Suggestions to Support ‘Flipped Learning’ on Stage based on the Survey of Primary and Secondary Teachers’ Recognition

Han, Jongsoo; Kim, Yong-Myeong; Kang, Mun-Koo

doi:10.21742/ajemr.2016.1.23

Cited by 1 publication

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“…In the online learning environment, learning analysis is a prescription for learning, such as predicting learning outcomes and providing advice by analyzing data generated through various learning activities and digital footprints that learners left in the learning process via a computer. Learning analysis that presents a study becomes possible [19] [26]. Therefore, by providing the results of the learning activities in the learner's online learning environment visually, it helps the learners to achieve self-directed learning, set goals themselves and manage the course and time to attain the results [34][39].…”

Section: Concept Of Learning Analyticsmentioning

confidence: 99%

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Analysis of Factors Influencing LMS Extracted Data using Learning Analysis on the Total Score of Learners

Seo¹,

Kim²,

Rachel³

2021

Journal of Engineering Education Transformations

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The development of information and communication technology has led to change in today's modern society with various names, such as knowledge, information society, internationalization society, and especially, the development of distance education without time and space restrictions. With the development of distance education, problems of dropouts and incompleteness of learners who are constantly in trouble are emerging as and they must be solved. Therefore, in this study, log data (regularity of learning start interval, total number of learnings and total learning time) and personal background data (courses experience, education experience, gender and age) accumulated in the web through learning management system (LMS) in a distant education environment. The purpose of this study is to analyze the effect of age and educational experience on the total scores that determine completion (more than 60 points) and incompleteness (less than 60 points). The study was carried out with data from 1,130 learners of distance learning centers, which were conducted for a total of 16 weeks. Data was extracted and analyzed based on learning analysis, and the results were as follows: First, among the log data, it was found that the total learning time and number of learning had significant effects on the total score. As the number of access to the LMS increased, the learning time and total score increased. Second, among personal background data, age was found to have a significant effect on the total score. It was concluded that the probability of completing the study, i.e, the probability of completing the study, increases as age increases, so the purpose of learning becomes more apparent. The data used in this study was used when a learner started signing up for LMS for learning and collected the consent in advance with the consent of the personal information agreement.

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Section: Concept Of Learning Analyticsmentioning

confidence: 99%

“…Fourth, in the data integration stage, data is integrated from various databases, and it is necessary to reduce unnecessary data and eliminate data that does not match duplication [18] [26]. study was conducted to analyze the effect on achievement.…”

Section: Learning Analysis Advanced Researchmentioning

confidence: 99%

Analysis of Factors Influencing LMS Extracted Data using Learning Analysis on the Total Score of Learners

Seo¹,

Kim²,

Rachel³

2021

Journal of Engineering Education Transformations

View full text Add to dashboard Cite

show abstract

Suggestions to Support ‘Flipped Learning’ on Stage based on the Survey of Primary and Secondary Teachers’ Recognition

Abstract: Korean current education system, which is immerse in knowledge-based, teacher-centered, ranking-oriented

Cited by 1 publication

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Analysis of Factors Influencing LMS Extracted Data using Learning Analysis on the Total Score of Learners

Analysis of Factors Influencing LMS Extracted Data using Learning Analysis on the Total Score of Learners

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