Vision, challenges, roles and research issues on Artificial Intelligence in Education

The rapid advancement of computing technologies has facilitated the implementation of AIED (Artificial Intel-ligence in Education) applications. AIED refers to the use of AI (Artificial Intelligence) technologies or applicationprograms in educational settings to facilitate teaching, learning, or decision making. With the help of AI tech-nologies, which simulate human intelligence to make inferences, judgments, or predictions, computer systems canprovide personalized guidance, supports, or feedback to students as well as assisting teachers or policymakers inmaking decisions.

Although AIED has been identified as the primary research focus in thefield of computers andeducation, the interdisciplinary nature of AIED presents a unique challenge for researchers with different disci-plinary backgrounds. In this paper, we present the definition and roles of AIED studies from the perspective ofeducational needs. We propose a framework to show the considerations of implementing AIED in differentlearning and teaching settings. The structure can help guide researchers with both computers and educationbackgrounds in conducting AIED studies. We outline 10 potential research topics in AIED that are of particularinterest to this journal. Finally, we describe the type of articles we like to solicit and the management of thesubmissions.

Source: Hwang, W., Xie, H., Wah, B. W., & Gasevic, D. 2020. Vision, challenges, roles and research issues of Artificial Intelligence in Education. Elsevier, Computers and Education: Artificial Intelligence (1).

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Icon image: Pxfuel - AI en education