Twitter news-in-education platform for social, collaborative, and flipped learning

Yongsung Kim; Eenjun Hwang; Seungmin Rho

doi:10.1007/s11227-016-1776-x

Twitter news-in-education platform for social, collaborative, and flipped learning

Yongsung Kim, Eenjun Hwang, Seungmin Rho

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	3564-3582
Number of pages	19
Journal	Journal of Supercomputing
Volume	74
Issue number	8
DOIs	https://doi.org/10.1007/s11227-016-1776-x
Publication status	Published - 2018 Aug 1

Bibliographical note

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.

Keywords

Collaborative learning
Education using Twitter
Flipped classroom
Newspaper in education
Social learning
e-learning

ASJC Scopus subject areas

Software
Theoretical Computer Science
Information Systems
Hardware and Architecture

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10.1007/s11227-016-1776-x

Cite this

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title = "Twitter news-in-education platform for social, collaborative, and flipped learning",

abstract = "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{\textquoteright} 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.",

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Twitter news-in-education platform for social, collaborative, and flipped learning

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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