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Marwa Said Mustafa El-Garawany – Language Teaching Research Quarterly, 2024
Some recent studies have reported positive effects of artificial intelligence (AI)-powered writing assistants on students' EFL writing skills, but their impact on affective factors has yet to be examined. Thus, the present study investigated the effects of a QuillBot-based intervention on English Language majors' EFL writing performance,…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
Joseph Zajda, Editor – Springer, 2024
This handbook provides a global synthesis of on-going research in education and policy change during the last decade. It examines discourses of globalisation from the perspectives of the global North and global South. Major theories of globalisation and education policy reforms employed in the handbook are classified into two broad categories:…
Descriptors: Global Approach, International Education, Educational Policy, Educational Research
Maqbool, Saira – Pakistan Journal of Distance and Online Learning, 2019
This paper investigates the correlation between academic achievement of ESL learners and their emotional intelligence. Data from 122 distance education graduate students both male and female, was collected using Bar-one emotional quotient inventory EQ adopted from Mixed Model of EI by Mayers (2007). The sample was selected through convenient…
Descriptors: Emotional Intelligence, Electronic Learning, English (Second Language), Second Language Learning
Dardick, William R.; Tuckwiller, Elizabeth D. – Journal of Interdisciplinary Studies in Education, 2019
The present study investigated our hypothesis of an underlying relationship between optimism/pessimism and implicit theories of intelligence. We investigated the psychometric properties of optimism and mindset scales in our sample, compared confirmatory factor analysis models of the scales, examined the full measurement model to confirm quality…
Descriptors: Positive Attitudes, Negative Attitudes, Correlation, Intelligence
Reuter, Tracy; Borovsky, Arielle; Lew-Williams, Casey – Developmental Psychology, 2019
According to prediction-based learning theories, erroneous predictions support learning. However, empirical evidence for a relation between prediction error and children's language learning is currently lacking. Here we investigated whether and how prediction errors influence children's learning of novel words. We hypothesized that word learning…
Descriptors: Prediction, Error Patterns, Preschool Children, Language Processing
Ocaña-Fernández, Yolvi; Valenzuela-Fernández, Luis Alex; Garro-Aburto, Luzmila Lourdes – Journal of Educational Psychology - Propositos y Representaciones, 2019
The new challenges of the information society demand from the university a severe change in its rigid canons of education. The artificial intelligence-based formats promise a very substantial improvement in education for all the different levels, with an unprecedented qualitative improvement: to provide the students with an accurate…
Descriptors: Artificial Intelligence, Higher Education, Technology Uses in Education, Technological Literacy
Warren, Frances; Mason-Apps, Emily; Hoskins, Sherria; Devonshire, Victoria; Chanvin, Mathilde – British Educational Research Journal, 2019
Research emerging from the USA suggests that holding an incremental theory of intelligence (growth mindset) has a positive impact on academic success. However, limited empirical work has explored this relationship in a UK sample, and there has been a lack of research into the antecedents which might influence the development of certain…
Descriptors: Intelligence, Elementary School Students, Children, Foreign Countries
Smith, Tamarah F.; Capuzzi, Grace – Psychology Learning and Teaching, 2019
The primary goal of this article is to provide detailed instructions as to how to run a mindset intervention in a psychology statistics course. A secondary goal is to provide preliminary data on such an intervention's relationship to students' statistics anxiety and course grades. Large randomized studies have demonstrated that using a one-time…
Descriptors: Stress Management, Statistics, Mathematics Anxiety, Intervention
Loukatos, Dimitrios; Arvanitis, Konstantinos G. – Education Sciences, 2019
Inspired by the mobile phone market boost, several low cost credit card-sized computers have made the scene, able to support educational applications with artificial intelligence features, intended for students of various levels. This paper describes the learning experience and highlights the technologies used to improve the function of DIY…
Descriptors: Handheld Devices, Artificial Intelligence, Robotics, Internet
Herodotou, Christothea; Hlosta, Martin; Boroowa, Avinash; Rienties, Bart; Zdrahal, Zdenek; Mangafa, Chrysoula – British Journal of Educational Technology, 2019
This study presents an advanced predictive learning analytics system, OU Analyse (OUA), and evidence from its evaluation with online teachers at a distance learning university. OUA is a predictive system that uses machine learning methods for the early identification of students at risk of not submitting (or failing) their next assignment.…
Descriptors: Learning Analytics, Teacher Empowerment, Distance Education, College Faculty
Steacy, Laura M.; Wade-Woolley, Lesly; Rueckl, Jay G.; Pugh, Kenneth R.; Elliott, James D.; Compton, Donald L. – Scientific Studies of Reading, 2019
In a quasiregular orthography like English, children inevitably encounter irregular words during reading. Previous research suggests successful reading of an irregular word depends at least partially on a child's ability to address the mismatch between decoded form and stored word pronunciation, referred to as a child's set for variability, and…
Descriptors: Predictor Variables, At Risk Students, Reading Difficulties, Students with Disabilities
Isaksson, Johan; Taylor, Mark J.; Lundin, Karl; Neufeld, Janina; Bölte, Sven – Autism: The International Journal of Research and Practice, 2019
Alterations in social cognition are hypothesized to underlie social communication challenges in autism spectrum disorder. However, the etiologic underpinnings driving this association, as well as the impact of other psychiatric conditions on the association, remain unclear. Using a co-twin control design, we examined n = 308 twins (mean age =…
Descriptors: Twins, Social Cognition, Autism, Pervasive Developmental Disorders
Singer, Judith D. – Journal of Research on Educational Effectiveness, 2019
The arc of quantitative educational research should not be etched in stone but should adapt and change over time. In this article, I argue that it is time for a reshaping by offering my personal view of the past, present and future of our field. Educational research--and research in the social and life sciences--is at a crossroads. There are many…
Descriptors: Educational Research, Research Methodology, Longitudinal Studies, Evaluation
Alfita, Laili; Kadiyono, Anissa Lestari; Nguyen, Phong Thanh; Firdaus, Winci; Wekke, Ismail Suardi – International Journal of Higher Education, 2019
Educational and cultural development is strongly influenced by external conditions such as social, cultural, economic, technological, and political. So, there is a strong need to educate their effect. Some of the effects of external conditions on education and culture can be explained. a higher population puts Indonesia in an increasingly…
Descriptors: Foreign Countries, Social Influences, Cultural Influences, Educational Development
Benbassat, Jochanan – Advances in Health Sciences Education, 2019
Undergraduate clinical education follows the "bedside" tradition that exposes students to inpatients. However, the hospital learning environment has two main limitations. First, most inpatients require acute care, and students may complete their training without seeing patients with frequent non-emergent and chronic diseases that are…
Descriptors: Clinical Experience, Undergraduate Study, Hospitals, Experiential Learning

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