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Direct linkDerron Terold Jake Strickland I – ProQuest LLC, 2022
Using emotional intelligence, teacher self-efficacy, and discrepancy as theoretical lenses, this multivariate study explored the relationship that exist between emotional intelligence, student teacher's actual and ideal self-efficacy, and discrepancy. Previous research on the impact of student teachers' experiences with emotional intelligence (EI)…
Descriptors: Student Teachers, Emotional Intelligence, Self Efficacy, Student Teacher Attitudes
Peer reviewed
Download full textBryan, Victoria M.; Mayer, John D. – Journal of Intelligence, 2021
The Cattell-Horn-Carroll (CHC) or three-stratum model of intelligence envisions human intelligence as a hierarchy. General intelligence (g) is situated at the top, under which are a group of broad intelligences such as verbal, visuospatial processing, and quantitative knowledge that pertain to more specific areas of reasoning. Some broad…
Descriptors: Culture Fair Tests, Intelligence Tests, Intelligence, Models
Bridget Letuzinger; Derek B. Rodgers; Mackenzie E. Savaiano – Education and Training in Autism and Developmental Disabilities, 2024
The current study examined the effectiveness of a reading curriculum of explicit instruction on the letter-sound knowledge of a sample of elementary-aged students with Down syndrome. The procedures were adapted from prior research (King et al., 2020; Lemons et al., 2018; Lemons et al., 2015). Three participants between 9 and 11 years old…
Descriptors: Phonics, Spelling Instruction, Down Syndrome, Intervention
Rianne Suelmann; Eric Blaauw – Journal of Intellectual & Developmental Disability, 2025
Background: Addiction medicine still largely neglects the topic of mild and borderline intellectual disabilities (MBID), although patients with MBID are considered a risk group for substance-related problems and offending behaviour. This study aimed to explore the cognitive and adaptive impairments of inpatients in forensic addiction mental health…
Descriptors: Substance Abuse, Mild Intellectual Disability, At Risk Persons, Mental Health
Robison, Matthew K.; Brewer, Gene A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
The present study examined individual differences in 3 cognitive abilities: attention control (AC), working memory capacity (WMC), and fluid intelligence (gF) as they relate the tendency to experience task-unrelated thoughts (TUTs) and the regulation of arousal. Cognitive abilities were measured with a battery of 9 laboratory tasks, TUTs were…
Descriptors: Individual Differences, Short Term Memory, Attention Control, Intelligence
Martschenko, Daphne Oluwaseun – Critical Studies in Education, 2023
This paper utilizes the concept of 'discriminate biopower' to explore how advancements in social and behavioral genomics might inform the racially exclusionary nature of one of the most inequitable and academically coveted environments in American public education: gifted education. In its birth, gifted education became a mechanism for regulating…
Descriptors: Academically Gifted, Gifted Education, Genetics, Equal Education
Schmank, Christopher J.; Goring, Sara Anne; Kovacs, Kristof; Conway, Andrew R. A. – Journal of Intelligence, 2021
In a recent publication in the Journal of Intelligence, Dennis McFarland mischaracterized previous research using latent variable and psychometric network modeling to investigate the structure of intelligence. Misconceptions presented by McFarland are identified and discussed. We reiterate and clarify the goal of our previous research on network…
Descriptors: Intelligence, Psychometrics, Cognitive Structures, Structural Equation Models
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Hsu, Yu-Chang; Ching, Yu-Hui – TechTrends: Linking Research and Practice to Improve Learning, 2023
Generative artificial intelligence (GenAI), such as ChatGPT, has taken the world by storm. ChatGPT attracted 1 million users in 5 days and 100 million users in 2 months since its launch in November 2022. In this first article of a two-part series, we discuss the overall dynamic frontier of GenAI, its potential uses and benefits in education,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits
Birks, Daniel; Clare, Joseph – International Journal for Educational Integrity, 2023
This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…
Descriptors: Artificial Intelligence, Cheating, Student Behavior, Prevention
Florent Vinchon; Todd Lubart; Sabrina Bartolotta; Valentin Gironnay; Marion Botella; Samira Bourgeois-Bougrine; Jean-Marie Burkhardt; Nathalie Bonnardel; Giovanni Emanuele Corazza; Vlad Glaveanu; Michael Hanchett Hanson; Zorana Ivcevic; Maciej Karwowski; James C. Kaufman; Takeshi Okada; Roni Reiter-Palmon; Andrea Gaggioli – Journal of Creative Behavior, 2023
With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and challenges. This manifesto explores several scenarios of human--machine collaboration on creative tasks and proposes "fundamental laws of generative AI" to reinforce the responsible and ethical use of AI in the creativity field. Four…
Descriptors: Artificial Intelligence, Creativity, Man Machine Systems, Ethics
Tianjiao Wang; Xiaona Xia – SAGE Open, 2023
The study of learning behaviors with multi features is of great significance for interactive cooperation. The data prediction and decision are to realize the comprehensive analysis and value mining. In this study, hierarchical learning behavior based on feature cluster is proposed. Based on the massive data in interactive learning environment, the…
Descriptors: Cluster Grouping, Mathematical Models, Artificial Intelligence, Learning Analytics
Lehong Shi – ProQuest LLC, 2023
Artificial intelligence (AI), utilizing machine learning techniques to 'learn' from data, as humans learn from experiences, has the promise to perform various cognitive tasks, such as learning, thinking, problem-solving, and decision-making, which usually demands human cognition. In recent decades, the remarkable advancements in AI have led to its…
Descriptors: Artificial Intelligence, Educational Technology, Teaching Methods, Teacher Role
Pierrette Renee Dagg – ProQuest LLC, 2023
Software powered by artificial intelligence (AI) is used widely in the United States in education as a tool for teaching, administration, student assessment, and other purposes. Curriculum delivery, tutoring, support for students with disabilities and resource allocations are some of the applications of the technology. The normative, ideological,…
Descriptors: Artificial Intelligence, Ethics, Philosophy, Technology Uses in Education
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
