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Akash Patel; Colleen Addicott; Janet Buelow – European Journal of Open, Distance and E-Learning, 2023
This study explored how online students perceived their instructors' emotional intelligence (EI) and its impact on their learning engagement. Using eight EI behaviours of online instructors and a learning engagement instrument, 100 online university students were surveyed regarding their observation of those EI behaviours and their learning…
Descriptors: Electronic Learning, Online Courses, Student Attitudes, Emotional Intelligence
Alfredo J. Leon; Dinesh Vidhani – Journal of Chemical Education, 2023
Artificial intelligence (AI) technology has the potential to revolutionize the education sector. This study sought to determine the efficacy of ChatGPT to correctly answer questions a learner would use and to elucidate how the AI was processing potential prompts. Our goal was to evaluate the role of prompt formats, response consistency, and…
Descriptors: Artificial Intelligence, Educational Technology, Program Effectiveness, Prompting
Betty Exintaris; Nilushi Karunaratne; Elizabeth Yuriev – Journal of Chemical Education, 2023
Successful problem solving is a complex process that requires content knowledge, process skills, developed critical thinking, metacognitive awareness, and deep conceptual reasoning. Teaching approaches to support students developing problem-solving skills include worked examples, metacognitive and instructional scaffolding, and variations of these…
Descriptors: College Bound Students, Problem Solving, Metacognition, Scaffolding (Teaching Technique)
Adam Sales; Ethan Prihar; Johann Gagnon-Bartsch; Neil Heffernan – Society for Research on Educational Effectiveness, 2023
Background: Randomized controlled trials (RCTs) give unbiased estimates of average effects. However, positive effects for the majority of students may mask harmful effects for smaller subgroups, and RCTs often have too small a sample to estimate these subgroup effects. In many RCTs, covariate and outcome data are drawn from a larger database. For…
Descriptors: Learning Analytics, Randomized Controlled Trials, Data Use, Accuracy
Gellai, Dániel Béla – ECNU Review of Education, 2023
Purpose: There is limited scholarship on artificial intelligence (AI) in higher education governance, despite the growing prevalence of AI-powered technologies in many fields, including education. However, as the technology is still nascent and has yet to reach its full potential, ideas and arguments abound, championing or cautioning against the…
Descriptors: Artificial Intelligence, Higher Education, Governance, Technology Uses in Education
Tschisgale, Paul; Wulff, Peter; Kubsch, Marcus – Physical Review Physics Education Research, 2023
[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical Examination.] Qualitative research methods have provided key insights in physics education research (PER) by drawing on non-numerical data such as text or video data. While different methods towards qualitative research exist, they share two essential steps:…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Grounded Theory
Reed, Janet; Alterio, Brittany; Coblenz, Hannah; O'Lear, Taylor; Metz, Tomek – Journal of Interactive Learning Research, 2023
Generative artificial intelligence (AI) allows for the transformation of written text into artistic images of varying styles. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analyses in education. The extent to which AI-generated images can be used in nursing education…
Descriptors: Nursing Education, Artificial Intelligence, Undergraduate Students, Teaching Methods
Annalisa L. Raymer; David Nelson – American Association for Adult and Continuing Education, 2023
The Community Learning and Service Partnership (CLASP) being named the recipient of the Malcolm Knowles Award prompts retrospection and raises the question of what to present at the American Association for Adult and Continuing Education (AAACE) conference. What is the overarching narrative of CLASP? Given the international and intergenerational…
Descriptors: Awards, Service Learning, Partnerships in Education, Artificial Intelligence
Chelsea M. Parlett-Pelleriti; Elizabeth Stevens; Dennis Dixon; Erik J. Linstead – Review Journal of Autism and Developmental Disorders, 2023
Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…
Descriptors: Artificial Intelligence, Autism Spectrum Disorders, Classification, Supervision
The Platformization of Writing Instruction: Considering Educational Equity in New Learning Ecologies
Amy Stornaiuolo; Jennifer Higgs; T. Philip Nichols; Robert Jean Leblanc; Roberto Santiago de Roock – Review of Research in Education, 2023
This chapter provides a systematic review of research published between 2006 and 2022 on the use of artificial intelligence (AI) platforms in writing instruction. We theorize writing and platforms as complex ecologies, investigating the interplay of their relations and implications for educational equity. Our findings suggested three functional…
Descriptors: Writing Instruction, Artificial Intelligence, Technology Uses in Education, Equal Education
Kranzler, John H.; Yaraghchi, Melina; Matthews, Katherine; Otero-Valles, Luis – Contemporary School Psychology, 2020
The aim of this study was to examine whether the use of a response-to-intervention (RTI) model to identify specific learning disability (SLD) over-identifies children and youth with population-relative (normative) weaknesses in general cognitive ability (IQs < 90). We compared the overall score on the Kaufman Brief Intelligence Test-Second…
Descriptors: Response to Intervention, Disability Identification, Learning Disabilities, Intelligence Tests
Atmaca, Furkan; Baloglu, Mustafa – Gifted Child Quarterly, 2022
We compared the Wechsler scores of individuals with twice-exceptionality (2e) and giftedness using a three-level Bayesian meta-analysis. Ninety-five effect sizes were calculated from 15 studies (n = 2,106). Results show that individuals with 2e who have learning disabilities perform lower than individuals with giftedness in Full-Scale Intelligence…
Descriptors: Meta Analysis, Gifted Disabled, Intelligence Quotient, Identification
Langenfeld, Thomas – Journal of Applied Testing Technology, 2022
The turn to online learning and training programs as a response to challenging times (i.e., the COVID-19 crisis) necessitated the need for internet-based testing solutions. Researchers generally have found that Unproctored Internet Testing (UIT) for high-stakes cognitive ability assessments results in higher scores than proctored assessments. Live…
Descriptors: Internet, Computer Assisted Testing, COVID-19, Pandemics
Sanchez, Christine; Brigaud, Emmanuelle; Moliner, Pascal; Blanc, Nathalie – Journal for the Education of the Gifted, 2022
This study explored the Social Representations (SRs) of Gifted Children in France, both in the general adult population and in different childhood professionals's populations (i.e., primary school teachers, secondary school teachers, and psychologists). Two binary SRs emerged from the data obtained from 608 participants. In the general population,…
Descriptors: Foreign Countries, Children, Adults, Intelligence
Xu, Ying; Aubele, Joseph; Vigil, Valery; Bustamante, Andres S.; Kim, Young-Suk; Warschauer, Mark – Child Development, 2022
Dialogic reading, when children are read a storybook and engaged in relevant conversation, is a powerful strategy for fostering language development. With the development of artificial intelligence, conversational agents can engage children in elements of dialogic reading. This study examined whether a conversational agent can improve children's…
Descriptors: Dialogs (Language), Story Telling, Oral Reading, Artificial Intelligence

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