A Structural Model of the Relationship Between Student–Faculty Interaction and Cognitive Skills Development Among College Students

2015 ◽  
Vol 57 (3) ◽  
pp. 288-309 ◽  
Author(s):  
Young K. Kim ◽  
Carol A. Lundberg
2020 ◽  
pp. 003151252098308
Author(s):  
Bianca G. Martins ◽  
Wanderson R. da Silva ◽  
João Marôco ◽  
Juliana A. D. B. Campos

In this study we proposed to estimate the impact of lifestyle, negative affectivity, and college students’ personal characteristics on eating behavior. We aimed to verify that negative affectivity moderates the relationship between lifestyle and eating behavior. We assessed eating behaviors of cognitive restraint (CR), uncontrolled eating (UE), and emotional eating (EE)) with the Three-Factor Eating Questionnaire-18. We assessed lifestyle with the Individual Lifestyle Profile, and we assessed negative affectivity with the Depression, Anxiety and Stress Scale-21. We constructed and tested (at p < .05) a hypothetical causal structural model that considered global (second-order) and specific (first-order) lifestyle components, negative affectivity and sample characteristics for each eating behavior dimension. Participants were 1,109 college students ( M age = 20.9, SD = 2.7 years; 65.7% females). We found significant impacts of lifestyle second-order components on negative affectivity (β = −0.57–0.19; p < 0.001–0.01) in all models. Physical and psychological lifestyle components impacted directly only on CR (β=−0.32–0.81; p < 0.001). Negative affectivity impacted UE and EE (β = 0.23–0.30; p < 0.001). For global models, we found no mediation pathways between lifestyle and CR or UE. For specific models, negative affectivity was a mediator between stress management and UE (β=−0.07; p < 0.001). Negative affectivity also mediated the relationship between thoughts of dropping an undergraduate course and UE and EE (β = 0.06–0.08; p < 0.001). Participant sex and weight impacted all eating behavior dimensions (β = 0.08–0.34; p < 0.001–0.01). Age was significant for UE and EE (β=−0,14– −0.09; p < 0.001–0.01). Economic stratum influenced only CR (β = 0.08; p = 0.01). In sum, participants’ lifestyle, negative emotions and personal characteristics were all relevant for eating behavior assessment.


2021 ◽  
Vol 29 (1) ◽  
pp. 111-125
Author(s):  
Elisa Huéscar Hrnández ◽  
Juan Antonio Moreno-Murcia ◽  
Luís Cid ◽  
Diogo Monteiro ◽  
Filipe Rodrigues

Even though teachers can have an important effect on the regulation of student behavior, the existing scientific literature has hardly explored the simultaneous influence of personal traits and social factors to promote student well-being. This study examined the mediating role of amotivated behavior and the relationship with teacher controlling behaviors, grit, and satisfaction with life. A total of 474 college students (female= 135; male= 339) participated in the study. All participants completed a multi-section survey assessing the constructs under analysis. Results from the structural model analysis displayed acceptable fit and amotivation played a mediating role in the relationship between grit-perseverance and life satisfaction but not for grit-passion. These findings provide evidence regarding adequate teacher behavior and the importance of measuring student grit in the classroom setting. These findings provide new insights into the understanding of teacher motivational behaviors and student learning processes that influence student behavioral regulations and affective outcomes.


2012 ◽  
Vol 40 (8) ◽  
pp. 1245-1254 ◽  
Author(s):  
Wan-Chi Yang ◽  
Ko-Chia Chen ◽  
Yao-Shun Hsueh ◽  
Chao-Ping Tan ◽  
Chia-Ming Chang

Psychologists have different perspectives about well-being. In the satisfaction of needs theory it is stated that well-being is achieved when an individual's needs are satisfied. In this study we explored the relationships among leisure involvement, perceived health status, and leisure benefits to construct a model of the well-being of college students. A structural model based on the descriptive statistics from a convenience sample revealed that although leisure involvement was not directly related to leisure benefits, it did have an impact on well-being. In addition, perceived health status and leisure benefits were found to have a direct effect of well-being. The results are discussed in terms of their relevance to future researchers.


Author(s):  
María Cristina Cepeda-Gonzalez ◽  
Blanca Margarita Villarreal-Soto ◽  
Roció Isabel Ramos-Jaubert ◽  
Laura Patricia Garcia-Contreras

The present study has as main objective to analyze the relationship between the mentoring institutional program and the formation of college students. It is an exploratory study type, phenomenon is examined from a distinct perspective to other studies made; descriptive, since it is specified how is the phenomenon study and correlational (Hernandez 2014). A survey is applied to 100 students from the Science, Education and Humanity faculty of the Autonomous University of Coahuila, results are explored in the following analysis; Descriptive, integrational and relational. Main results are that support of the personalized services of mentoring have impact in the student’s formation since the skills development as decision taking and in their learning resources. Besides in their achievement of planed objectives. Parting from the results is pretended to improve the mentoring work from the student’s perspective that allows them a cultural change as to how to take the process of tutoring.


2015 ◽  
Vol 2 (2) ◽  
pp. 117 ◽  
Author(s):  
David Edens ◽  
Heather Dy ◽  
James Dalske ◽  
Cassandra Strain

The purpose of the study is to improve the understanding of transfer college students, by examining the patterns in and predictors of cognitive skills development among transfer college students. Moreover, this study examined how such patterns and predictors differ by student’s gender and race within this population. Results found that men and women transfer students have differing cognitive skills gains after transferring to a 4-year institution. Results also indicated that there are differences in the cognitive skills gained in college by transfer students from various races. Finally, using regression analysis, models were developed to predict the variance in cognitive skills development for transfer students. Models were able to 33% and 46% of the variance in cognitive skills gains, when evaluated by gender or ethnicity.


2001 ◽  
Author(s):  
Sarah E. A. Nielsen ◽  
Amanda Luthe ◽  
Elizabeth Rellinger

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