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

Yongsung Kim, Een Jun Hwang, Seungmin Rho

Research output: Contribution to journalArticle

1 Citation (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 languageEnglish
Pages (from-to)1-19
Number of pages19
JournalJournal of Supercomputing
DOIs
Publication statusAccepted/In press - 2016 Jun 13

Fingerprint

Education
Visualization
Prototype
Collaborative Learning
Evaluate
Learning
Classify
Clustering
Resources
Evaluation
Interaction
Experiment
Experiments

Keywords

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

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Information Systems
  • Theoretical Computer Science

Cite this

Twitter news-in-education platform for social, collaborative, and flipped learning. / Kim, Yongsung; Hwang, Een Jun; Rho, Seungmin.

In: Journal of Supercomputing, 13.06.2016, p. 1-19.

Research output: Contribution to journalArticle

@article{d8c17a31c497468db16d7965c314558a,
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’ 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.",
keywords = "Collaborative learning, e-learning, Education using Twitter, Flipped classroom, Newspaper in education, Social learning",
author = "Yongsung Kim and Hwang, {Een Jun} and Seungmin Rho",
year = "2016",
month = "6",
day = "13",
doi = "10.1007/s11227-016-1776-x",
language = "English",
pages = "1--19",
journal = "The Journal of Supercomputing",
issn = "0920-8542",
publisher = "Springer Netherlands",

}

TY - JOUR

T1 - Twitter news-in-education platform for social, collaborative, and flipped learning

AU - Kim, Yongsung

AU - Hwang, Een Jun

AU - Rho, Seungmin

PY - 2016/6/13

Y1 - 2016/6/13

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 - e-learning

KW - Education using Twitter

KW - Flipped classroom

KW - Newspaper in education

KW - Social learning

UR - http://www.scopus.com/inward/record.url?scp=84974817447&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84974817447&partnerID=8YFLogxK

U2 - 10.1007/s11227-016-1776-x

DO - 10.1007/s11227-016-1776-x

M3 - Article

AN - SCOPUS:84974817447

SP - 1

EP - 19

JO - The Journal of Supercomputing

JF - The Journal of Supercomputing

SN - 0920-8542

ER -