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Timothy O'Brien – Journal of Management Education, 2024
Scholars have identified reflexivity, the ability to question what one might be taking for granted, as a critical meta-cognitive skill that management schools should cultivate amongst students. Reflexive learning though is a complex and idiosyncratic process. Little is known about how students experience this process, what they learn, or how a…
Descriptors: Graduate Students, Leadership Training, Researchers, Experimenter Characteristics
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Timonen, Laura; Juuti, Kalle; Harmoinen, Sari – Physical Review Physics Education Research, 2022
Research on student retention in higher education (HE) physics could benefit by studying emotions in the context of engagement and learning. However, popular retention theories include only a narrow selection of emotions, creating a need to look elsewhere. In this study, we borrow the lens of an affective engagement model, the framework of an…
Descriptors: College Students, Foreign Countries, Emotional Response, School Holding Power
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Seaborne, Amanda; Fiorella, Logan – Applied Cognitive Psychology, 2018
Misophonia refers to one's sensitivity to specific sounds, which can range from minor annoyance to extreme distress. This experiment tested the role of individual differences in misophonia sensitivity on learning. College students read a text passage about migraines in a quiet room with 2 or 3 other participants and 1 confederate. In some…
Descriptors: Acoustics, Sensory Experience, Individual Differences, College Students
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Xie, Qiuzhi; Gao, Xiangping; King, Ronnel B. – Learning and Individual Differences, 2013
This study investigated whether individual differences in thinking styles influence explicit and implicit learning. Eighty-seven university students in China participated in this study. Results indicated that performance in the explicit learning condition was positively associated with Type I thinking styles (i.e. legislative and liberal styles)…
Descriptors: Cognitive Style, Individual Differences, Learning, College Students
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Kyndt, Eva; Cascallar, Eduardo; Dochy, Filip – Higher Education: The International Journal of Higher Education and Educational Planning, 2012
Past research has shown that working memory capacity, attention and students' approaches to learning are all important predictors for educational achievement. In this study the interrelations between these three variables are investigated. Participants were 128 university students. Results show a negative relationship between attention and deep…
Descriptors: Short Term Memory, Attention, Learning, Individual Differences
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Navarro, Daniel J.; Dry, Matthew J.; Lee, Michael D. – Cognitive Science, 2012
Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key "sampling" assumption about how the available data were generated.…
Descriptors: Logical Thinking, Generalization, Sampling, Learning
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Wen, Wen; Ishikawa, Toru; Sato, Takao – Cognitive Science, 2013
This study examined how different components of working memory are involved in the acquisition of egocentric and allocentric survey knowledge by people with a good and poor sense of direction (SOD). We employed a dual-task method and asked participants to learn routes from videos with verbal, visual, and spatial interference tasks and without any…
Descriptors: Individual Differences, Cognitive Processes, Short Term Memory, Spatial Ability
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis