Lessons learned from students' cheat sheets: Generic models for designing programming study guides

Ihan Hsiao, Claudia Lopez

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

2 Scopus citations

Abstract

We survey across generations of work in authorized cheat sheets, and emphasize on extracting generic features for designing one. We construct generic models to address cognitive aspects of learning and focus on the content of knowledge components in the domain of programming language learning. We evaluate the models with real classroom study data and found that the amount of notes on a cheat sheet is associated with gains in students' declarative knowledge, but not procedural knowledge. We also discovered that working in creating new cheat sheets can help students to achieve better exam grades accumulatively beyond and above the effect of their performance in a prior exam. We discuss how these findings can guide the design of technology-based study guides.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages209-211
Number of pages3
ISBN (Electronic)9781467390415
DOIs
StatePublished - Nov 28 2016
Event16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States
Duration: Jul 25 2016Jul 28 2016

Other

Other16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016
CountryUnited States
CityAustin
Period7/25/167/28/16

Keywords

  • Cheat sheet
  • Exam preparation
  • Procedural knowledge
  • Programming
  • Study guide

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education
  • Computer Networks and Communications
  • Computer Science Applications

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