Aug 2026· Discover Education· Vol 5· 0 citations· 57 references
Teaching and Learning Programming
TL;DR
The potential of AI-enhanced project-based learning to support students’ development and application of AI literacy while underscoring the need for instructional scaffolding to guide students’ effective and ethical use of AI as a collaborative partner in K-12 learning environments is highlighted.
Abstract
Despite growing emphasis on AI literacy education, empirical research examining how secondary students engage with and apply AI concepts in authentic project-based learning environments remains limited, particularly among students from historically underserved communities. This mixed-methods study examined African American high school students’ experiences in an AI-enhanced mobile app design project in which generative AI served as a collaborative design partner. Grounded in AI literacy frameworks, the program combined foundational AI instruction with a four-month project-based experience focused on designing AI-enhanced mobile applications. Qualitative data included focus group interviews, student design artifacts, presentations, and researcher field notes, while quantitative data included pre- and post-AI literacy assessments and surveys. Analysis of student design artifacts and presentations revealed that participants demonstrated emerging understanding of AI concepts by proposing AI-enabled features such as recommendation systems, chatbots, and information verification tools within their mobile app designs. Survey results indicated improvements in professional skills, particularly in collaboration, communication, and problem-solving. Knowledge assessment results showed modest but non-significant changes in students’ conceptual AI knowledge, with variation in individual learning trajectories. The study also identified several instructional challenges, including differences in students’ technological readiness and tensions surrounding AI use, ranging from overreliance to avoidance of AI use due to concerns about academic penalties. These findings highlight the potential of AI-enhanced project-based learning to support students’ development and application of AI literacy while underscoring the need for instructional scaffolding to guide students’ effective and ethical use of AI as a collaborative partner in K-12 learning environments.
This study examines a structured AI-supported instructional model in an undergraduate marketing and e-commerce course aimed at developing students’ critical AI literacy and evaluative judgment. Over three semesters, students completed four assignments in which they generated AI-produced memoranda, compared them with ex...
A. Joyal· Global Journal of Management...· 0 citations
This paper reports findings from a mixed-methods study examining the integration of Generative Artificial Intelligence (GenAI) literacy within an undergraduate Business Management programme. Drawing on Zhou and Schofield’s (2024) AI literacy framework, AI-integrated learning activities were embedded across each year of...
Lilian N. Schofield, Xue Zhou, Georgy Petrov et al.· Journal of Learning Developm...· 0 citations
A language teacher’s journey toward AI awareness and integration within professional development practices is investigated, highlighting the importance of positioning AI within reflective and human-centered approaches to teacher professional development rather than viewing it solely as a technical innovation.
Jaouhara ELmzandi, Soukaina Laayadi, Kamal Barbara et al.· British Journal of Teacher E...· 0 citations
This pilot study examined the preliminary effectiveness of an asynchronous professional development course designed to increase educators’ comfort with AI, shift their perceptions, and expand access to instructional resources, finding strong positive relationships between perceptions, resource access, and comfort.
Katelyn R. Stalboerger, Shu-Qi Du, David T. Marshall et al.· Online Learning· 1 citation
A ten-step teaching framework for AI-supported creative interactive content design is proposed, aimed at fostering pedagogical innovation while preserving critical thinking, creativity, and student authorship.
Belén Mainer, Ana Pérez-Escoda· Education sciences· 0 citations
Students’ selective and context-dependent AI use can be interpreted as boundary-setting around when and how AI participates in the design process, and value is suggested in a judgment-centered, process-based approach to AI pedagogy that emphasizes accountability and reflective decision-making.
M. B. Huh, Alp Tural, Elif Tural· Education sciences· 0 citations
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.