agency refers to the level of control the student has over learning. Most studies on agency in computer-based learning environments have been conducted in the context of educational games and multimedia learning, while there is little research done in the context of learning with Intelligent Tutoring Systems (ITSs). We conducted a study in the…
Descriptors: Problem Solving, Intelligent Tutoring Systems, Educational Games, Independent Study
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
Mostow, Jack; Nelson-Taylor, Jessica; Beck, Joseph E. – Journal of Educational Computing Research, 2013
A 7-month study of 178 students in grades 1-4 at two Blue Ribbon schools compared two daily 20-minute treatments. Eighty-eight students used the 2000-2001 version of Project LISTEN's Reading Tutor (www.cs.cmu.edu/~listen) in 10-computer labs, averaging 19 hours over the course of the year. The Reading Tutor served as a computerized implementation…
Descriptors: Oral Reading, Intelligent Tutoring Systems, Sustained Silent Reading, Comparative Analysis
Peer reviewedOrey, Michael; And Others – Computers and Education, 1994
Describes the use of a commercial hypermedia package for the development of an intelligent tutoring system (ITS) for the Army's Mobile Subscriber Remote Telephone. Time comparisons with an ITS developed by programmers are discussed; users' evaluations of the two versions are described; and questionnaires used in the study are appended. (Contains…
Descriptors: Artificial Intelligence, Authoring Aids (Programming), Comparative Analysis, Computer Assisted Instruction

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