# Emerging Drivers of Adoption of Generative AI Technology in Education: A Review
## 4 The Three-Tier Framework for GenAI Adoption in Education
[PERSON] and [PERSON] [65] report that while autonomy, competence, and relatedness strongly influence BI and usage, FCs lack significant impact on usage intentions. [PERSON] et al. [31] and [PERSON] et al. [50] similarly find no statistical association between FCs and BI, emphasizing that users may prioritize intrinsic motivators like performance expectancy and habit. [PERSON] et al. [32] further note that while BI strongly predicts usage, FCs do not directly influence BI. \\ \(\bullet\) The \(\  
**The Three-Tier Framework for GenAI Technology Adoption in Education**  
These findings indicate that the role of FCs in GenAI adoption may depend on contextual factors, such as resource availability and the prominence of other adoption drivers. While FCs may be less influential in resource-rich environments, they remain essential in under-resourced settings where external support is critical for bridging the gap between intention and use. * Rationale  
Facilitating Conditions serve as a moderate yet fundamental predictor of GenAI adoption by enabling users to translate intentions into actual use. In educational settings, access to resources such as platforms, training, and institutional support is crucial, especially in under-resourced environments, where these conditions can bridge gaps and remove barriers to adoption. While their impact may be less pronounced in resource-rich settings where intrinsic motivators dominate, Facilitating Conditions remain critical for ensuring equitable adoption. By providing the necessary tools and support, FCs empower users--regardless of motivation levels--to fully engage with GenAI technologies, making them a vital component of the adoption process. Social Influence
* Definition  
Social Influence refers to the degree to which individuals perceive that important others (such as peers, instructors, or societal norms) believe they should use GenAI technologies. It reflects the impact of social pressure or encouragement on an individual's decision to adopt and use technology. * Empirical Evidence  
Numerous studies highlight the significant role of Social Influence (SI) in shaping Behavioral Intention (BI) to adopt GenAI technologies. [PERSON] et al. [34], [PERSON] [42], [PERSON] et al. [45], and [PERSON] et al. [50] report that SI positively and significantly impacts BI, emphasizing the value of external encouragement and societal norms in adoption decisions. [PERSON] and [PERSON] [33], [PERSON] et al. [35], and [PERSON] and [PERSON] [48] further corroborate these findings, illustrating that SI, often reflected through peer or societal expectations, plays a crucial role in adoption decisions. Additionally, [PERSON] and [PERSON] [65] find SI to significantly influence both BI and usage intentions, particularly in environments where social validation drives behavior. Conversely, several studies challenge the influence of Social Influence in predicting GenAI adoption. [PERSON] et al. [31] report no significant impact of SI on BI, with factors like performance expectancy and habit being more influential. Similarly, [PERSON] et al. [43] and [PERSON] et al. [32] found minimal or negligible effects of SI, highlighting that intrinsic motivators, such as perceived benefits and personal habits, often outweigh external social pressures. These findings suggest that while Social Influence can play a pivotal role in specific cultural or institutional contexts, its overall impact on GenAI adoption is inconsistent and highly context-dependent. * Rationale  
Social Influence emerges as a moderate predictor of GenAI adoption, reflecting its context-dependent nature. In educational settings, peers, instructors, and societal expectations can significantly shape individuals' decisions to adopt and use GenAI technologies. This influence is particularly pronounced in collectivist cultures, where group norms and social validation strongly motivate behavior. In these contexts, SI enhances both initial adoption and continued use, as individuals are driven by the expectations and encouragement of their social circles.