Building an Online Learning Question Map Through Mining Discussion Content

Hei Chia Wang, Ya Lan Zhao

研究成果: Conference contribution


Information and communication technology (ICT) has been widely accepted in education since the COVID-19 outbreak. Today, the convenience that ICT provides in education makes learning independent of time and place. However, compared to face-to-face learning, ICT online learning has the difficulty of finding student questions efficiently. One of the ways to solve this problem is through finding their questions from the online discussion content. With online learning, teachers and students usually send out questions and receive answers on a discussion board without the limitations of time or place. However, because liquid learning is quite convenient, people tend to solve problems in short online texts with a lack of detailed information to express ideas in an online environment. Therefore, the ICT online education environment may result in misunderstandings between teachers and students. For teachers and students to better understand each other’s views, this study aims to classify discussions into a hierarchical structure, named a question map, with several types of learning questions to clarify the views of teachers and students. In addition, this study attempts to extend the description of possible omissions in short texts by using external resources prior to classification. In brief, by applying short text hierarchical classification, this study constructs a question map that can highlight each student’s learning problems and inform the instructor where the main focus of the future course should be, thus improving the ICT education environment.

主出版物標題Innovative Technologies and Learning - Third International Conference, ICITL 2020, Proceedings
編輯Tien-Chi Huang, Ting-Ting Wu, João Barroso, Frode Eika Sandnes, Paulo Martins, Yueh-Min Huang
發行者Springer Science and Business Media Deutschland GmbH
出版狀態Published - 2020
事件3rd International Conference on Innovative Technologies and Learning, ICITL 2020 - Porto, Portugal
持續時間: 2020 十一月 232020 十一月 26


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12555 LNCS


Conference3rd International Conference on Innovative Technologies and Learning, ICITL 2020

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

指紋 深入研究「Building an Online Learning Question Map Through Mining Discussion Content」主題。共同形成了獨特的指紋。