A framework mapping nine prompt patterns to productive struggle and evaluative judgement for AI-supported secure coding education.
Computers and Education: Artificial Intelligence 4, 100127
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
Student-facilitated workshops in one design class produced AI policies highlighting double standards in disclosure requirements between students and faculty, demonstrating value in participatory governance.
Survey of Chinese math teacher trainees finds basic AI-TPACK levels, self-efficacy helps, and strong teaching beliefs may hinder progress.
citing papers explorer
-
Participatory, not Punitive: Student-Driven AI Policy Recommendations in a Design Classroom
Student-facilitated workshops in one design class produced AI policies highlighting double standards in disclosure requirements between students and faculty, demonstrating value in participatory governance.