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RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
RECIPE4U includes comprehensive records of these interactions, including conversation logs, students' intent, students' self-rated satisfaction, and students' essay edit histories.
FABRIC: Automated Scoring and Feedback Generation for Essays
The second component is CASE, a Corruption-based Augmentation Strategy for Essays, with which we can improve the accuracy of the baseline model by 45. 44%.
ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education
We analyze students' usage patterns and perceptions regarding generative AI with respect to their intent and satisfaction.
Insight-centric Visualization Recommendation
This global ranking makes it difficult and time-consuming for users to find the most interesting or relevant insights.
Personalized Visualization Recommendation
Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset and not the actual user and their past visualization feedback.
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data
Finally, we observed a strong preference by the human experts in our user study towards the visualizations recommended by our ML-based system as opposed to the rule-based system (5. 92 from a 7-point Likert scale compared to only 3. 45).
Evaluating Visual Representations for Topic Understanding and Their Effects on Manually Generated Topic Labels
Probabilistic topic models are important tools for indexing, summarizing, and analyzing large document collections by their themes.
