Understanding College Students' Adoption of Generative AI Through the Technology Acceptance Model 2

In today's fast-evolving technological landscape, the use of generative AI has become an intriguing subject of study, especially within academic institutions. To delve deeper into this phenomenon, we prepared a comprehensive survey titled Exploring Generative AI Use by College Students Using TAM2 Model. The aim of the survey was to explore how college students perceive, interact with, and adopt generative AI tools, leveraging the well-established Technology Acceptance Model 2 (TAM2) by Venkatesh and Davis.

The Technology Acceptance Model 2 is a framework that extends the original Technology Acceptance Model to better predict the acceptance and use of technology. It factors in additional elements such as social influence and cognitive instrumental processes. Combining this robust model with the cutting-edge field of generative AI, our survey provides valuable insights into the educational landscape and how technological advancements are being incorporated by the future workforce.

The survey draws attention to several pertinent questions designed to encompass various facets of generative AI usage. From demographic details to specific AI tools used, and even the challenges faced while utilizing these technologies, the survey covers it all. Let's explore the detailed breakdown of the survey.

The first few questions dive into the demographic details of the participants, setting the stage for a nuanced understanding of their backgrounds. Questions like What is your gender? and What is your age? help in segmenting the data to draw more precise conclusions from the survey results.

The next set of questions scrutinizes the participants' familiarity and engagement with generative AI tools. With queries like Which generative AI tools have you used? and How often do you use generative AI tools?, the survey unearths critical insights into the patterns of technology usage among college students. The inclusion of multiple-choice questions allows for a breadth of responses, providing richer data for analysis.

Further questions are crafted to gauge the participants' perceived ease of use and usefulness of generative AI tools. Do you find generative AI tools useful for your studies? and How easy is it for you to learn to use generative AI tools? are core to understanding the utility and accessibility of these technologies, key pillars of the TAM2 model.

To assess the motivational aspects, questions like What motivates you to use generative AI tools? offer a spectrum of answers ranging from curiosity to academic needs. These inputs are crucial for identifying the driving forces behind technology adoption among students, a critical area in the Technology Acceptance Model 2 framework.

Importantly, the survey also asks participants about the challenges they face while using generative AI. This encompasses technical issues, lack of knowledge, and other barriers that could impede effective usage of the technology. Questions like What challenges do you face while using generative AI tools? shed light on these hurdles, allowing for a holistic view of the adoption landscape.

Moreover, the survey includes open-ended questions, providing a platform for participants to narrate their experiences and share qualitative feedback. For instance, Can you describe a situation where generative AI helped you academically? not only captures success stories but also highlights practical applications of the technology in education.

In conclusion, our survey titled Exploring Generative AI Use by College Students Using TAM2 Model is both comprehensive and nuanced, aimed at extracting meaningful data on how college students interact with and perceive generative AI tools. Applying the Technology Acceptance Model 2 allows for a sophisticated analysis that considers various determinants of technology adoption. Whether for academic research, policy-making, or improving educational tools, the insights drawn from this survey can significantly contribute to understanding and enhancing the adoption of generative AI in education.

The adoption of generative AI by college students is not just a futuristic consideration but a present-day reality that demands our attention. Through our survey, we hope to illuminate this critical intersection of education and technology, paving the way for more informed decisions and innovative solutions in the academic domain.