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Abstract
Two practice strategies are generally considered to be effective for acquiring problemsolving skills: workedexamples and retrieval practice. To better understand which strategy works under which conditions, we integrated two existing perspectives into one model. In that model, the optimal practice strategy depends on both the complexity of the learning task and the interval between the final practice opportunity and the test (i.e., retention interval). To test the model, we conducted a multiclassroom experiment with a 2 (Task Complexity: simple vs. complex) x 2 (Practice Strategy: workedexamples vs. retrieval practice) x 2 (Retention Interval: 5 minutes vs. 1 week) betweensubjects design (N = 170). We performed a Bayesian 2 x 2 x 2 ANCOVA on participants’ problemsolving performance. Although the data provided evidence that prior mathematical knowledge and task complexity affect participants’ problemsolving performance, no evidence was found for the hypothesized interaction effects. Further analyses on the effect of practice strategy on problemsolving performance will be presented at the conference.
Original language  English 

Publication status  Published  23 Aug 2023 
Event  20th Biennial EARLI Conference: Education as a hope in uncertain times  Thessaloniki , Greece Duration: 22 Aug 2023 → 26 Aug 2023 Conference number: 20 https://www.earli.org/events/earli2023 
Conference
Conference  20th Biennial EARLI Conference 

Abbreviated title  EARLI 2023 
Country/Territory  Greece 
City  Thessaloniki 
Period  22/08/23 → 26/08/23 
Internet address 
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Dive into the research topics of 'WorkedExamples and Retrieval Practice in Primary School Students’ Mathematical ProblemSolving'. Together they form a unique fingerprint.Activities
 1 Organising an event

Understanding and Optimizing Effects of Retrieval Practice in Education
Obergassel, N. (Chair), Ruitenburg, S. (Chair), Camp, G. (Organiser) & Roelle, J. (Organiser)
23 Aug 2023Activity: Attending or organising an event types › Organising an event › Academic