• DocumentCode
    3656383
  • Title

    Exploring Constructive Learning Activity in Online Programming Discussion Forums

  • Author

    I. Han Hsiao

  • Author_Institution
    Sch. of Comput., Inf. &
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    223
  • Lastpage
    227
  • Abstract
    In this paper, we investigated constructive engagement activities in an online programming discussion forum. We engineered features according to the forum content and built a logistic regression model based on the underlined cognitive processes in constructive learning activities. We hypothesized that performing any engaging activities after reading constructive content contributes to learning. This work aimed to discover such behavior in a free-formed online discussion setting and assess the impacts. Evaluation results revealed and reconfirmed the value of content constructiveness in the discussion forum. Our findings also suggested that detecting constructive content could be a helpful classifier in discerning relevant information to the users and in turn creating opportunities to optimize learning.
  • Keywords
    "Discussion forums","Semantics","Programming profession","Artificial intelligence","Education","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICALT.2015.59
  • Filename
    7265310