Who Embraces AI—and Who Feels Left Behind? Gendered and Generational Experiences of AI Integration in Higher Education
This qualitative study of Palestinian university educators reveals that the integration of artificial intelligence is shaped by distinct gendered and generational experiences, where women and older instructors often face anxiety and exclusion while men and younger staff view AI with greater confidence, underscoring the urgent need for inclusive governance that addresses these disparities in training, decision-making, and institutional support.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Artificial intelligence is no longer a distant concept reserved for science fiction; it is a rapidly arriving reality reshaping how universities teach and learn. From generating lesson plans to grading essays, these tools promise to make academic work faster and more efficient. However, the arrival of such powerful technology does not affect everyone in the same way. Just as a new tool might feel like a helpful assistant to one person and a threat to their job to another, the experience of integrating artificial intelligence into higher education depends heavily on who is using it and the environment in which they work. Researchers have long known that gender and age can influence how people react to new technology, but they often study these factors in isolation. What remains less clear is how these personal identities mix with the rules and resources of a university to determine who feels empowered by the change and who feels left behind.
A team of researchers from the United Arab Emirates University set out to explore this complex landscape within Palestinian higher education, a region where universities operate under unique social, political, and economic pressures. They wanted to understand the human side of this technological shift: how do real teachers feel when a new system is introduced? To find out, the researchers conducted in-depth, one-on-one conversations with twenty-three university instructors from various disciplines and age groups. They did not ask for simple yes-or-no answers or statistical ratings. Instead, they invited these educators to share their stories, fears, and hopes about how artificial intelligence is changing their daily work. The goal was to listen closely to the nuances of their experiences, looking for patterns in how gender and generation shape the way teachers navigate this new world.
The study revealed that the experience of artificial intelligence is far from uniform; it is deeply personal and often divided along lines of gender and age, yet these divisions are not absolute rules. Many of the female instructors described a sense of anxiety and professional displacement. They worried that the new tools might overshadow the most human parts of their jobs, such as listening to students, offering emotional support, and building relationships. One instructor noted that students seemed to trust the artificial intelligence more than her, making her own explanations feel optional and replaceable. For many women, the technology felt like it was turning teaching into a mechanical exercise, stripping away the care and dialogue that define their profession. They often felt excluded from the decisions about how these tools were chosen and implemented, receiving instructions secondhand rather than being part of the planning.
In contrast, many of the male instructors tended to view the technology as a tool for efficiency and control. They spoke about using artificial intelligence to organize their tasks, check data, and save time, seeing it as a way to strengthen their professional work rather than replace it. They felt more confident in their ability to manage the technology and often positioned themselves as the ones in charge of how it was used. However, this confidence was not universal among men; some senior male faculty members also expressed concerns about surveillance and the loss of human judgment, suggesting that even those who felt comfortable with the tools were not entirely without worry.
Age played a significant role in shaping these perspectives as well. Younger educators, who grew up with digital technology as a constant part of their lives, often described artificial intelligence as a familiar partner. They saw it as a collaborative force that could help them be more creative and spend less time on repetitive tasks, allowing them to focus on more meaningful interactions with students. For them, the technology felt like a natural extension of their existing skills. Older educators, drawing on years of experience with previous waves of technological change, approached the new tools with a more cautious eye. They did not necessarily reject the technology, but they questioned its long-term value and worried about issues like privacy and the erosion of professional judgment. They had seen many technological promises come and go, so they treated the new systems with a respectful distance, asking whether the speed and efficiency they offered were worth the potential cost to the human elements of education.
Crucially, the researchers found that these feelings were not just about personal attitudes or technical skills. The most important factor determining whether an educator felt empowered or excluded was the support they received from their institution. When universities provided clear training, ongoing mentoring, and a genuine invitation to participate in decision-making, teachers of all genders and ages felt more confident and included. They felt like partners in the change rather than passive observers. Conversely, when tools were introduced suddenly without preparation, or when training was given only to a select few, it created a sense of fragmentation and anxiety. Teachers found themselves expected to adapt to new systems without the necessary resources or the authority to influence how those systems worked.
The study highlights a troubling pattern where those who are expected to do the work of implementing technology are often the ones left out of the conversation about how it should be used. Female instructors and younger educators, despite often possessing the digital skills to use these tools, frequently reported being excluded from leadership roles and high-level decisions. They felt that their expertise in teaching, ethics, and human relationships was undervalued compared to the technical fluency of others. The researchers concluded that for artificial intelligence to be integrated fairly, universities must recognize that expertise comes in many forms. It is not enough to simply provide access to the software; institutions must ensure that educators from all backgrounds have a voice in shaping how these tools are used, so that the technology serves to expand human potential rather than deepen existing inequalities.
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