Digital Technology to Support Deep Learning and Mental Reasoning

ID: 52390 Type: Full Paper
  1. Kevin Greenberg and Robert Zheng, University of Utah, United States

Thursday, March 29 10:15-10:45 AM Location: Whitney View on map

Presider: Fatih Demir, Northern Illinois University, United States

Abstract: Deep learning is an important factor in processing information. Further, mental reasoning is related to deep learning, especially in the domain of science. It is theorized that having interactive content can decrease cognitive load, which can help to promote deep learning and reasoning, however individual differences such as gender may be a factor. The present study looked to determine the connection between the complexity of reasoning problems with reasoning performance and cognitive load, with a possible gender difference. The results found that the interaction of the digital technology did not influence performance, nor did it affect cognitive load. On the other hand, when problems increased in complexity, reasoning performance decreased, while cognitive load increased. The findings suggest that it is important to consider the complexity of problems and cognitive load in digital technology reasoning problems, which are a factor in deep learning, specifically science learning.


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