Examining the Use of Emerging Technologies in Schools: a Review of Artificial Intelligence and Immersive Technologies in STEM Education

被引:0
作者
Chng E. [1 ]
Tan A.L. [2 ]
Tan S.C. [3 ]
机构
[1] Harvard Graduate School of Education, Harvard University, Cambridge
[2] Natural Sciences and Science Education, National Institute of Education, Nanyang Technological University, Singapore
[3] Learning Sciences and Assessment, National Institute of Education, Nanyang Technological University, Singapore
关键词
Emerging technologies; Science practices; STEM Education;
D O I
10.1007/s41979-023-00092-y
中图分类号
学科分类号
摘要
While justifications have been made for emerging technologies’ transformative potential in STEM education, the roadmap for their eventual implementation in schools is underexplored. To this end, we review research works in artificial intelligence (AI) and immersive technologies which have been applied to facilitate STEM learning. Through a systematic literature search, we identified 82 papers and analyzed them for three aspects—(1) types of emerging technologies used, (2) science education goals, and (3) implementation value. Our findings indicate that augmented reality and natural language processing are common technologies used to enhance students’ learning experiences. These technologies helped students build conceptual understanding as well as epistemic practices in science. On the other hand, mixed reality and computer vision were the least popular technologies, which may be indicative of the low maturity of these technologies. Of all the science education goals, social aspects were the least commonly tackled through emerging technologies. Moreover, 58.9% of technological applications transformed science teaching and learning through automated ways of providing individualized feedback to students involved in argumentation and reasoning activities. Finally, based on our findings, we derive three research agenda that we believe would further the eventual implementation of emerging technologies in schools. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
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页码:385 / 407
页数:22
相关论文
共 32 条
  • [21] Lead States N.G.S.S., Next generation science standards: For states, by states, The National Academies Press, (2013)
  • [22] Ouyang F., Jiao P., Artificial intelligence in education: the three paradigms, Computers and Education: Artificial Intelligence, 2, (2021)
  • [23] Pelletier K., McCormack M., Reeves M., Robert J., Arbino N., 2022 EDUCAUSE Horizon Report, (2022)
  • [24] Puentedura R.R., SAMR: Moving from Enhancement to Transformation, (2013)
  • [25] Rogers P.L., Barriers to adopting emerging technologies in education, Journal of Educational Computing Research, 22, 4, pp. 455-472, (2000)
  • [26] Roussel P.A., Technological maturity proves a valid and important concept, Research Management, 27, 1, pp. 29-34, (1984)
  • [27] Scardamalia M., Collective cognitive responsibility for the advancement of knowledge, Liberal education in a knowledge society, pp. 67-98, (2002)
  • [28] Sedlmeier P., Intelligent tutoring systems, International Encyclopedia of the Social & Behavioral Sciences, pp. 7674-7678, (2001)
  • [29] Spector J.M., Emerging educational technologies and research directions, Journal of Educational Technology & Society, 16, 2, pp. 21-30, (2013)
  • [30] Ustun A.B., The power of using emerging technologies in MOOCs: Accelerating globalization in higher education, Journal of Learning and Teaching in Digital Age, 6, 2, pp. 141-148, (2021)