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Bozkirli, Kürsad Çagri – Online Submission, 2018
The purpose of this research is to analyze Turkish fairy tales in the context of educational properties of fairy tales. 10 Turkish fairy tales gathered around from different parts of Turkey by several researchers have been analyzed in the scope of the research conducted by document analysis method. Determining factors of the chosen fairy tales…
Descriptors: Turkish, Fairy Tales, Geographic Regions, Teaching Methods
Edwards, Misty – ProQuest LLC, 2018
The role of the college student was linked to increased stress and subsequent negative effects including compromised psychological, social, physical, and academic functioning. To identify self-regulation factors which may be important in stress appraisal, researchers recommended increased focus on AEI and CF. To further establish an understanding…
Descriptors: Stress Variables, Self Management, Stress Management, Two Year College Students
Redding, Sam; Twyman, Janet – Center on Innovations in Learning, Temple University, 2018
Teachers are accustomed to gathering and analyzing data that show what a student knows, has learned, and has not yet learned. With this information, aggregated for the class, the teacher may alter her lesson plans to accelerate her pace or slow down to reteach. She may make notes to alter the lesson design for the next time she teaches the lesson.…
Descriptors: Student Behavior, Behavior Patterns, Learning, Individualized Instruction
Marilena Panaite; Mihai Dascalu; Amy Johnson; Renu Balyan; Jianmin Dai; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2018
Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Algorithms, Decision Making
David M. Alexandro – ProQuest LLC, 2018
In response to the high school dropout crisis, which comes with great economic and social costs, early warning systems (EWSs) have been developed to systematically predict and improve student outcomes. The purpose of this study is to evaluate different statistical and machine learning methods to predict high school student performance and improve…
Descriptors: At Risk Students, Progress Monitoring, Artificial Intelligence, Prediction
Darko, Christian K.; Vasilakos, Nicholas – British Educational Research Journal, 2020
We use data from the Young Lives longitudinal survey to analyse the effect of socioeconomic conditions and gender on the educational performance of young children in India. In particular, we use data for standardised scores on two cognitive tests: the Peabody Picture Vocabulary Test (PPVT) and a maths test. Our results show that there are…
Descriptors: Foreign Countries, Outcomes of Education, Socioeconomic Influences, Gender Differences
Yang, Zongkai; Yang, Juan; Rice, Kerry; Hung, Jui-Long; Du, Xu – IEEE Transactions on Learning Technologies, 2020
This article proposes two innovative approaches, the one-channel learning image recognition and the three-channel learning image recognition, to convert student's course involvements into images for early warning predictive analysis. Multiple experiments with 5235 students and 576 absolute/1728 relative input variables were conducted to verify…
Descriptors: Distance Education, At Risk Students, Artificial Intelligence, Man Machine Systems
Gavín-Chocano, Oscar; Molero, David; García-Martínez, Inmaculada – Electronic Journal of Research in Educational Psychology, 2020
Introduction: The work environment of professionals who work directly with people with intellectual disabilities plays a key role in people's lives, since they are directly or indirectly responsible for improving the living conditions of those who receive these services. Specifically, these workers' risk of suffering burnout has an important…
Descriptors: Life Satisfaction, Burnout, Emotional Intelligence, Intellectual Disability
Peñacoba, Cecilia; Garvi, Daniel; Gómez, Lourdes; Álvarez, Ana – American Annals of the Deaf, 2020
Psychological well-being is a key aspect of mental health. However, it is the focus of few studies among the deaf population. The present study explored the possible relationship between emotional intelligence and psychological well-being in a sample of 146 deaf Spanish adults compared to 146 typically hearing controls. The influence of anxiety,…
Descriptors: Deafness, Adults, Symptoms (Individual Disorders), Depression (Psychology)
Luttrell, Regina; Wallace, Adrienne; McCollough, Christopher; Lee, Jiyoung – Journalism and Mass Communication Educator, 2020
Artificial intelligence (AI) has gained both momentum and importance within society over the past several years. This article provides an opening for further discussion to the broader social and digital media research community and those interested in answering important questions related to these areas by leveraging a focused, productive…
Descriptors: Artificial Intelligence, Journalism Education, Social Media, Technology Uses in Education
Ursache, Alexandra; Kiely Gouley, Kathleen; Dawson-McClure, Spring; Barajas-Gonzalez, R. Gabriela; Calzada, Esther J.; Goldfeld, Keith S.; Brotman, Laurie M. – Child Development, 2020
This study examined longitudinal relations between emotion knowledge (EK) in pre-kindergarten (pre-K; M[subscript age] = 4.8 years) and math and reading achievement 1 and 3 years later in a sample of 1,050 primarily Black children (over half from immigrant families) living in historically disinvested neighborhoods. Participants were part of a…
Descriptors: Emotional Intelligence, Academic Achievement, Preschool Children, African American Students
Esposito, Alena G. – Bilingual Research Journal, 2020
Children across the United States are increasingly learning academic content through two-way dual-language education (http://www.cal.org/twi/). This education model provides instruction through two languages in classrooms comprised of approximately equal numbers of native and non-native English speakers. For both language groups, this educational…
Descriptors: Executive Function, Bilingual Education, Language Fluency, Educational Benefits
Weise, Crista; Aguayo-González, Mariela; Castelló, Montserrat – Educational Research, 2020
Background: This study focuses on furthering the understanding of doctoral researcher development, through the examination of significant events and application of the trajectories analysis framework. Conducting doctoral studies requires a high level of cognitive, personal and emotional competency. Students experience positive and negative…
Descriptors: Psychological Patterns, Doctoral Students, Researchers, Performance Factors
Norris, Jade Eloise; Crane, Laura; Maras, Katie – Autism: The International Journal of Research and Practice, 2020
Recalling specific past experiences is critical for most formal social interactions, including when being interviewed for employment, as a witness or defendant in the criminal justice system, or as a patient during a clinical consultation. Such interviews can be difficult for autistic adults under standard open questioning, yet applied research…
Descriptors: Autism, Pervasive Developmental Disorders, Adults, Interviews
Maras, Katie; Dando, Coral; Stephenson, Heather; Lambrechts, Anna; Anns, Sophie; Gaigg, Sebastian – Autism: The International Journal of Research and Practice, 2020
Autistic people experience social communication difficulties alongside specific memory difficulties than impact their ability to recall episodic events. Police interviewing techniques do not take account of these differences, and so are often ineffective. Here we introduce a novel Witness-Aimed First Account interview technique, designed to better…
Descriptors: Autism, Pervasive Developmental Disorders, Victims of Crime, Interviews

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