Learning by Reviewing Paper-Based Programming Assessments

Yancy Vance Paredes, David Azcona, Ihan Hsiao, Alan Smeaton

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

3 Scopus citations


This paper presents a retrospective analysis of students’ use of self-regulated learning strategies while using an educational technology that connects physical and digital learning spaces. A classroom study was carried out in a Data Structures & Algorithms course offered by the School of Computer Science. Students’ reviewing behaviors were logged and the associated learning impacts were analyzed by monitoring their progress throughout the course. The study confirmed that students who had an improvement in their performance spent more time and effort reviewing formal assessments, particularly their mistakes. These students also demonstrated consistency in their reviewing behavior throughout the semester. In contrast, students who fell behind in class ineffectively reviewed their graded assessments by focusing mostly on what they already knew instead of their knowledge misconceptions.

Original languageEnglish (US)
Title of host publicationLifelong Technology-Enhanced Learning - 13th European Conference on Technology Enhanced Learning, EC-TEL 2018, Proceedings
EditorsRaymond Elferink, Hendrik Drachsler, Viktoria Pammer-Schindler, Mar Perez-Sanagustin, Maren Scheffel
PublisherSpringer Verlag
Number of pages14
ISBN (Print)9783319985718
StatePublished - 2018
Event13th European Conference on Technology Enhanced Learning, EC-TEL 2018 - Leeds, United Kingdom
Duration: Sep 3 2018Sep 6 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11082 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th European Conference on Technology Enhanced Learning, EC-TEL 2018
Country/TerritoryUnited Kingdom


  • Behavioral analytics
  • Educational data mining
  • Educational technology
  • Programming learning
  • Reviewing behavior

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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