Abstract While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more…
International Journal of Artificial Intelligence in Education Template
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About the International Journal of Artificial Intelligence in Education format
International Journal of Artificial Intelligence in Education is a peer-reviewed journal published by Springer Nature, covering Intelligent Tutoring Systems and Adaptive Learning, Online Learning and Analytics, Innovative Teaching and Learning Methods.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. International Journal of Artificial Intelligence in Education 12, 45–58 (2023).
Formats any DOI in International Journal of Artificial Intelligence in Education style. No sign-up. |
| Publishes research in | Intelligent Tutoring Systems and Adaptive Learning Online Learning and Analytics Innovative Teaching and Learning Methods Topic Modeling Teaching and Learning Programming |
| ISSN | 1560-4292 |
| Citation impact (2-yr) | 11.4 |
| h-index | 87 |
| i10-index | 465 |
| Total citations | 32,097 |
| Article processing charge | $2,790 |
| Top institutions publishing here | Carnegie Mellon University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in International Journal of Artificial Intelligence in Education per year
Citation impact of International Journal of Artificial Intelligence in Education by publication year
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Most-cited papers in International Journal of Artificial Intelligence in Education
Tutoring systems are described as having two loops. The outer loop executes once for each task, where a task usually consists of solving a complex, multi-step problem. The inner loop executes once for each step taken by the student in the solution of a task. The inner loop can give feedback and hints on each…
In this paper, we review algorithmic bias in education, discussing the causes of that bias and reviewing the empirical literature on the specific ways that algorithmic bias is known to have manifested in education. While other recent work has reviewed mathematical definitions of fairness and expanded algorithmic approaches to reducing bias, our review focuses instead…
The ASSISTments project is an ecosystem of a few hundred teachers, a platform, and researchers working together. Development professionals help train teachers and get teachers to participate in studies. The platform and these teachers help researchers (sometimes explicitly and sometimes implicitly) simply by using content the teacher selects. The platform, hosted by Worcester Polytechnic Institute,…