Factors Affecting College Students’ Learning Outcomes in non Face-to-Face Environment during Covid-19 Pandemic

2020 ◽  
Vol 36 (3) ◽  
pp. 957-989
Author(s):  
Seongyoun Hong ◽  
Yeonjae Ryu
1972 ◽  
Author(s):  
Ronald G. Taylor ◽  
Richard D. Grosz ◽  
Robert Whetstone ◽  
Catherine Joseph ◽  
Leon Willis

2021 ◽  
pp. 073563312199595
Author(s):  
Te-Lien Chou ◽  
Kai-Yu Tang ◽  
Chin-Chung Tsai

Programming learning has become an essential literacy for computer science (CS) and non-CS students in the digital age. Researchers have addressed that students’ conceptions of learning influence their approaches to learning, and thus impact their learning outcomes. Therefore, we aimed to uncover students’ conceptions of programming learning (CoPL) and approaches to programming learning (APL), and analyzed the differences between CS and non-CS students. Phenomenographic analysis was adopted to analyze 31 college students (20 CS-related, and 11 not) from northern Taiwan. Results revealed six categories of CoPL hierarchically: 1. memorizing concepts, logic, and syntax, 2. computing and practicing programming writing, 3. expressing programmers’ ideas and relieving pressure, 4. applying and understanding, 5. increasing one’s knowledge and improving one’s competence, and 6. seeing in a new way. Four categories of APL were also found, namely: 1. copying from the textbook, teachers, or others, 2. rote memory, 3. multiple exploration attempts, and 4. online or offline community interactions. Furthermore, we found that most CS students held higher level CoPL (e.g., seeing in a new way) than non-CS students. However, compared with non-CS students, CS students adopted more surface approaches to learning programming, such as copying and rote memory. Implications are discussed.


2019 ◽  
Vol 67 (7) ◽  
pp. 338-349
Author(s):  
Maryam Afshari ◽  
Jalal Poorolajal ◽  
Forouzan Rezapur-Shahkolai ◽  
Mohammad Javad Assari ◽  
Akram Karimi-Shahanjarini

Farmers in developing countries use harmful pesticides while taking few or no protective measures. There is limited evidence on factors affecting their safety measures. The objective of this study was to identify the underlying factors influencing farmers’ protective behaviors (PBs) and use of personal protective equipment (PPE) during the exposure to pesticides. From April to August 2017, a descriptive study was conducted in Twiserkan County in western Iran among 474 farmers from 104 villages. A questionnaire was developed to measure demographic characteristics and factors suggested in integrated agent-centered (IAC) framework. The questionnaire was validated in terms of content validity through expert reviews and tested for reliability in a group of farmers. Data were collected by face-to-face interviews with farmers. Physiological arousal (β = .154, p < .05), intention (β = .345, p < .05), habit (β = .188, p < .05), and contextual factors (β = .101, p < .05) had a significant and positive impact on farmers engaging in pesticide PBs. Among the assessed factors, only physiological arousal (β = .122, p < .05) and habit (β = .646, p < .05) were found to have a significant and positive effect on the use of PPE, but the intention (β = –.039, p > .05) and contextual factors (β = –.009, p > .05) had no significant relation with the use of PPE. The results of this study identified determinants of farmers’ safety measures. Our results suggest that the IAC framework could serve as a guide to developing a more effective intervention for safety measures of Iranian farmers.


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