TY - GEN
T1 - DISCUSSION VISUALIZATION AND REFLECTION SYSTEM TO FACILITATE TEAM-BASED LEARNING
AU - Matsuhisa, K.
AU - Mu, Y.
AU - Inoue, M.
AU - Yokemura, Taketoshi
AU - Mano, K.
N1 - Funding Information:
This work was supported by JSPS
Publisher Copyright:
© 2021 Proceedings - SEFI 49th Annual Conference: Blended Learning in Engineering Education: Challenging, Enlightening - and Lasting?. All Rights Reserved.
PY - 2021
Y1 - 2021
N2 - Many universities have adopted collaborative learning approaches such as Project-Based Learning (PBL), where students work in teams. However, in collaborative learning, problems such as not developing appropriate conclusions within the time constraint or the conclusions deviating from the central theme occur. Based on recognizing these issues, we have developed a system that visualizes and analyses learners' discussions in collaborative learning in real-time and feeds back the results to the learners to encourage them to reflect on the results, leading to active and appropriate discussions. The system analyzes the number of words said by each learner per unit of time and the rate of frequent words in collaborative learning and displays this information on the learner's browser in real-time. We can use the system for ideas and meeting management by displaying the co-occurrence network diagram of frequent words and trends of words in a meeting. We have applied this system to collaborative learning in teams and evaluated its effectiveness and impact on team discussions. In the experiment for PBL II course students, the results showed that the scores of the four data representations were more than three, and 73.7% of students evaluate the system as helpful to the discussion.
AB - Many universities have adopted collaborative learning approaches such as Project-Based Learning (PBL), where students work in teams. However, in collaborative learning, problems such as not developing appropriate conclusions within the time constraint or the conclusions deviating from the central theme occur. Based on recognizing these issues, we have developed a system that visualizes and analyses learners' discussions in collaborative learning in real-time and feeds back the results to the learners to encourage them to reflect on the results, leading to active and appropriate discussions. The system analyzes the number of words said by each learner per unit of time and the rate of frequent words in collaborative learning and displays this information on the learner's browser in real-time. We can use the system for ideas and meeting management by displaying the co-occurrence network diagram of frequent words and trends of words in a meeting. We have applied this system to collaborative learning in teams and evaluated its effectiveness and impact on team discussions. In the experiment for PBL II course students, the results showed that the scores of the four data representations were more than three, and 73.7% of students evaluate the system as helpful to the discussion.
KW - Education Support System
KW - Team-Based Learning
KW - Text Mining
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M3 - Conference contribution
AN - SCOPUS:85122969720
T3 - Proceedings - SEFI 49th Annual Conference: Blended Learning in Engineering Education: Challenging, Enlightening - and Lasting?
SP - 1454
EP - 1457
BT - Proceedings - SEFI 49th Annual Conference
A2 - Heiss, Hans-Ulrich
A2 - Jarvinen, Hannu-Matti
A2 - Mayer, Annette
A2 - Schulz, Alexandra
PB - European Society for Engineering Education (SEFI)
T2 - SEFI 49th Annual Conference: Blended Learning in Engineering Education: Challenging, Enlightening - and Lasting?
Y2 - 13 September 2021 through 16 September 2021
ER -