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131.
We initiated and structured a single program that supervised teachers, some with neuroscience or psychology degrees, to collaborate and explore the effects of science of learning‐translated pedagogy. This article reports on the 34 findings from teacher‐led randomized controlled trials (RCTs) and replications. Teachers designed trials, looking at areas such as attention, memory, and spaced learning. Overall, positive effects were found over short periods (1–6 weeks; r = 0.15, p < .0001 [d = 0.30], N = 2,157). However, retrieval practice (testing as a learning experience) had differential effects mediated by age, approach, and lesson content. Results suggest science of learning‐translated pedagogy needs extensive replication to establish how best to use laboratory evidence in classrooms. Multiple planned replication of teacher‐led RCTs has potential as an evaluation tool, combining high levels of mundane realism with strong internal validity and the potential to build cost effective large samples for meta‐analysis.  相似文献   
132.
Action learning is a pedagogical practice that helps participants learn by talking about their workplace action with fellow participants (‘comrades in adversity’) in their action learning set. This paper raises questions about the action in action learning, such as: how do members of an action learning set learn from and through each other? How do they learn through their developing conversation and interaction?

To answer such questions, I argue that, ‘ethnomethodology’ (the study of ‘member's methods’ or ‘folk methods’ for doing any kind of practical action) is useful for showing the intricacy of the practical learning process in action learning, as in learning in action, more generally. The paper illustrates the conversational and interactional work of members doing things and learning together in action (for example discovering things in science and in board meetings); and argues that this approach may also be used to study action learning in practice.  相似文献   

133.
A Gagné-style learning hierarchy often permits a large number of alternate linear arrangements (sequences) of instructional objectives. An alternative is described here to traditional methods of choosing between sequences. Its premise is that, for every sequence, a value temed thememory load can be calculated which is theoretically related to the probability that students will fail to recall prerequisite objectives. A graph theoretic approach is taken in presenting an algorithm which generates a minimal memory load sequence from a learning tree, a restricted but frequently encountered type of learning hierarchy. In order to assess the effectiveness of the algorithm in generating low memory load sequences when given hierarchies which are not trees, it was applied to several published examples of learning hierarchies. The results indicated that the algorithm is effective as an heuristic, especially when combined with a hill-descending procedure which attempts to incrementally improve the generated sequence.  相似文献   
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This article explores the way librarians define, leverage, and amplify expertise in a twenty-first century academic library. An expert team comprised of a nursing librarian, online learning librarian, information-literacy librarian, and assessment librarian sorted the learning outcomes from the Information-Literacy Competency Standards for Nursing created by the Health Sciences Interest Group taskforce of the Association of College and Research Libraries (ACRL) by grade-levels. Results found distinguishing experts within a library supports the customization of scaffolded instruction. Additionally, using expert teams in academic libraries supports the larger mission of universities to integrate libraries into teaching and research.  相似文献   
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