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Reinholz, Daniel L. – International Journal of Research in Undergraduate Mathematics Education, 2022
This paper utilizes poststructural theory to analyze student artifacts that were collected from a history of mathematics course. The course was designed to counter three types of mathematical narratives, relating to: 1) race, 2) intelligence, and 3) innateness. To address these narratives, the course highlighted the contributions of communities of…
Descriptors: Intelligence, Mathematics Education, Educational History, Racial Bias
Womack, Sean R.; Beam, Christopher R.; Davis, Deborah Winders; Finkel, Deborah; Turkheimer, Eric – Developmental Psychology, 2022
Twins regularly score nearly a standard deviation below the population mean on standardized measures of cognitive development in infancy but recover to the population mean by early childhood, making rapid gains through the toddler years. To date, only polynomial growth models have been fit to model cognitive recovery across childhood, limiting the…
Descriptors: Twins, Cognitive Ability, Genetics, Environmental Influences
Hu, Yung-Hsiang – Education and Information Technologies, 2022
The research presents precision education that aims to regulate students' behaviors through the learning analytics dashboard (LAD) in the AI-supported smart learning environment (SLE). The LAD basically tracks and visualizes traces of learning actions to make students aware of their learning behaviors and reflect these against the agreed goals.…
Descriptors: Precision Teaching, Artificial Intelligence, Educational Environment, Student Behavior
Gulson, Kalervo N.; Witzenberger, Kevin – Journal of Education Policy, 2022
Artificial Intelligence has the potential to be an important part of education governance. It is already being built into everything from business intelligence platforms to real-time online testing. In this paper, we aim to understand how AI becomes, and forms, a legitimate part of authority in contemporary education governance in what we call the…
Descriptors: Artificial Intelligence, Governance, Educational Technology, Automation
Cece, Valérian; Guillet-Descas, Emma; Lentillon-Kaestner, Vanessa – Psychology in the Schools, 2022
This study aimed to explore the longitudinal trajectories of teacher burnout and vigour across the school year and whether teacher emotional intelligence (EI) at the beginning of the school year would predict membership in the trajectories. A sample of 311 school teachers (M[subscript age] = 42.40 years ± 9.64 years, aged: 24-61) reported their…
Descriptors: Teacher Burnout, Predictor Variables, Emotional Intelligence, Teacher Motivation
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
Liebhaber, Karen Powers – ProQuest LLC, 2022
Higher education (HIED) presidents face a wide variety of competing demands and pressures. High emotional intelligence (EI) has been found to be effective in good leadership, but few studies exist which examine HIED presidents' EI. This quantitative growth model study attempted to expand the understanding of EI and its source of change among HIED…
Descriptors: College Presidents, Public Relations, Writing (Composition), Emotional Intelligence
Maidment, Tristan; Yu, Mingzhi; Lobczowski, Nikki; Kovashka, Adriana; Walker, Erin; Litman, Diane; Nokes-Malach, Timothy – International Educational Data Mining Society, 2022
Working collaboratively in groups can positively impact performance and student engagement. Intelligent social agents can provide a source of personalized support for students, and their benefits likely extend to collaborative settings, but it is difficult to determine how these agents should interact with students. Reinforcement learning (RL)…
Descriptors: Robotics, Cooperative Learning, Artificial Intelligence, Training
Abdallah Obeidat, Fadel Ali; Saleh, Salmiza – Journal of Curriculum and Teaching, 2022
This study aims to investigate the relationship between levels of fluid intelligence and higher-order thinking skills according to Bloom's three levels classification (analysis, evaluation, creation) among sixth grade students in Jordan in the subject of work and energy as one of the science book topics for the first semester of the academic year…
Descriptors: Foreign Countries, Grade 6, Middle School Students, Thinking Skills
Jones, Rebekah; Zane, Emily R.; Grossman, Ruth B. – Autism & Developmental Language Impairments, 2022
Background & Aims: Discourse markers, such as "well" or "like," serve a variety of functions to support conversational reciprocity: filling pauses, aiding word-finding, and modulating turn-taking by holding the conversational floor. Previous research shows that autistic individuals use discourse markers less frequently than…
Descriptors: Autism Spectrum Disorders, Language Usage, Incidence, Preadolescents
Walczak-Kozlowska, Tamara; Chrzan-Detkos, Magdalena; Harciarek, Michal – Early Education and Development, 2022
Research Findings: For early prevention of academic difficulties, it is crucial to identify developmental trajectories of preterm children with focus on the efficiency of basic cognitive processes. Thus, the aim of this study was to characterize school readiness of children born before 32 weeks of gestation and to investigate its potential…
Descriptors: Foreign Countries, Children, Premature Infants, Attention
Shin, Jinnie; Gierl, Mark J. – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) technologies provide innovative solutions to score the written essays with a much shorter time span and at a fraction of the current cost. Traditionally, AES emphasized the importance of capturing the "coherence" of writing because abundant evidence indicated the connection between coherence and the overall…
Descriptors: Computer Assisted Testing, Scoring, Essays, Automation
Chalioti, Evangelia – Journal of Economic Education, 2022
The author of this article describes the content of her course titled "Economics of Artificial Intelligence and Innovation." The course is offered by the Department of Economics of Yale University at a senior undergraduate level. The author also teaches this course at the MBA program of the Yale School of Management in another format.…
Descriptors: Course Content, Economics, Artificial Intelligence, Innovation
Coro, Gianpaolo; Bardelli, Serena; Cuttano, Armando; Fossati, Nicoletta – Education and Information Technologies, 2022
Training through simulation in neonatology relies on sophisticated simulation devices that give realistic feedback to trainees during simulated scenarios. It aims at training highly specialised medical teams in established operational skills, timely clinical manoeuvres, and successful synergy with other professionals. For effective teaching, it is…
Descriptors: Training, Neonates, Medical Education, Computer Simulation
Yaneva, Victoria; Clauser, Brian E.; Morales, Amy; Paniagua, Miguel – Advances in Health Sciences Education, 2022
Understanding the response process used by test takers when responding to multiple-choice questions (MCQs) is particularly important in evaluating the validity of score interpretations. Previous authors have recommended eye-tracking technology as a useful approach for collecting data on the processes test taker's use to respond to test questions.…
Descriptors: Eye Movements, Artificial Intelligence, Scores, Test Interpretation

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