Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 8 |
Descriptor
Source
Author
Aleven, Vincent | 1 |
Ayub, Mewati | 1 |
Baghaei, Nilufar | 1 |
Belenky, Daniel M. | 1 |
Chan, Tak-Wai | 1 |
Després, Christophe | 1 |
Elvina, Elvina | 1 |
Godwin-Jones, Robert | 1 |
Irwin, Warwick | 1 |
Jacoboni, Pierre | 1 |
Karnalim, Oscar | 1 |
More ▼ |
Publication Type
Reports - Descriptive | 14 |
Journal Articles | 12 |
Speeches/Meeting Papers | 2 |
Historical Materials | 1 |
Education Level
Higher Education | 2 |
Elementary Secondary Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Nongkhai, Lalita Na; Wang, Jingyun; Mendori, Takahiko – International Association for Development of the Information Society, 2022
This paper proposes the design of an ontology of multiple programming languages and give three examples to show the methodology. Our ontology aims to summarize the core of computational thinking logic by elaborating the concepts of three object-oriented programming languages in the industry: Python, Java, and C#. Therefore, the construction of the…
Descriptors: Programming Languages, Computer Science Education, Intelligent Tutoring Systems, Thinking Skills
Elvina, Elvina; Karnalim, Oscar; Ayub, Mewati; Wijanto, Maresha Caroline – Journal of Technology and Science Education, 2018
Numerous Program Visualization tools (PVs) have been developed for assisting novice students to understand their source code further. However, none of them are practical to be used in the context of completing programming laboratory task; students are required to keep switching between PV and programming workspace since PV's features are…
Descriptors: Visualization, Programming, Computer Science Education, Intelligent Tutoring Systems
Py, Dominique; Després, Christophe; Jacoboni, Pierre – Technology, Instruction, Cognition and Learning, 2015
Although providing open learner models to teachers and learners has proven effective, building accurate learner models remains a very complex task, partly due to the large amount of data that must be analyzed. We propose a method for specifying an open learner model at the conceptual level. This model re-uses constraints or indicators already…
Descriptors: Open Education, Models, Design, Programming Languages
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol; Sewall, Jonathan; Ringenberg, Michael – Grantee Submission, 2013
Authoring tools for Intelligent Tutoring System (ITS) have been shown to decrease the amount of time that it takes to develop an ITS. However, most of these tools currently do not extend to collaborative ITSs. In this paper, we illustrate an extension to the Cognitive Tutor Authoring Tools (CTAT) to allow for development of collaborative ITSs that…
Descriptors: Intelligent Tutoring Systems, Programming Languages, Fractions, Learning Processes
Le, Nguyen-Thinh; Menzel, Wolfgang – International Journal of Artificial Intelligence in Education, 2009
In this paper, we introduce logic programming as a domain that exhibits some characteristics of being ill-defined. In order to diagnose student errors in such a domain, we need a means to hypothesise the student's intention, that is the strategy underlying her solution. This is achieved by weighting constraints, so that hypotheses about solution…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Programming, Models
Godwin-Jones, Robert – Language Learning & Technology, 2007
Ever since the PLATO system of the 1960's, CALL (computer assisted language learning) has had a major focus on providing self-paced, auto-correcting exercises for language learners to practice their skills and improve their knowledge of discrete areas of language learning. The computer has been recognized from the beginning as a patient and…
Descriptors: Individualized Instruction, Pacing, Computer Assisted Instruction, Intelligent Tutoring Systems
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

Song, J. S.; And Others – Computers & Education, 1997
This discussion of intelligent tutoring systems (ITS) focuses on a description of C-Tutor, a knowledge-based ITS for novice C programmers. The program analyzer, which is a compound of a reverse engineering system and a didactic system, is explained, and implementation and evaluation is discussed. (LRW)
Descriptors: Computer Assisted Instruction, Educational Technology, Evaluation Methods, Higher Education

Chan, Tak-Wai – Journal of Artificial Intelligence in Education, 1996
Describes the development of learning companion systems and their contributions to the class of social learning systems that integrate artificial intelligence agents and use machine learning to tutor and interact with students. Outlines initial social learning projects, their programming languages, and weakness. Future improvements will include…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Futures (of Society), Global Education
Van Rosmalen, Peter; Vogten, Hubert; Van Es, Rene; Passier, Harrie; Poelmans, Patricia; Koper, Rob – Educational Technology & Society, 2006
The objective of this paper is to introduce a standards-based model for adaptive e-learning and to investigate the conditions and tools required by authors to implement this model. Adaptation in the context of e-learning is about creating a learner experience that purposely adjusts to various conditions over a period of time with the intention of…
Descriptors: Educational Technology, Instructional Design, Web Based Instruction, Electronic Learning
Rokou, Franca Pantano; Rokou, Elena; Rokos, Yannis – Educational Technology & Society, 2004
Using modeling languages is essential to the construction of educational systems based on software engineering principles and methods. Furthermore, the instructional design is undoubtedly the cornerstone of the design and development of educational systems. Although several methodologies and languages have been proposed for the specification of…
Descriptors: Instructional Design, Models, Computer System Design, Systems Development

Molnar, Andrew R. – T.H.E. Journal, 1997
Provides an overview of computers in education: early computers and computer languages, computer-assisted instruction, micro worlds, microcomputers, intelligent tutors, intelligent tools, symbol systems, computer graphics, virtual reality, distance education via the Internet, distance mentoring, learning-on-demand, organizational learning via…
Descriptors: Computer Assisted Instruction, Computer Graphics, Computer Uses in Education, Distance Education

Major, Nigel – Journal of Artificial Intelligence in Education, 1995
Describes a modelling language for representing teaching strategies, based in the context of the COCA intelligent tutoring system. Examines work on meta-reasoning in knowledge-based systems and describes COCA's architecture, giving details of the language used for representing teaching knowledge. Discusses implications for future work. (AEF)
Descriptors: Computer Assisted Instruction, Computer System Design, Computer Uses in Education, Educational Strategies
Papasalouros, Andreas; Retalis, Symeon; Papaspyrou, Nikolaos – Educational Technology & Society, 2004
The role of conceptual modeling in Educational Adaptive Hypermedia Applications (EAHA) is especially important. A conceptual model of an educational application depicts the instructional solution that is implemented, containing information about concepts that must be ac-quired by learners, tasks in which learners must be involved and resources…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Educational Technology