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Explainable Feedback for Learning Based on Rubric-Based Multimodal Assessment Analytics with AI

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dc.contributor.authorWolf, Karsten D.
dc.contributor.authorMaya, Fatima
dc.contributor.authorHeilmann, Lisanne
dc.contributor.editorKiesler, Natalie
dc.contributor.editorSchulz, Sandra
dc.date.accessioned2024-10-21T10:40:35Z
dc.date.available2024-10-21T10:40:35Z
dc.date.issued2024
dc.description.abstractProviding timely formative feedback to students is very important to support self-regulated learning and deep learning strategies. Feedback has been shown to increase student engagement, satisfaction and learning outcomes, especially in generative learning tasks such as ePortfolios and other forms of multimodal compositions. However, the provision of detailed formative feedback places high demands on teachers’ resources. It would be highly beneficial if Large Language Models (LLM) could be used to support the feedback process. Therefore, this paper first describes a general architecture for multimodal formative assessment analysis and feedback generation. It is based on assessment rubrics, which are then used to build task-specific AI analysis pipelines to generate explainable assessment metrics, which are then used to produce helpful feedback. An example of a feedback pipeline for student video submissions in an ePortfolio is given, along with a prompting chain for feedback generation. The paper describes further steps necessary to evaluate and optimise this process in real classroom scenarios..en
dc.identifier.doi10.18420/delfi2024-ws-40
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45057
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2024
dc.relation.ispartofseriesDELFI
dc.subjectePortfolios
dc.subjectExplanatory Videos
dc.subjectMultimodal Formative Assessment
dc.subjectLarge Language Models (LLM)
dc.subjectPrompt Engineering
dc.subjectFew-Shot-Learning
dc.subjectAssessment Rubrics
dc.titleExplainable Feedback for Learning Based on Rubric-Based Multimodal Assessment Analytics with AIen
dc.typeText/Conference Paper
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleDELFI: Workshop
mci.document.qualitydigidoc
mci.reference.pages283-292

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