Development of a Blended Learning System for Engineering Students Studying Intellectual Property Law and Access Log Analysis of the System

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Abstract

In this paper, we analyzed access logs to this blended learning system. The blended learning system is divided into a login section, a menu section, a news section, a video viewing section, an exercise section, and a pdf output section. Therefore, we analyzed relationship between (a) access frequency, (b) video viewing time, (c) exercise system use time, and (d) pdf output count and students’ achievement, respectively. The main results were as follows. (1) Of the 30 students who took the final exam, 22 students accessed the system one or more times. (2) The total access count was 81 times, the total video viewing time was 79 h 56 min 51 s, the exercise system use time was 22 h 20 min 58 s, the number of pdf output was 83 times (278 sheets). (3) Achievement superiors used all of the (a), (b), (c) and (d) more times or more hours than the achievement subordinate. (4) In the basic problems, there was a positive correlation between the students’ achievement and video viewing, exercise system utilization time, respectively. (5) In the applied problems, there was a high positive correlation between the students’ achievement and the use time of the exercise system. (6) In the problem with a low percentage of correct answers, a high positive correlation was found between the score and the use time of exercise system. From the above results, it seems that both video and exercise system are useful for acquiring basic knowledge, and exercise system is useful for developing applied abilities. In addition, it was considered that utilizing the exercise system also contributes to solving high difficulty problems.

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APA

Akakura, T., Tomoto, T., & Kato, K. (2018). Development of a Blended Learning System for Engineering Students Studying Intellectual Property Law and Access Log Analysis of the System. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10905 LNCS, pp. 231–242). Springer Verlag. https://doi.org/10.1007/978-3-319-92046-7_21

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