Retrieval-, Distributed-, and Interleaved Practice in the Classroom:A Systematic Review

Three of the most effective learning strategies identified are retrieval practice, distributed practice, and interleaved practice, also referred to as desirable difficulties. However, it is yet unknown to what extent these three practices foster learning in primary and secondary education classrooms (as opposed to the laboratory and/or tertiary education classrooms, where most research is conducted) and whether these strategies affect different students differently. To address these gaps, we conducted a systematic review. Initial and detailed screening of 869 documents found in a threefold search resulted in a pool of 29 journal articles published from 2006 through June 2020. Seventy-five effect sizes nested in 47 experiments nested in 29 documents were included in the review. Retrieval- and interleaved practice appeared to benefit students’ learning outcomes quite consistently; distributed practice less so. Furthermore, only cognitive Student*Task characteristics (i.e., features of the student’s cognition regarding the task, such as initial success) appeared to be significant moderators. We conclude that future research further conceptualising and operationalising initial effort is required, as is a differentiated approach to implementing desirable difficulties

Unboxing the black box of visual expertise in medicine

Visual expertise in medicine has been a subject of research since many decades. Interestingly, it has been investigated from two little related fields, namely the field that focused mainly on the visual search aspects whilst ignoring higher-level cognitive processes involved in medical expertise, and the field that mainly focused on these higher-level cognitive processes largely ignoring the relevant visual aspects. Consequently, both research lines have traditionally used different methodologies. Recently, this gap is being increasingly closed and this special issue presents methods to investigate visual expertise in medicine from both research lines, namely those investigating vision (eye tracking, pupillometry, flash preview moving window paradigm), verbalisations, brain activity, and performance measures (ROC analysis, gesture coding, expert performance approach). We discuss the benefits and drawbacks of each method and suggest directions for future research that could help to unbox the black box of visual expertise in medicine

Unboxing the black box of visual expertise in medicine

Visual expertise in medicine has been a subject of research since many decades. Interestingly, it has been investigated from two little related fields, namely the field that focused mainly on the visual search aspects whilst ignoring higher-level cognitive processes involved in medical expertise, and the field that mainly focused on these higher-level cognitive processes largely ignoring the relevant visual aspects. Consequently, both research lines have traditionally used different methodologies. Recently, this gap is being increasingly closed and this special issue presents methods to investigate visual expertise in medicine from both research lines, namely those investigating vision (eye tracking, pupillometry, flash preview moving window paradigm), verbalisations, brain activity, and performance measures (ROC analysis, gesture coding, expert performance approach). We discuss the benefits and drawbacks of each method and suggest directions for future research that could help to unbox the black box of visual expertise in medicine