著者

天野 直紀

出版者

特定非営利活動法人 日本e-Learning学会

雑誌

日本e-Learning学会誌 (ISSN:13490192)

巻号頁・発行日

vol.19, pp.10-14, 2019-07-04 (Released:2019-07-06)

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Preventing truancy and expulsion (in this paper, referred to collectively as “dropouts”) is an extremely important task for educational institutions. Individual conference is a realistic measure for preventing such dropouts. However, there are various issues with holding individual conferences, such as the skills of the conference holder and the personnel cost. This paper presents the anomaly detection method as a method for predicting which students will drop out using data provided by an educational support system. This method is expected to reduce the issue of personnel cost and heighten the overall effectiveness of individual conferences.

著者

鈴木 竣丸 宮崎 佳典

出版者

特定非営利活動法人 日本e-Learning学会

雑誌

日本e-Learning学会誌 (ISSN:13490192)

巻号頁・発行日

vol.19, pp.53-61, 2019-10-28 (Released:2019-10-28)

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For the practice of an extensive reading of English texts, it is thought that keeping providing texts with learners' suitable levels seems desirable. Because the difficulty of texts is more or less influenced by the percentage of unknown words in them, recording the status of "known / unknown" of words for individual learners is one of the key issues. On the other hand, it is obviously burdensome and time-consuming to record the information of a large number of English words. In this paper, the authors have devised an algorithm to estimate the "known / unknown" status of words in SVL12000 wordlist for individual learners. A simulation was also conducted using the real data for the comparison with other algorithms. The result shows that it worked out well for some learners though there still exist drawbacks of the algorithm.

著者

藤本 かおる

出版者

特定非営利活動法人 日本e-Learning学会

雑誌

日本e-Learning学会誌 (ISSN:13490192)

巻号頁・発行日

vol.19, pp.27-41, 2019-09-03 (Released:2019-09-04)

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This study explored the challenges faced by Japanese language teachers in conducting online classes for groups of students at the beginner level. Unstructured interviews with three Japanese language teachers were conducted to examine this issue. An analysis of the data collected from the interviews revealed certain factors causing teachers’ dissatisfaction with overall class management in online classes, such as in handling practices that they normally provide in a face-to-face class, structuring the learning environment, or understanding the motivation of individual leaners, as they cannot watch over all students. The teachers expressed that simply getting accustomed to conducting online classes for groups of students could reduce their dissatisfaction, but felt that this may be akin to giving up. They also voiced that technological support offered by IT specialists, such as changing the Internet network or the online communication system, could offer limited solutions.