Teaching and Learning Programming

Fine-tuned language model provides automated question answering in large calculus courses, achieving 75% accuracy. Hybrid human-AI workflows maintain instructor oversight while scaling support.

Panel discussion on generative AI's multidimensional impact on HCI globally: education, industry dynamics, and funding across diverse regions and cultures.

Study comparing semantics-first, block-based, and textual programming for secondary students finds that making program state visible during coding yields significantly better task performance.

Study develops pre-course aptitude test to predict introductory programming performance and identify students needing additional support using machine learning models.

Study of 107 K-3 teachers reveals 80% use AI for instructional materials but express concerns about student writing tasks due to developmental readiness and creativity loss.

Web-based AI system integrating code execution, error detection, and AI explanations across multiple languages to improve programmer comprehension and debugging efficiency

Learn how experts validated a comprehensive AI engineering curriculum design, balancing interdisciplinary education with practical implementation challenges in higher education.

Design-based research evaluates GenAI literacy training for teacher education students, showing improvements in self-efficacy and critical engagement with AI tools.

Parental support for AI tools indirectly influences children's informal English learning through their perceived value and effort expectations for using AI technology.

Survey of 583 Chinese undergraduates validates the UNESCO AI Competency Framework, revealing stronger performance in ethics and mindset than technical skills, contradicting national priorities.

Study of how micro:bit-based computational thinking activities affect pre-service mathematics teachers' content knowledge, attitudes, and emotions toward teaching K-12 mathematics.

Platform design for teleoperated social robots in classrooms, enabling safe child-robot interactions and iterative prototyping of educational robot applications.

Design-based study of a play-centered AI literacy curriculum for early childhood, examining teacher co-design, implementation feasibility, and emerging design principles for sustainable AI education.

Study of 46 Turkish language teacher candidates reveals predominantly positive metaphorical views of AI in education, with 78% expressing optimism, but highlights need for ethics education.

Mixed methods study of 723 prospective teachers finds GenAI acceptance and AI literacy vary by discipline, grade, tool use, and proficiency, with formal training increasing literacy.

Study of 124 Dutch L1 teachers' beliefs about generative AI in language education, examining acceptance levels, concerns, and opportunities for integration in writing, linguistics, and literature.

University course integrating AI/ML software development with educational research training, producing tools for K-12 instruction through authentic school partnerships.

Investigation of gamified micro:bit low-code programming for computational thinking readiness in sustainable mathematics education among P-12 students and pre-service teachers.

Doctoral research examining how student prompting behaviours with Large Language Models correlate with learning outcomes in programming, developing behavioural models and adaptive feedback systems.

Study reveals Grade 11 students struggle with fundamental programming concepts like variables and loops before formal instruction, suggesting need for scaffolded teaching approaches.