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Direct linkMatthew J. Salganik; Ian Lundberg; Alexander T. Kindel; Caitlin E. Ahearn; Khaled Al-Ghoneim; Abdullah Almaatouq; Drew M. Altschul; Jennie E. Brand; Nicole Bohme Carnegie; Ryan James Compton; Debanjan Datta; Thomas Davidson; Anna Filippova; Connor Gilroy; Brian J. Goode; Eaman Jahani; Ridhi Kashyap; Antje Kirchner; Stephen McKay; Allison C. Morgan; Alex Pentland; Kivan Polimis; Louis Raes; Daniel E. Rigobon; Claudia V. Roberts; Diana M. Stanescu; Yoshihiko Suhara; Adaner Usmani; Erik H. Wang; Muna Adem; Abdulla Alhajri; Bedoor AlShebli; Redwane Amin; Ryan B. Amos; Lisa P. Argyle; Livia Baer-Bositis; Moritz Büchi; Bo-Ryehn Chung; William Eggert; Gregory Faletto; Zhilin Fan; Jeremy Freese; Tejomay Gadgil; Josh Gagné; Yue Gao; Andrew Halpern-Manners; Sonia P. Hashim; Sonia Hausen; Guanhua He; Kimberly Higuera; Bernie Hogan; Ilana M. Horwitz; Lisa M. Hummel; Naman Jain; Kun Jin; David Jurgens; Patrick Kaminski; Areg Karapetyan; E. H. Kim; Ben Leizman; Naijia Liu; Malte Möser; Andrew E. Mack; Mayank Mahajan; Noah Mandell; Helge Marahrens; Diana Mercado-Garcia; Viola Mocz; Katariina Mueller-Gastell; Ahmed Musse; Qiankun Niu; William Nowak; Hamidreza Omidvar; Andrew Or; Karen Ouyang; Katy M. Pinto; Ethan Porter; Kristin E. Porter; Crystal Qian; Tamkinat Rauf; Anahit Sargsyan; Thomas Schaffner; Landon Schnabel; Bryan Schonfeld; Ben Sender; Jonathan D. Tang; Emma Tsurkov; Austin van Loon; Onur Varol; Xiafei Wang; Zhi Wang; Julia Wang; Flora Wang; Samantha Weissman; Kirstie Whitaker; Maria K. Wolters; Wei Lee Woon; James Wu; Catherine Wu; Kengran Yang; Jingwen Yin; Bingyu Zhao; Chenyun Zhu; Jeanne Brooks-Gunn; Barbara E. Engelhardt; Moritz Hardt; Dean Knox; Karen Levy; Arvind Narayanan; Brandon M. Stewart; Duncan J. Watts; Sara McLanahan – Grantee Submission, 2020
How predictable are life trajectories? We investigated this question with a scientific mass collaboration using the common task method; 160 teams built predictive models for six life outcomes using data from the Fragile Families and Child Wellbeing Study, a high-quality birth cohort study. Despite using a rich dataset and applying machine-learning…
Descriptors: Life Satisfaction, Family Life, Quality of Life, Disadvantaged
Tennessee Department of Education, 2025
The Tennessee Educator Survey (TES) is conducted annually in partnership between the Tennessee Department of Education (TDOE) and the Tennessee Education Research Alliance (TERA). The survey provides teachers, administrators, and certified staff the opportunity to share their experiences and perceptions about what is working and what improvements…
Descriptors: Teacher Attitudes, Administrator Attitudes, Teacher Surveys, Administrator Surveys
Sadipour, Ismail; Ghavam, Soghra Ebrahimi; Farrokhi, Noorali; Assadzadeh, Hassan; Sameti, Nahid – International Journal of Environmental and Science Education, 2017
Improving the academic performance of students is one of the main concerns of authorities in education fields. The science of psychology and education experts has tried to help research and studies, to identify factors affecting the academic performance of students. Previously cognitive abilities as one of the most important determinants of…
Descriptors: Predictor Variables, Emotional Intelligence, Problem Solving, Student Motivation
Rudnitsky, Al; Barclay, Catharine; Binger, Lauren – Middle School Journal, 2017
This study explores the effectiveness of a workshop and accompanying conceptual framework designed to help middle school students become better participants in group work. The framework is designated BRAVE (build on ideas, risk tentative thoughts, ask good questions, value other perspectives, and use evidence). The framework is based on research…
Descriptors: Middle School Students, Cooperative Learning, Workshops, Grade 5
Trimmer, Emily; McDonald, Skye; Rushby, Jacqueline Ann – Autism: The International Journal of Research and Practice, 2017
While there is a general consensus in the literature that individuals with autism spectrum disorder have difficulty with cognitive empathy, much less is known about emotional empathy processing in these individuals. Most research has employed subjective self-report measures, which can often be misinterpreted or under-reported/over-reported. More…
Descriptors: Empathy, Pervasive Developmental Disorders, Autism, Emotional Response
Earle, F. Sayako; Gallinat, Erica L.; Grela, Bernard G.; Lehto, Alexa; Spaulding, Tammie J. – Journal of Learning Disabilities, 2017
This study determined the effect of matching children with specific language impairment (SLI) and their peers with typical development (TD) for nonverbal IQ on the IQ test scores of the resultant groups. Studies published between January 2000 and May 2012 reporting standard nonverbal IQ scores for SLI and age-matched TD controls were categorized…
Descriptors: Language Impairments, Nonverbal Ability, Comparative Analysis, Intelligence Tests
Goldin, Ilya; Narciss, Susanne; Foltz, Peter; Bauer, Malcolm – International Journal of Artificial Intelligence in Education, 2017
Formative feedback is well known as a key factor in influencing learning. Modern interactive learning environments provide a broad range of ways to provide feedback to students as well as new tools to understand feedback and its relation to various learning outcomes. This issue focuses on the role of formative feedback through a lens of how…
Descriptors: Formative Evaluation, Feedback (Response), Interaction, Technology Uses in Education
Aydogdu, Bilge Nuran; Celik, Hilal; Eksi, Halil – Eurasian Journal of Educational Research, 2017
Purpose: In the face of adverse and traumatic events throughout their lives, individuals respond in different ways depending on their degree of resilience, factors of which include their individual resources for coping with those events. This study examined the predictive role of emotional self-efficacy and interpersonal sensitivity on…
Descriptors: Young Adults, Resilience (Psychology), Interpersonal Competence, Self Efficacy
Crowe, Dale; LaPierre, Martin; Kebritchi, Mansureh – TechTrends: Linking Research and Practice to Improve Learning, 2017
With augmented intelligence/knowledge based system (KBS) it is now possible to develop distance learning applications to support both curriculum and administrative tasks. Instructional designers and information technology (IT) professionals are now moving from the programmable systems era that started in the 1950s to the cognitive computing era.…
Descriptors: Artificial Intelligence, Information Technology, Distance Education, Instructional Design
Suendermann-Oeft, David; Ramanarayanan, Vikram; Yu, Zhou; Qian, Yao; Evanini, Keelan; Lange, Patrick; Wang, Xinhao; Zechner, Klaus – ETS Research Report Series, 2017
We present work in progress on a multimodal dialog system for English language assessment using a modular cloud-based architecture adhering to open industry standards. Among the modules being developed for the system, multiple modules heavily exploit machine learning techniques, including speech recognition, spoken language proficiency rating,…
Descriptors: Language Tests, Computer Assisted Testing, Artificial Intelligence, English (Second Language)
Howard, Cynthia; Jordan, Pamela; Di Eugenio, Barbara; Katz, Sandra – International Journal of Artificial Intelligence in Education, 2017
Despite a growing need for educational tools that support students at the earliest phases of undergraduate Computer Science (CS) curricula, relatively few such tools exist--the majority being Intelligent Tutoring Systems. Since peer interactions more readily give rise to challenges and negotiations, another way in which students can become more…
Descriptors: Computer Science Education, Undergraduate Study, Intelligent Tutoring Systems, Artificial Intelligence
Inglés, Cándido J.; Martínez-Monteagudo, María C.; Pérez Fuentes, Maria C.; García-Fernández, José M.; Molero, María del Mar; Suriá-Martinez, Raquel; Gázquez, José J. – Educational Psychology, 2017
The aim of this study was to analyse the relationship among emotional intelligence (EI) and learning strategies, identifying different emotional intelligence profiles and determining possible statistically significant differences in learning strategies through the identified profiles. Thousand and seventy-one Spaniards secondary school students…
Descriptors: Emotional Intelligence, Learning Strategies, Secondary School Students, Questionnaires
Viness, Stephanie; Colquitt, Gavin; Pritchard, Tony; Johnson, Christine – Physical Educator, 2017
The purpose of this article is to provide an overview of how PE teachers can personalize learning to meet a variety of student needs. Differentiated instruction (DI) is a term frequently used in classroom-based learning to describe a method of personalization for individual students. The term can also describe a theoretical model for teaching and…
Descriptors: Individualized Instruction, Physical Education, Student Needs, Teaching Methods
Watkins, Daryl; Earnhardt, Matthew; Pittenger, Linda; Roberts, Robin; Rietsema, Kees; Cosman-Ross, Janet – Journal of Leadership Education, 2017
Technological advances, globalization, network complexity, and social complexity complicate almost every aspect of our organizations and environments. Leadership educators are challenged with developing leaders who can sense environmental cues, adapt to rapidly changing contexts, and thrive in uncertainty while adhering to their values systems. In…
Descriptors: Leadership Training, Training Methods, Models, Program Design
Grainger, Catherine; Williams, David M.; Lind, Sophie E. – Autism: The International Journal of Research and Practice, 2017
It is well established that neurotypical individuals generally show better memory for actions they have performed than actions they have observed others perform or merely read about, a so-called "enactment effect." Strikingly, research has also shown that neurotypical individuals demonstrate superior memory for actions they…
Descriptors: Memory, Pervasive Developmental Disorders, Autism, Asperger Syndrome
