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Jung, Rex E.; Hunter, Dan R. – Creativity Research Journal, 2023
Psychologist J. P. Guildford issued a challenge to study creativity nearly 70 years ago. How well have we done and what might the next steps be in our endeavors to understand creativity? The field of creativity research has examined the internal thinking process of creativity, largely through measures of divergent thinking and remote associates.…
Descriptors: Creativity, Creative Thinking, Success, Intelligence
Rahm, Lina; Rahm-Skågeby, Jörgen – British Journal of Educational Technology, 2023
This paper suggests that artificial intelligence in education (AIEd) can be fruitfully analysed as 'policies frozen in silicon'. This means that they exist as both materialised and proposed problematisations (problem representations with corresponding solutions). As a theoretical and analytical response, this paper puts forward a heuristic lens…
Descriptors: Artificial Intelligence, Technology Uses in Education, Heuristics, Problem Solving
Kim, Keunjae; Kwon, Kyungbin; Ottenbreit-Leftwich, Anne; Bae, Haesol; Glazewski, Krista – Education and Information Technologies, 2023
This study aims to explore the middle schoolers' common naive conceptions of AI and the evolution of these conceptions during an AI summer camp. Data were collected from 14 middle school students (12 boys and 2 girls) from video observations and learning artifacts. The findings revealed 6 naive conceptions about AI concepts: (1) AI was the same as…
Descriptors: Middle School Students, Misconceptions, Artificial Intelligence, Summer Programs
Blaik-Hourani, Rida; Litz, David; Ali, Nagla; Azaza, Mohamed; Parkman, Scott – Educational Research for Policy and Practice, 2023
Emotional intelligence (EI) has been widely researched, but it has not been studied within the context of school leadership in Abu Dhabi. The present study aimed to explore EI in the praxis of school leaders and managers by applying Goleman's five EI dimensions--self-awareness, empathy, managing emotions, motivating oneself and others, and social…
Descriptors: Foreign Countries, Emotional Intelligence, Educational Improvement, Barriers
Buckingham Shum, Simon; Lim, Lisa-Angelique; Boud, David; Bearman, Margaret; Dawson, Phillip – International Journal of Educational Technology in Higher Education, 2023
Effective learning depends on effective feedback, which in turn requires a set of skills, dispositions and practices on the part of both students and teachers which have been termed "feedback literacy." A previously published teacher "feedback literacy competency framework" has identified what is needed by teachers to implement…
Descriptors: Automation, Feedback (Response), Learning Analytics, Artificial Intelligence
Hall, Michelle; Lees, Melinda; Serich, Cameron; Hunt, Richard – National Centre for Vocational Education Research (NCVER), 2023
This paper summarises exploratory analysis undertaken to evaluate the effectiveness of using machine learning approaches to calculate projected completion rates for vocational education and training (VET) programs, and compares this with the current approach used at the National Centre for Vocational Education Research (NCVER) -- Markov chains…
Descriptors: Vocational Education, Graduation Rate, Artificial Intelligence, Prediction
Butler, Brenda C. – ProQuest LLC, 2023
A large percentage of teachers in U. S. public schools are White. In contrast, most students in U. S. public schools are students of color. The racial imbalance results in a cultural mismatch creating a cultural gap between teachers and the students of color they are assigned to teach. Although teacher preparation programs produce teachers with…
Descriptors: Multicultural Education, Cultural Awareness, Intervention, Preservice Teachers
Nuangchalerm, Prasart; Prachagool, Veena – Online Submission, 2023
In recent years, the integration approach of Artificial Intelligence (AI) is called for many disciplines, it also STEM education has paved the way for transformative advancements. This paper provides an example of AI-driven learning analytics within the context of STEM education. It provides a thorough analysis of the AI-driven STEM curriculum and…
Descriptors: Artificial Intelligence, Learning Analytics, STEM Education, Technology Uses in Education
Mishra, Punya; Warr, Melissa; Islam, Rezwana – Journal of Digital Learning in Teacher Education, 2023
The educational impact of Generative AI (GenAI) technologies, such as ChatGPT, has received significant attention. We use the TPACK framework to discuss the types of knowledge teachers require to effectively use GenAI tools. We highlight the qualities of GenAI that make it like other digital technologies (they are protean, opaque, and unstable) as…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Artificial Intelligence, Teacher Education
Jeff Schiel; Becky L. Bobek; Joyce Z. Schnieders – ACT, Inc., 2023
There is growing interest in artificial intelligence (AI) tools, especially high-profile tools like ChatGPT, and these tools now appear to be part of the education experience for many high school students. To investigate students' use of AI tools for school assignments, their impressions of how using the tools might affect them cognitively and…
Descriptors: High School Students, Artificial Intelligence, Learner Engagement, Technology Uses in Education
Rui Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the continuous advancement of curriculum reform, how to improve the classroom efficiency and optimize the learning classroom model has become a topic of increasing concern for scholars and teachers. With the development and popularization of computer network, distance education has been widely used. It is in this case that the resource…
Descriptors: Artificial Intelligence, Courseware, Multimedia Instruction, Online Courses
Debora Weber-Wulff; Alla Anohina-Naumeca; Sonja Bjelobaba; Tomáš Foltýnek; Jean Guerrero-Dib; Olumide Popoola; Petr Šigut; Lorna Waddington – International Journal for Educational Integrity, 2023
Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching for solutions to detect such content. The paper examines the general functionality of detection tools for…
Descriptors: Artificial Intelligence, Identification, Man Machine Systems, Accuracy
Mahir Pradana; Hanifah Putri Elisa; Syarifuddin Syarifuddin – Cogent Education, 2023
This article aims to provide a review of existing research on the use of OpenAI ChatGPT in education using bibliometric analysis and systematic literature review. We explored published articles to observe the leading contributors to this field, the important subtopics, and the potential study in the future. We discovered that there is already a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Literature Reviews, Bibliometrics
Reet Kasepalu; Pankaj Chejara; Luis P. Prieto; Tobias Ley – International Journal of Computer-Supported Collaborative Learning, 2023
Teachers in a collaborative learning (CL) environment have the demanding task of monitoring several groups of students at the same time and intervening when needed. This withitness (both the situational awareness and interventions taken in class) of the teacher might be increased with the help of a guiding dashboard alerting the teacher of…
Descriptors: Cooperative Learning, Teacher Behavior, Observation, Educational Technology
American Association of State Colleges and Universities, 2023
A growing body of research has shown that AI can play a critical role in helping institutions tackle pernicious challenges -- from "summer melt" to student retention, academic success, and well-being. That's more important than ever at a time when colleges and universities are grappling with shifting demographics, declining enrollment,…
Descriptors: Artificial Intelligence, Glossaries, Leadership, Universities

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