Persistence of Learning Style, Learning Strategy, and Personality Traits
Description
This dataset contains the result of the survey to learning styles, learning strategies, and personality traits.
The survey was executed in winter term 2023/24 and summer term 2023 in a German university (OTH Regensburg) during the course "Software Engineering".
Examined questionnaires are ILS (learning styles), LIST-K (learning strategies), and BFI-10 (personality traits).
The same three questionnaires were asked at two different survey periods three to four months apart while each survey period lasts one to two weeks. Pretest data were examined at the start of the term, while posttest data at the end.
Files:
- answer_comparison.xlsx
- persistence.xlsx
- value_comparison.xlsx
| Abbreviation LIST-K | Full name |
| CS | Cognitive strategies |
| MCS | Metacognitive strategies |
| MIR | Strategies for managing internal resources |
| MER | Strategies for managing external resources |
| CSORG | Cognitive strategies - organizing |
| CSELA | Cognitive strategies - elaborating |
| CSCCH | Cognitive strategies - critical checking |
| CSREP | Cognitive strategies - repeating |
| MCSGOP | Metacognitive strategies - goals & plans |
| MCSMON | Metacognitive strategies - monitoring |
| MCSREG | Metacognitive strategies - regulating |
| MIRATT | Strategies for managing internal resources - attention |
| MIREFF | Strategies for managing internal resources - effort |
| MIRTIM | Strategies for managing internal resources - time |
| MERLEE | Strategies for managing external resources - learning environment |
| MERLIT | Strategies for managing external resources - literature research |
| MERLWP | Strategies for managing external resources - learning with peers |
| Abbreviation ILS | Full name |
| VV | Visual Verbal |
| SG | Sequential Global |
| AR | Active Reflective |
| SI | Sensing Intuitive |
| Abbreviation BFI-10 | Full name |
| A | Agreeableness |
| C | Conscientiousness |
| E | Extraversion |
| N | Neuroticism |
| O | Openness |
The presented work is supported by the ‘German Federal Ministry of Research, Technology and Space’ (BMFTR) through the granting of the funding project HASKI (FKZ: 16DHBKI035).
Files
Files
(226.3 kB)
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md5:2ab8767dae3fc35ec8892eadcf171433
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