Uncovering reviewing and reflecting behaviors from paper-based formal assessment

Ihan Hsiao, Po Kai Huang, Hannah Murphy

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

12 Scopus citations


In this paper, we study students' learning effectiveness through their use of a homegrown educational technology, Web Programming Grading Assistant (WPGA), which facilitates grading and feedback delivery of paper-based assessments. We designed a classroom study and collected data from a lowerdivision blended-instruction computer science class. We tracked and modeled students' reviewing and reflecting behaviors from WPGA. The results show that students demonstrated an effort and desire to review assessments regardless of if they were graded for academic performance or for attendance. Hardworking students achieved higher exam scores on average and were found to review their exams and the correct questions frequently. Additionally, student cohorts exhibited similar initial reviewing patterns, but different in-depth reviewing and reflecting strategies. Ultimately, this work contributes to the aggregation of multidimensional learning analytics across the physical and cybersphere.

Original languageEnglish (US)
Title of host publicationLAK 2017 Conference Proceedings - 7th International Learning Analytics and Knowledge Conference: Understanding, Informing and Improving Learning with Data
PublisherAssociation for Computing Machinery
Number of pages10
VolumePart F126742
ISBN (Electronic)9781450348706
StatePublished - Mar 13 2017
Event7th International Conference on Learning Analytics and Knowledge, LAK 2017 - Vancouver, Canada
Duration: Mar 13 2017Mar 17 2017


Other7th International Conference on Learning Analytics and Knowledge, LAK 2017


  • Blended instruction classes
  • Computing education
  • Cross lak
  • Feedback
  • Orchestration technology
  • Programming learning
  • Reflection

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software


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