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 language | English (US) |
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Title of host publication | Proceedings - IEEE 16th International Conference on Advanced Learning Technologies, ICALT 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 209-211 |
Number of pages | 3 |
ISBN (Electronic) | 9781467390415 |
DOIs | |
State | Published - Nov 28 2016 |
Event | 16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 - Austin, United States Duration: Jul 25 2016 → Jul 28 2016 |
Other
Other | 16th IEEE International Conference on Advanced Learning Technologies, ICALT 2016 |
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Country/Territory | United States |
City | Austin |
Period | 7/25/16 → 7/28/16 |
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