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Supporting adaptive learning pathways through the use of learning analytics: developments, challenges and future opportunities

机译:通过使用学习分析来支持适应性学习途径:发展,挑战和未来机会

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摘要

Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are identified via a systematic review and classified based on the dimensions of a proposed framework. The findings of the review suggest that interesting work has been carried out during the last years on the topic. We conclude with a need for more research on the topic in specific learning domains and settings. Recommendations include: a clear strategy for adaptation augmented by LA, the combination of on-task with pre-task measures, and the combination of system-controlled adaptation with user-controlled adaptation. Future trends include the emergence of constructivist-collaborative environments that provide insightful models of complex student behaviour.
机译:学习分析(LA)和适应性学习有着千丝万缕的联系,因为它们都促进了技术支持的以学习者为中心的教育。这项研究确定了专注于相互作用的发展,并强调了未充分研究的方向,这些方向显示出更高的创新潜力。通过系统的评审确定了二十一个同行评审研究,并根据拟议框架的规模对其进行了分类。审查的结果表明,在过去几年中,对该主题进行了有趣的工作。最后,我们需要在特定的学习领域和环境中对该主题进行更多的研究。建议包括:通过LA增强的清晰的适应策略,任务上与任务前措施的结合以及系统控制的适应与用户控制的适应的结合。未来的趋势包括建构主义协作环境的出现,这种环境提供了复杂的学生行为的有见地的模型。

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