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Emmanuel Dumbuya – Online Submission, 2025
Artificial Intelligence (AI) is revolutionizing industries, yet its integration into education remains underutilized. This paper advocates for embedding AI tools in curriculum design to personalize learning experiences, address diverse student needs, and equip learners with future-ready skills. By leveraging AI's capabilities, educators can create…
Descriptors: Artificial Intelligence, Curriculum Design, Individualized Instruction, Technology Uses in Education
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
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
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
Noah L. Schroeder; Robert O. Davis; Eunbyul Yang – Journal of Educational Computing Research, 2025
Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Khalid Arar; Ahmed Tlili; Lori Schunka; Soheil Salha; Anna Saiti – Leadership and Policy in Schools, 2025
The intersection of Artificial Intelligence (AI) and educational leadership has garnered significant attention in recent years due to advancements in knowledge technology and digital literacy. Despite growing interest from scholars and policymakers over the past decade, a comprehensive review of AI in the context of educational leadership and…
Descriptors: Artificial Intelligence, Educational Administration, Technology Uses in Education, Technology Integration
Awol Endris; Ahmed Tlili; Ronghuai Huang; Lin Xu; TingWen Chang; Sanjaya Mishra – Leadership and Policy in Schools, 2025
Governments and private sectors are now putting in place the needed resources and infrastructure to harness the power of emerging technologies in education. One of these technologies is Artificial Intelligence (AI) which gained increasing attention due to its potential to enhance learning and teaching experiences, hence achieving better learning…
Descriptors: Policy Formation, Artificial Intelligence, Technology Uses in Education, Sustainable Development
Mirjam Sophia Glessmer; Rachel Forsyth – Teaching & Learning Inquiry, 2025
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…
Descriptors: Artificial Intelligence, Research Methodology, Data Analysis, Scholarship
Joaquín Rodríguez-Ruiz; Inmaculada Marín-López; Raquel Espejo-Siles – Education and Information Technologies, 2025
The present study aimed to analyse if self-control, self-esteem and self-efficacy are related to the use of artificial intelligence tools. These tools are being incorporated to educational practices, but there is a lack of empirical evidence about the relation between artificial intelligence use by students and their personal and psychological…
Descriptors: Artificial Intelligence, Self Control, Self Esteem, Self Efficacy
Kangkang Li; Chengyang Qian; Xianmin Yang – Education and Information Technologies, 2025
In learnersourcing, automatic evaluation of student-generated content (SGC) is significant as it streamlines the evaluation process, provides timely feedback, and enhances the objectivity of grading, ultimately supporting more effective and efficient learning outcomes. However, the methods of aggregating students' evaluations of SGC face the…
Descriptors: Student Developed Materials, Educational Quality, Automation, Artificial Intelligence
Atharva Naik; Jessica Ruhan Yin; Anusha Kamath; Qianou Ma; Sherry Tongshuang Wu; R. Charles Murray; Christopher Bogart; Majd Sakr; Carolyn P. Rose – British Journal of Educational Technology, 2025
The relative effectiveness of reflection either through student generation of contrasting cases or through provided contrasting cases is not well-established for adult learners. This paper presents a classroom study to investigate this comparison in a college level Computer Science (CS) course where groups of students worked collaboratively to…
Descriptors: Cooperative Learning, Reflection, College Students, Computer Science Education
Todd Cherner; Teresa S. Foulger; Margaret Donnelly – TechTrends: Linking Research and Practice to Improve Learning, 2025
The ethics surrounding the development and deployment of generative artificial intelligence (genAI) is an important topic as institutions of higher education adopt the technology for educational purposes. Concurrently, stakeholders from various organizations have reviewed the literature about the ethics of genAI and proposed frameworks about it.…
Descriptors: Artificial Intelligence, Natural Language Processing, Decision Making, Models
Alberto Gandolfi – International Journal of Artificial Intelligence in Education, 2025
In this paper, we initially investigate the capabilities of GPT-3 5 and GPT-4 in solving college-level calculus problems, an essential segment of mathematics that remains under-explored so far. Although improving upon earlier versions, GPT-4 attains approximately 65% accuracy for standard problems and decreases to 20% for competition-like…
Descriptors: Artificial Intelligence, Reliability, Problem Solving, Mathematics Skills
Mark Feng Teng – European Journal of Education, 2025
The present study explored EFL students' perceptions and experiences in utilising ChatGPT to seek feedback for writing. The present study also examined how levels of metacognitive awareness (MA) influenced these perceptions and experiences. Utilising a mixed-method research design, the study collected data from a total of 40 EFL undergraduates…
Descriptors: English (Second Language), Student Attitudes, Feedback (Response), Writing (Composition)