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Bingham, Mindy – Childhood Education, 2023
While the author can see many ways that artificial intelligence can be used as an adult, a professional, and a business owner, she also realized what it was going to do for children who are learning their basic skills, such as how to write, how to work with numbers, how to think for themselves, and how to make considered choices. What would this…
Descriptors: Artificial Intelligence, Technology Uses in Education, Children, Cognitive Development
Snekha, S.; Ayyanathan, N. – Shanlax International Journal of Education, 2023
An educational customer relationship management (CRM) Chatbot is a learner support service automation tool that enhances the human computer interaction and user experience in higher education institutions through effective online conversation and information exchange. The machine with embedded knowledge is trained to identify the sentences and…
Descriptors: Computer Software, Learning Management Systems, Educational Technology, Man Machine Systems
Maker, C. June; Pease, Randy; Zimmerman, Robert – Roeper Review, 2023
Although writers have advocated a shift from the gifted child to a talent development paradigm, changes in methods for identifying and cultivating talent in STEM are needed. We present evidence that using a talent development paradigm supported by differentiation with an organicist rather than a mechanistic perspective was effective in identifying…
Descriptors: STEM Education, Creative Thinking, Problem Solving, Academically Gifted
Imhof, Christof; Comsa, Ioan-Sorin; Hlosta, Martin; Parsaeifard, Behnam; Moser, Ivan; Bergamin, Per – IEEE Transactions on Learning Technologies, 2023
Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include a higher risk of drop-outs, increased stress, and reduced mood. Due to the rise of learning management systems (LMS) and learning analytics (LA), indicators of such behavior can be detected, enabling predictions of…
Descriptors: Prediction, Time Management, Electronic Learning, Artificial Intelligence
Divasón, Jose; Martinez-de-Pison, Francisco Javier; Romero, Ana; Saenz-de-Cabezon, Eduardo – IEEE Transactions on Learning Technologies, 2023
The evaluation of student projects is a difficult task, especially when they involve both a technical and a creative component. We propose an artificial intelligence (AI)-based methodology to help in the evaluation of complex projects in engineering and computer science courses. This methodology is intended to evaluate the assessment process…
Descriptors: Student Projects, Student Evaluation, Artificial Intelligence, Models
Ciampa, Katia; Wolfe, Zora M.; Bronstein, Briana – Journal of Adolescent & Adult Literacy, 2023
As artificial intelligence (AI) technologies continue to advance, their integration into secondary and postsecondary education offers a multitude of opportunities for adolescent and adult learners. In this article, we delve into the advantages of integrating AI into literacy education, emphasizing its capacity to enhance writing skills, provide…
Descriptors: Digital Literacy, Artificial Intelligence, Adult Education, Literacy Education
Eteng-Uket, Stella; Iruloh, Betty-Ruth Ngozi – Journal of Pedagogical Research, 2023
Intellectual ability, also known as intelligence, is a multifaceted construct that is typically measured through intelligence tests. The importance and complexity of intellectual ability have made it of significant interest to researchers and educators. This is coupled with the fact that it is one phenomenon that is influenced by a variety of…
Descriptors: Cognitive Ability, Gender Differences, Age Differences, Educational Attainment
Mastrothanasis, Konstantinos; Zervoudakis, Konstantinos; Kladaki, Maria; Tsafarakis, Stelios – Education and Information Technologies, 2023
Theatrical performance constitutes a complicated way for students to express and to communicate with each other, since it targets both various artistic and educational goals. Even though it constitutes a top moment of students' expression, several students do not feel comfortable when participating in such cultural activities, as performance…
Descriptors: Anxiety, Public Speaking, Evaluation Methods, Artificial Intelligence
Gaskins, Nettrice – TechTrends: Linking Research and Practice to Improve Learning, 2023
This paper reviews algorithmic or artificial intelligence (AI) bias in education technology, especially through the lenses of speculative fiction, speculative and liberatory design. It discusses the causes of the bias and reviews literature on various ways that algorithmic/AI bias manifests in education and in communities that are underrepresented…
Descriptors: Algorithms, Bias, Artificial Intelligence, Educational Technology
Rahm, Lina – Learning, Media and Technology, 2023
The relationship between technical development and education is a reciprocal one, where education always stands in relation to those skills, competencies, and techniques that are anticipated as necessary in a technological future. At the same time, skills and competencies are also necessary to drive innovation and technical development for the…
Descriptors: Automation, Artificial Intelligence, Educational History, Genealogy
Lahoud, Christine; Moussa, Sherin; Obeid, Charbel; El Khoury, Hicham; Champin, Pierre-Antoine – Education and Information Technologies, 2023
Academic advising is inhibited at most of the high schools to help students identify appropriate academic pathways. The choice of a career domain is significantly influenced by the complexity of life and the volatility of the labor market. Thus, high school students feel confused during the shift period from high school to university, especially…
Descriptors: Academic Advising, Artificial Intelligence, Majors (Students), Career Guidance
Oluwafemi, Olaolu Joseph; Ametepe, Paul Kojo – Journal of Workplace Learning, 2023
Purpose: Despite the enormous investment in employee training, training effectiveness is often hampered by insufficient transfer of learning (TOL) among trainees, making the return on training investment suboptimal. The challenge of effective TOL among employees is enormous, including personal and organizational factors, and research exploring…
Descriptors: Government Employees, Emotional Intelligence, Organizational Climate, Transfer of Training
Yüregilli Göksu, Derya; Duran, Volkan – International Journal of Curriculum and Instruction, 2023
The aim of the study is the examination of the flipped classroom approach used in foreign language lessons on the opinions of gifted students in the context of bibliometric analysis of the literature and the analysis of GPT-3 model chatbot. In this study, the descriptive method was used. It is aimed to obtain in-depth information according to…
Descriptors: Flipped Classroom, Bibliometrics, Artificial Intelligence, Models
Chan, Cecilia Ka Yuk; Hu, Wenjie – International Journal of Educational Technology in Higher Education, 2023
This study explores university students' perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed…
Descriptors: Artificial Intelligence, Barriers, Educational Benefits, Higher Education
Pfeiffer, Karin A.; Lisee, Caroline; Westgate, Bradford S.; Kalfsbeek, Cheyenne; Kuenze, Christopher; Bell, David; Cadmus-Bertram, Lisa; Montoye, Alexander H.K. – Measurement in Physical Education and Exercise Science, 2023
A universal approach to characterizing sport-related physical activity (PA) types in sport settings does not yet exist. Young adults (n = 30), 19-33 years, engaged in a 15-min activity session, performing warm-ups, 3-on-3 soccer, and 3-on-3 basketball. Videos were recorded and manually coded as criterion PA types (walking, running, jumping, rapid…
Descriptors: Athletics, Physical Activity Level, Barriers, Measurement Equipment

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