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International Journal of Artificial Intelligence in Education

2016 Volume 26, Number 2

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Table of Contents

Number of articles: 14

  1. The Evolution of Research on Digital Education

    Pierre Dillenbourg

    How does AI&EdAIED today compare to 25 years ago? This paper addresses this evolution by identifying six trends. The trends are ongoing and will influence learning technologies going forward.... More

    pp. 544-560

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  2. Evolution and Revolution in Artificial Intelligence in Education

    Ido Roll & Ruth Wylie

    The field of Artificial Intelligence in Education (AIED) has undergone significant developments over the last twenty-five years. As we reflect on our past and shape our future, we ask two main... More

    pp. 582-599

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  3. Stupid Tutoring Systems, Intelligent Humans

    Ryan S. Baker

    The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But ... More

    pp. 600-614

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  4. The Future of Adaptive Learning: Does the Crowd Hold the Key?

    Neil T. Heffernan, Korinn S. Ostrow, Kim Kelly, Douglas Selent, Eric G. Van Inwegen, Xiaolu Xiong & Joseph Jay Williams

    Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can ... More

    pp. 615-644

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  5. Giving Eyesight to the Blind: Towards Attention-Aware AIED

    Sidney K. D'Mello

    There is an inextricable link between attention and learning, yet AIED systems in 2015 are largely blind to learners' attentional states. We argue that next-generation AIED systems should have the ... More

    pp. 645-659

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  6. Technology Support for Discussion Based Learning: From Computer Supported Collaborative Learning to the Future of Massive Open Online Courses

    Carolyn Penstein Rosé & Oliver Ferschke

    This article offers a vision for technology supported collaborative and discussion-based learning at scale. It begins with historical work in the area of tutorial dialogue systems. It traces the... More

    pp. 660-678

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  7. AI as a Methodology for Supporting Educational Praxis and Teacher Metacognition

    Kaska Porayska-Pomsta

    Evidence-based practice (EBP) is of critical importance in education where emphasis is placed on the need to equip educators with an ability to independently generate and reflect on evidence of... More

    pp. 679-700

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  8. Letting Artificial Intelligence in Education out of the Box: Educational Cobots and Smart Classrooms

    Michael J. Timms

    This paper proposes that the field of AIED is now mature enough to break away from being delivered mainly through computers and pads so that it can engage with students in new ways and help... More

    pp. 701-712

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  9. We're in This Together: Intentional Design of Social Relationships with AIED Systems

    Erin Walker & Amy Ogan

    Students' relationships with their peers, teachers, and communities influence the ways in which they approach learning activities and the degree to which they benefit from them. Learning... More

    pp. 713-729

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  10. Training the Body: The Potential of AIED to Support Personalized Motor Skills Learning

    Olga C. Santos

    This paper argues that the research field of Artificial Intelligence in Education (AIED) can benefit from integrating recent technological advances (e.g., wearable devices, big data processing, 3D ... More

    pp. 730-755

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  11. ITS, The End of the World as We Know It: Transitioning AIED into a Service-Oriented Ecosystem

    Benjamin D. Nye

    Advanced learning technologies are reaching a new phase of their evolution where they are finally entering mainstream educational contexts, with persistent user bases. However, as AIED scales, it... More

    pp. 756-770

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  12. Another 25 Years of AIED? Challenges and Opportunities for Intelligent Educational Technologies of the Future

    Niels Pinkwart

    This paper attempts an analysis of some current trends and future developments in computer science, education, and educational technology. Based on these trends, two possible future predictions of ... More

    pp. 771-783

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  13. Different Futures of Adaptive Collaborative Learning Support

    Nikol Rummel, Erin Walker & Vincent Aleven

    In this position paper we contrast a Dystopian view of the future of adaptive collaborative learning support (ACLS) with a Utopian scenario that--due to better-designed technology, grounded in... More

    pp. 784-795

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  14. Optimists' Creed: Brave New Cyberlearning, Evolving Utopias (Circa 2041)

    Winslow Burleson & Armanda Lewis

    This essay imagines the role that artificial intelligence innovations play in the integrated living, learning and research environments of 2041. Here, in 2041, in the context of increasingly... More

    pp. 796-808

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