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Betül Tonbuloglu – Journal of Educational Technology and Online Learning, 2023
In online education, it is extremely important to achieve the targeted learning outcomes and to create an effective learning environment. This requires an interactive learning environment with a sense of learning community, personalised learning opportunities, well-designed instructional content that makes effective use of visuals, sounds and…
Descriptors: Artificial Intelligence, Online Courses, Educational Technology, Technology Uses in Education
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Emily Ballantyne – OTESSA Conference Proceedings, 2023
Winter 2023 was a scary time for educators being confronted with generative AI for the first time. The launch of ChatGPT caused nothing less than a seismic shift in the field of higher education. Amidst calls to ban it from schools and decrying the end of entire disciplines, there was also a great surge of enthusiasm and optimism as faculty and…
Descriptors: Artificial Intelligence, Writing (Composition), Higher Education, Educational Change
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Simon Ntumi; Tapela Bulala; Abraham Yeboah; Divine Agbovor – Psychology in the Schools, 2026
In an era where holistic education is gaining prominence, spiritual intelligence is emerging as a critical yet under-assessed component of students' personal and social development. This study aimed to develop and validate the Spiritual Intelligence Assessment Tool (SIAT) for cross-cultural application in faith-based educational settings across…
Descriptors: Foreign Countries, Spiritual Development, Intelligence, Measures (Individuals)
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Agustin, Mubiar; Puspita, Ryan Dwi; Inten, Dinar Nur; Setiyadi, Ruli – International Journal of Instruction, 2021
This research aims at detecting and stimulating multiple intelligences of kindergarten children early by applying collaborative action research by academics and practitioners. This research moves from the most fundamental problem in early childhood education activities especially in kindergartens namely the teachers' mistreatment in learning…
Descriptors: Multiple Intelligences, Action Research, Intelligence, Kindergarten
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Kazim, Emre; Koshiyama, Adriano Soares; Hilliard, Airlie; Polle, Roseline – Journal of Intelligence, 2021
Business psychologists study and assess relevant individual differences, such as intelligence and personality, in the context of work. Such studies have informed the development of artificial intelligence systems (AI) designed to measure individual differences. This has been capitalized on by companies who have developed AI-driven recruitment…
Descriptors: Psychology, Individual Differences, Artificial Intelligence, Intelligence
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Andrienko, ?etiana; Chumak, Nataliia; Genin, Vlad – Advanced Education, 2020
Studying the factors of successful acquisition of ESL speaking skills in Ukrainian adult learners, the authors focused on the correlation between emotional intelligence and development of oral communication skills, and, on the other hand, on the growth of these indicators as a result of purposeful inclusion of content-related emotions into…
Descriptors: Emotional Intelligence, English (Second Language), Second Language Learning, Communication Skills
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Paz-Baruch, Nurit – High Ability Studies, 2020
The actiotope model of giftedness (AMG) highlights the interactions between the individual and the environment. Educational and learning capital (ELC) are essential resources that promote the development of excellence. The study objectives were to examine the contribution of educational capital (EC), learning capital (LC), and general intelligence…
Descriptors: Academic Ability, Predictor Variables, Intelligence, Academic Achievement
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Taheri, Hamideh; Sadighi, Firooz; Bagheri, Mohammad Sadegh; Bavali, Mohammad – Cogent Education, 2019
The purpose of this study is threefold: firstly, to explore the relationship between EFL learners' cognitive intelligence, emotional intelligence, and language learning achievement, secondly, to find out the relationship between EFL learners' language learning styles and strategies and their L2 achievement, and thirdly, to uncover the relationship…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Intelligence
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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)
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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
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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
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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
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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
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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
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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
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