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Showing 1 to 15 of 109 results Save | Export
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Gudrun Schwarzer; Bianca Jovanovic – Child Development Perspectives, 2024
The ability to predict upcoming events is essential in infancy because it enables babies to process information optimally and have successful goal-directed interactions with their environment. In this article, we examine how infants generate predictions in perception, cognition, and action, and address whether and how their predictions are…
Descriptors: Infants, Motor Development, Prediction, Cognitive Processes
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Rosa, Claudio D.; Collado, Silvia; Larson, Lincoln R. – Journal of Environmental Education, 2022
The New Ecological Paradigm (NEP) scale adapted for use with children (NEP-C) is one of the most frequently used measures of children's environmental beliefs. Though widely utilized, the limitations of the NEP-C instrument are often overlooked. Based on a systematic synthesis of existing literature examining the NEP-C, we argue that the scale…
Descriptors: Attitude Measures, Children, Environment, Beliefs
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Wan, Zhi Hong – Learning Environments Research, 2022
In learning environments research, limited attention has been paid to the effects of the family environment on student thinking. This study constructed a five-dimension survey of the family environment, based on previous studies of the classroom learning environment, and used it to compare the effects of the family environment and the classroom…
Descriptors: Prediction, Critical Thinking, Thinking Skills, Teaching Methods
Jessa Henderson – ProQuest LLC, 2024
Algorithms may be better at prediction than humans in a variety of contexts, but they are not perfect. A deeper understanding of the ways in which educators use and question algorithmic advice within their professional domain is needed. Educators are a particularly unique professional group, in comparison with the other groups studied in the…
Descriptors: Algorithms, Literacy, High School Teachers, Science Teachers
Christine Fisher Vail – ProQuest LLC, 2024
Usage-based theories of language development underscore the importance of children using language to learn language. Few investigations have applied usage-based theories to dual language learners (DLLs), who comprise a growing share of children attending early education programs in the U.S. Three studies were carried out to investigate the role of…
Descriptors: Oral Language, Language Usage, Spanish, English (Second Language)
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Lisa J. Schlueter; Andrew B. McGee; Tasha Link; Lisa S. Badanes; Julia Dmitrieva; Sarah E. Watamura – Psychology in the Schools, 2024
Extant literature has demonstrated that children's diurnal stress physiology often looks different on childcare versus home days. Specifically, children experience a rise in cortisol, rather than a decline, over the day while in full-time care. Additionally, temperamental fit within classroom environment may influence both child and teacher…
Descriptors: Physiology, Child Care, Classroom Environment, Anxiety
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Hutt, Stephen; Ocumpaugh, Jaclyn; Ma, Juliana; Andres, Alexandra L.; Bosch, Nigel; Paquette, Luc; Biswas, Gautam; Baker, Ryan S. – International Educational Data Mining Society, 2021
Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…
Descriptors: Models, Self Control, Learning Strategies, Student Behavior
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Karacan, Cemil Gökhan; Polat, Mustafa – Journal of Digital Learning in Teacher Education, 2022
Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR's prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
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Susu Zhang; Xueying Tang; Qiwei He; Jingchen Liu; Zhiliang Ying – Grantee Submission, 2024
Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…
Descriptors: Correlation, Problem Solving, Computer Assisted Testing, Prediction
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Rochdi Boudjehem; Yacine Lafifi – Education and Information Technologies, 2024
Teaching Institutions could benefit from Early Warning Systems to identify at-risk students before learning difficulties affect the quality of their acquired knowledge. An Early Warning System can help preemptively identify learners at risk of dropping out by monitoring them and analyzing their traces to promptly react to them so they can continue…
Descriptors: At Risk Students, Identification, Dropouts, Student Behavior
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Michelle Menezes; Jim Soland; Micah O. Mazurek – Journal of Autism and Developmental Disorders, 2024
The capacity of families with autistic children to demonstrate resilience is a notable strength that has received little attention in the literature. A potential predictor of family resilience in households with autistic youth is neighborhood support. This study examined the relationship between neighborhood support and family resilience in…
Descriptors: Family Environment, Resilience (Psychology), Neighborhoods, Social Support Groups
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Álvaro Jáñez; Javier Rosales; Raquel De Sixte; Marta Ramos – Reading and Writing: An Interdisciplinary Journal, 2024
The Home Literacy model predicts different outcomes depending on formal and informal literacy practices carried out at home. However, this model does not explicitly consider the potential differences that the media (paper vs. tablets) in which these practices are carried out can have on performance. The present study explored this issue.…
Descriptors: Young Children, Family Environment, Family Literacy, Handheld Devices
Pocai, Robert Daniel – ProQuest LLC, 2022
The purpose of this qualitative phenomenological study was to describe the lived experience of administrators at a Christian higher education institution during the COVID-19 crisis. The theoretical framework used for this study was revolutionary change theory (RCT). Qualitative data was gathered from structured interviews with executive…
Descriptors: Administrators, Christianity, Religious Colleges, COVID-19
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Yao, Zhuojun; Enright, Robert – Journal of Moral Education, 2023
The association between prosocial behavior and adolescents' social class--defined as one's parents' position in society assessed in terms of education, income, and occupation status--is far from conclusive and the moderators of the link have not been fully researched. Using data from the National Institute of Child Health and Human Development…
Descriptors: Correlation, Social Class, Prosocial Behavior, Emotional Response
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Ikenna Osakwe; Guanliang Chen; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Lyn Lim; Joep van der Graaf; Johanna Moore; Inge Molenaar; Maria Bannert; Alex Whitelock-Wainwright; Dragan Gaševic – British Journal of Educational Technology, 2024
Self-regulated learning (SRL) is an essential skill to achieve one's learning goals. This is particularly true for online learning environments (OLEs) where the support system is often limited compared to a traditional classroom setting. Likewise, existing research has found that learners often struggle to adapt their behaviour to the…
Descriptors: Metacognition, Learning Strategies, Teaching Methods, Classroom Environment
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