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rDSA : an intelligent tool for data science assignments
Pierpaolo Vittorini1, Alessandra Galassi1
1Department of Life, Health and Environmental Sciences, University of L'Aquila, P.le S. Tommasi, 1, Coppito, L'Aquila 67100 Italy.
Multimedia Tools and Applications
|November 14, 2022
Summary
The rDSA tool provides programming students with immediate feedback on R language statistical analyses and natural language result commenting, enhancing assignment completion and learning outcomes.
Area of Science:
- Computer Science Education
- Data Science Education
- Educational Technology
Background:
- Programming education tools can improve assignment grading and student feedback.
- Students often need support in executing statistical analyses and interpreting results in R.
- Effective feedback mechanisms are crucial for student learning in programming courses.
Purpose of the Study:
- To describe the design, development, and evaluation of the rDSA tool.
- To focus on the feedback mechanisms within rDSA for R language assignments.
- To assess the impact of rDSA on student engagement and learning outcomes.
Main Methods:
- The rDSA tool was designed and developed iteratively.
- The tool's feedback system was evaluated over several years.
- Two studies were conducted to assess the tool's effectiveness.
Main Results:
- The rDSA tool supports R language statistical analysis and natural language commenting.
- Student feedback mechanisms were refined through iterative design and evaluation.
- Studies demonstrated increased student engagement and improved learning outcomes with rDSA use.
Conclusions:
- The rDSA tool effectively supports programming education in R.
- The tool's feedback system is a key factor in its success.
- Future work may involve adapting rDSA for similar courses and expanding its capabilities.
Keywords:
Automated assessment systemsAutomated feedback generationComputer-assisted instructionIntelligent tutoring systemsInteractive learning environmentsTechnology-enhanced learningMore Related Videos
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