Abstract
A process for analyzing log files collected from open-ended learning environments is developed and tested on a virtual lab problem involving reaction stoichiometry. The process utilizes a set of visualization tools that, by grouping student actions in a hierarchical manner, helps experts make sense of the linear list of student actions recorded in a raw log file. Such analysis of an initial set of log files is then used to develop a rule-based system that can automatically classify the problem-solving strategies being engaged in by the students. The strategies assigned by the resulting rule-based system compare well with strategy codes assigned by experts.
| Original language | English |
|---|---|
| Pages (from-to) | 610-616 |
| Number of pages | 7 |
| Journal | Journal of Chemical Education |
| Volume | 92 |
| Issue number | 4 |
| DOIs | |
| State | Published - 14 Apr 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 4 Quality Education
Keywords
- Chemical Education Research
- Computer-Based Learning
- First-Year Undergraduate/General
- High School/Introductory Chemistry
- Inquiry-Based/Discovery Learning
- Internet/Web-Based Learning
- Stoichiometry
ASJC Scopus subject areas
- General Chemistry
- Education
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