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Grey, Brittany; Deutchki, Elizabeth K.; Lund, Emily A.; Werfel, Krystal L. – Journal of Early Intervention, 2022
This study compared preschool spoken language outcomes for children with hearing loss who met the Early Hearing Detection and Intervention (EHDI) guidelines to those who did not, as well as compared outcomes for those who met the current EHDI guidelines to those who met the earlier benchmarks. Finally, the predictive role of meeting each component…
Descriptors: Early Intervention, Preschool Children, Hearing Impairments, Benchmarking
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Du, Yunfei; Gao, Han – Education and Information Technologies, 2022
Artificial Intelligence (AI) has been exerting a revolutionary and profound impact on the teaching of English as Foreign Language (EFL) for decades. In spite of these acknowledged advances, teachers have numerous reservations and objections against the adoption of AI-based applications. In order to facilitate the proper use and produce an…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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Ku, Hsiao-Yuh – British Journal of Educational Studies, 2022
Brian Simon (1915-2002) was a leading advocate of comprehensive education in the second half of the twentieth century in Britain. In the 1980s, in the face of the ideological offensive from the New Right, he firmly stood by Marxist ideals and resolutely resisted policies of the right-wing leading to the 1988 Education Reform Act. Despite this…
Descriptors: Foreign Countries, Educational Change, Educational Legislation, Politics of Education
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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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