The lack of institutional policies, ethical ambiguity

The gap

Evidence profile

Sourced from the recommendations and stated challenges of the source papers, classified as general, spanning 3 journals. Those papers have been cited 1 times in total.

Supporting evidence — 3 representative gaps

• Generative AI in Project-Based 3D Modelling: Effects on Creativity, Critical Thinking, and Workflow (2026) · Online Learning · cited 1× · doi

  As Gen-AI continues to play a growing role in creative processes, this study suggests that 3D modeling education should embrace Gen-AI through activities specifically tailored to fit the course’s objectives. Rather than treating Gen-AI as a replacement for traditional methods, educators should use it as a collaborative tool to support students in brainstorming ideas, solving problems, and improving workflow efficiency. By designing structured activities that combine AI-assisted creativity with hands-on technical skill development, students can benefit from AI while still building a strong foundation in essential skills. Educators and university administrators are also encouraged to explore how Gen-AI can enhance learning outcomes. By integrating AI-driven approaches, they can create learning experiences that inspire creativity and critical thinking, helping students develop both technical expertise and flexible problem-solving abilities. Looking ahead, future research should focus on identifying the best ways to incorporate Gen-AI into education while upholding academic integrity and addressing ethical concerns.

  generalrecommendations
  Keywords: students education activities educators solving creativity technical learning continues play growing role creative processes suggests
• Balancing creativity and technology: The role of Artificial Intelligence (AI) in photography classrooms (2026) · Journal of Education and Learning Technology · doi

  Based on the findings of this review, several actionable strategies are proposed to help photography educators integrate AI into teaching practices while maintaining a strong emphasis on creativity, ethics, and critical thinking. Encourage Critical Comparison Between AI and Manual Work Assignments that require students to create both AI-assisted and manually edited versions of the same image can foster reflective learning. By comparing results and discussing their decision-making processes, students become more conscious of how automation influences their aesthetic choices and technical approaches. These activities help preserve core photographic skills while promoting metacognitive awareness of the tools in use. Integrate Ethics and Authorship into the Curriculum Given the complex ethical terrain associated with AI-generated imagery, photography programs should include dedicated modules or learning units focused on authorship, manipulation, and digital ethics. This includes exploring questions such as: Who owns AI-enhanced work? How can students disclose AI usage in their creative process? What constitutes original artistic expression when AI plays a significant role? Classroom discussions, guest lectures, and case studies can reinforce students' ethical reasoning and equip them to make informed choices. Support Educator Development in AI Pedagogy Educators need institutional support and professional development to engage meaningfully with AI in the classroom. Training workshops, collaborative platforms, and communities of practice can empower instructors to remain pedagogically responsive to emerging technologies. These initiatives should emphasise both the practical use of AI tools and the philosophical questions surrounding their educational application. Design Hybrid Curricula That Retain Foundational Skills Curriculum designers should aim to create hybrid syllabi that blend AI-enhanced processes with traditional, hands-on photographic methods. This balance ensures that students retain vital tactile and observational skills—such as controlling exposure manually or working with film—while also exploring the experimental potential of AI. In doing so, students develop a dual literacy that allows them to critically engage with both analogue and digital visual cultures. Promote Conceptual Exploration Over Technical Perfection While AI can deliver technically polished results, it is the conceptual depth and personal vision behind an image that defines meaningful artistic work. Educators should, therefore, prioritise assignments that encourage storytelling, interpretive risk-taking, and creative problem-solving, even if this leads to imperfect technical execution. AI tools should be framed as options—not as solutions—that students can choose to include or reject based on their intent and message.

  generalrecommendationsevidence 5/5
  Keywords: students educators ethics technical skills tools based help photography integrate critical encourage assignments create manually
• Moral Teacher Agency in AI Integration: An Interpretative Phenomenological Study of Writing Instruction by Indonesian English as a Foreign Language (EFL) Lecturers (2026) · Asia Pacific Journal of Educators and Education · doi

  The lack of institutional policies, ethical ambiguity, unequal technological accessibility, and limited AI-based training are key challenges identified in the study. The risk of over-reliance on automated systems, which may compromise students' critical thinking and creativity, is another challenge. Ensuring equitable access to AI tools and promoting digital responsibility are also challenges faced by lecturers.

  generalstated challengesevidence 5/5
  Keywords: lack institutional policies ethical ambiguity unequal technological accessibility

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