Learning in the Context of (Digital) University Teaching: Flexibilisation and Individualisation

Anne Martin, Norbert Pengel, Maike Haag, Heinz-Werner Wollersheim
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Abstract

This article explores the challenges and developmental landscapes of digital university education, focusing on fostering flexibility and individualization in learning. It examines how integrating online and in-person formats can serve these objectives and how evaluation techniques can enhance the quality of teaching offerings. The shift towards lifelong learning (LLL) and catering to individual student needs are regarded as pivotal concerns. The paper presents various developmental fields within higher education, emphasizing the need to cultivate a learner-centric culture that supports self-directed learning. The integration of online and in-person formats as part of a flexible teaching concept is discussed as a solution for individualizing and flexibilizing learning. Additionally, the evaluation of teaching as a quality measure is deliberated, emphasizing the importance of effective evaluation methodologies. The work concludes with a contemplation on the future of university education, advocating for a balanced blend of online and in-person formats. This strategy aims to foster flexibility and individualization in learning to meet the demands of self-directed and lifelong learning. The article notes that experiences from the pandemic should be integrated into future university teaching rather than reverting to previous norms. The open questions, particularly regarding the integration of AI applications like chatbots and their impact on instruction, are highlighted as pivotal for further developments in higher education.
数字化)大学教学背景下的学习:灵活化与个性化
本文探讨了数字化大学教育所面临的挑战和发展前景,重点是促进学习的灵活性和个性化。文章探讨了如何通过整合在线和面授形式来实现这些目标,以及如何通过评估技术来提高教学质量。向终身学习(LLL)的转变和满足学生的个性化需求被视为关键问题。本文介绍了高等教育的各个发展领域,强调了培养以学习者为中心的文化、支持自主学习的必要性。作为灵活教学理念的一部分,本文讨论了在线和面授形式的整合,以此作为个性化和灵活学习的解决方案。此外,还讨论了作为质量衡量标准的教学评价,强调了有效评价方法的重要性。作品最后对大学教育的未来进行了思考,提倡在线和面对面形式的平衡融合。这一战略旨在促进学习的灵活性和个性化,以满足自主学习和终身学习的需求。文章指出,应将大流行病的经验融入未来的大学教学,而不是回到以前的规范。文章强调了一些开放性问题,特别是关于整合聊天机器人等人工智能应用及其对教学的影响,这些问题对高等教育的进一步发展至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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