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Shi, Genghu; Wang, Lijia; Zhang, Liang; Shubeck, Keith; Peng, Shun; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2021
Adult learners with low literacy skills compose a highly heterogeneous population in terms of demographic variables, educational backgrounds, knowledge and skills in reading, self-efficacy, motivation etc. They also face various difficulties in consistently attending offline literacy programs, such as unstable worktime, transportation…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Adult Students, Reading Comprehension
Graf von Malotky, Nikolaj Troels; Martens, Alke – International Association for Development of the Information Society, 2016
Intelligent Tutoring System are state of the art in eLearning since the late 1980s. The earliest system have been developed in teams of psychologists and computer scientists, with the goal to investigate learning processes and, later on with the goal to intelligently support teaching and training with computers. Over the years, the eLearning hype…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Client Server Architecture, Computer Software
Grivokostopoulou, Foteini; Hatzilygeroudis, Ioannis – International Association for Development of the Information Society, 2013
In this paper, we present a way of teaching AI search algorithms in a web-based adaptive educational system. Teaching is based on interactive examples and exercises. Interactive examples, which use visualized animations to present AI search algorithms in a step-by-step way with explanations, are used to make learning more attractive. Practice…
Descriptors: Artificial Intelligence, Mathematics, Web Based Instruction, Intelligent Tutoring Systems
Pavlik, Philip, Jr.; Toth, Joe – Online Submission, 2010
The plethora of different subfields in intelligent tutoring systems (ITS) are often difficult to integrate theoretically when analyzing how to design an intelligent tutor. Important principles of design are claimed by many subfields, including but not limited to: design, human-computer interaction, perceptual psychology, cognitive psychology,…
Descriptors: Intelligent Tutoring Systems, Interdisciplinary Approach, Design, Computer Interfaces
Schloss, Gerhard A.; Wynblatt, Michael J. – 1994
As new users from the non-technical community are attracted to multimedia (MM) computing, it becomes necessary to design a convenient and easy-to-understand logical structure that facilitates data transfer from the MM data repository to MM applications. A recently introduced layered formalism, which describes MM applications in terms of the data…
Descriptors: Computer Assisted Instruction, Computer Interfaces, Computer Software Development, Databases
Nakabayashi, Kiyoshi; Maruyama, Mina; Koike, Yoshimasa; Fukuhara, Yoshimi; Nakamura, Yukihiro – 1996
This paper describes the features of the 1996 version of an intelligent tutoring system (ITS) called CALAT. The architecture of CALAT is an extension of conventional World Wide Web systems, consisting of an ITS kernel on the server side and a multimedia viewer on the client side. The viewer control system is designed to achieve both educationally…
Descriptors: Computer Interfaces, Computer Simulation, Computer System Design, Courseware
Hey, Jessie – 1996
With the explosion in information resources being developed by computer scientists, subject specialists, librarians, and commercial companies, the challenge for the information professional is to keep abreast of the most significant developments and to distill the information for a wide range of users. This paper looks at some of the developments…
Descriptors: Artificial Intelligence, Cataloging, Computer Interfaces, Computer Science