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Ishrat Ahmed; Paul Alvarado; Siddharth Jain; Tracy Arner; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
The rapid evolution of artificial intelligence (AI) has created an unprecedented opportunity for innovation across industries, but its complexity often presents a steep learning curve for many (Roberts & Candi, 2024; Gunner, 2025). This highlights the need for user-friendly tools that bridge the gap between AI's potential and its practical…
Descriptors: State Universities, Artificial Intelligence, Usability, Innovation
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Figen Egin; Aytug Onan; Hatice Yildiz Durak – European Journal of Education, 2025
This study examines pre-service teachers' understanding of technology integration and the role of AI tools in shaping this perspective. Open-ended responses, analysed using topic modelling, reveal the main themes in pre-service teachers' views and compare them with topics generated by AI tools like ChatGPT, Gemini, and Bing AI. Key themes in…
Descriptors: Educational Technology, Preservice Teachers, Artificial Intelligence, Teacher Attitudes
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Jamal Eddine Rafiq; Abdelwahed Namir; Abdelali Zakrani; Mohammed Amraouy; Abdellah Bennane – Journal of Educators Online, 2025
This study examines the evolution of educational practices in the digital era and the integration of information technologies in teaching. Through an automated search in six digital libraries, we identified 99 relevant studies spanning the period from 1990 to 2021. We draw on a systematic mapping approach to classify these studies for better…
Descriptors: Educational Development, Educational Practices, Information Technology, Artificial Intelligence
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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
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Thiti Jantakun; Kitsadaporn Jantakun; Thada Jantakoon – Higher Education Studies, 2025
This study conducts a bibliometric analysis of artificial intelligence (AI) in STEM education research from 2020 to 2024. The study uses citation analysis to examine publication trends, country contributions, top authors, cited journals, and influential articles in this field. Data was collected from the Dimensions database using the keywords…
Descriptors: Artificial Intelligence, Technology Uses in Education, STEM Education, Trend Analysis
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Yudong Cai; Qiyue Deng; Ting Lv; Wan Zhang; Yi Zhou – Science & Education, 2025
The advent of GPT (generative pre-trained transformer) technologies, such as OpenAI's ChatGPT, Microsoft's New Bing, and Google's Bard, has recently sparked lively discussions in various industries. However, it is still unclear what impact the advent of GPT will have on the academic sectors. In light of this, we have undertaken a summary and…
Descriptors: Computer Software, Synchronous Communication, Artificial Intelligence, Influence of Technology
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Amelia Katirai – Autism: The International Journal of Research and Practice, 2025
The use of emotion recognition technologies in the workplace is expanding. These technologies claim to provide insights into internal emotional states based on external cues like facial expressions. Despite interconnections between autism and the development of emotion recognition technologies as reported in prior research, little attention has…
Descriptors: Autism Spectrum Disorders, Psychological Patterns, Technology, Work Environment
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Gulnara Z. Karimova; Yevgeniya D. Kim; Amir Shirkhanbeik – Education and Information Technologies, 2025
This exploratory study investigates the convergence of marketing communications and AI-powered technology in higher education, adopting a perspective on student interactions with generative AI tools. Through a comprehensive content analysis of learners' responses, we employed a blend of manual scrutiny, Python-generated Word Cloud, and Latent…
Descriptors: Artificial Intelligence, Marketing, Student Attitudes, Higher Education
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Jeffrey A. Greene; Helen Crompton – TechTrends: Linking Research and Practice to Improve Learning, 2025
The increasing ubiquity of digital technologies in the twenty-first century has led to calls for education reform focused on digital literacy, but what exactly does this term mean? The concept of digital literacy has evolved much since its evolution from media and new literacies scholarship, resulting in a myriad of definitions. Previous attempts…
Descriptors: Digital Literacy, Definitions, Educational Policy, Instructional Design
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Kenny A. Hendrickson; Karyl Askew – Journal of Applied Research in Higher Education, 2025
Purpose: Within the scope of broadening participation and developing diverse talents in STEM leadership, this paper aims to deliver a research study that explores faculty leaders' caring intelligence as STEM leadership intelligence. STEM leadership intelligence is the knowledge, skills, traits and aptitude essential to effective leadership in STEM…
Descriptors: Black Colleges, College Faculty, Instructional Leadership, Leadership Styles
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Mary Kalantzis; Bill Cope – Reading Research Quarterly, 2025
The latest mutation of Artificial Intelligence, Generative AI, is more than anything a technology of writing. It is a machine that can write. In a world-historical frame, the significance of this cannot be understated. This is a technology in which the unnatural language of code tangles with the natural language of everyday life. Its form of…
Descriptors: Artificial Intelligence, Natural Language Processing, Literacy Education, Technology Uses in Education
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Yujia Liu; Emily K. Penner; Sabrina Solanki; Xuehan Zhou – Journal of Education Human Resources, 2025
Identifying high-quality educators at the point of hire can reduce future recruitment costs and minimize the impact of attrition on school organizations and student learning. One low-cost way to screen applicants and learn about their beliefs, values, and pedagogy is through their short-essay writing samples. However, there is limited research…
Descriptors: Teacher Selection, Screening Tests, Essays, Job Applicants
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Long Zhang; Khe Foon Hew – Education and Information Technologies, 2025
Although self-regulated learning (SRL) plays an important role in supporting online learning performance, the lack of student self-regulation skills poses a persistent problem to many educators. Recommender systems have the potential to promote SRL by delivering personalized feedback and tailoring learning strategies to meet individual learners'…
Descriptors: Independent Study, Electronic Learning, Online Courses, Artificial Intelligence
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Caihong Feng; Jingyu Liu; Jianhua Wang; Yunhong Ding; Weidong Ji – Education and Information Technologies, 2025
Student academic performance prediction is a significant area of study in the realm of education that has drawn the interest and investigation of numerous scholars. The current approaches for student academic performance prediction mainly rely on the educational information provided by educational system, ignoring the information on students'…
Descriptors: Academic Achievement, Prediction, Models, Student Behavior
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Ying Liu; Sastra Laoakka – International Journal of Education and Literacy Studies, 2025
Sichuan embroidery, as one of China's traditional intangible cultural heritages, is renowned worldwide for its exquisite craftsmanship, profound cultural connotations, and unique artistic value. However, in the face of the impacts of modernization and globalization, the inheritance and development of Sichuan embroidery are facing numerous…
Descriptors: Handicrafts, Cultural Activities, Cultural Maintenance, Preservation
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