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Li, Chenglu; Xing, Wanli; Leite, Walter L. – Grantee Submission, 2021
There has been a long-standing issue of sparse discussion forums participation in online learning, which can impede students' help seeking practices. Researchers have examined AI techniques such as link prediction with network analysis to connect help seekers with help providers. However, little is known whether these AI systems will treat…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Online Courses
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Maya Usher; Arnon Hershkovitz; Alona Forkosh-Baruch – British Journal of Educational Technology, 2021
The outbreak of the COVID-19 pandemic has changed education dramatically, with the sudden shift from face-to-face to emergency remote teaching. Online learning environments may facilitate data-driven instructional process; yet, our understanding regarding data-driven decisions is still limited. This quantitative study examined types of learners'…
Descriptors: College Faculty, COVID-19, Pandemics, Distance Education
Casper Jan Hendrik Keller – Online Submission, 2021
This paper critiques the dominance of exam-driven education systems and argues for a curriculum that balances cognitive achievement with creativity, emotional intelligence, and cultural competencies. Drawing on examples from Asia and Africa, the study highlights how different cultural models of schooling--emphasizing discipline, resilience, and…
Descriptors: Emotional Intelligence, Social Emotional Learning, Multiple Literacies, Cultural Literacy
Özdayi, Nahit; Yücel, Ali Serdar; Demir, Mehmet Burak – Journal of Education and Training Studies, 2019
The purpose of this study is to compare emotional intelligence levels of students studying in 2017-2018 summer school of Balikesir University School of Physical Education and Sports with their life satisfaction by some demographic characteristics. This is a descriptive study. The research population is composed of 865 students studying in…
Descriptors: Emotional Intelligence, Summer Schools, Physical Education, Athletics
Estévez, Estefanía; Jiménez, Teresa I.; Segura, Lucía – Journal of Educational Psychology, 2019
The present study was organized around 2 main objectives: first, to analyze emotional intelligence (EI) both in aggressors and victims of school violence, considering 3 dimensions of EI--emotional attention, emotional clarity, and emotion regulation--and second, to analyze empathy in aggressors and victims of school violence, taking into…
Descriptors: Emotional Intelligence, Empathy, Aggression, Victims
Hooton, Debbie – Teacher Education Advancement Network Journal, 2019
This study is an evaluation of learning style profiles and multiple intelligence domains of level seven trainee primary school teachers who chose to specialise in mathematics at the university where the research took place. Whilst this study focusses on mathematics specialists studying at post graduate level the information could be adapted to…
Descriptors: Profiles, Preservice Teachers, Elementary School Teachers, Mathematics Teachers
Debo, Justin; Podeschi, R. J. – Information Systems Education Journal, 2019
With the emergence of big data as a strategic weapon in business, the need for hands-on activities in undergraduate courses is essential for preparing the next wave of technical talent. As the availability of programs in data analytics and data science grows based on market demands, the need for foundational technical skills is important to equip…
Descriptors: Data Analysis, Undergraduate Students, Information Systems, Business
How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Artificial intelligence-enabled adaptive learning systems (AI-ALS) are increasingly being deployed in education to enhance the learning needs of students. However, educational stakeholders are required by policy-makers to conduct an independent evaluation of the AI-ALS using a small sample size in a pilot study, before that AI-ALS can be approved…
Descriptors: Stakeholders, Artificial Intelligence, Bayesian Statistics, Probability
García-Guardia, María-Luisa; Ayestarán-Crespo, Raquel; López-Gómez, Josefa-Elisa; Tovar-Vicente, Mónica – Comunicar: Media Education Research Journal, 2019
During the last decades, high intellectual abilities have been revealed as a decisive curricular factor that evidences the need to adapt content to students' characteristics. In Spain, various autonomous communities have designed programs that, through extraordinary activities, seek to respond to this demand and provide talented students with the…
Descriptors: Academically Gifted, Foreign Countries, Talent Identification, Secondary School Students
Griffiths, Sarah; Jarrold, Christopher; Penton-Voak, Ian S.; Woods, Andy T.; Skinner, Andy L.; Munafò, Marcus R. – Journal of Autism and Developmental Disorders, 2019
It has been proposed that impairments in emotion recognition in ASD are greater for more subtle expressions of emotion. We measured recognition of 6 basic facial expressions at 8 intensity levels in young people (6-16 years) with ASD (N = 63) and controls (N = 64) via an Internet platform. Participants with ASD were less accurate than controls at…
Descriptors: Children, Adolescents, Autism, Pervasive Developmental Disorders
Akyol, Mehmet Ali; Akdemir, Elif – World Journal of Education, 2019
IQ is considered as a true criterion of intelligence while emotional intelligence is considered as a decisive in order to be happy and successful in life. It is of interest to the educational system that emotional intelligence can be developed at the same time. Emotional intelligence gained in the family will help to improve the school life,…
Descriptors: Foreign Countries, Emotional Intelligence, Problem Solving, Preservice Teachers
Chen, C. -C.; Bellama, T. J.; Ryuh, Y. J.; Ringenbach, S. D. R. – International Journal of Developmental Disabilities, 2019
Purpose: Many observations and anecdotes have suggested that individuals with Down syndrome (DS) love music, specifically moving to music. The purpose of this study, with the assumption that the music makes people with DS dance showing more movement than general public's, is to observe the change in movement patterns of people with DS while they…
Descriptors: Participation, Performance, Down Syndrome, Dance
An, Xiaozhu; Curby, Timothy W.; Brock, Laura L. – Journal of Psychoeducational Assessment, 2019
This study examined three potential sources of variance in teacher ratings of the socioemotional skills of children: occasion, child, and teacher. The ratings were prepared using the Devereux Student Strengths Assessment. In total, 344 children were assessed in both the fall and spring of kindergarten and first grade, providing a total of 1,067…
Descriptors: Kindergarten, Grade 1, Elementary School Students, Elementary School Teachers
Aldhafri, Said; Shindi, Yousef Abu – Journal of Curriculum and Teaching, 2019
Students' emotional intelligence represents an important variable that is connected to students' academic achievement and life success. One main challenge when measuring students' emotional intelligence is to have a valid and reliable measure that captures this emotional construct. The current study aims to investigate the psychometric properties…
Descriptors: Emotional Intelligence, Psychometrics, Semitic Languages, Academic Achievement

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