Fominykh Mikhail, Weidlich Joshua, Kalz Marco, Hybertsen Ingunn Dahler
Norwegian University of Science and Technology, Trondheim, Norway.
Heidelberg University of Education, Heidelberg, Germany.
Int J Educ Technol High Educ. 2022;19(1):1. doi: 10.1186/s41239-021-00305-7. Epub 2022 Jan 6.
This article contributes to the debate on the growing number of interdisciplinary study programs in learning and technology, and aims to understand the diversity of programs as well as curricula structure in an international landscape. Scientific fields share their knowledge and recruit young researchers by offering discipline-specific study programs. Thus, study programs are a reflection of the fields they represent. As technology-enhanced learning is considered to be particularly interdisciplinary and heterogenous, it is important to better understand the landscape of study programs that represents the field. This article presents an analysis of master programs in technology-enhanced learning. A systematic review and analysis of master programs offered in English has been conducted and further used as input for hierarchical cluster analysis. The study identified general characteristics, curricula structure, and organization of topics of these programs. Hierarchical cluster analysis and qualitative content analysis helped us to identify the major types of curricular structures and typical topics covered by the courses. Results show that most study programs rely on interdisciplinary subjects in technology-enhanced learning with a considerable number of subjects from education, learning and psychology. Subjects related to technology, information and computer science appear in such programs less frequently.
本文为关于学习与技术领域中跨学科研究项目数量不断增加的辩论做出了贡献,旨在了解国际背景下项目的多样性以及课程结构。科学领域通过提供特定学科的学习项目来分享知识并招募年轻研究人员。因此,学习项目是它们所代表领域的一种反映。由于技术增强学习被认为特别具有跨学科性和异质性,更好地理解代表该领域的学习项目情况非常重要。本文对技术增强学习领域的硕士项目进行了分析。已对用英语提供的硕士项目进行了系统的综述和分析,并进一步将其用作层次聚类分析的输入。该研究确定了这些项目的一般特征、课程结构和主题组织。层次聚类分析和定性内容分析帮助我们确定了课程结构的主要类型以及课程涵盖的典型主题。结果表明,大多数学习项目依赖于技术增强学习中的跨学科科目,其中相当一部分科目来自教育、学习和心理学。与技术、信息和计算机科学相关的科目在这类项目中出现的频率较低。