Publication Date
| In 2026 | 28 |
| Since 2025 | 3056 |
| Since 2022 (last 5 years) | 7924 |
| Since 2017 (last 10 years) | 11790 |
| Since 2007 (last 20 years) | 17120 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 643 |
| Practitioners | 607 |
| Teachers | 557 |
| Administrators | 155 |
| Policymakers | 128 |
| Students | 103 |
| Parents | 64 |
| Counselors | 36 |
| Media Staff | 16 |
| Support Staff | 13 |
| Community | 9 |
| More ▼ | |
Location
| China | 629 |
| Turkey | 491 |
| Canada | 410 |
| Australia | 392 |
| United Kingdom | 355 |
| United States | 342 |
| Germany | 277 |
| India | 252 |
| Spain | 252 |
| Netherlands | 240 |
| California | 207 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 16 |
| Meets WWC Standards with or without Reservations | 20 |
| Does not meet standards | 16 |
Dombrowski, Stefan C.; McGill, Ryan J.; Canivez, Gary L.; Peterson, Christina H. – Journal of Psychoeducational Assessment, 2019
When the Differential Ability Scales--Second Edition (DAS-II) was developed, the instrument's content, structure, and theoretical orientation were amended. Despite these changes, the "Technical Handbook" did not report results from exploratory factor analytic investigations, and confirmatory factor analyses were implemented using…
Descriptors: Cognitive Tests, Cognitive Ability, Factor Structure, Young Children
Maamari, Bassem E.; Majdalani, Joelle F. – International Journal of Educational Management, 2019
Purpose: The purpose of this paper is to answer the basic research question "Do highly emotional intelligent teachers increase student's satisfaction in the universities?" Design/methodology/approach: The paper is a quantitative study using self-reporting questionnaires applied on 283 students and 10 faculty members. Findings: The paper…
Descriptors: Emotional Intelligence, Teacher Student Relationship, Student Satisfaction, Foreign Countries
Hao, Jiangang; Ho, Tin Kam – Journal of Educational and Behavioral Statistics, 2019
Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review…
Descriptors: Artificial Intelligence, Statistical Inference, Data Analysis, Programming Languages
Ullmann, Thomas Daniel – International Journal of Artificial Intelligence in Education, 2019
Reflective writing is an important educational practice to train reflective thinking. Currently, researchers must manually analyze these writings, limiting practice and research because the analysis is time and resource consuming. This study evaluates whether machine learning can be used to automate this manual analysis. The study investigates…
Descriptors: Reflection, Writing (Composition), Writing Evaluation, Automation
Mullen, Patrick R.; Limberg, Dodie; Tuazon, Victor; Romagnolo, Shannon M. – Counselor Education and Supervision, 2019
The authors report results from a correlational study of 225 school counselor trainees' emotional intelligence and leadership qualities. Higher emotional intelligence correlated with higher leadership self-efficacy and self-leadership. The results indicate that emotional intelligence may be a relevant aspect of leadership training for school…
Descriptors: Emotional Intelligence, Leadership Qualities, School Counselors, Counselor Training
Król, Michal; Król, Magdalena – Cognitive Science, 2019
Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time-consuming for experts to provide and…
Descriptors: Eye Movements, Feedback (Response), Decision Making, Bias
Karibeeran, Sathyamurthi; Mohanty, Shefali – Online Submission, 2019
Adolescence is a period of heightened emotionality. If the adolescents cannot perceive, understand, regulate and function with their emotions it will leave indelible marks on their behaviour and personality. During adolescence (age 12 to 18 yrs), the transition from childhood to adulthood is most important. Children are becoming more independent,…
Descriptors: Emotional Intelligence, Adolescents, Adolescent Development, Social Development
Henshon, Suzanna E. – Prufrock Press Inc., 2019
As classrooms become more diverse, it is increasingly important that students learn how to empathize with others who may come from very different backgrounds. "Teaching Empathy": (1) Guides teachers to create and maintain classrooms in which students are sensitive to the needs of others; (2) Shows teachers how to create an environment of…
Descriptors: Empathy, Emotional Intelligence, Consciousness Raising, Classroom Environment
Huang, Karina; Bryant, Tonya; Schneider, Bertrand – International Educational Data Mining Society, 2019
With the advent of new data collection techniques, there has been a growing interest in studying co-located groups of students using Multimodal Learning Analytics to automatically identify collaborative learning states. In this paper, we analyze a multimodal dataset (N=84) made of eye-tracking, physiological and motion sensing data. We leverage…
Descriptors: Cooperative Learning, Artificial Intelligence, Eye Movements, Learning Analytics
Klein, Michael – ProQuest LLC, 2019
The purpose of the current study was to examine the differences between number and types of administration and scoring errors made by administration method (digital/Q-Interactive vs. paper-and-pencil) on the Wechsler Intelligence Scales for Children (WISC-V). WISC-V administration and scoring checklists were developed in order to provide an…
Descriptors: Intelligence Tests, Children, Test Format, Computer Assisted Testing
Melissa K. Mlakar – ProQuest LLC, 2019
The constructs of mindset, leadership, and school climate interact within the school environment. Mindset drives decisions and behaviors, decisions and behaviors determine leadership style, and leadership style influences school climate. Finally, school climate impacts student achievement and success. Much of the research related to mindset,…
Descriptors: Principals, Self Efficacy, Beliefs, Administrator Attitudes
Young, Nicholas T.; Caballero, Marcos D. – Journal of Educational Data Mining, 2021
We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…
Descriptors: Prediction, Models, Learning Analytics, Mathematics
Huggins, Charlotte F.; Donnan, Gemma; Cameron, Isobel M.; Williams, Justin H. G. – Autism: The International Journal of Research and Practice, 2021
Emotional self-awareness is increasingly suggested to be an area of difficulty in autism that may predict socioemotional outcomes for this population. However, whether emotional self-awareness is consistently diminished in autism across age and methodology remains unclear. We systematically reviewed 47 papers measuring emotional self-awareness in…
Descriptors: Autism, Pervasive Developmental Disorders, Emotional Response, Self Concept
Lin, Chi-Jen; Mubarok, Husni – Educational Technology & Society, 2021
One of the biggest challenges for EFL (English as Foreign Language) students to learn English is the lack of practicing environments. Although language researchers have attempted to conduct flipped classrooms to increase the practicing time in class, EFL students generally have difficulties interacting with peers and teachers in English in class.…
Descriptors: Learning Analytics, Cognitive Mapping, Artificial Intelligence, Computer Mediated Communication
Qin, Xu; Wormington, Stephanie; Guzman-Alvarez, Alberto; Wang, Ming-Te – Journal of Research on Educational Effectiveness, 2021
The growth mindset or the belief that intelligence is malleable has garnered significant attention for its positive association with academic success. Several recent randomized trials, including the National Study of Learning Mindsets (NSLM), have been conducted to understand why, for whom, and under what contexts a growth mindset intervention can…
Descriptors: Cognitive Structures, Intervention, Program Effectiveness, Academic Achievement

Peer reviewed
Direct link
