scholarly journals CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data

2019 ◽  
Vol 2019 (1) ◽  
pp. 681-1-681-12 ◽  
Author(s):  
Maggie Celeste Goulden ◽  
Eric Gronda ◽  
Yurou Yang ◽  
Zihang Zhang ◽  
Jun Tao ◽  
...  
2021 ◽  
Vol 18 (1) ◽  
pp. 12-26
Author(s):  
Jing Hu ◽  
Silva Maria Do Carmo Vieira

Problem and goal. With the advent of the information age, Internet-based online learning has also become one of the learning methods chosen by many learners. They can use these online learning platforms to complete knowledge construction while learning offline. Methodology. Most studies of learning behaviors focus on the discovery of the best learning model and disregard the possible impact of different learning behaviors on knowledge construction. Therefore, based on the Felder - Silverman learning style model, this article uses the Solomon learning style scale to improve the design of the questionnaire and collect four-dimensional differential learning behaviors data. In order to further understand the influence of learning styles on the effectiveness of online learning, we also use online learning data on the Small Private Online Course platform and general cognitive intelligence knowledge integration theory to clarify the relation between learning modes and individuals differences. Results. This study observes and analyzes the learning behavior data of 46 students of Nankai University in the SPOC learning platform, also analyzes the differences in learning styles and knowledge construction of students in the SPOC environment. Compared with the traditional Basic Portuguese teaching method, the blended teaching model based on the Chaoxing Learning platform has unparalleled advantages. Interactions inside and outside the classroom, improving student participation and promoting teaching diagnosis. Conclusion. Through a comprehensive analysis of questionnaire data and online data, we found that some learning styles have different effects on the effectiveness of online learning, ignoring the individual differences of learners will still cause problems in knowledge construction.


2019 ◽  
Vol 23 (4) ◽  
Author(s):  
Yu-Chen Yeh ◽  
Oi-Man Kwok ◽  
Hsiang-Yu Chien ◽  
Noelle Wall Sweany ◽  
Eunkyeng Baek ◽  
...  

The purpose of this study was to examine the underlying mechanism between goal orientations and academic expectation for online learners. We simultaneously studied the structural relationships among 2×2 achievement goal orientations, self-regulated learning strategies (SRL), supportive online learning behaviors, and expected academic outcome in various online courses with 93 respondents (70 undergraduate and 23 graduate students). Specifically, we tested the mediation effects of both self-regulated learning strategies and supportive online learning behaviors on the relation between achievement goal orientations and students’ academic expectations. The results showed that two of the achievement goal orientations – mastery-approach goals (MAP) and mastery-avoidance goals (MAV) – predicted the adoption of the self-regulated learning strategies and supportive online learning behaviors, which, in turn, predicted students’ expected academic outcome for their online course. Specifically, students with higher mastery-approach goals were more likely to adopt different types of self-regulated learning strategies and supportive online learning behaviors to facilitate their learning experience, which further enhanced their expectation for their academic outcome. By contrast, students with higher mastery-avoidance goals were less likely to adopt self-regulated learning strategies and supportive online learning behaviors, which, in turn, led to lower grade expectations.


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