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Kurz, Eva-Maria; Zinke, Katharina; Born, Jan – Developmental Psychology, 2023
The architecture of sleep undergoes distinct changes during childhood and early adolescence. Slow wave sleep is involved in memory processing and may support active consolidation of newly encoded representations to support the formation of abstracted "gist" memories. Here, we examined sleep and overnight memory formation in German school…
Descriptors: Sleep, Diagnostic Tests, Cognitive Processes, Age Differences
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Doyle, Lewis; Easterbrook, Matthew J.; Harris, Peter R. – British Journal of Educational Psychology, 2023
Background: Educational outcomes in the United Kingdom vary as a function of students' family background, with those of lower socioeconomic status (SES) and certain ethnic minority groups among the worst affected. Aims: This pre-registered study investigates: (i) whether knowledge about students' socioeconomic and ethnic background influences…
Descriptors: Foreign Countries, Grading, Student Evaluation, Socioeconomic Status
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Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
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Abdulla, Ayesha; Fenech, Roberta; Kinsella, Katrina; Hiasat, Lana; Chakravarti, Sriya; White, Timothy; Rajan, Panthayil Babu – Journal of Higher Education Policy and Management, 2023
Leadership development in academia is generating a lot of interest due to its idiosyncrasies and complexities, as well as recent studies highlighting the neglect of systematic leadership development in academia. The purpose of this qualitative research study is to discover the subjective experiences of academic leaders enrolled in leadership…
Descriptors: Communities of Practice, College Faculty, Foreign Countries, Leadership Training
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Szucs, Tímea; Juhász, Erika – Acta Educationis Generalis, 2023
Introduction: From the second half of the 20th century onwards, studies on the transfer effects of music learning have become increasingly common. Both in the domestic and international literature, we can read research with a solid scientific background that supports the transfer effects of music education on different aspects of life. Purpose:…
Descriptors: Role of Education, Music Education, Literature Reviews, Social Influences
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Ibrahim, Karim – Language Testing in Asia, 2023
The release of ChatGPT marked the beginning of a new era of AI-assisted plagiarism that disrupts traditional assessment practices in ESL composition. In the face of this challenge, educators are left with little guidance in controlling AI-assisted plagiarism, especially when conventional methods fail to detect AI-generated texts. One approach to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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So, Joseph Chi-Ho; Ho, Yik Him; Wong, Adam Ka-Lok; Chan, Henry C. B.; Tsang, Kia Ho-Yin; Chan, Ada Pui-Ling; Wong, Simon Chi-Wang – IEEE Transactions on Learning Technologies, 2023
Generic competence (GC) development is an integral part of higher education to provide holistic education and enhance student career development. It also plays a critical role in complementing the curriculum. Many tertiary institutions provide various GC development activities (GCDA). Moreover, institutions strongly need to further understand…
Descriptors: Predictor Variables, Higher Education, Online Courses, Correlation
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Labadze, Lasha; Grigolia, Maya; Machaidze, Lela – International Journal of Educational Technology in Higher Education, 2023
AI chatbots shook the world not long ago with their potential to revolutionize education systems in a myriad of ways. AI chatbots can provide immediate support by answering questions, offering explanations, and providing additional resources. Chatbots can also act as virtual teaching assistants, supporting educators through various means. In this…
Descriptors: Artificial Intelligence, Teaching Methods, Teacher Attitudes, Technology Uses in Education
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Su, Jiahong; Yang, Weipeng – ECNU Review of Education, 2023
Purpose: Artificial intelligence (AI) chatbots, such as ChatGPT and GPT-4, developed by OpenAI, have the potential to revolutionize education. This study explores the potential benefits and challenges of using ChatGPT in education (or "educative AI"). Design/Approach/Methods: This paper proposes a theoretical framework called…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Educational Technology
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Moore, Robert L.; Jiang, Shiyan; Abramowitz, Brian – Journal of Research on Technology in Education, 2023
This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence's instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Computer Assisted Instruction
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Maamari, Bassem E.; Salloum, Youssef N. – International Journal of Educational Management, 2023
Purpose: The purpose of this paper is to answer two basic research questions: "Does high emotional intelligence affect teaching effectiveness at universities?" and "What role do personality traits play in moderating that relationship?" Design/methodology/approach: The paper is a quantitative study using self-reporting…
Descriptors: Emotional Intelligence, Teacher Effectiveness, College Faculty, Personality Traits
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Xia, Qi; Chiu, Thomas K. F.; Chai, Ching Sing – Education and Information Technologies, 2023
Artificial intelligence (AI) has the potential to support self-regulated learning (SRL) because of its strong anthropomorphic characteristics. However, most studies of AI in education have focused on cognitive outcomes in higher education, and little research has examined how psychological needs affect SRL with AI in the K-12 setting. SRL is a…
Descriptors: Artificial Intelligence, Grade 9, Student Needs, Gender Differences
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Lifshitz, Hefziba – Education and Training in Autism and Developmental Disabilities, 2023
The study's goals were: (a) to examine the influence of postsecondary education (PSE) in the form of academic enrichment courses on the cognitive performance of adults with intellectual disability (ID); (b) to examine their attitudes toward the program. The sample included adults who participate in PSE (N = 21; CA = 26-59) and a control group of…
Descriptors: Postsecondary Education, Enrichment Activities, Adults, Intellectual Disability
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Vasilopoulos, Fotini; Jeffrey, Holly; Wu, Yanwen; Dumontheil, Iroise – Educational Psychology Review, 2023
There is evidence that physical activity positively influences cognition and academic outcomes in childhood. This systematic review used a three-level meta-analytic approach, which handles nested effect sizes, to assess the impact of physical activity interventions. Ninety-two randomised control trials in typically developing children (5-12 years…
Descriptors: Children, Physical Activity Level, Physical Activities, Intervention
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Mike, Koby; Hazzan, Orit – IEEE Transactions on Education, 2023
Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…
Descriptors: Engineering Education, Computer Science Education, Data Science, Introductory Courses
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