Minimise efficacy burden and foster trust elements such as data security and privacy to support AI adoption¶

Strategy · All strategies
Evidence · 3 claims (2 for, 1 mixed) · 4 studies (3 qualitative, 1 associational), q2–q3 · 0 of 4 report an effect size · 2 claims rest on one study

Description¶

The article recommends that universities, policymakers and Big Tech support successful AI adoption among Gen Z students by reducing the demands placed on learners' self-efficacy and by building trust. It states they "should minimise the burden on efficacy and foster elements of trust, such as data security and privacy". This follows directly from the finding that self-efficacy and perceived trust predict behavioural intention.

Design Implications¶

Context¶

Requirements¶

• Requires attention to the efficacy and trust factors that the study found predictive of behavioural intention

Constraints¶

• The authors caution that the findings may reflect Gen Z's intention to adopt technology beyond the academic sphere

Target Learners¶

• Gen Z university students

Target Learning Goals¶

• Adoption and sustained use of AI tools for learning

Affordances¶

• Extended Utaut Se Pt Gen Z Ai Adoption

Claims¶

• Self-efficacy, perceived trust and performance expectancy influence Gen Z students' behavioural intention to adopt AI [+W]
• Privacy and data protection was a critical governance theme, raised by over half the expert panel [+W]
• Current district privacy and security approaches foster superficial compliance over rigorous safeguards and provide minimal visibility into how student data are used [~W]

Related Strategies¶

Examples¶

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Key Sources¶

• Mohd Shafie Rosli, Nor Shela Saleh, Azlah Md. Ali, Suaibah Abu Bakar. (2026). Exploring the Factors Influencing Artificial Intelligence Adoption among Gen Z University Students: the Role of Self-Efficacy and Perceived Trust. Journal for STEM Education Research. https://doi.org/10.1007/s41979-025-00171-2