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Du, Jiahui; Hew, Khe Foon Timothy – Journal of Research on Technology in Education, 2022
Self-regulated learning (SRL) plays a significant role in promoting academic success in online education. In recent years, attention has focused on using new techniques to promote SRL--one of which is the recommender system. However, there has been little discussion of the actual effects of using recommender systems to facilitate SRL skills among…
Descriptors: Independent Study, Electronic Learning, Artificial Intelligence, Information Technology
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Prigge, Molly B. D.; Bigler, Erin D.; Lange, Nicholas; Morgan, Jubel; Froehlich, Alyson; Freeman, Abigail; Kellett, Kristina; Kane, Karen L.; King, Carolyn K.; Taylor, June; Dean, Douglas C., III; King, Jace B.; Anderson, Jeff S.; Zielinski, Brandon A.; Alexander, Andrew L.; Lainhart, Janet E. – Journal of Autism and Developmental Disorders, 2022
Intelligence (IQ) scores are used in educational and vocational planning for individuals with autism spectrum disorder (ASD) yet little is known about the stability of IQ throughout development. We examined longitudinal age-related IQ stability in 119 individuals with ASD (3-36 years of age at first visit) and 128 typically developing controls.…
Descriptors: Autism Spectrum Disorders, Intelligence, Cognitive Development, Scores
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Pages, Remy; Protzko, John; Bailey, Drew H. – Journal of Research on Educational Effectiveness, 2022
Early life interventions impacting cognitive abilities are most often followed by post-treatment fadeout. Some have hypothesized that persistence is unlikely when gains are specific to trained skills and distinguishable from impacts on general cognitive ability (classically modeled as a hierarchical factor, so-called psychometric g). Using…
Descriptors: Early Intervention, Cognitive Ability, Intelligence Quotient, Children
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Jang, Yeonju; Choi, Seongyune; Jung, Heeseok; Kim, Hyeoncheol – Education and Information Technologies, 2022
Predicting students' performance in advance could help assist the learning process; if "at-risk" students can be identified early on, educators can provide them with the necessary educational support. Despite this potential advantage, the technology for predicting students' performance has not been widely used in education due to…
Descriptors: Elementary Secondary Education, Teachers, Parents, Educational Policy
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Pi, Zhongling; Deng, Lixia; Wang, Xu; Guo, Peirong; Xu, Tao; Zhou, Yun – Journal of Computer Assisted Learning, 2022
Background: Video lectures which include the instructor's presence are becoming increasingly popular. Presenting a real human does, however, entail higher financial and time costs in making videos, and one innovative approach to reduce costs has been to generate a virtual speaking instructor. Objectives: The current study examined whether the use…
Descriptors: Video Technology, Lecture Method, Computer Simulation, Instructional Effectiveness
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Pesta, Bryan J. – Journal of Intelligence, 2022
At the level of the 50 U.S. states, an interconnected nexus of well-being variables exists. These variables strongly correlate with estimates of state IQ in interesting ways. However, the state IQ estimates are now more than 16 years old, and the state well-being estimates are over 12 years old. Updated state IQ and well-being estimates are…
Descriptors: Intelligence Quotient, Well Being, Scores, Adults
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Jang, Yeonju; Choi, Seongyune; Kim, Hyeoncheol – Education and Information Technologies, 2022
As artificial intelligence (AI) becomes more prevalent, so does the interest in AI ethics. To address issues related to AI ethics, many government agencies, non-governmental organizations (NGOs), and corporations have published AI ethics guidelines. However, only a few test instruments have been developed to assess students' attitudes toward AI…
Descriptors: Artificial Intelligence, Ethics, Test Construction, Student Attitudes
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Pham, Son T. H.; Sampson, Pauline M. – Journal of Computer Assisted Learning, 2022
Background: In fact, most schools around the world are not well equipped to have discussions and keep current on the expansion of artificial intelligence (AI) in many aspects of society and economy. They either ignore this conversation, or simply criticize technology, but these resistances are not stopping wide spread of various types of AI…
Descriptors: Artificial Intelligence, Preservice Teacher Education, Educational Change, Technology Integration
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Wilson, Joseph; Pollard, Benjamin; Aiken, John M.; Lewandowski, H. J. – Physical Review Physics Education Research, 2022
Surveys have long been used in physics education research to understand student reasoning and inform course improvements. However, to make analysis of large sets of responses practical, most surveys use a closed-response format with a small set of potential responses. Open-ended formats, such as written free response, can provide deeper insights…
Descriptors: Natural Language Processing, Science Education, Physics, Artificial Intelligence
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Raj, Nisha S.; V. G., Renumol – E-Learning and Digital Media, 2022
Learning analytics aims at helping the students to attain their learning goals. The predictions in learning analytics are made to enhance the effectiveness of educational interferences. This study predicts student engagement at an early phase of a Virtual Learning Environment (VLE) course by analyzing data collected from consecutive years. The…
Descriptors: Foreign Countries, Learner Engagement, Virtual Classrooms, Artificial Intelligence
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Beyaztas, Dilek Ilhan – International Journal of Progressive Education, 2022
This study aims to determine the characteristics of gifted students' perceptions of intelligence and the effective factors in the formation of these perceptions. The research is based on the explanatory sequential mixed-methods design. The research group consists of gifted students studying general ability in the fifth and seventh grades at…
Descriptors: Academically Gifted, Student Attitudes, Intelligence, Grade 5
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Sharadgah, Talha A.; Sa'di, Rami A. – Journal of Information Technology Education: Research, 2022
Aim/Purpose: This study carried out a systematic review of the literature on artificial intelligence (AI) in English language teaching (ELT). The objective was to delineate the current research progress in the field and to further understand the challenges. Background: The study analyzed articles published between 2015 and 2021. Methodology: The…
Descriptors: Literature Reviews, Educational Research, Artificial Intelligence, English (Second Language)
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Chalmers, Christina; Keane, Therese; Boden, Marie; Williams, Monica – Education and Information Technologies, 2022
Humanoid robots are being used in some schools, however, research on the use of these robots is relatively new. In this three-year study, humanoid robots were deployed in 10 schools, involving 29 teachers across early childhood to Year 10. This study aimed to ascertain teachers' perceptions of the benefits and challenges, the pedagogical practices…
Descriptors: Robotics, Early Childhood Education, Elementary Secondary Education, Teacher Attitudes
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Chou, Chun-Mei; Shen, Tsu-Chi; Shen, Tsu-Chuan; Shen, Chien-Hua – Education and Information Technologies, 2022
This research investigated 1,552 university students to explore the correlation between their learning effectiveness of artificial intelligence (AI) technology application and its influencing factors. The aim is to provide a reference for school planning and application of AI in information and communications technology (ICT) teaching. The results…
Descriptors: Artificial Intelligence, Instructional Effectiveness, College Students, Student Attitudes
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Rybinski, Krzysztof – Higher Education Research and Development, 2022
This article develops a machine learning methodology to analyse the relationship between university accreditation and student experience. It is applied to 98 university accreditations conducted by the Quality Assurance Agency (QAA) in the UK in 2012-2018, and 263,025 university ratings in three categories posted by students on the website…
Descriptors: Program Evaluation, Accreditation (Institutions), Student Experience, College Students
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