Applying Multiple Knowledge Structures in Creative Thought: Effects on Idea Generation and Problem-Solving

Prior studies have indicated that multiple knowledge structures, schema, associations, and cases, are involved in creative thought. Few studies, however, have examined how these different knowledge structures operate together in idea generation and creative problem-solving. Accordingly, in the present study 247 undergraduates were asked to generate ideas relevant to a social innovation problem and then provide a potential solution to the problem. A training manipulation was used to encourage application of schematic, associational, or case-based knowledge either alone or in combination. It was found that prompting use of a single knowledge structure, specifically schema or associational knowledge, resulted in the production of more high quality ideas. However, prompting use of multiple knowledge structures, specifically combining either schema or associations with cases, resulted in the production of higher quality and more original problem-solutions. The implications of these findings for understanding the role of different knowledge structures in creative thought are discussed.     

Structuring Case-Based Ethics Training: How Comparing Cases and Structured Prompts Influence Training Effectiveness

This study examined how structuring case-based ethics training, either through (a) case presentation or (b) prompt questions, influences training outcomes. Results revealed an interaction between case presentation and prompt questions such that some form of structure improved effectiveness. Specifically, comparing cases led to greater sensemaking strategy use and decision-ethicality when trainees considered unstructured rather than structured prompts. When cases were presented sequentially, structuring prompts improved training effectiveness. Too much structure, however, decreased future ethical decision making, suggesting that there can be too much of a good thing when structuring case-based ethics education. Implications for designing ethics training programs are discussed.     

Case-Based Knowledge and Ethics Education: Improving Learning and Transfer Through Emotionally Rich Cases

Case-based instruction is a stable feature of ethics education, however, little is known about the attributes of the cases that make them effective. Emotions are an inherent part of ethical decision-making and one source of information actively stored in case-based knowledge, making them an attribute of cases that likely facilitates case-based learning. Emotions also make cases more realistic, an essential component for effective case-based instruction. The purpose of this study was to investigate the influence of emotional case content, and complementary socio-relational case content, on case-based knowledge acquisition and transfer on future ethical decision-making tasks. Study findings suggest that emotional case content stimulates retention of cases and facilitates transfer of ethical decision-making principles demonstrated in cases.     

The equivalence of target and nontarget processing in visual search

A comparison of a forced-choice visual search task with an item recognition task did not support Neisser’s (1967) hypothesis of a preattentive stage that processes targets and nontargets differentially. In the forced-choice condition, Ss indicated which of two items in a visual display was a target; in item recognition, Ss determined whether or not the single item in the visual display was a target. The size of the memorized set of possible targets was varied from one to six items for both tasks. Latencies increased linearly with memory set size in both conditions; the slopes for forced choice and item recognition were 41.8 and 27.9 msec per item, respectively. The ratio of 1.38 between the two slopes was well fit by Sternberg’s (1967) item recognition model, which predicts a ratio of 1.50.     

A Comparison of Structural Brain Imaging Findings in Autism Spectrum Disorder and Attention-Deficit Hyperactivity Disorder

ASD and ADHD are regarded as distinct disorders in the current DSM-5. However, recent research and the RDoC initiative are recognizing considerable overlap in the clinical presentation of ASD, ADHD, and other neurodevelopmental disorders. In spite of numerous neuroimaging findings in ASD and ADHD, the extent to which either of the above views are supported remains equivocal. Here we compare structural MRI and DTI literature in ASD and ADHD. Our main findings reveal both distinct and shared neural features. Distinct expressions were in total brain volume (ASD: increased volume, ADHD: decreased volume), amygdala (ASD: overgrowth, ADHD: normal), and internal capsule (ASD: unclear, ADHD: reduced FA in DTI). Considerable overlap was noted in the corpus callosum and cerebellum (lower volume in structural MRI and decreased FA in DTI), and superior longitudinal fasciculus (reduced FA in DTI). In addition, we identify brain regions which have not been studied in depth and require more research. We discuss relationships between brain features and symptomatology. We conclude by addressing limitations of current neuroimaging research and offer approaches that account for clinical heterogeneity to better distinguish brain-behavior relationships.