Personalized guidance on how to review paper-based assessments

Yancy Vance Paredes, Ihan Hsiao, Yiling Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Providing feedback is one of the most effective methods to enhance student's learning. The absence of readily available data on paper-based assessments makes it impossible to know whether students received feedback and whether they have acted upon it or not. In our institution, we have been using a homegrown educational technology to support blended-instruction classes by integrating physical and cyberlearning analytics. Using the collected digital footprints of students, we were able to analyze their reviewing behavior. A study was conducted to investigate the effects of personalizing the reviewing sequence of paper-based assessments. Each student is presented with a personalized sequence of questions to review based on the importance of their mistakes. We found that the students who followed the suggested sequence improved significantly higher in the succeeding exam than those who reviewed the assessment arbitrarily or did not have any reviewing strategy. Results showed that personalized guidance on reviewing graded assessments effectively helped improve student performance.

Original languageEnglish (US)
Title of host publicationICCE 2018 - 26th International Conference on Computers in Education, Main Conference Proceedings
EditorsMa. Mercedes T. Rodrigo, Jie-Chi Yang, Lung-Hsiang Wong, Maiga Chang
PublisherAsia-Pacific Society for Computers in Education
Number of pages9
ISBN (Electronic)9789869401289
StatePublished - Nov 24 2018
Event26th International Conference on Computers in Education, ICCE 2018 - Metro Manila, Philippines
Duration: Nov 26 2018Nov 30 2018


Other26th International Conference on Computers in Education, ICCE 2018
CityMetro Manila


  • Formal assessment
  • Multimodal learning analytics
  • Personalized feedback
  • Personalized guidance
  • Personalized learning
  • Programming learning

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science Applications
  • Education

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