Interleaving exemplars of to-be-learned categories-rather than blocking exemplars by category-typically enhances inductive learning. Learners, however, tend to believe the opposite, even after their own performance has benefited from interleaving. In Experiments 1 and 2, the authors examined the influence of 2 factors that they hypothesized contribute to the illusion that blocking enhances inductive learning: Namely, that (a) blocking creates a sense of fluent extraction during study of the features defining a given category, and (b) learners come to the experimental task with a pre-existing belief that blocking instruction by topic is superior to intermixing topics. In Experiments 3-5, the authors attempted to uproot learners' belief in the superiority of blocking through experience-based and theory-based debiasing techniques by (a) providing detailed theory-based information as to why blocking seems better, but is not, and (b) explicitly drawing attention to the link between study schedule and subsequent performance, both of which had only modest effects. Only when they disambiguated test performance on the 2 schedules by separating them (Experiment 6) did the combination of experience- and theory-based debiasing lead a majority of learners to appreciate interleaving. Overall, the results indicate that 3 influences combine to make altering learners' misconceptions difficult: the sense of fluency that can accompany nonoptimal modes of instruction; pre-existing beliefs learners bring to new tasks; and the willingness, even eagerness, to believe that 1 is unique as a learner-that what enhances others' learning differs from what enhances one's own learning. (PsycINFO Database Record

In order to examine metacognitive accuracy (i.e., the relationship between metacognitive judgment and memory performance), researchers often rely on by-participant analysis, where metacognitive accuracy (e.g., resolution, as measured by the gamma coefficient or signal detection measures) is computed for each participant and the computed values are entered into group-level statistical tests such as the t test. In the current work, we argue that the by-participant analysis, regardless of the accuracy measurements used, would produce a substantial inflation of Type I error rates when a random item effect is present. A mixed-effects model is proposed as a way to effectively address the issue, and our simulation studies examining Type I error rates indeed showed superior performance of mixed-effects model analysis as compared to the conventional by-participant analysis. We also present real data applications to illustrate further strengths of mixed-effects model analysis. Our findings imply that caution is needed when using the by-participant analysis, and recommend the mixed-effects model analysis.

Cognitive psychology research has emphasized that the strategies that are effective and efficient for fostering long-term retention (e.g., interleaved study, retrieval practice) are often not recognized as effective by students and are infrequently used. In the present studies, we use a mixed-methods approach and challenge the rhetoric that students are entirely unaware of effective learning strategies. We show that whether being asked to describe strategies used by poor-, average-, and high-performing students (Study 1) or being asked to judge vignettes of students using different strategies (Study 2), participants are generally readily able to identify effective strategies: they were able to recognize the efficacy of explanation, pretesting, interpolated retrieval practice, and even some interleaving. Despite their knowledge of these effective strategies, they were still unlikely to report using these strategies themselves. In Studies 2 and 3, we also explore the reasons why students might not use the strategies that they know are effective. Our findings suggest that interventions to improve learners’ strategy use might focus less on teaching them about what is effective and more on increasing self-efficacy, reducing the perceived costs, and establishing better habits.