Agbo Friday Joseph, Oyelere Solomon Sunday, Suhonen Jarkko, Tukiainen Markku
School of Computing, University of Eastern Finland, P.O. Box 111, FIN-80101 Joensuu, Finland.
Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden.
Smart Learn Environ. 2021;8(1):1. doi: 10.1186/s40561-020-00145-4. Epub 2021 Jan 15.
This study examines the research landscape of smart learning environments by conducting a comprehensive bibliometric analysis of the field over the years. The study focused on the research trends, scholar's productivity, and thematic focus of scientific publications in the field of smart learning environments. A total of 1081 data consisting of peer-reviewed articles were retrieved from the Scopus database. A bibliometric approach was applied to analyse the data for a comprehensive overview of the trend, thematic focus, and scientific production in the field of smart learning environments. The result from this bibliometric analysis indicates that the first paper on smart learning environments was published in 2002; implying the beginning of the field. Among other sources, "Computers & Education," "Smart Learning Environments," and "Computers in Human Behaviour" are the most relevant outlets publishing articles associated with smart learning environments. The work of Kinshuk et al., published in 2016, stands out as the most cited work among the analysed documents. The United States has the highest number of scientific productions and remained the most relevant country in the smart learning environment field. Besides, the results also showed names of prolific scholars and most relevant institutions in the field. Keywords such as "learning analytics," "adaptive learning," "personalized learning," "blockchain," and "deep learning" remain the trending keywords. Furthermore, thematic analysis shows that "digital storytelling" and its associated components such as "virtual reality," "critical thinking," and "serious games" are the emerging themes of the smart learning environments but need to be further developed to establish more ties with "smart learning". The study provides useful contribution to the field by clearly presenting a comprehensive overview and research hotspots, thematic focus, and future direction of the field. These findings can guide scholars, especially the young ones in field of smart learning environments in defining their research focus and what aspect of smart leaning can be explored.
本研究通过对多年来该领域进行全面的文献计量分析，考察了智能学习环境的研究概况。该研究聚焦于智能学习环境领域科学出版物的研究趋势、学者的生产力以及主题重点。从Scopus数据库中检索到了1081条由同行评审文章组成的数据。采用文献计量方法对数据进行分析，以全面了解智能学习环境领域的趋势、主题重点和科研产出。该文献计量分析结果表明，关于智能学习环境的第一篇论文发表于2002年，这意味着该领域的开端。在其他来源中，《计算机与教育》《智能学习环境》和《人类行为中的计算机》是发表与智能学习环境相关文章的最相关期刊。金淑克等人2016年发表的作品是分析文档中被引用次数最多的。美国的科研产出数量最多，并且在智能学习环境领域仍然是最相关的国家。此外，结果还显示了该领域多产学者和最相关机构的名称。“学习分析”“自适应学习”“个性化学习”“区块链”和“深度学习”等关键词仍然是热门关键词。此外，主题分析表明，“数字叙事”及其相关组成部分，如“虚拟现实”“批判性思维”和“严肃游戏”是智能学习环境的新兴主题，但需要进一步发展以与“智能学习”建立更多联系。该研究通过清晰呈现该领域的全面概况、研究热点、主题重点和未来方向，为该领域做出了有益贡献。这些发现可以指导学者，尤其是智能学习环境领域的年轻学者确定他们的研究重点以及可以探索智能学习的哪些方面。
