Higher education in Germany traditionally follows a one-size-fits-all paradigm. The ignorance of diverse students’ needs jeopardizes high-quality and equal educational opportunities for all. Digital technologies can provide economical solutions to individualize teaching and learning, even in large university classes. However, their design has to incorporate pedagogical theories, specific contextual requirements, and users’ needs (Laurillard, 2008). In this project contribution, we want to demonstrate our approach to this challenge. We briefly describe how we connected the pedagogical concept of mentoring to theories of self-regulated learning and used this as a framework for developing formative assessment and automated feedback tools as digital mentoring interventions. The mentoring nterventions aim at facilitating self-regulated learning, especially self-monitoring and strategy-adaption. We present three different implementations in structured and illstructured domains and the key results of a qualitative evaluation survey. [Aus: Introduction]
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:85654 |
| Date | 31 May 2023 |
| Creators | Moser, Eva, Shegupta, Ummay Ubaida, Ihsberner, Katja, Jalilov, Orkhan, Schmidt, René, Hardt, Wolfram |
| Contributors | Hochschule der Deutschen Gesetzlichen Unfallversicherung (HGU), Technische Universität Dresden, Technische Universität Dresden |
| Publisher | TUDpress - Verlag der Wissenschaften |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 978-3-95908-241-9, urn:nbn:de:bsz:14-qucosa2-848672, qucosa:84867 |
Page generated in 0.0026 seconds