According to a survey conducted in 2023 in the United States, 85 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. 65 percent also agreed that AI will improve how students learn rather than have negative consequences on learning.

During a global survey of students conducted in mid-2024, it was found that a whopping 86 percent said they were using artificial intelligence tools in their schoolwork. Almost a fourth of them used it on a daily basis.

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

Introduction

AI in Education Statistics: AI (Artificial Intelligence) is quickly changing how students study and teachers teach. From custom learning programs to smart grading tools, AI is helping make education faster and easier. New stats show that more schools use AI to boost student performance, reduce teacher tasks, and support online learning.

As more schools and colleges introduce AI tools, the latest numbers help us understand how AI shapes the future of learning. This article will shed more light on AI in Education Statistics.

According to a 2024 survey conducted in Indonesia, around 57 percent of respondents used AI tools to get ideas or inspiration in doing their school or university assignments. Additionally, over 55 percent of student respondents reported using AI to save time in doing those assignments.

With the growing prevalence of AI tools, such as ChatGPT, political science instructors are navigating how to manage the use and misuse of AI in the classroom. This study underscores the prevalence of AI in academic settings and suggests pedagogical practices to integrate AI in the classroom in ways informed by students’ current interactions with and attitudes toward AI. Using a survey of undergraduate students in political science courses, the study finds both that ChatGPT usage is widespread at the university level, but also that students are not confident in their skills for using AI appropriately to help improve their writing or prepare for exams. These findings point to key areas where instructors can intervene and integrate AI in ways that enhance student learning, reduce potential achievement gaps that may emerge due to differences in AI usage across student background, and help students develop critical AI literacy skills to prepare for careers that are increasingly affected by AI.

This is the questionaire on colleges students using GenAI. The data is analysized in the journal paper The Current State of Generative AI Usage Among University Students and Its Impact on Self-Directed Learning:A Serial Mediation Model Based on TAM3

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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

This dataset was collected as part of a doctoral research dissertation exploring how generative AI tools support students’ academic writing. The study aimed to examine the profiles of AI use among university students and how variables such as AI self-efficacy, writing self-efficacy, and self-regulated learning predict these profiles and their associated learning outcomes.The data comprises survey responses from 1073 students, who completed a questionnaire measuring constructs such as writing self-efficacy (WSE), AI self-efficacy (ASE), self-regulated learning (SRL), academic grit (AG), writing motivation (WM), perceived improvement (PI), and critical thinking (CT), among others. All responses are anonymized. The dataset also includes aggregated composite variables and calculated profile membership for subsequent quantitative analysis.

During a survey of Gen Z students in the United States conducted in May 2023 it was found that close to half of respondents used AI to get information about something, and 43 percent did so to help with their schoolwork. In search for information, high schoolers were the most likely to use AI, while college students used this technology mostly to help with schoolwork.

This dataset was collected as part of the research for the paper "System Perspective on AI Over-Reliance among Indonesian Higher Education Students". It contains responses from Indonesian university students regarding their perceptions, usage habits, and dependency patterns on artificial intelligence (AI) tools in academic settings. The data was obtained through an online questionnaire designed to explore various system elements contributing to potential over-reliance on AI technologies, such as motivation, self-efficacy, institutional policy, peer influence, and academic pressure.

The dataset includes anonymized, structured survey responses suitable for statistical analysis and systems thinking approaches (e.g., causal loop diagrams). It is intended to support further research in educational technology, digital ethics, and systems thinking in the context of higher education.

Between 2023 to 2024, around 39 percent of college and university students who received mental health services took medication for their mental health concerns. This statistic shows the percentage of college and university students in the U.S. who received mental health services who took medication for mental health concerns from 2010 to 2024.

This dataset contains the results of a survey conducted on undergraduate students enrolled in the 2nd and 3rd year of study at the Faculty of Cybernetics, Statistics and Economic Informatics. The survey was conducted online and distributed through social media groups. The aim of the survey was to gather insights into students' perceptions of the role of artificial intelligence in education.

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Question 1: On a scale of 1 to 10, how informed do you think you are about the concept of artificial intelligence? (1-not informed at all, 10-extremely informed)

Question 2: What sources do you use to learn about the concept of artificial intelligence? -Internet -Books/Scientific papers (physical/online format) -Social media -Discussions with family/friends -I don't inform myself about AI

Question 3: Express your agreement or disagreement with the following statements: (Strongly Disagree, Partially Disagree, Neutral, Partially Agree, Fully Agree) 1. AI encourages dehumanization 2. Robots will replace people at work 3. AI helps to solve many problems in society (education, agriculture, medicine), managing time and dangerous situations more efficiently 4. AI will rule society

Question 4: Express your agreement or disagreement with the following statements: (Strongly Disagree, Partially Disagree, Neutral, Partially Agree, Fully Agree) 1. Machinery using AI is very expensive and resource intensive to build and maintain 2. AI will lead to a global economic crisis 3. AI will help global economic growth 4. AI leads to job losses

Question 5: When you think about AI do you feel: o Curiosity o Fear o Indifference o Trust

Question 6: In which areas do you think AI would have a big impact? -Education -Medicine -Agriculture -Constructions -Marketing -Public administration -Art

Question 7: On a scale of 1 to 10, how useful do you think AI would be in the educational process? (1- not useful at all, 10-extremely useful)

Question 8: What do you think is the main advantage that AI would have in the teaching process? o Teachers can be assisted by a virtual assistant for teaching lessons and answering students' questions immediately o More efficient management of teachers' time o More interactive and engaging lessons for students o Other

Question 9: What do you think is the main advantage that AI would have in the learning process? o Personalized lessons according to students' needs o Universal access for all students eager to learn, including those with special needs o More interactive and engaging lessons for students o Other

Question 10: What do you think is the main advantage that AI would have in the evaluation process? o Automation of exam grading o Fewer errors in grading system o Constant feedback from virtual assistants for each student o Other

Question 11: What do you think is the main disadvantage that AI would have in the educational process? o Lack of a relationship between students and teacher o Internet addiction o Rarer interactions between students and teachers o Loss of information caused by possible system failure

Question 12: What is your gender? o Female o Male

Question 13: What is your year of study? o Year 2 o Year 3

Question 14: What is your major? o Economic Cybernetics o Statistics and Economic Forecasting o Economic Informatics

Question 15: Did you pass all your exams? o Yes o No

Question 16: What is your GPA for your last year of study? (Note that grades are from 1 to 10 in Romania) o 5.0-5.4 o 5.5.-5.9 o 6.0-6.4 o 6.5-6.9 o 7.0-7.4 o 7.5-7.9 o 8.0-8.4 o 8.5-8.9 o 9.0-9.4 o 9.5-10

This statistic presents the percentage of college students in the U.S. that had used MDMA for a select number of days during the past 30 days as of fall 2018. According to the data, 3.8 percent of students had used MDMA but not within the past 30 days.

The Chain Mediation Effect of Performance Expectancy and Perceived Value between College Students’ Perceived Social Influence and Usage Intention towards AI Language Partners

The data evaluates the factors influencing the adoption of AI Copilot among faculty and students at Cebu Technological University. It operates under the hypothesis that perceived usefulness and perceived ease of use of TAM alongside with the pedagogical dimension of AI Ecological Education Policy Framework(AIEEPF), impact behavioral intentions toward AI Copilot usage.

The study utilized a quantitative approach through structured surveys targeted at students and instructors. A stratified random sampling method ensured representation across different educational levels and roles. The participants were informed about the study's purpose and confidentiality rights, providing written consent before responding. Surveys were distributed via university email, yielding 414 responses. After excluding 18 low-variability responses, the data were analyzed using Structural Equation Modeling (SEM), including means and correlation analyses.

Findings suggest that respondents scored perceived usefulness at approximately 3.87, and perceived ease of use at 3.71, indicating general agreement on the tool's value and usability for academic tasks. A notable relationship was found between the pedagogical dimension and perceived usefulness, with a path coefficient of 0.446, confirming that well-aligned AI tools are more beneficial. High agreement levels emerged concerning the integration of AI in assessments(mean=3.89), the development of holistic competencies(mean=4.09), and the preparation of an AI-driven workforce(mean=4.02), reflecting strong support for AI-enhanced educational practices.

The data suggests favorable perceptions of AI Copilot among students, highlighting the importance of aligning AI technologies with educational goals. It indicates that institutions should integrate AI tools into curricula, invest in ongoing professional development for faculty, customize AI applications for specific educational settings, and address ethical implications, such as bias and transparency.

This data serves as a resource for understanding user perceptions and behavioral intentions regarding AI in education. Educational leaders can leverage these insights to inform AI integration strategies, ensuring they align with pedagogical and ethical needs.

The study advocates for further research on the longitudinal effects of AI adoption, facilitating effective implementations that enhance learning outcomes and prepare students for future challenges in an AI-driven environment.

According to a survey from 2023, around 2.5 percent of U.S. college students who had ever used cocaine had used it daily or almost daily in the past 3 months. This statistic presents the percentage of college students in the U.S. who had used cocaine at some point in their life, and had used it during the past 3 months as of fall 2023, by frequency

Introduction

E-Learning Statistics: In today’s fast-moving digital world, e-learning has become a key tool for businesses and people who want to keep improving and growing. E-learning is convenient, easy to access, and flexible, making it a game-changer for traditional education. It’s now an essential resource for staying competitive and adaptable in various industries.

Before the global COVID-19 pandemic, online learning was already starting to show up in schools, from elementary through university, as well as in corporate training. Both students and teachers liked the flexibility it offered to everyone taking part in the lessons.

Don't worry; we've put together a list of important E-Learning Statistics for 2024, bringing together the most useful insights in one handy place.

The dataset is from an Indian study which made use of ChatGPT- a natural language processing model by OpenAI to design a mental health literacy intervention for college students. Prompt engineering tactics were used to formulate prompts that acted as anchors in the conversations with the AI agent regarding mental health. An intervention lasting for 20 days was designed with sessions of 15-20 minutes on alternative days. Fifty-one students completed pre-test and post-test measures of mental health literacy, mental help-seeking attitude, stigma, mental health self-efficacy, positive and negative experiences, and flourishing in the main study, which were then analyzed using paired t-tests. The results suggest that the intervention is effective among college students as statistically significant changes were noted in mental health literacy and mental health self-efficacy scores. The study affirms the practicality, acceptance, and initial indications of AI-driven methods in advancing mental health literacy and suggests the promising prospects of innovative platforms such as ChatGPT within the field of applied positive psychology.: Codebook for the Dataset provided

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link between these strategies and the model’s response accuracy, the existence of individual prompting tendencies, and the impact of gender in this context. Our students used ChatGPT to solve five problems related to embedded systems and provided the solutions and the conversations with this model. We analyzed the conversations thematically to identify prompting strategies and applied different quantitative analyses to establish relationships between these strategies and the response accuracy and other factors. The findings indicate that students predominantly employ three types of prompting strategies: single copy-and-paste prompting (SCP), single reformulated prompting (SRP), and multiple-question prompting (MQP). ChatGPT’s response accuracy using SRP and MQP was significantly higher than using SCP, with effect sizes of -0.94 and -0.69, respectively. The student-by-student analysis revealed some tendencies. For example, 26 percent of the students consistently copied and pasted the questions into ChatGPT without any modification. Students who used MQP showed better performance in the final exam than those who did not use this prompting strategy. As for gender, female students tended to make extensive use of SCP, whereas male students tended to mix SCP and MQP. We conclude that students develop different prompting strategies that lead to different response qualities and learning. More research is needed to deepen our understanding and inform effective educational practices in the AI era.