Erdem Onan - PhD Project data for study 4

DOI

Title System versus Self: Using Adaptive Learning Technologies to Promote the Self-regulated Use of Desirable Difficulties Summary This study aims to move beyond one-size-fits-all type of instructional support when designing learning strategy interventions. Specifically, it compares the effectiveness of two forms of adaptive support: System- and self-regulated support. In the former, the system decides students’ unique instructional needs based on three parameters: knowledge of learning strategies, interpretation of subjective experiences, and use of interleaving. Depending on this measurement, it provides students with a respective combination of instructional support. In the self-regulated support condition, students have the autonomy to design their own instruction, using the same instructional components. Participants were psychology students at Maastricht University. The study was conducted and designed on SoSciSurvey platform. Data Description 1. Diagnostic assessment (all students) • Aw. Awareness of interleaving • Ef. Interpretation of effort • Pl. Interpretation of perceived learning 2. IC. Instructional components (only in the self-regulated condition) • IC01: refutations on the effectiveness of learning strategies • IC02: refutations on the role of subjective experiences • IC03: guided study phase • Binary coded: 0 did not request support; 1 requested support. 3. Use of interleaving • Nsw. Number of switch • Sw. Proportion of switch. • Chronologically ordered (per task). 4. Ft. Fatigue questions. 5. Classification performance • Scores at the item level: Named with the names of categories - Binary coded: 0 incorrect; 1 correct • Scores aggregated: Test.1, Test.2, Test.3 6. Condition: indicating the experimental condition (system versus self).

Identifier
DOI https://doi.org/10.34894/YCEUG6
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/YCEUG6
Provenance
Creator Erdem Onan
Publisher DataverseNL
Contributor Shedata
Publication Year 2025
Rights CC0-1.0; info:eu-repo/semantics/restrictedAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess false
Contact Shedata (maastrichtuniversity.nl)
Representation
Resource Type Dataset
Format application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
Size 42330
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences