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| Type |
Poster Presentation |
| Area |
Chemistry Education |
| Room No. |
Grand Ballroom |
| Time |
10월 18일 (목요일) 11:00~12:30 |
| Code |
EDU.P-486 |
| Subject |
Understanding the Experience of Overseas Educational Volunteer Activity from Analyzing the Students’ Report |
| Authors |
JaeYoung Han
Department of Chemistry Education, Chungbuk Natioanl University, Korea |
| Abstract |
Korean pre-service teachers went to Nicaragua and taught elementary and secondary students last winter. The purpose of this study is to understand the meaning of this overseas educational voluntary activity. The author led the pre-service teachers to prepare the voluntary activity, managed the whole activity in Nicaragua for four weeks, and wrote the final report of the activity. The pre-service students (N=17) submitted their own reports which described what they have experienced in the voluntary activity. For the analysis of students’ report, this study used the Net-Miner. Net-Miner is one of the software used in the analysis of big data. Students’ reports consist of 13416 words, 2028 sentences, and 367 paragraphs. Net-Miner produces the ‘word cloud’ that shows the most frequently used words. The word cloud contained the words such as ‘lesson’, ‘thinking’, ‘voluntary’, ‘student’, ‘preparation’, ‘time’, ‘education’ etc. In the ‘topic modeling’ some main topics can be derived. The derived topics can be described as ‘thinking on the meaning of voluntary activity in Nicaragua’, ‘children and students in school time’, and ‘preparing and giving lesson in Spanish.’ I will discuss the possibility and usefulness of big data analysis as a complementary tool in a qualitative research. |
| E-mail |
jyhannn@chungbuk.ac.kr |
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122nd General Meeting of the KCS