TY - JOUR
T1 - Twitter news-in-education platform for social, collaborative, and flipped learning
AU - Kim, Yongsung
AU - Hwang, Eenjun
AU - Rho, Seungmin
N1 - Funding Information:
This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. 2.150379.01, High Performance Big Data Analytics Platform Performance Acceleration Technologies Development). This paper is an extended version of our conference paper [30].
Publisher Copyright:
© 2016, Springer Science+Business Media New York.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - NIE (newspaper in education), which is the study utilizing newspaper-based educational resources in the classroom, has been pursued for a long time. Traditional NIE allows only one-way interaction and available media are limited. In addition, it has difficulty in capturing the latest “hot” issues or recognizing public opinions. In this paper, we propose a platform called TNIE (Twitter news in education) that utilizes Twitter in NIE. TNIE has many advantages compared to traditional NIE: (1) it classifies the latest news into various topics, (2) the classified news content can be browsed effectively via a hierarchical visualization scheme, and (3) effective discussion or debate groups can be easily formed based on the learners’ news selection. To evaluate the performance of our scheme, we implemented a prototype system and performed several experiments. According to the results, our news classification scheme achieved an 87.8 % F-measure on average, which is superior to the 78.94 % of previous studies. We also had volunteers use our prototype system and evaluate its main functions, e.g., news visualization, classification, learner clustering, and collaborative learning. We report some of these evaluation results.
AB - NIE (newspaper in education), which is the study utilizing newspaper-based educational resources in the classroom, has been pursued for a long time. Traditional NIE allows only one-way interaction and available media are limited. In addition, it has difficulty in capturing the latest “hot” issues or recognizing public opinions. In this paper, we propose a platform called TNIE (Twitter news in education) that utilizes Twitter in NIE. TNIE has many advantages compared to traditional NIE: (1) it classifies the latest news into various topics, (2) the classified news content can be browsed effectively via a hierarchical visualization scheme, and (3) effective discussion or debate groups can be easily formed based on the learners’ news selection. To evaluate the performance of our scheme, we implemented a prototype system and performed several experiments. According to the results, our news classification scheme achieved an 87.8 % F-measure on average, which is superior to the 78.94 % of previous studies. We also had volunteers use our prototype system and evaluate its main functions, e.g., news visualization, classification, learner clustering, and collaborative learning. We report some of these evaluation results.
KW - Collaborative learning
KW - Education using Twitter
KW - Flipped classroom
KW - Newspaper in education
KW - Social learning
KW - e-learning
UR - http://www.scopus.com/inward/record.url?scp=84974817447&partnerID=8YFLogxK
U2 - 10.1007/s11227-016-1776-x
DO - 10.1007/s11227-016-1776-x
M3 - Article
AN - SCOPUS:84974817447
SN - 0920-8542
VL - 74
SP - 3564
EP - 3582
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 8
ER -