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How should we teach chatbot interaction to students? A pilot study on perceived affordances and chatbot interaction patterns in an authentic K-12 setting

dc.contributor.authorKlar, Maria
dc.contributor.editorKiesler, Natalie
dc.contributor.editorSchulz, Sandra
dc.date.accessioned2024-10-21T10:40:34Z
dc.date.available2024-10-21T10:40:34Z
dc.date.issued2024
dc.description.abstractUnderstanding how to use generative AI can greatly benefit the learning process. Despite available concepts for teaching “how to prompt”, little empirical evidence exists on students’ current micro-level chatbot use that would justify a need for instruction on how to prompt. This pilot study investigates students’ chatbot use in an authentic setting. Findings reveal general interaction patterns, including a notable lack of conversational patterns, indicating an underutilization of this central chatbot capability. However, despite having no formal instruction, some students discovered specific chatbot affordances. While basic prompting skills are displayed or acquired during exploration, explicit training on effective chatbot interaction could enhance skillful chatbot use. This training should integrate cognitive and metacognitive strategies as well as technological knowledge, helping students leverage the technology’s full potential.en
dc.identifier.doi10.18420/delfi2024-ws-22
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45037
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI Workshops 2024
dc.relation.ispartofseriesDELFI
dc.subjectLearning
dc.subjectChatbots
dc.subjectInteraction Patterns
dc.subjectChatbot Affordances
dc.subjectPrompting Instruction
dc.titleHow should we teach chatbot interaction to students? A pilot study on perceived affordances and chatbot interaction patterns in an authentic K-12 settingen
dc.typeText/Conference Paper
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleDELFI: Workshop
mci.document.qualitydigidoc
mci.reference.pages165-174

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