Academic self-concept is one's perception of his or her ability in an academic domain and is formed by comparing oneself to other students. As college biology classrooms transition from lecturing to active learning, students interact more with each other and are likely comparing themselves more to other students in the class. Student characteristics can impact students' academic self-concept; however, this has been unexplored in the context of undergraduate biology. In this study, we explored whether student characteristics can affect academic self-concept in the context of an active learning college physiology course. Using a survey, students self-reported how smart they perceived themselves to be in the context of physiology relative to the whole class and relative to their groupmate, the student with whom they worked most closely in class. Using linear regression, we found that men and native English speakers had significantly higher academic self-concept relative to the whole class compared with women and nonnative English speakers. Using logistic regression, we found that men had significantly higher academic self-concept relative to their groupmate compared with women. Using constant comparison methods, we identified nine factors that students reported influenced how they determined whether they were more or less smart than their groupmate. Finally, we found that students were more likely to report participating more than their groupmate if they had a higher academic self-concept. These findings suggest that student characteristics can influence students' academic self-concept, which in turn may influence their participation in small-group discussion and their academic achievement in active learning classes.
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http://dx.doi.org/10.1152/advan.00085.2017 | DOI Listing |
BMC Psychol
January 2025
Universidad Nacional de Trujillo, Trujillo, Perú.
Background: In recent years, the adoption of artificial intelligence (AI) has become increasingly relevant in various sectors, including higher education. This study investigates the psychosocial factors influencing AI adoption among Peruvian university students and uses an extended UTAUT2 model to examine various constructs that may impact AI acceptance and use.
Method: This study employed a quantitative approach with a survey-based design.
Nonlinear Dynamics Psychol Life Sci
January 2025
Arizona State University, Tempe AZ.
This article analyzes the research career of Jeffrey Goldstein from the perspective of nonlinear dynamical systems. Goldstein's focus was on the application of emergence in complex social systems. He applied emergence to issues in organizational development, leadership, social entrepreneurship, and innovation.
View Article and Find Full Text PDFPLoS One
January 2025
Monash University, Melbourne, Australia.
Data is becoming increasingly ubiquitous today, and data literacy has emerged an essential skill in the workplace. Therefore, it is necessary to equip high school students with data literacy skills in order to prepare them for further learning and future employment. In Indonesia, there is a growing shift towards integrating data literacy in the high school curriculum.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Chemistry and Center for Emerging Material and Advanced Devices, National Taiwan University, Taipei 106319, Taiwan (R.O.C.).
Boronic acids have been widely applied in various biological fields, particularly achieving significant practical progress in boronic acid-based glucose sensing. However, boronic acids exhibit nonspecific binding to other nucleophiles, and the inherent lability of boronic esters in biological systems limits their further applications. Herein, we developed a stimuli-responsive controllable caging strategy to achieve photoresponsive spatiotemporally and nitroreductase-responsive cancer cell-selective glucose sensing.
View Article and Find Full Text PDFPLoS One
December 2024
Faculty of Architecture and Engineering, Xiangyang Polytechnic, Xiangyang, China.
Purpose: While the impact of social support on academic performance is acknowledged, the specific mechanisms by which social support affects academic performance, particularly through self-efficacy and learning engagement, remain poorly understood. This study aims to examine the correlation between social support and academic achievement among Chinese middle school students, framed within the Social Cognitive Theory. It also seeks to explore the mediating roles of self-efficacy and learning engagement in this relationship.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!