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Direct linkWetzel, Jon; VanLehn, Kurt; Butler, Dillan; Chaudhari, Pradeep; Desai, Avaneesh; Feng, Jingxian; Grover, Sachin; Joiner, Reid; Kong-Sivert, Mackenzie; Patade, Vallabh; Samala, Ritesh; Tiwari, Megha; van de Sande, Brett – Interactive Learning Environments, 2017
This paper describes Dragoon, a simple intelligent tutoring system which teaches the construction of models of dynamic systems. Modelling is one of seven practices dictated in two new sets of educational standards in the U.S.A., and Dragoon is one of the first systems for teaching model construction for dynamic systems. Dragoon can be classified…
Descriptors: Intelligent Tutoring Systems, Models, Computer Interfaces, Comparative Analysis
Bull, Susan; Kay, Judy – International Journal of Artificial Intelligence in Education, 2016
The SMILI? (Student Models that Invite the Learner In) Open Learner Model Framework was created to provide a coherent picture of the many and diverse forms of Open Learner Models (OLMs). The aim was for SMILI? to provide researchers with a systematic way to describe, compare and critique OLMs. We expected it to highlight those areas where there…
Descriptors: Educational Research, Data Collection, Data Analysis, Intelligent Tutoring Systems
Hafidi, Mohamed; Bensebaa, Taher – International Journal of Distance Education Technologies, 2015
The majority of adaptive and intelligent tutoring systems (AITS) are dedicated to a specific domain, allowing them to offer accurate models of the domain and the learner. The analysis produced from traces left by the users is didactically very precise and specific to the domain in question. It allows one to guide the learner in case of difficulty…
Descriptors: Intelligent Tutoring Systems, Foreign Countries, Interdisciplinary Approach, Universities
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
Baghaei, Nilufar; Mitrovic, Antonija; Irwin, Warwick – International Journal of Computer-Supported Collaborative Learning, 2007
We present COLLECT-UML, a constraint-based intelligent tutoring system (ITS) that teaches object-oriented analysis and design using Unified Modelling Language (UML). UML is easily the most popular object-oriented modelling technology in current practice. While teaching how to design UML class diagrams, COLLECT-UML also provides feedback on…
Descriptors: Feedback (Response), Intelligent Tutoring Systems, Cooperation, Problem Solving
Galeev, Ildar – Educational Technology, 1999
Discusses the development and introduction of expert tutoring systems (ETS), or intelligent tutoring systems. Explains MONAP-PLUS, an example of an authoring tool for the design of an ETS that includes models of the subject domain, the learner, and the learning process; a user-friendly interface; and techniques for developing algorithmic…
Descriptors: Algorithms, Authoring Aids (Programming), Computer Interfaces, Computer Software Development
Peer reviewedMurray, Tom – Journal of the Learning Sciences, 1998
Describes tools for authoring all aspects of a knowledge-based tutor system: domain model, teaching strategies, student model, and learning environment. Discusses a number of design issues and design tradeoffs that are involved in building intelligent tutoring systems (ITS). (Author/CCM)
Descriptors: Authoring Aids (Programming), Computer Interfaces, Computer Software, Higher Education
Peer reviewedGold, Steven C. – Simulation & Gaming, 1998
Discusses the design and use of intelligent tutoring systems (ITS) for computerized business simulations. Reviews the use of ITS as an instructional technology; presents a model for ITS-based business simulations; examines the user interface and link between the ITS and simulation; and recommends expert-consultant diagnostic testing, and…
Descriptors: Artificial Intelligence, Business, Computer Assisted Instruction, Computer Interfaces
Download full textSchloss, 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
Aroyo, Lora; Mizoguchi, Riichiro – Journal of Interactive Learning Research, 2004
The ultimate aim of this research is to specify and implement a general authoring framework for content and knowledge engineering for Intelligent Educational Systems (IES). In this context we attempt to develop an authoring tool supporting this framework that is powerful in its functionality, generic in its support of instructional strategies and…
Descriptors: Educational Strategies, Engineering, Programming, Intelligent Tutoring Systems
Peer reviewedDu Plessis, Johan P.; And Others – Computers & Education, 1995
Proposes a model for intelligent computer-aided education systems that is based on cooperative learning, constructive problem-solving, object-oriented programming, interactive user interfaces, and expert system techniques. Future research is discussed, and a prototype for teaching mathematics to 10- to 12-year-old students is appended. (LRW)
Descriptors: Computer Assisted Instruction, Computer Interfaces, Constructivism (Learning), Cooperative Learning
Yaratan, Huseyin – Turkish Online Journal of Educational Technology - TOJET, 2003
An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Testing, Researchers
