A Learning assistance tool for enhancing ICT literacy of elementary school students

Chenn Jung Huang*, Ming Chou Liu, Kuo En Chang, Yao Ting Sung, Tz Hau Huang, Chun Hua Chen, Hung Yen Shen, Kuo Liang Huang, Jia Jian Liao, Kai Wen Hu, Yun Cheng Luo, Tun Yu Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


With rapid advances in the development of information technology, information access has become central to life in the 21st century. In recent years, the development of useful learning-assistance systems has become a popular topic in literature. Learners can benefit from guidance provided by a tool that assists learning when a student has trouble using an e-learning platform. An effective learning-assistance tool can reduce teacher workload and increase the time spent giving individual guidance to learners who fall behind. However, few machine-learning techniques have been used as learning-assistance tools in literature to determine learner status or provide feedback to learners and teachers. Therefore, this work employs a learning-assistance tool that uses learning-reinforcement techniques to continuously interact with an environment and provides learners with suitable and timely feedback to guide students through difficulties, inspire them, and help them complete assigned tasks. The learning-assistance tool can promote learners' information and communication technology (ICT) literacy and assist learners in overcoming difficulties. Furthermore, teacher workload is significantly reduced because appropriate hints or feedback are automatically delivered to learners without teacher involvement.

Original languageEnglish
Pages (from-to)126-138
Number of pages13
JournalEducational Technology and Society
Issue number3
Publication statusPublished - 2010


  • Diagnosis
  • Information and communication technology
  • Learning assistant
  • Machine learning
  • Reinforcement learning

ASJC Scopus subject areas

  • Education
  • Sociology and Political Science
  • General Engineering


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