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Trends and development in technology-enhanced adaptive/ personalized learning: A systematic review of journal publications from 2007 to 2017

机译：技术增强的适应性/个性化学习趋势与发展：2007年至2017年对期刊出版物的系统审查

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摘要

In this study, the trends and developments of technology-enhanced adaptive/personalized learning have been studied by reviewing the related journal articles in the recent decade (i.e., from 2007 to 2017). To be specific, we investigated many research issues such as the parameters of adaptive/personalized learning, learning supports, learning outcomes, subjects, participants, hardware, and so on. Furthermore, this study reveals that personalized/adaptive learning has always been an attractive topic in this field, and personalized data sources, for example, students' preferences, learning achievements, profiles, and learning logs have become the main parameters for supporting personalized/adaptive learning. In addition, we found that the majority of the studies on personalized/adaptive learning still only supported traditional computers or devices, while only a few studies have been conducted on wearable devices, smartphones and tablet computers. In other words, personalized/adaptive learning has a significant number of potential applications on the above smart devices with the rapid development of artificial intelligence, virtual reality, cloud computing and wearable computing. Through the in-depth analysis of the trends and developments in the various dimensions of personalized/adaptive learning, the future research directions, issues and challenges are discussed in our paper.
机译：在这项研究中，通过审查了最近十年（即，2007年至2017年）的相关期刊文章研究了技术增强的适应性/个性化学习的趋势和发展。具体而言，我们调查了许多研究问题，例如自适应/个性化学习，学习支持，学习成果，科目，参与者，硬件等参数。此外，本研究表明，个性化/自适应学习始终是该领域的一个有吸引力的主题，例如，个性化数据源，例如，学生的偏好，学习成果，简档和学习日志已成为支持个性化/自适应的主要参数学习。此外，我们发现大多数关于个性化/自适应学习的研究仍然支持传统计算机或设备，而只有少数研究已经在可穿戴设备，智能手机和平板电脑上进行。换句话说，个性化/自适应学习在上述智能设备上具有大量潜在的应用，具有人工智能，虚拟现实，云计算和可穿戴计算的快速发展。通过深入分析个性化/自适应学习的各种维度的趋势和发展，我们的论文中讨论了未来的研究方向，问题和挑战。

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