During a global survey of students conducted in mid-2024, it was found that a whopping ** percent said they were using artificial intelligence tools in their schoolwork. Almost a ****** of them used it on a daily basis.

The results of a survey conducted among global students in July 2024 show that helping with resume and cover letter writing is the most common use case for artificial intelligence tools among higher education students. ********** of respondents also said they used AI to assist them in writing, for personalized content recommendations, and research. All in all, ** percent of students worldwide admit to using AI in their schoolwork.

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Artificial Intelligence (AI) Market In Education Sector Size 2025-2029

The artificial intelligence (ai) market in education sector size is forecast to increase by USD 4.03 billion at a CAGR of 59.2% between 2024 and 2029.

The Artificial Intelligence (AI) market in the education sector is experiencing significant growth due to the increasing demand for personalized learning experiences. Schools and universities are increasingly adopting AI technologies to create customized learning paths for students, enabling them to progress at their own pace and receive targeted instruction. Furthermore, the integration of AI-powered chatbots in educational institutions is streamlining administrative tasks, providing instant support to students, and enhancing overall campus engagement. However, the high cost associated with implementing AI solutions remains a significant challenge for many educational institutions, particularly those with limited budgets. Despite this hurdle, the long-term benefits of AI in education, such as improved student outcomes, increased operational efficiency, and enhanced learning experiences, make it a worthwhile investment for forward-thinking educational institutions. Companies seeking to capitalize on this market opportunity should focus on developing cost-effective AI solutions that cater to the unique needs of educational institutions while delivering measurable results. By addressing the cost challenge and providing tangible value, these companies can help educational institutions navigate the complex landscape of AI adoption and unlock the full potential of this transformative technology in education.

What will be the Size of the Artificial Intelligence (AI) Market In Education Sector during the forecast period?

Request Free SampleArtificial Intelligence (AI) is revolutionizing the education sector by enhancing teaching experiences and delivering personalized learning. AI technologies, including deep learning and machine learning, power adaptive learning platforms and intelligent tutoring systems. These systems create learner models to provide personalized recommendations and instructional activities based on individual students' needs. AI is transforming traditional educational models, enabling intelligent systems to handle administrative tasks and data analysis. The integration of AI in education is leading to the development of intelligent training software for skilled professionals. Furthermore, AI is improving knowledge delivery through data-driven insights and enhancing the learning experience with interactive and engaging pedagogical models. AI technologies are also being used to analyze training formats and optimize domain models for more effective instruction. Overall, AI is streamlining administrative tasks and providing personalized learning experiences for students and professionals alike.

How is this Artificial Intelligence (AI) In Education Sector Industry segmented?

The artificial intelligence (ai) in education sector industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userHigher educationK-12Learning MethodLearner modelPedagogical modelDomain modelComponentSolutionsServicesApplicationLearning platform and virtual facilitatorsIntelligent tutoring system (ITS)Smart contentFraud and risk managementOthersTechnologyMachine LearningNatural Language ProcessingComputer VisionSpeech RecognitionGeographyNorth AmericaUSCanadaMexicoEuropeFranceGermanyItalySpainUKAPACChinaIndiaJapanSouth KoreaSouth AmericaBrazilMiddle East and AfricaUAE

By End-user Insights

The higher education segment is estimated to witness significant growth during the forecast period.The global education sector is witnessing significant advancements with the integration of Artificial Intelligence (AI). AI technologies, including Machine Learning (ML), are revolutionizing various aspects of education, from K-12 schools to higher education and corporate training. Intelligent Tutoring Systems and Adaptive Learning Platforms are increasingly popular, offering Individualized Instruction and Personalized Learning Experiences based on each student's Learning Pathways and Skills Gap. AI-enabled solutions are enhancing Student Engagement by providing Interactive Learning Tools and Real-time communication, while AI platforms and startups are developing Smart Content and Tailored Content for Remote Learning environments. AI is also transforming administrative tasks, such as Assessment processes and Data Management, by providing Personalized Recommendations and Automated Grading. Universities and educational institutions are leveraging AI for Pedagogical model development and Virtual Classrooms, offering Educational Experiences and Virtual support. AI is also being used f

According to a survey conducted in 2023 in the United States, ** percent of undergraduate students said that they would feel more comfortable using artificial intelligence (AI) tools if they were developed and vetted by trusted academic sources. ** percent also agreed that AI will improve how students learn, rather than have negative consequences on learning.

IntroductionProviding one-on-one support to large cohorts is challenging, yet emerging AI technologies show promise in bridging the gap between the support students want and what educators can provide. They offer students a way to engage with their course material in a way that feels fluent and instinctive. Whilst educators may have views on the appropriates for AI, the tools themselves, as well as the novel ways in which they can be used, are continually changing.MethodsThe aim of this study was to probe students' familiarity with AI tools, their views on its current uses, their understanding of universities' AI policies, and finally their impressions of its importance, both to their degree and their future careers. We surveyed 453 psychology and sport science students across two institutions in the UK, predominantly those in the first and second year of undergraduate study, and conducted a series of five focus groups to explore the emerging themes of the survey in more detail.ResultsOur results showed a wide range of responses in terms of students' familiarity with the tools and what they believe AI tools could and should not be used for. Most students emphasized the importance of understanding how AI tools function and their potential applications in both their academic studies and future careers. The results indicated a strong desire among students to learn more about AI technologies. Furthermore, there was a significant interest in receiving dedicated support for integrating these tools into their coursework, driven by the belief that such skills will be sought after by future employers. However, most students were not familiar with their university's published AI policies.DiscussionThis research on pedagogical methods supports a broader long-term ambition to better understand and improve our teaching, learning, and student engagement through the adoption of AI and the effective use of technology and suggests a need for a more comprehensive approach to communicating these important guidelines on an on-going basis, especially as the tools and guidelines evolve.

The data set records the perceptions of Bangladeshi university students on the influence that AI tools, especially ChatGPT, have on their academic practices, learning experiences, and problem-solving abilities. The varying role of AI in education, which covers common usage statistics, what AI does to our creative abilities, its impact on our learning, and whether it could invade our privacy. This dataset reveals perspective on how AI tools are changing education in the country and offering valuable information for researchers, educators, policymakers, to understand trends, challenges, and opportunities in the adoption of AI in the academic contex.

Methodology Data Collection Method: Online survey using google from Participants: A total of 3,512 students from various Bangladeshi universities participated. Survey Questions:The survey included questions on demographic information, frequency of AI tool usage, perceived benefits, concerns regarding privacy, and impacts on creativity and learning.

Sampling Technique: Random sampling of university students Data Collection Period: June 2024 to December 2024

Privacy Compliance This dataset has been anonymized to remove any personally identifiable information (PII). It adheres to relevant privacy regulations to ensure the confidentiality of participants.

For further inquiries, please contact: Name: Md Jhirul Islam, Daffodil International University Email: jhirul15-4063@diu.edu.bd Phone: 01316317573

Abstract:This dataset presents survey responses from first-year engineering students on their use of ChatGPT and other AI tools in a project-based learning environment. Collected as part of a study on AI’s role in engineering education, the data captures key insights into how students utilize ChatGPT for coding assistance, conceptual understanding, and collaborative work. The dataset includes responses on frequency of AI usage, perceived benefits and challenges, ethical concerns, and the impact of AI on learning outcomes and problem-solving skills.With AI increasingly integrated into education, this dataset provides valuable empirical evidence for researchers, educators, and policymakers interested in AI-assisted learning, STEM education, and academic integrity. It enables further analysis of student perceptions, responsible AI use, and the evolving role of generative AI in higher education.By making this dataset publicly available, we aim to support future research on AI literacy, pedagogy, and best practices for integrating AI into engineering and science curricula..................................................................................................................................................................Related PublicationThis dataset supports the findings presented in the following peer-reviewed article:ChatGPT in Engineering Education: A Breakthrough or a Challenge?Davood KhodadadPublished: 7 May 2025 | Physics Education, Volume 60, Number 4© 2025 The Author(s). Published by IOP Publishing LtdCitation: Davood Khodadad 2025 Phys. Educ. 60 045006DOI: 10.1088/1361-6552/add073If you use or reference this dataset, please consider citing the above publication......................................................................................................................................................................Description of the data and file structureTitle: ChatGPT in Engineering Education: Survey Data on AI Usage, Learning Impact, and CollaborationDescription of Data Collection:This dataset was collected through a survey distributed via the Canvas learning platform following the completion of group projects in an introductory engineering course. The survey aimed to investigate how students engaged with ChatGPT and other AI tools in a project-based learning environment, particularly in relation to coding, report writing, idea generation, and collaboration.The survey consisted of 15 questions:12 multiple-choice questions to capture quantitative insights on AI usage patterns, frequency, and perceived benefits.3 open-ended questions to collect qualitative perspectives on challenges, ethical concerns, and students' reflections on AI-assisted learning.Key areas assessed in the survey include:Students’ prior familiarity with AI tools before the course.Frequency and purpose of ChatGPT usage (e.g., coding assistance, conceptual learning, collaboration).Perceived benefits and limitations of using AI tools in an engineering learning environment.Ethical considerations, including concerns about over-reliance and academic integrity.The dataset provides valuable empirical insights into the evolving role of AI in STEM education and can support further research on AI-assisted learning, responsible AI usage, and best practices for integrating AI tools in engineering education.

The Artificial Intelligence (AI) in Higher Education market is experiencing explosive growth, projected to reach $1645.7 million in 2025 and maintain a robust Compound Annual Growth Rate (CAGR) of 25.7% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing demand for personalized learning experiences is driving adoption of intelligent tutoring systems and smart content platforms, which leverage AI to adapt to individual student needs and learning styles. Furthermore, the growing need for efficient and effective fraud and risk management within higher education institutions is creating opportunities for AI-powered solutions to enhance security and streamline administrative processes. The integration of AI across various applications, such as learning platforms, virtual facilitators, and assessment tools, is transforming the educational landscape, promising improved student outcomes and operational efficiencies. The market segmentation highlights the diverse applications of AI, with Learning Platforms & Virtual Facilitators and Intelligent Tutoring Systems leading the charge, followed by Smart Content and Fraud & Risk Management solutions. Machine Learning, Deep Learning, and Natural Language Processing are the dominant AI technologies powering these applications. North America currently holds a significant market share due to the early adoption of AI in educational institutions and robust technological infrastructure. However, other regions, particularly Asia Pacific, are demonstrating rapid growth potential as AI technologies become more accessible and affordable. The presence of numerous established technology providers, including global giants like Google, Microsoft, and Amazon alongside specialized education technology companies, indicates a competitive yet dynamic market poised for sustained expansion. The continued market expansion is anticipated to be fueled by advancements in AI technologies and their increasing sophistication in personalized learning. The development of more intuitive and user-friendly AI-powered tools will further drive adoption. Moreover, increased government funding and initiatives supporting educational technology will likely bolster market growth. However, challenges remain. Concerns regarding data privacy and security in the context of student data, the high cost of implementing and maintaining AI systems, and the need for sufficient faculty training to effectively integrate AI into teaching practices are all factors that could potentially constrain the market’s growth rate. Nevertheless, the long-term outlook for AI in higher education remains extremely positive, indicating a substantial transformation in the way education is delivered and experienced in the coming years.

Market Overview: The global Higher Education Data Management Service market holds significant growth potential, driven by the increasing adoption of cloud-based solutions and the need to effectively manage and analyze large volumes of data in higher education institutions. The market size is projected to reach USD XXX million by 2033, expanding at a CAGR of XX% during the forecast period (2025-2033). This growth is attributed to factors such as the rising demand for data-driven decision-making, regulatory compliance requirements, and the adoption of advanced technologies like artificial intelligence (AI) and machine learning (ML). Market Segments and Key Players: The market is segmented by application (school and educational institution) and type (cloud-based and on-premises). Key players in the market include Ellucian, Oracle, Workday, Campus Management, Blackboard, PowerSchool, and Jenzabar. North America dominates the market, followed by Asia Pacific and Europe. The market is highly competitive, with vendors offering a range of solutions tailored to the specific needs of higher education institutions. Strategic partnerships, acquisitions, and technological innovations are key strategies adopted by these players to gain a competitive edge in the market.

This survey seeks to understand how artificial intelligence (AI) technology impacts education

AI Tool Usage by Indian College Students 2025

This unique dataset, collected via a May 2025 survey, captures how 496 Indian college students use AI tools (e.g., ChatGPT, Gemini, Copilot) in academics. It includes 16 attributes like AI tool usage, trust, impact on grades, and internet access, ideal for education analytics and machine learning.

Columns

• Student_Name: Anonymized student name.
• College_Name: College attended.
• Stream: Academic discipline (e.g., Engineering, Arts).
• Year_of_Study: Year of study (1–4).
• AI_Tools_Used: Tools used (e.g., ChatGPT, Gemini).
• Daily_Usage_Hours: Hours spent daily on AI tools.
• Use_Cases: Purposes (e.g., Assignments, Exam Prep).
• Trust_in_AI_Tools: Trust level (1–5).
• Impact_on_Grades: Grade impact (-3 to +3).
• Do_Professors_Allow_Use: Professor approval (Yes/No).
• Preferred_AI_Tool: Preferred tool.
• Awareness_Level: AI awareness (1–10).
• Willing_to_Pay_for_Access: Willingness to pay (Yes/No).
• State: Indian state.
• Device_Used: Device (e.g., Laptop, Mobile).
• Internet_Access: Access quality (Poor/Medium/High).

Use Cases

• Predict academic performance using AI tool usage.
• Analyze trust in AI across streams or regions.
• Cluster students by usage patterns.
• Study digital divide via Internet_Access.

Source: Collected via Google Forms survey in May 2025, ensuring diverse representation across India. Note: First dataset of its kind on Kaggle!

The Artificial Intelligence (AI) in Education Technology market is experiencing robust growth, driven by increasing adoption of AI-powered learning tools and a rising demand for personalized and adaptive learning experiences. The market's expansion is fueled by several key factors, including the growing availability of affordable AI solutions, advancements in natural language processing and machine learning, and a greater emphasis on improving student outcomes through data-driven insights. Educational institutions are increasingly leveraging AI for tasks such as automated grading, personalized tutoring systems, intelligent content recommendation, and early identification of at-risk students. This shift is transforming the educational landscape, offering opportunities for enhanced teaching methodologies and improved learning efficacy. Major players like Blackboard, Cisco, and Pearson are actively investing in AI-powered educational technologies, while smaller companies are innovating with specialized solutions. The market's segmentation is primarily driven by the type of AI technology deployed (e.g., machine learning, natural language processing), the type of educational institution (K-12, higher education, corporate training), and the application area (e.g., assessment, personalized learning, administrative tasks). Geographical variations exist, with North America and Europe currently dominating the market due to higher adoption rates and advanced technological infrastructure. However, the Asia-Pacific region is expected to witness significant growth in the coming years, propelled by increasing investments in education and technological advancements. Competition is intensifying as established players and new entrants strive for market share, leading to innovation and improved offerings. The forecast period (2025-2033) anticipates continued growth, potentially at a Compound Annual Growth Rate (CAGR) between 15% and 20%, depending on factors such as technological advancements, government policies supporting EdTech, and the overall economic climate. Challenges remain, including concerns about data privacy, the digital divide, and the need for effective teacher training to integrate AI tools effectively into the classroom. Overcoming these hurdles will be crucial to unlocking the full potential of AI in revolutionizing the education sector and ensuring equitable access to high-quality learning experiences for all students. The continuous development of more sophisticated and user-friendly AI-powered learning tools coupled with increased awareness of the benefits of personalized learning will be pivotal drivers of future market expansion.

The Artificial Intelligence (AI) in Higher Education market is rapidly evolving, transforming the landscape of learning and administrative processes across universities and colleges. As educational institutions strive to enhance student engagement and streamline operations, AI technologies have emerged as powerful t

Global businesses are actively embracing Industry 4.0 and digital transformation. Simultaneously, the education sector is leveraging digital tools to foster personalized learning and equity. Universities transcending borders and students becoming increasingly global have opened new frontiers through the use of artificial intelligence (AI)-based tools in education. Since the role of AI is inevitable in future education, current research aims to identify the level of awareness of faculty members on the applicability and adoption of artificial intelligence. The study also intended to discover how AI enhanced their learning experience and impacted the degree of work engagement of teachers in higher education. A cluster and multi-stage sampling method was employed to select 250 faculty members from QS (Quacquarelli Symonds) ranked institutions operating in hybrid education modes. Utilizing a quantitative research approach and a structural equation model, factors influencing AI adoption in this context were explored. The findings revealed that AI implementation led to the evolution of robust evaluation and assessment methods, resulting in heightened faculty engagement levels. The study identified that perceived risk, performance expectancy, and awareness play significant roles in influencing work engagement and the adoption of AI within the higher education system through mediating variables, specifically attitude, and behavior.

Data ser for a Systematic Literature Review (SLR) of peer-reviewed articles from the Web of Science and Scopus databases, covering the period from January 2021 to February 2025. The review investigates data-driven approaches combined with AI Maching Learning (ML) across four educational domains: learning, teaching, assessment, administration and Cross-cutting applications.

AI-Powered College Admissions Market Outlook

According to our latest research, the AI-powered college admissions market size reached USD 1.21 billion globally in 2024, reflecting the rapid integration of artificial intelligence in higher education decision-making. The market is projected to grow at a robust CAGR of 18.7% from 2025 to 2033. By the end of 2033, the market is expected to reach approximately USD 6.23 billion. This strong growth is being driven by the increasing demand for data-driven, unbiased, and scalable solutions that streamline and personalize the college admissions process for institutions and applicants alike.

One of the primary growth factors for the AI-powered college admissions market is the escalating need for efficiency and transparency in the admissions process. Traditional college admissions are often labor-intensive, subjective, and susceptible to human biases, leading to inconsistencies and inefficiencies. AI-powered platforms offer advanced analytics, machine learning algorithms, and predictive modeling, enabling institutions to evaluate applications holistically and consistently. These systems can process vast volumes of data, including academic records, extracurricular achievements, and personal essays, in a fraction of the time required by manual methods. As a result, universities and colleges are increasingly adopting AI solutions to improve the accuracy and fairness of their admissions decisions, while also reducing administrative burdens and operational costs.

Another significant driver is the rising internationalization of higher education. With more students seeking cross-border educational opportunities, the complexity of evaluating diverse academic backgrounds and qualifications has increased exponentially. AI-powered admissions systems can efficiently normalize and compare credentials from different countries, assess language proficiency, and identify the best-fit candidates for specific programs. This capability is particularly valuable for institutions aiming to attract a global talent pool and diversify their student body. Furthermore, the integration of AI in scholarship and financial aid management is enabling more precise matching of students to funding opportunities, thereby enhancing access and equity in higher education.

The proliferation of digital technologies and the growing investments in EdTech are also fueling market expansion. Colleges, universities, and educational consultants are leveraging AI to offer personalized guidance, automate routine tasks, and generate actionable insights from large datasets. The COVID-19 pandemic further accelerated digital transformation in education, prompting institutions to adopt AI-driven tools for virtual interviews, document verification, and predictive enrollment modeling. As regulatory frameworks evolve and data privacy concerns are addressed, the adoption of AI-powered admissions solutions is expected to accelerate further, solidifying their role as indispensable tools in modern higher education.

From a regional perspective, North America currently dominates the AI-powered college admissions market, accounting for approximately 41% of global revenue in 2024. This leadership is attributed to the presence of leading EdTech companies, high digital literacy rates, and significant investments in AI research and development. Europe follows closely, with universities embracing AI to enhance international recruitment and streamline admissions processes. The Asia Pacific region is witnessing the fastest growth, driven by the rapid expansion of higher education infrastructure and increasing government initiatives to digitalize education. Latin America and the Middle East & Africa are also showing promising growth trajectories, albeit from a smaller base, as institutions in these regions recognize the potential of AI to address local challenges in access, equity, and efficiency.

Component Analysis

The AI-powered college admissions market is segmented by component into software and services, each playing a pivotal role in transforming the admissions landscape. The software segment, which includes AI-driven platforms, analytics tools, and machine learning algorithms, accounted for the largest market share in 2024. These solutions are designed to automate application screening, perform sentiment analysis on essays, and provide predictive analytics for enrollment management. The growin

Analysis of ‘Students enrolled in Higher Education ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5d388014454ae3468a4e4358 on 19 January 2022.

--- Dataset description provided by original source is as follows ---

Students enrolled in Higher Education, by Organic Unit, NUTS, District, Municipality, Nature of Establishment, Teaching Type, Course, Cycle of Studies, CNAEF, Sex, Nationality, Student/worker, Regime and Scholarship. Several datasets with information per academic year.

--- Original source retains full ownership of the source dataset ---

Success.ai’s Education Industry Data provides access to comprehensive profiles of global professionals in the education sector. Sourced from over 700 million verified LinkedIn profiles, this dataset includes actionable insights and verified contact details for teachers, school administrators, university leaders, and other decision-makers. Whether your goal is to collaborate with educational institutions, market innovative solutions, or recruit top talent, Success.ai ensures your efforts are supported by accurate, enriched, and continuously updated data.

Why Choose Success.ai’s Education Industry Data? 1. Comprehensive Professional Profiles Access verified LinkedIn profiles of teachers, school principals, university administrators, curriculum developers, and education consultants. AI-validated profiles ensure 99% accuracy, reducing bounce rates and enabling effective communication. 2. Global Coverage Across Education Sectors Includes professionals from public schools, private institutions, higher education, and educational NGOs. Covers markets across North America, Europe, APAC, South America, and Africa for a truly global reach. 3. Continuously Updated Dataset Real-time updates reflect changes in roles, organizations, and industry trends, ensuring your outreach remains relevant and effective. 4. Tailored for Educational Insights Enriched profiles include work histories, academic expertise, subject specializations, and leadership roles for a deeper understanding of the education sector.

Data Highlights: 700M+ Verified LinkedIn Profiles: Access a global network of education professionals. 100M+ Work Emails: Direct communication with teachers, administrators, and decision-makers. Enriched Professional Histories: Gain insights into career trajectories, institutional affiliations, and areas of expertise. Industry-Specific Segmentation: Target professionals in K-12 education, higher education, vocational training, and educational technology.

Key Features of the Dataset: 1. Education Sector Profiles Identify and connect with teachers, professors, academic deans, school counselors, and education technologists. Engage with individuals shaping curricula, institutional policies, and student success initiatives. 2. Detailed Institutional Insights Leverage data on school sizes, student demographics, geographic locations, and areas of focus. Tailor outreach to align with institutional goals and challenges. 3. Advanced Filters for Precision Targeting Refine searches by region, subject specialty, institution type, or leadership role. Customize campaigns to address specific needs, such as professional development or technology adoption. 4. AI-Driven Enrichment Enhanced datasets include actionable details for personalized messaging and targeted engagement. Highlight educational milestones, professional certifications, and key achievements.

Strategic Use Cases: 1. Product Marketing and Outreach Promote educational technology, learning platforms, or training resources to teachers and administrators. Engage with decision-makers driving procurement and curriculum development. 2. Collaboration and Partnerships Identify institutions for collaborations on research, workshops, or pilot programs. Build relationships with educators and administrators passionate about innovative teaching methods. 3. Talent Acquisition and Recruitment Target HR professionals and academic leaders seeking faculty, administrative staff, or educational consultants. Support hiring efforts for institutions looking to attract top talent in the education sector. 4. Market Research and Strategy Analyze trends in education systems, curriculum development, and technology integration to inform business decisions. Use insights to adapt products and services to evolving educational needs.

Why Choose Success.ai? 1. Best Price Guarantee Access industry-leading Education Industry Data at unmatched pricing for cost-effective campaigns and strategies. 2. Seamless Integration Easily integrate verified data into CRMs, recruitment platforms, or marketing systems using downloadable formats or APIs. 3. AI-Validated Accuracy Depend on 99% accurate data to reduce wasted outreach and maximize engagement rates. 4. Customizable Solutions Tailor datasets to specific educational fields, geographic regions, or institutional types to meet your objectives.

Strategic APIs for Enhanced Campaigns: 1. Data Enrichment API Enrich existing records with verified education professional profiles to enhance engagement and targeting. 2. Lead Generation API Automate lead generation for a consistent pipeline of qualified professionals in the education sector. Success.ai’s Education Industry Data enables you to connect with educators, administrators, and decision-makers transforming global...

This dataset captures insights into the use of Artificial Intelligence (AI) among 535 students in Indonesian higher education, focusing on their expectations, challenges, attitudes, perceptions, and motivations regarding AI-based learning tools. Collected through a structured survey, the dataset includes demographic variables such as university type, field of study, and educational level, along with students' self-reported experiences with AI in academic settings. The dataset serves as a valuable resource for understanding AI adoption trends in higher education, identifying barriers to AI integration, and evaluating its impact on student engagement and learning outcomes. It enables comparative analysis across different academic disciplines and institutional contexts, offering opportunities for policymakers and educators to design AI-informed curricula. Additionally, this dataset is structured for reproducibility and reuse, allowing researchers to extend its findings, apply alternative analytical approaches, and conduct cross-regional or longitudinal studies on AI integration in higher education.

IntroductionThe study investigates the integration of artificial intelligence (AI) in higher education (HE) and its impact on pre-service teachers at the University of Latvia (UL) by exploring pre-service teachers' perceptions of the benefits and challenges of AI in both their academic learning and their future professional roles as educators, particularly regarding the promotion of inclusive education.MethodsData was collected via an online survey of 240 pre-service teachers across various disciplines at the UL. The survey included demographic details, AI usage patterns, and perceived benefits and challenges. Responses were analyzed using descriptive statistics, Kruskal-Wallis H tests, Spearman's correlation, and thematic analysis.ResultsLess than half of the participants used AI in their studies, with many expressing ambivalence or opposition toward AI. Benefits included language assistance and accessibility to global knowledge, while challenges involved reduced critical thinking and concerns over plagiarism. Despite recognizing AI's potential to promote inclusivity, most pre-service teachers have not applied it in practice. No significant differences in AI perceptions were found based on age, gender, or study level.DiscussionThe findings highlight a low adoption rate of AI among pre-service teachers and a gap between theoretical recognition of AI's potential and its practical application, particularly for inclusion. The study emphasizes the need for HE institutions to enhance AI literacy and readiness among future teachers.ConclusionAI is underutilized by pre-service teachers in both HE learning and teaching environments, which has implications for teacher preparation programs that better integrate AI literacy and inclusive practices.