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Woods, Isaac L., Jr.; Floyd, Randy G.; Singh, Leah J.; Layton, Haley K.; Norfolk, Philip A.; Farmer, Ryan L. – Journal of Psychoeducational Assessment, 2019
Labels for scores stemming from intelligence tests have been employed since their inception in the United States. The purpose of this study was to systematically identify and document score labels for IQs used during the past 102 years. Using pairs of reviewers, score labels from 40 tests were reviewed, and 61 unique labels were identified.…
Descriptors: Intelligence Tests, Scores, Intelligence Quotient, Labeling (of Persons)
Jianjun Ou; Robert C. Smith; Russell H. Tobe; Jingjing Lin; Jen Arriaza; Jed W. Fahey; Ruiting Liu; Ying Zeng; Yanan Liu; Lian Huang; Yidong Shen; Yamin Li; Daomeng Cheng; Brian Cornblatt; John M. Davis; Jingping Zhao; Renrong Wu; Hua Jin – Journal of Autism and Developmental Disorders, 2024
Sulforaphane has been reported to possibly improve core symptoms associated with autism spectrum disorders from mostly small size studies. Here we present results of a larger randomized clinical trial (N = 108) in China. There were no significant changes in caregiver rated scales between sulforaphane and placebo groups. However, clinician rated…
Descriptors: Drug Therapy, Outcomes of Treatment, Autism Spectrum Disorders, Randomized Controlled Trials
Fenglin Jia; Daner Sun; Chee-kit Looi – Journal of Science Education and Technology, 2024
The use of artificial intelligence has played an important role in science teaching and learning. The purpose of this study was to fill a gap in the current review of research on AI in science education (AISE) in the early stage of education by systematically reviewing existing research in this area. This systematic review examined the trends and…
Descriptors: Artificial Intelligence, Science Education, Educational Research, Educational Trends
Vasiliki Holeva; V. A. Nikopoulou; C. Lytridis; C. Bazinas; P. Kechayas; G. Sidiropoulos; M. Papadopoulou; M. D. Kerasidou; C. Karatsioras; N. Geronikola; G. A. Papakostas; V. G. Kaburlasos; A. Evangeliou – Journal of Autism and Developmental Disorders, 2024
Difficulties with social interaction characterise children with Autism Spectrum Disorders and have a negative impact in their everyday life. Integrating a social-humanoid robot within the standard clinical treatment has been proven promising. The main aim of this randomised controlled study was to evaluate the effectiveness of a robot-assisted…
Descriptors: Autism Spectrum Disorders, Children, Professional Personnel, Artificial Intelligence
Melissa Bond; Hassan Khosravi; Maarten De Laat; Nina Bergdahl; Violeta Negrea; Emily Oxley; Phuong Pham; Sin Wang Chong; George Siemens – International Journal of Educational Technology in Higher Education, 2024
Although the field of Artificial Intelligence in Education (AIEd) has a substantial history as a research domain, never before has the rapid evolution of AI applications in education sparked such prominent public discourse. Given the already rapidly growing AIEd literature base in higher education, now is the time to ensure that the field has a…
Descriptors: Meta Analysis, Artificial Intelligence, Databases, Higher Education
Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martinez-Maldonado; Guanliang Chen; Xinyu Li; Yueqiao Jin; Dragan Gaševic – British Journal of Educational Technology, 2024
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…
Descriptors: Educational Technology, Artificial Intelligence, Natural Language Processing, Educational Innovation
Nora Moran; David Ackerman – Journal of Education for Business, 2024
Many companies use artificial intelligence (AI) to screen job applicants. With more colleges also adopting AI programs to provide feedback on job seekers' applications, will students be receptive to using these tools? This research shows certain key factors -- perceptions of AI program effectiveness and enjoyability, higher networking anxiety, and…
Descriptors: Artificial Intelligence, Career Readiness, Student Attitudes, Student Interests
Anthony K. Brandt – Creativity Research Journal, 2024
Works of art have value not only as entertainment and aesthetic expression -- they also externalize features of human cognition that would often otherwise remain hidden. A musical example from the 19th century is a striking case in point. In 1819, Austrian music publisher, editor, and composer Anton Diabelli invited fifty-one of Austria's most…
Descriptors: Creative Thinking, Musical Composition, Intellectual Disciplines, Music Activities
Frank Xavier Gearhart – ProQuest LLC, 2024
Digital systems are pervasive in modern societies -- augmenting personal and commercial driving, detecting cancer, and exploiting transitory events in financial markets. Attacks on these systems are growing in number, sophistication, and impact. Current cyber defenses are proving inadequate against some of these attacks. Cyber defense tools that…
Descriptors: Artificial Intelligence, Information Security, Man Machine Systems, Natural Language Processing
Exploring Intention of Undergraduate Students to Embrace Chatbots: From the Vantage Point of Lesotho
Musa Adekunle Ayanwale; Rethabile Rosemary Molefi – International Journal of Educational Technology in Higher Education, 2024
The increasing prevalence of Fourth Industrial Revolution (4IR) technologies has led to a surge in the popularity of AI application tools, particularly chatbots, in various fields, including education. This research explores the factors influencing undergraduate students' inclination to embrace AI application tools, specifically chatbots, for…
Descriptors: Undergraduate Students, Intention, Student Attitudes, Artificial Intelligence
Gerardo Ibarra-Vazquez; Maria Soledad Ramirez-Montoya; Mariana Buenestado-Fernandez – IEEE Transactions on Learning Technologies, 2024
This article aims to study the performance of machine learning models in forecasting gender based on the students' open education competency perception. Data were collected from a convenience sample of 326 students from 26 countries using the eOpen instrument. The analysis comprises 1) a study of the students' perceptions of knowledge, skills, and…
Descriptors: Gender Differences, Open Education, Cross Cultural Studies, Student Attitudes
Disa Cornish; Zak Larter – Journal of Educational Technology Systems, 2024
ChatGPT and AI programs are creating a stir on college campuses nationwide. Concerns about cheating are strong and many instructors are adopting new teaching strategies to dissuade students from using the technology in assignments. In the present study, undergraduate students in an introductory epidemiology course were assigned to use ChatGPT to…
Descriptors: Artificial Intelligence, Student Attitudes, Synchronous Communication, Computer Software
Hadi Salehi; Bahareh Keshtiarast; Mohammad Ali Rahimi – Journal of Practical Studies in Education, 2024
This study aimed to investigate the relationship between Iranian EFL learners' interpersonal and intrapersonal intelligence and their speaking ability. To achieve this aim, 30 Iranian EFL learners whose level of proficiency was intermediate participated in this study. The participants' general English knowledge was measured via Oxford Quick…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Multiple Intelligences
Yoshija Walter – International Journal of Educational Technology in Higher Education, 2024
The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills. The introduction of AI into education marks a significant departure from conventional teaching methods, offering…
Descriptors: Artificial Intelligence, Multiple Literacies, Critical Thinking, Technology Uses in Education
Ching-Yi Chang; Chin-Lan Yang; Hsiu-Ju Jen; Hiroaki Ogata; Gwo-Haur Hwang – Educational Technology & Society, 2024
Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT…
Descriptors: Nursing Education, Health Education, Artificial Intelligence, Technology Uses in Education

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