85 citations · 87 across the 4 of their papers we have counts for
5 papers
Testing Our Foundations: Citation Trends, Errors, and Emerging Hallucinations in the Computing Education Literature
Paul Denny, Gweneth Barbre, Musa Blake +5
Accurate references are foundational to scholarly work, enabling verification, attribution, and systematic review. However, the rapid adoption of large language models has introduc…
Say What? Examining Text and Voice Input Modalities for Prompt-Based Programming in Computing Education
Kaitlin Riegel, Yan Cathy Hua, Paul Denny +4
Large language models (LLMs) are increasingly integrated into computing education, yet nearly all prior research has focused on text-based interactions. As voice-enabled interfaces…
Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis
Yan Cathy Hua, Paul Denny, Jörg Wicker +1
Aspect-based Sentiment Analysis (ABSA) is a fine-grained opinion mining approach that identifies and classifies opinions associated with specific entities (aspects) or their catego…
EduRABSA: An Education Review Dataset for Aspect-based Sentiment Analysis Tasks
Yan Cathy Hua, Paul Denny, Jörg Wicker +1
Every year, most educational institutions seek and receive an enormous volume of text feedback from students on courses, teaching, and overall experience. Yet, turning this raw fee…
A Systematic Review of Aspect-based Sentiment Analysis: Domains, Methods, and Trends
Yan Cathy Hua, Paul Denny, Katerina Taskova +1
Aspect-based sentiment analysis (ABSA) is a fine-grained type of sentiment analysis that identifies aspects and their associated opinions from a given text. With the surge of digit…