Despite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews aiming at synthesizing the AIED findings in the literature. However, these AIED reviews are diversified in terms of focus, stakeholders, educational level and region, and so on. This has made the understanding of the overall landscape of AIED challenging. To address this research gap, this study proceeds one step forward by systematically meta-synthesizing the AIED literature reviews. Specifically, 143 literature reviews were included and analyzed according to the technology-based learning model. It is worth noting that most of the AIED research has been from China and the U.S. Additionally, when discussing AIED, strong focus was on higher education, where less attention is paid to special education. The results also reveal that AI is used mostly to support teachers and students in education with less focus on other educational stakeholders (e.g. school leaders or administrators). The study provides a possible roadmap for future research agenda on AIED, facilitating the implementation of effective and safe AIED.
Open Praxis is a peer-reviewed open access scholarly journal focusing on research and innovation in open, distance, and flexible education. It is published by International Council for Open and Distance Education - ICDE Web of Science (ESCI) Impact Factor for 2023 is 0,9; ranked 457 out of 759 in Education and Educational Sciences in Q3. Scopus Cite Score is 3.5; ranked 453 out of 1543 in Education category in Q2 and 72 out of 2801 in Library and Information Sciences category in Q2. Facts and Figures: 2024 article acceptance rate is 33%, rejection rate is 67% (13% desk rejections - 54% rejections after review). While the number of days for acceptance is 44, the number of days for rejection is 16.
This article develops a post-determinist and a post-instrumentalist understanding of education and educational research through the lens of postdigital theory. We begin with historicizing current postdigital research by showing its intellectual ancestry and recognizing its rapidly changing nature. We move on to current state of the art, which we present in three wide themes. The first theme is the great convergence of various lower-level techno-scientific convergences, such as analogue–digital, physics–biology, and biology–information, which results in new epistemologies, ontologies and practices. The second theme is some consequences of the great convergence for education and pedagogy, which result in new postdigital ecopedagogies. The third theme is postdigital research, which is reconfigured by the great convergence towards a closer collaboration between traditional scientific fields and disciplines. We briefly outline four such reconfigurations (multidisciplinary, interdisciplinarity, transdisciplinarity, and antidisciplinarity) and their implications. The article concludes with a brief list of directions for future work in the field.
27 October 2018 in Postdigital Science and Education
This article is a multi-authored experimental postdigital dialogue about postdigital dialogue. Fourteen authors were invited to produce their sections, followed by two author-reviewers who examined the article as a whole. Authors were invited to reflect on Petar Jandric’s book Learning in the age of digital reason (2017) or to produce completely new insights. The article also contains a summary of book symposium on Learning in the age of digital reason held at the 2017 American Educational Research Conference (AERA). The authors are tentatively confident that this article produces more knowledge than the arithmetic sum of its constituent parts. However, they are also very aware of its limits and insist that their conclusions are not consensual or homogenous. As traditional forms of research increasingly fail to describe our current reality, they present this article as an experiment and a possible starting point for developing new dialogical research approaches fit for our postdigital reality.