scholarly journals Nontraditional Learning Environments: Do They Prepare Our Students For Life Long Learning?

2020 ◽  
Author(s):  
Scott Jiusto ◽  
David DiBiasio
2012 ◽  
Vol 20 (2) ◽  
pp. 90-112 ◽  
Author(s):  
Laurie Nagelsmith ◽  
Jason Bryer ◽  
Zheng Yan

The purpose of this study was to identify the best fitting model to represent interrelationships between motivation, volition, and academic success for adult nursing students learning in nontraditional environments. Participants (N = 297) completed a survey that incorporated two measures: the Motivated Strategies for Learning Questionnaire (MSLQ) and the Academic Volitional Strategies Inventory (AVSI) as well as demographic information. Exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) were used for data analysis. In Phase 1, EFA resulted in factors that generally aligned with previous theoretical factors as defined by the psychometrics used. In Phase 2 of the analysis, CFA validated the use of predefined factor structures. In Phase 3, SEM analysis revealed that motivation has a larger effect on grade point average (GPA; βˆ = .28, p < .01) than volition (βˆ = .15, p < .05). The covariance between motivation and volition (r = .42, p < .01) was also found to be significant. These results suggest that there is a significant relationship among motivation, volition, and academic success for adult learners studying in nontraditional learning environments. These findings are consistent with and elaborate the relationship between motivation and volition with a population and setting underrepresented in the research.


2019 ◽  
Vol 5 (2) ◽  
pp. 116-134 ◽  
Author(s):  
Jeremy M. Hamm ◽  
Raymond P. Perry ◽  
Judith G. Chipperfield ◽  
Patti C. Parker ◽  
Jutta Heckhausen

Author(s):  
Milene GONÇALVES ◽  
Katja THORING ◽  
Roland M. MUELLER ◽  
Petra BADKE-SCHAUB ◽  
Pieter DESMET

Building on the assumption that the physical environment can have an influence on the creativity of designers and design students in particular, the aim of this paper is to provide theoretical propositions and evidences for this relationship. We develop various propositions about the influence of physical environments on creativity, based on eight expert interviews and supported by literature. A particular focus was given to the environments of design educational institutions. We present a summary of the main insights and visualize the developed propositions as a causal graph addressing how space influences creativity. These propositions can be regarded as a first step towards a theory of creativity-supporting learning environments and they can serve as a reference when designing or adjusting creative learning spaces.


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