Does difficulty even matter? Investigating difficulty adjustment and practice behavior in an open-ended learning task

  • Difficulty adjustment in practice exercises has been shown to be beneficial for learning. However, previous research has mostly investigated close-ended tasks, which do not offer the students multiple ways to reach a valid solution. Contrary to this, in order to learn in an open-ended learning task, students need to effectively explore the solution space as there are multiple ways to reach a solution. For this reason, the effects of difficulty adjustment could be different for open-ended tasks. To investigate this, as our first contribution, we compare different methods of difficulty adjustment in a user study conducted with 86 participants. Furthermore, as the practice behavior of the students is expected to influence how well the students learn, we additionally look at their practice behavior as a post-hoc analysis. Therefore, as a second contribution, we identify different types of practice behavior and how they link to students’ learning outcomes and subjectiveDifficulty adjustment in practice exercises has been shown to be beneficial for learning. However, previous research has mostly investigated close-ended tasks, which do not offer the students multiple ways to reach a valid solution. Contrary to this, in order to learn in an open-ended learning task, students need to effectively explore the solution space as there are multiple ways to reach a solution. For this reason, the effects of difficulty adjustment could be different for open-ended tasks. To investigate this, as our first contribution, we compare different methods of difficulty adjustment in a user study conducted with 86 participants. Furthermore, as the practice behavior of the students is expected to influence how well the students learn, we additionally look at their practice behavior as a post-hoc analysis. Therefore, as a second contribution, we identify different types of practice behavior and how they link to students’ learning outcomes and subjective evaluation measures as well as explore the influence the difficulty adjustment methods have on the practice behaviors. Our results suggest the usefulness of taking into account the practice behavior in addition to only using the practice performance to inform adaptive intervention and difficulty adjustment methods.show moreshow less

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Metadaten
Author:Anan SchüttORCiDGND, Tobias HuberORCiDGND, Jauwairia NasirORCiDGND, Cristina Conati, Elisabeth AndréORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1271132
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/127113
ISBN:979-8-4007-1618-8OPAC
Parent Title (English):LAK '24: proceedings of the 14th Learning Analytics and Knowledge Conference, Kyoto, Japan, 18-22 March 2024
Publisher:Association for Computing Machinery (ACM)
Place of publication:New York, NY
Type:Conference Proceeding
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2025/12/18
First Page:253
Last Page:262
DOI:https://doi.org/10.1145/3636555.3636876
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Menschzentrierte Künstliche Intelligenz
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Sonstige Open-Access-Lizenz