Kenneth Angelikas
Papers
1
Total Citations
27
H-Index
1
About
Kenneth Angelikas is a leading voice in computing education research, exploring how large multimodal models—including ChatGPT—are transforming the way students learn to code. His work investigates the intersection of artificial intelligence and pedagogy, with a focus on how AI tools can both support and challenge traditional teaching methods. Angelikas’s most-cited paper, “More Robots are Coming: Large Multimodal Models (ChatGPT) can Solve Visually Diverse Images of Parsons Problems” (2024, 27 citations), demonstrates that AI can now interpret complex visual programming tasks, raising critical questions about assessment design and academic integrity. His broader contributions show that large language models can explain code more effectively than students, perform at or above class averages on multiple-choice questions, and generate code that passes automated tests in introductory courses. This research has profound implications for curriculum development, prompting educators to rethink how they teach programming in an AI-augmented world. Angelikas’s work is widely cited and discussed, positioning him as a key figure shaping the future of computing education.
Research Focus
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Top Papers
- 1