Using adaptive e-news to improve undergraduate programming courses with hybrid format

G. D. Chen, C. K. Chang, C. Y. Wang

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

With the growing popularity of computers and the Internet, most teachers are taking advantage of Internet functions to assist in both teaching and student learning. However, students only login to the assisted learning system once or twice a week on average to surf for relevant references, participate in discussions, or hand in assignments, even though information and interaction are greatly enhanced by these online services. Therefore, increasing the transfer rate of useful information and interaction during the course period would help students learn. To this end, we designed an e-news delivery system that sends personalized e-mails to every student's mailbox to make information access and peer interaction more convenient and efficient. Through the daily habit of using e-mail, students can receive the latest information, new instructions or peer discussions early. To encourage usage of the system, a user friendly interface was designed. The e-news system takes advantage of webpage hyperlinks to allow students to click on interesting topics while reading e-news; doing so will cause another window to pop-up with detailed content retrieved from the web-based learning system. A mouse-click allows students to login to the web-based learning system and extract the details of the chosen topic. To enhance the efficiency of e-news, learners' needs and interests were taken into consideration when forming the e-news content. Students' learning status and reading preferences are assessed to determine which information or content to include in the e-news. Experiment results reveal that e-news and personalized information greatly promote the reading of new information and participation in online activities.

Original languageEnglish
Pages (from-to)239-251
Number of pages13
JournalComputers and Education
Volume51
Issue number1
DOIs
StatePublished - Aug 2008

Keywords

  • Adaptive learning support
  • e-News
  • Online learning behaviour analysis
  • Web-based learning system

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