본문 바로가기
  • Home

Efficient Assessment and Recommendations System using IRT and Data Mining

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(4), pp.109-118
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Cheonshik Kim 1 Myunghee Jung 2

1세종대학교
2안양대학교

Candidate

ABSTRACT

E-learning method has many advantages that supplement the shortfalls of offline education. For this reason, today's offline educational institutions adopted the online education technique to improve learning effectiveness. Recently, general universities have partially adopted online learning. As a result, a study is searching for ways to improve the effectiveness of education by copying the merits of the existing offline education onto the online education. Thus a proper evaluation of learners and a feedback provision are considered necessary to improve the effectiveness of online learning. This study aims to suggest a model that will improve learning efficiency by adapting the advantages of offline education to online learning. To evaluate properly, this study conducted Item Response Test to examine the learners and finally ensure them an adequate level of education. Also, this study suggested a way to enhance learning efficiency by finding out each learner's study habits and to address the weaknesses of online learning. It is expected that the suggested method would be helpful in bettering learner's ability to study in school environment.

Citation status

* References for papers published after 2023 are currently being built.