Testing the instructional fit hypothesis: the case of self-explanation prompts

Cognitive science principles should have implications for the design of effective learning environments. The self-explanation principle was chosen for the current work because it has developed significantly over the last 20 years. Early formulations hypothesized that self-explanation facilitated inference generation to supply missing information about a concept or target skill, whereas later work hypothesized that self-explanation facilitated mental-model revision (Chi, Handbook of research on conceptual change, 2000). To better understand the complex relationship between prior knowledge, cognitive processing, and changes to a learner’s representation, two classes of self-explanation prompts (gap-filling and mental-model revision) were tested in the domain of physics problem solving. Prompts designed to focus the learner on gap-filling led to greater learning and a reduction in the amount of tutoring assistance required to solve physics problems. The results are interpreted as support for the instructional fit hypothesis—the idea that the efficacy of instruction is contingent on the match between the cognitive processing that the instruction elicits, how those processes modify the underlying knowledge representations for the task, and the utility of those representations for the task or problem.     

Electroencephalographic Coherence and Learning: Distinct Patterns of Change During Word Learning and Figure Learning Tasks

One likely mechanism in learning new skills is change in synchronous connections between distributed neural networks, which can be measured by coherence analysis of electroencephalographic patterns. This study examined coherence changes during the learning of two tasks, a word association task and a figure association task. Although learning curves were similar for both tasks, distinct patterns of coherence change were observed. Coherence tended to increase as learning progressed in the figure association task. In contrast, coherence tended to decrease in the word association task, especially within hemisphere. Word learning was coupled with negative intrahemispheric and positive interhemispheric performance–coherence relations in the gamma frequency. Unique to the figure learning task was an increase in the number of positive coherence–performance relations in both delta and theta frequencies across blocks. Results are discussed in light of ongoing efforts to identify the mechanisms that coordinate distributed brain activities during the process of learning. Further research is needed to define patterns of coherence change for different tasks, goals, and brain regions.     

Electronic Performance Support Technology: Defining the Domain

Electronic performance support is an expanding area within the field of performance technology. This article reviews and classifies the literature, both conceptual and case-based, in order to assess settings for use, initiating factors for development, and general features of the various systems. Identification of each article reviewed is presented in a matrix of categories that can be used to point those interested in specific aspects of this complex topic to the most pertinent information for their own needs. A general summary of findings follows.     

Analytical Models for Minority Representation in Academic Departments

We present mathematical models for the evolution over time of the proportion of minorities in an academic department or similarly selected group of constant size. Using the models, we analyze both the steady-state and time-dependent behavior of the proportion of minorities, and also obtain a means of evaluating the effectiveness of a department's hiring history. We derive a number of surprising results with importance to institutional hiring policy and affirmative action; and we also present methods, suggested by the model and its behavior, to improve departmental hiring practices.