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International Journal of Artificial Intelligence in Education

2016 Volume 26, Number 1

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Table of Contents

Number of articles: 35

  1. The Birth of "IJAIED"

    John Self

    This document tries to describe the events of the early days of AIED research that led to the AIED Conferences and Society and, in particular, the "International Journal of Artificial... More

    pp. 4-12

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  2. An Interview Reflection on "Intelligent Tutoring Goes to School in the Big City"

    Kenneth R. Koedinger & Vincent Aleven

    Our 1997 article in "IJAIED" reported on a study that showed that a new algebra curriculum with an embedded intelligent tutoring system (the Algebra Cognitive Tutor) dramatically enhanced... More

    pp. 13-24

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  3. Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later

    W. Lewis Johnson & James C. Lester

    Johnson et al. ("International Journal of Artificial Intelligence in Education," 11, 47-78, 2000) introduced and surveyed a new paradigm for interactive learning environments: animated... More

    pp. 25-36

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  4. Coordinating the Complexity of Tools, Tasks, and Users: On Theory-Based Approaches to Authoring Tool Usability

    Tom Murray

    Intelligent Tutoring Systems authoring tools are highly complex educational software applications used to produce highly complex software applications (i.e. ITSs). How should our assumptions about ... More

    pp. 37-71

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  5. ELM-ART--An Interactive and Intelligent Web-Based Electronic Textbook

    Gerhard Weber & Peter Brusilovsky

    This paper present provides a broader view on ELM-ART, one of the first Web-based Intelligent Educational systems that offered a creative combination of two different paradigms--Intelligent... More

    pp. 72-81

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  6. Reflections on Andes' Goal-Free User Interface

    Kurt VanLehn

    Although the Andes project produced many results over its 18 years of activity, this commentary focuses on its contributions to understanding how a goal-free user interface impacts the overall... More

    pp. 82-90

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  7. Using Ontological Engineering to Overcome AI-ED Problems: Contribution, Impact and Perspectives

    Riichiro Mizoguchi & Jacqueline Bourdeau

    This article reflects on the ontology engineering methodology discussed by the paper entitled "Using Ontological Engineering to Overcome AI-ED Problems" published in this journal in 2000.... More

    pp. 91-106

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  8. Regulative Loops, Step Loops and Task Loops

    Kurt VanLehn

    This commentary suggests a generalization of the conception of the behavior of tutoring systems, which the target article characterized as having an outer loop that was executed once per task and... More

    pp. 107-112

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  9. Computer-Based Interaction Analysis with DEGREE Revisited

    B. Barros & M. F. Verdejo

    We review our research with "DEGREE" and analyse how our work has impacted the collaborative learning community since 2000. Our research is framed within the context of computer-based... More

    pp. 113-123

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  10. Conversations with AutoTutor Help Students Learn

    Arthur C. Graesser

    AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of... More

    pp. 124-132

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  11. The Negotiation of Meaning in Epistemic Situations

    Michael J. Baker

    This article is a commentary on a model for negotiation in teaching-learning dialogues (Baker 1994) that traces its origins and developments over the past 20 years. The first main section of the... More

    pp. 133-149

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  12. Implementing CBM: SQL-Tutor after Fifteen Years

    Antonija Mitrovic & Stellan Ohlsson

    SQL-Tutor is the first constraint-based tutor. The initial conference papers about the system were published in 1998 (Mitrovic 1998a, 1998b, 1998c), with an "IJAIED" paper published in... More

    pp. 150-159

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  13. Research-Based Design of Pedagogical Agent Roles: A Review, Progress, and Recommendations

    Yanghee Kim & Amy L. Baylor

    In this paper we review the contribution of our original work titled "Simulating Instructional Roles Through Pedagogical Agents" published in the "International Journal of Artificial... More

    pp. 160-169

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  14. Implementation of Motivational Tactics in Tutoring Systems: 20 Years On

    Benedict du Boulay & Teresa del Soldato

    This paper describes the development and evaluation of a system called MORE (Motivational Reactive Plan) in the 1990s, designed with an explicit strategy to manage the learner's motivation on a... More

    pp. 170-182

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  15. Commentary on: "Toward Computer-Based Support of Metacognitive Skills: A Computational Framework to Coach Self Explanation"

    Cristina Conati

    This paper is a commentary on "Toward Computer-Based Support of Meta-Cognitive Skills: a Computational Framework to Coach Self-Explanation", by Cristina Conati and Kurt Vanlehn, published... More

    pp. 183-192

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  16. Twenty Years On: Reflections on "Supporting the Use of External Representations in Problem Solving"…

    Richard Cox & Paul Brna

    We reflect upon a paper we wrote that was published in 1995 (20 years ago). We outline the motivation for the work and situate it in the state of the art at that time. We suggest that a key... More

    pp. 193-204

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  17. Help Helps, but Only so Much: Research on Help Seeking with Intelligent Tutoring Systems

    Vincent Aleven, Ido Roll, Bruce M. McLaren & Kenneth R. Koedinger

    Help seeking is an important process in self-regulated learning (SRL). It may influence learning with intelligent tutoring systems (ITSs), because many ITSs provide help, often at the student's... More

    pp. 205-223

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  18. Example-Tracing Tutors: Intelligent Tutor Development for Non-Programmers

    Vincent Aleven, Bruce M. McLaren, Jonathan Sewall, Martin van Velsen, Octav Popescu, Sandra Demi, Michael Ringenberg & Kenneth R. Koedinger

    In 2009, we reported on a new Intelligent Tutoring Systems (ITS) technology, example-tracing tutors, that can be built without programming using the Cognitive Tutor Authoring Tools (CTAT). Creating... More

    pp. 224-269

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  19. The SIETTE Automatic Assessment Environment

    Ricardo Conejo, Eduardo Guzmán & Monica Trella

    This article describes the evolution and current state of the domain-independent Siette assessment environment. Siette supports different assessment methods--including classical test theory, item... More

    pp. 270-292

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  20. SMILI?: A Framework for Interfaces to Learning Data in Open Learner Models, Learning Analytics and Related Fields

    Susan Bull & Judy Kay

    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... More

    pp. 293-331

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