The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement.

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).
AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.
Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.
AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.
Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.
Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.
Choosing AI tools with accessibility and assistive technology compatibility in mind.
Training workers and learners to create, check and improve accessible AI-generated content.
Making support pathways clear for people who experience barriers using AI tools.
Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

                        Article Publication Date

                        24-Jul-2026

            Media Contact
                                Sharla Hooper
                University of Phoenix
            sharla.hooper@phoenix.edu
                        Article Publication Date

                        24-Jul-2026
            Tags
                          /Applied sciences and engineering/Computer science/Artificial intelligence
                              /Social sciences/Social research
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		https://scienmag.com/university-of-phoenix-researchers-explore-doctoral-students-perspectives-on-ai-chatbots-and-chatgpt-in-higher-education/
		
		
		Tue, 09 Jun 2026 19:24:22 +0000
				
		
		
		
		
		
		
		
		
		
		
		
		
		https://scienmag.com/university-of-phoenix-researchers-explore-doctoral-students-perspectives-on-ai-chatbots-and-chatgpt-in-higher-education/

					
										In an era defined by rapid technological advancement, the interface between artificial intelligence (AI) and higher education has become an epicenter of scholarly discussions and practical exploration. A groundbreaking study conducted by researchers at the University of Phoenix College of Doctoral Studies sheds light on graduate students’ perceptions of AI chatbots, with a focus on the widely used ChatGPT platform. Published in the International Journal of AI in Pedagogy, Innovation, and Learning Futures, this research provides a fresh quantitative analysis of how doctoral students engage with AI chatbots amid ethical debates and academic integrity concerns.

The study collected and analyzed data from 54 doctoral candidates enrolled at a private online university in the United States. Employing rigorous survey methodologies, the authors sought to unravel the intricate dynamics between students’ attitudes toward AI and their actual application of chatbot technologies within academic settings. It probed several dimensions, including ethical considerations, perceived academic value, and disciplinary differences, offering a nuanced portrayal of AI’s embedding in contemporary pedagogy.
One of the core revelations of the study is the strong positive correlation between favorable attitudes towards AI chatbot utilization and increased frequency of ChatGPT use. This suggests that students who view chatbots as valuable academic tools are more inclined to integrate these systems into their research, writing, and learning processes. Such findings challenge traditional apprehensions around AI, underscoring a shift in the academic mindset toward embracing technological facilitators in scholarly work.
Furthermore, students who perceive AI-generated responses as superior to human-generated content tend to report higher usage levels of ChatGPT. This perception, grounded in the sophistication of natural language processing models and the expansive knowledge bases underpinning these AI systems, highlights a growing trust in chatbot accuracy and relevance. The endorsement of AI’s output quality signals a transformative moment for educational institutions concerning how digital tools are evaluated and adopted.
The investigation also unearthed pronounced variations in attitudes across different academic disciplines. While the research did not specify individual fields, the implication is clear: disciplinary cultures and epistemologies significantly influence receptivity to AI. For example, fields with a strong tradition of quantitative analysis may display different engagement patterns compared to those rooted in qualitative inquiry, prompting the need for tailored institutional policies that account for such disciplinary nuances.
Interestingly, the study found no statistically significant differences in AI chatbot attitudes based on gender, a result that challenges some earlier assumptions about demographic divides in technology adoption. This aspect of the findings suggests that conversations around AI acceptance in academia transcend gender lines, centering instead on other factors such as academic culture, pedagogical strategies, or individual learning preferences.
The implications of these findings are profound for educational policy makers and institutional leaders. The research advocates for discipline-sensitive guidelines that foster ethical AI use while upholding academic integrity. This dual focus is crucial as AI tools become increasingly sophisticated and ubiquitous, raising complex questions about authorship, originality, and the nature of learning itself.
Suchitra Veera, DBA, lead author and faculty member in the College of Business and Information Technology at the University of Phoenix, articulates the urgency of the moment: “AI is rapidly reshaping how students approach research, writing, and learning.” She emphasizes the importance of crafting institutional frameworks that neither stifle innovation nor compromise core educational values but instead harness AI’s potential responsibly and ethically.
Members of the research team have also shared their insights at the 2025 Knowledge Without Boundaries Conference, hosted by the University of Phoenix, reflecting an active engagement with broader academic dialogues on AI’s role in education. Their participation underscores the commitment to advancing interdisciplinary understanding of AI technologies as tools that can augment but not replace human scholarly endeavor.
The University of Phoenix’s Center for Educational and Instructional Technology Research (CEITR), where the study’s authors affiliate, continues to spearhead investigations into AI’s impact on digital learning environments. Their research agenda spans human and artificial cognition, AI-enhanced pedagogical models, administrative applications, and cross-disciplinary AI integration, positioning them at the forefront of educational innovation research.
This particular study, characterized by its quantitative survey approach and focus on graduate and doctoral students, offers a window into the evolving landscape of AI acceptance. With the article published on March 16, 2026, the timing coincides with accelerated AI adaptation in higher education, marking a critical juncture for both scholars and institutional policies.
Given the convergence of AI capabilities with education’s foundational goals, this research underscores a vital transition. Universities must navigate the balance between leveraging AI’s transformative power and safeguarding the rigor, ethics, and authenticity that underpin academic excellence. The nuanced insights presented herein promise to inform the ongoing discourse on AI’s rightful place in the academy.
As AI chatbots like ChatGPT become embedded in the academic fabric, understanding student attitudes and usage patterns is not merely an academic exercise but a necessary step toward shaping the future of education. The University of Phoenix’s study exemplifies how empirical research can guide informed policy-making, ensuring that AI serves as a catalyst for enhanced learning rather than a source of ethical ambiguity or inequality.
In conclusion, the University of Phoenix’s investigation into graduate students’ attitudes toward AI chatbots illuminates critical dimensions of AI integration in higher education. By revealing variances in perception tied to disciplinary perspectives and reinforcing the absence of gender disparity, the study advocates for thoughtful, tailored approaches to AI policy that encourage responsible use while maintaining academic standards. As institutions worldwide grapple with AI’s disruptive potential, these findings offer a foundational blueprint for fostering innovation grounded in ethical practice.

Subject of Research: Graduate and doctoral students
Article Title: Relationship between Students’ Attitudes towards Artificial Intelligence (AI) and their usage of AI Chatbots
News Publication Date: March 16, 2026
Web References: http://dx.doi.org/10.46787/ijaipil.v2026i1.6968

Keywords
Graduate education, Education technology, Artificial intelligence, AI chatbots, Academic integrity, Higher education, ChatGPT usage, Educational ethics, Discipline-sensitive policy, Digital learning environments, AI in pedagogy, Institutional guidelines
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		165093	
		
		
		https://scienmag.com/university-of-phoenix-researchers-explore-academic-applications-of-generative-ai-in-higher-education/
		
		
		Sat, 21 Mar 2026 16:35:26 +0000
				
		
		
		
		
		
		
		
		
		
		
		
		
		https://scienmag.com/university-of-phoenix-researchers-explore-academic-applications-of-generative-ai-in-higher-education/

					
										In an era marked by rapid technological advancements, the academic landscape is undergoing a profound transformation driven by generative artificial intelligence (GenAI). Recent scholarly work conducted by researchers Patricia Akojie, Marlene Blake, and Louise Underdahl from the University of Phoenix’s College of Doctoral Studies sheds light on how these powerful AI tools are reshaping higher education. Their comprehensive examination, published in the International Journal of Digital Society, delves into the multifaceted applications of GenAI in academic research and pedagogy, revealing both its immense potential and critical ethical considerations.

Generative AI technologies, such as ChatGPT, are being integrated seamlessly into academic workflows, fundamentally altering traditional research methodologies. These AI systems assist with synthesizing voluminous literature, expediting ideation processes, and supporting complex writing tasks. The University of Phoenix study employed a scoping review methodology, a rigorous approach that surveys existing scholarly literature to map trends and identify gaps, to capture the current state of AI’s influence across doctoral education and broader scholarly contexts. This method allowed the authors to distill core themes around AI use, including its evolving roles and the nuanced challenges that accompany digital innovation.
One of the definitive insights from the research is the enhanced efficiency offered by generative AI in academic research activities. Researchers often grapple with the daunting task of conducting exhaustive literature reviews that require the integration of thousands of scholarly articles. AI tools expedite this by automating initial data aggregation and summarization, thus freeing researchers to focus on critical analysis and interpretation. This acceleration not only shortens project timelines but also fosters deeper intellectual inquiry by enabling scholars to explore broader research questions that were previously constrained by time limitations.
Beyond literature reviews, generative AI aids doctoral candidates and faculty in the ideation phase, functioning as a sophisticated brainstorming partner. These advanced models generate creative prompts, suggest conceptual frameworks, and even draft outlines, thereby catalyzing scholarly creativity. By providing diverse viewpoints and alternative approaches, AI can stimulate novel hypotheses and interdisciplinary connections—elements essential for pioneering research. Consequently, the synergy between human intellect and AI augmentation emerges as a transformative dynamic in knowledge creation.
Despite its promising capabilities, the integration of generative AI into academia underscores pressing ethical concerns. Akojie and her colleagues emphasize the imperative for transparency in disclosing AI involvement in scholarly outputs. Without clear guidelines, the risk of compromising academic integrity intensifies, especially regarding authorship authenticity and originality of critical analysis. Universities and research institutions face the urgent task of developing robust policies that delineate acceptable AI practices, ensuring that human agency and intellectual rigor remain central to scholarly pursuits.
Doctoral education stands to gain significantly from comprehensive AI literacy training, as highlighted in the study. Such training equips researchers with the skills to critically evaluate AI-generated content, understand algorithmic biases, and navigate the ethical landscape surrounding automated assistance. Integrating AI literacy into curricula fosters a generation of scholars proficient in leveraging digital tools responsibly, thus preparing them to lead in increasingly AI-augmented academic and professional environments. This proactive educational strategy aligns with the evolving demands of contemporary scholarship.
Institutional readiness is another pivotal aspect addressed by the research. The accelerating proliferation of GenAI tools necessitates clear institutional frameworks to guide responsible adoption. Universities need to establish policies that balance innovation with accountability, including standards for AI usage in research design, data handling, and publication practices. The absence of such frameworks risks inconsistent applications and potential misuse, which could undermine trust in academic credentials and intellectual contributions.
At the University of Phoenix, these issues are approached through dedicated research centers like the Center for Educational and Instructional Technology Research (CEITR). This center convenes experts to explore the intersections of artificial intelligence and education, aiming to harness AI’s potential while addressing its challenges. The CEITR’s Phoenix AI Research Group serves as a hub for innovation, investigating AI-enhanced teaching, cognitive augmentation, and administrative efficiencies, thereby positioning the university as a leader in AI integration within higher education.
The authors’ expertise in educational technology, instructional innovation, and leadership underscores the multidisciplinary nature of AI’s academic impact. Their collective insights reflect an understanding that the deployment of AI tools transcends mere technical augmentation; it demands shifts in pedagogical strategies, institutional governance, and scholarly ethos. This holistic perspective is essential for developing sustainable AI ecosystems in universities that prioritize equitable access and ethical standards.
Moreover, the study contributes to the broader academic discourse around AI ethics and policy, a domain rapidly gaining traction amidst technological disruptions. It highlights the need for cross-institutional collaborations to share best practices, develop consensus on ethical standards, and foster continuous dialogue among educators, researchers, and technologists. Such collaborative frameworks can ensure that generative AI serves as a catalyst for inclusive, rigorous, and innovative scholarship rather than a source of contention or inequity.
Importantly, the research also anticipates future trajectories of AI in academia. As generative models become increasingly sophisticated, their role may expand beyond assistance to co-creation, potentially transforming how knowledge is generated and disseminated. This prospect raises profound questions about authorship, intellectual property, and the nature of human creativity. Addressing these questions will require dynamic regulatory responses, adaptive educational models, and ongoing reflection on the core values underpinning scholarship.
In conclusion, the University of Phoenix study offers a timely and nuanced analysis of generative AI’s academic applications, emphasizing its transformative potential alongside significant responsibilities. By providing a lucid synthesis of emerging evidence, the authors enable educators, students, and institutions to navigate the complex landscape of AI integration thoughtfully. As generative AI continues to evolve, these insights provide a critical foundation for fostering responsible innovation that enriches scholarly inquiry and educational practice in the digital age.

Subject of Research: Academic applications and ethical considerations of generative artificial intelligence tools in higher education.
Article Title: Academic Applications of Generative Artificial Intelligence Tools: A Scoping Review
News Publication Date: February 1, 2026
Web References:

International Journal of Digital Society: https://infonomics-society.org/ijds/published-papers/volume-17-2026/  
DOI link to article: http://dx.doi.org/10.20533/ijds.2040.2570.2026.0256  
University of Phoenix AI Research Group: https://www.phoenix.edu/research/education-instruction-technology/ai-research-group.html

References: University of Phoenix College of Doctoral Studies; Center for Educational and Instructional Technology Research (CEITR)
Keywords: generative AI, academic integrity, doctoral education, AI literacy, educational technology, research ethics, AI-assisted writing, literature review automation, higher education innovation, AI policy
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