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XinXiu Yang – International Journal of Information and Communication Technology Education, 2024
The objective of this work is to predict the employment rate of students based on the information in the SSM (student status management) in colleges and universities. Firstly, the relevant content of SSM is introduced. Secondly, the BP (Back Propagation) neural network, the LM (Levenberg Marquardt) algorithm, and the BR (Bayesian Regularization)…
Descriptors: Prediction, Employment Patterns, College Students, Algorithms
Rahul Kumar – Brock Education: A Journal of Educational Research and Practice, 2024
This essay critiques the emphasis on detecting artificial intelligence (AI) usage in student submissions and advocates for a shift towards the meaningful integration of AI in education. Citing data from Turnitin, it highlights the significant yet understated prevalence of AI in academic work. The discussion underscores the ideological, detection,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Identification, Technology Integration
Denitza Anguelova Kurshumova – Discover Education, 2024
The current study was designed within a survey-based quantitative research methodology in order to investigate Bulgarian teachers' familiarity with, use of, and attitudes toward artificial intelligence (AI) at the nascent stage of its integration into the Bulgarian education system. The survey was completed by 2252 teachers, of whom 16.30% were…
Descriptors: Artificial Intelligence, Foreign Countries, Technology Uses in Education, Teacher Attitudes
Elissa Malespina – Knowledge Quest, 2024
In today's rapidly evolving technological landscape, the integration of artificial intelligence (AI) into our daily lives is undeniable. From AI-powered email assistants like Duet AI in Gmail to the ever-present ChatGPT and other generative AI products, AI has become an integral part of our educational and professional environments. Consequently,…
Descriptors: Artificial Intelligence, Administrative Policy, School Libraries, Policy Formation
Li Chen; Dirk Ifenthaler; Jane Yin-Kim Yau; Wenting Sun – Education & Training, 2024
Purpose: The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain. Design/methodology/approach: A scoping review was conducted using six…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Entrepreneurship
Shelley L. Velleman; Vitor N. Guimaraes; Bonita P. Klein-Tasman; Myra J. Huffman; Angela M. Becerra; Carolyn B. Mervis – Journal of Speech, Language, and Hearing Research, 2024
Purpose: The aim of this study was to explore relations between speech sound disorder severity and selective mutism in a group of children with 7q11.23 duplication syndrome (Dup7), a genetic condition predisposing children to childhood apraxia of speech (CAS) and other speech sound disorders and to anxiety disorders, including selective mutism and…
Descriptors: Speech Impairments, Genetic Disorders, Anxiety, Children
Andrew D. Ho – Journal of Educational and Behavioral Statistics, 2024
I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for…
Descriptors: Artificial Intelligence, Measurement, Educational Assessment, Technology Uses in Education
Richard Hannah – ProQuest LLC, 2024
The purpose of this research was to investigate the effects of virtual reality (VR) and emotionally resonant videos on knowledge retention for adult learners at a contractor safety training organization supporting the energy industry. The intent of this research was to determine if traditional computer-based training (CBT) can be made more…
Descriptors: Adult Education, Computer Simulation, Computer Assisted Instruction, Safety Education
Rishwinder Singh Baidwan; Radhika; Rakesh Kumar – Journal of Educational Technology, 2024
Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Models
Farbod Aprin; Pascal Peters; H. Ulrich Hoppe – Education and Information Technologies, 2024
Social media usage has become a daily habit for the younger generation. It can have positive effects on educational processes, but it also raises concerns about harmful content, such as fake news or hate speech. Fake news is often distributed with the intention to manipulate the public opinion by propagating disinformation. This includes the…
Descriptors: Foreign Countries, High School Students, Artificial Intelligence, Critical Thinking
Ann Musgrove; Jillian Powers; Mohammad Azhar; Cristine Yao – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2024
This study examined how an online instructional module that included an unplugged robot design activity integrated computational thinking (CT), assistive technology (AT), and universal design principles into a preservice teacher education class. The research focused on how this module shaped understanding, attitudes, and comfort levels about…
Descriptors: Preservice Teacher Education, Preservice Teachers, Artificial Intelligence, Cognitive Processes
Kok-Sing Tang – Science Education, 2024
Research in languages and literacies in science education (LLSE) has developed substantial theoretical and pedagogical insights into how students learn science through language, discourse, and multimodal representations. At the same time, language is central to the functioning of generative artificial intelligence (GenAI). On this common basis…
Descriptors: Artificial Intelligence, Meta Analysis, Science Education, Language Usage
Mohamed Solih; Nasrulla Ahmed; Visal Moosa; Mariyam Shareefa; Walton Wider – Open Education Studies, 2024
The increasing rate of publications on emotional intelligence, especially regarding student learning, underscores the need to study research trends in this domain. This research utilizes bibliometric and science mapping analyses to generate an overview of research on emotional intelligence in education, using data sourced from SCOPUS. The terms…
Descriptors: Educational Trends, Educational Research, Emotional Intelligence, Bibliometrics
Patrícia Takaki; Moisés Lima Dutra – Education and Information Technologies, 2024
Much of the data produced and consumed by students, teachers, and educational managers is in textual format. Text Mining (TM) and Natural Language Processing (NLP) have been applied in the educational context in different ways. Ideally, such applications combine computational, linguistic, pedagogical, and psychological aspects. This article aims…
Descriptors: Literature Reviews, Higher Education, Distance Education, Content Analysis
UK Department for Education, 2024
Over the last year, interest in and use of generative artificial intelligence (GenAI) has rapidly increased. Although GenAI is not new, recent advances in the underlying technology and greater accessibility mean that the public can now use it more easily. This poses opportunities and challenges for the education sector. The Digital Strategy…
Descriptors: Artificial Intelligence, Technology Uses in Education, Automation, Information Technology

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