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Mack Shelley, Editor; Valarie Akerson, Editor; Mevlut Unal, Editor – International Society for Technology, Education, and Science, 2023
"Proceedings of International Conference on Social and Education Sciences" includes full papers presented at the International Conference on Social and Education Sciences (IConSES), which took place on October 19-22, 2023, in Las Vegas, Nevada. The aim of the conference is to offer opportunities to share ideas, discuss theoretical and…
Descriptors: Conference Papers, Social Sciences, Educational Research, Education
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Wang, Xiaoxi; Wang, Lei; Zhang, Jing; Wang, Jiana – Youth & Society, 2022
Emotional intelligence (EI) is closely connected with mental health, academic achievement, and social adaptation. The purpose of this cross-sectional study is to evaluate EI and explore its associated factors in Chinese adolescents in school. Self-reported questionnaires were distributed to participants--a total of 2,058 students aged 10 to 18…
Descriptors: Emotional Intelligence, Scores, Teacher Student Relationship, Prosocial Behavior
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Lin, Vivien; Liu, Gi-Zen; Chen, Nian-Shing – Computer Assisted Language Learning, 2022
The use of technology such as online software has been examined in English as a foreign language (EFL) writing contexts. However, few studies have incorporated context-aware ubiquitous technology into EFL writing instruction. To develop multimodal and digital literacy of target EFL undergraduates in this pilot project, the researchers designed and…
Descriptors: Writing Instruction, Teaching Methods, Schemata (Cognition), Second Language Learning
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Paz-Baruch, Nurit; Leikin, M.; Leikin, R. – Gifted and Talented International, 2022
Mathematical giftedness (MG) is an intriguing phenomenon, the nature of which has yet to be sufficiently explored. This study goes a step further in understanding how MG is related to expertise in mathematics (EM) and general giftedness (G). Cognitive testing was conducted among 197 high school students with different levels of G and of EM. Based…
Descriptors: Gifted, Mathematical Aptitude, Expertise, Factor Analysis
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Shayer, Michael – Journal of Cognitive Education and Psychology, 2022
This article addresses the problem of "education for all," and offers a research proposal that replaces procedural learning by a learning practice whereby all are engaged. Although educational research since 1990 of dialogical learning (DL) and collaborative learning (CL) have shown that it is possible to promote the learning practices…
Descriptors: Learning Theories, Sociocultural Patterns, Science Instruction, Dialogs (Language)
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Willard, Jessica A.; Leyendecker, Birgit; Kohl, Katharina; Bihler, Lilly-Marlen; Agache, Alexandru – Applied Developmental Science, 2022
Can early childhood education (ECE) support the societal language development of children from linguistically diverse backgrounds? This study examined how existing variation in classroom interaction quality (CLASS Pre-K), classroom composition (percentages of children from low-income backgrounds and dual language learners [DLLs]), and duration of…
Descriptors: Early Childhood Education, Bilingualism, Monolingualism, Classroom Communication
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Çelik, Ferdi; Yangin Ersanli, Ceylan – Smart Learning Environments, 2022
The advancement of technology has provided new avenues for English language teachers to assist students in improving their language learning processes. Augmented reality is an emerging technology that can implement virtual objects into the physical learning environment. This quantitative study aimed to determine the impact of employing augmented…
Descriptors: Content and Language Integrated Learning, Teaching Methods, English (Second Language), Second Language Learning
Kraemer, Bonnie R.; Tomaszewski, Brianne; Rentschler, Lindsay F.; Steinbrenner, Jessica R.; Hume, Kara A.; McDaniel, Sara; Dawalt, Leann; Brum, Christopher; Szidon, Katherine – Career Development and Transition for Exceptional Individuals, 2022
The present study examined the transition component of the Individualized Education Program for 62 secondary students with autism. Plans were coded using a rubric adapted from Indicator 13 of the Individuals with Disabilities Education Improvement Act. Findings indicated a mean plan score of 10.5 out of 20.0, with a range of 3.0 to 20.0. Strengths…
Descriptors: Autism Spectrum Disorders, Individualized Education Programs, Individualized Transition Plans, Student Characteristics
Vadasy, Patricia F.; Sanders, Elizabeth A.; Cartwright, Kelly B. – Grantee Submission, 2022
The development of beginning decoding and encoding skills is influenced by linguistic skills as well as executive functions (EFs). These higher-level cognitive processes include working memory, inhibition, and cognitive flexibility, and individual differences in these EFs have been shown to contribute to early academic learning. The present study…
Descriptors: Cognitive Ability, Decoding (Reading), Prediction, Language Skills
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Lawrence, A. S. Arul, Ed.; Manivannan, M., Ed. – Online Submission, 2022
The epidemic of COVID-19 has disrupted education in over 150 nations and harmed 1.6 billion children. As a result, a number of nations have introduced some type of remote learning employing technology and students were encouraged to engage in self-determined learning. Many Educational Institutions that previously resisted changing their…
Descriptors: Distance Education, COVID-19, Pandemics, Technology Uses in Education
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Borghans, Lex; Meijers, Huub; ter Weel, Bas – Economics of Education Review, 2013
This research provides an economic model of the way people behave during an IQ test. We distinguish a technology that describes how time investment improves performance from preferences that determine how much time people invest in each question. We disentangle these two elements empirically using data from a laboratory experiment. The main…
Descriptors: Student Motivation, Incentives, Laboratory Experiments, Intelligence Quotient
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Dowe, David L.; Hernandez-Orallo, Jose – Intelligence, 2012
Complex, but specific, tasks--such as chess or "Jeopardy!"--are popularly seen as milestones for artificial intelligence (AI). However, they are not appropriate for evaluating the intelligence of machines or measuring the progress in AI. Aware of this delusion, Detterman has recently raised a challenge prompting AI researchers to evaluate their…
Descriptors: Intelligence Tests, Intelligence Quotient, Artificial Intelligence, Measurement
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Olofson, Mark W. – International Journal of Education and Practice, 2017
Over half of the children in the U.S. experience adversity early in childhood. These experiences, along with conditions in their families and neighborhoods, have profound developmental effects. The bioecological model of development includes these proximal contexts in a theory of development that incorporates the threats and supports present in…
Descriptors: Neighborhoods, Socioeconomic Status, Child Development, Structural Equation Models
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Moussalli, Souheila; Cardoso, Walcir – Computer Assisted Language Learning, 2020
Second/foreign language (L2) classrooms do not always provide opportunities for input and output practice [Lightbown, P. M. (2000). Classroom SLA research and second language teaching. Applied Linguistics, 21(4), 431-462]. The use of smart speakers such as Amazon Echo and its associated voice-controlled intelligent personal assistant (IPA) Alexa…
Descriptors: Artificial Intelligence, Pronunciation, Native Language, Listening Comprehension
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Devis-Rozental, Camila; Farquharson, Lois – Higher Education Pedagogies, 2020
This qualitative study undertaken at a University in England investigates what influences the development of undergraduate students' socio-emotional intelligence (SEI). Through a thematic analysis of semi-structured interviews with students and lecturers, the study highlights various approaches that the learning environment, both physical and…
Descriptors: Undergraduate Students, College Faculty, Student Development, Socialization
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