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Martin-Requejo, Katya; Santiago-Ramajo, Sandra – Electronic Journal of Research in Educational Psychology, 2021
Introduction: There continues to be a lack of conclusive data on how IQ, executive functions and emotional intelligence, as a set of factors, contribute toward academic skills. Method: This lack prompted the implementation of this study in 34 children (9-year-olds), through the application of the following instruments--Kaufman Brief Intelligence…
Descriptors: Intelligence Quotient, Executive Function, Emotional Intelligence, Academic Ability
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Gallego, María Gómez; Perez de los Cobos, Alfonso Palazón; Gallego, Juan Cándido Gómez – Education Sciences, 2021
A main goal of the university institution should be to reduce the desertion of its students, in fact, the dropout rate constitutes a basic indicator in the accreditation processes of university centers. Thus, evaluating the cognitive functions and learning skills of students with an increased risk of academic failure can be useful for the adoption…
Descriptors: Identification, At Risk Students, Potential Dropouts, Cognitive Processes
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Martín-Requejo, Katya; Santiago-Ramajo, Sandra – Mind, Brain, and Education, 2021
It is necessary to know the influence of the current pandemic situation on children's emotional intelligence (EI). Therefore, this study aimed to analyze the difference in 34 Spanish children's EI (aged 9-10) caused by the lockdown. EI was measured with the BarOn Emotional Intelligence Inventory (EQ-i:YV). Results have revealed a reduction in EI,…
Descriptors: Emotional Intelligence, Elementary School Students, Pandemics, COVID-19
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Troche, Stefan J.; von Gugelberg, Helene M.; Pahud, Olivier; Rammsayer, Thomas H. – Journal of Intelligence, 2021
One of the best-established findings in intelligence research is the pattern of positive correlations among various intelligence tests. Although this so-called positive manifold became the conceptual foundation of many theoretical accounts of intelligence, the very nature of it has remained unclear. Only recently, "Process Overlap…
Descriptors: Executive Function, Attention Control, Psychometrics, Intelligence Tests
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Silverman, Linda K.; Gilman, Barbara J. – Psychology in the Schools, 2020
School psychologists in today's schools have the unique opportunity--and responsibility--to guide identification for gifted programs. "Who is gifted?" remains a perennial question in the gifted education literature, not answered by group intelligence screeners that purportedly level the playing field for all. As the student body grows…
Descriptors: Best Practices, Academically Gifted, Talent Identification, Children
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Reiss, Michael J. – School Science Review, 2020
School genetics is changing. Nowadays, students are more likely to be introduced to the idea that many characteristics of organisms, including those of humans, are not determined by the actions of just one or two genes but result from interactions between the products of many genes and the environments of each organism. This article asks whether…
Descriptors: Science Instruction, Genetics, Intelligence, Outcomes of Education
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Lewis, Andrew – Perspectives in Education, 2019
With the ascent of the National Party to power in South Africa in 1948, education reflected apartheid thinking and practices and implemented the ideology of separate development in educational institutions. Pronouncements of the African child's inferiority were reflected in government policy and legislation. The origins of this thinking and…
Descriptors: Blacks, Foreign Countries, Race, Educational Policy
Rakha, Ahmed Hassan – Online Submission, 2023
The rapid spread of COVID-19 has forced schools and universities to close. Globally, education systems face unprecedented challenges, and learning management systems (LMS) are the only solution. The current study aimed to investigate the effectiveness of a Blackboard collaborative breakout group on the cognitive achievement of physical education…
Descriptors: Learning Management Systems, Physical Education Teachers, Teaching Styles, COVID-19
Davis, Van L. – WICHE Cooperative for Educational Technologies (WCET), 2023
This resource is a quick primer on AI, with examples of what the different programs can generate based on user prompts, challenges and opportunities, discussion of implications and our recommendations for higher education institutions.
Descriptors: Artificial Intelligence, Higher Education, Automation, Writing (Composition)
Peer, William Larson, Jr. – ProQuest LLC, 2023
The purpose of this quantitative post measure only experimental study was to determine if, or to what extent, the use of emojis by a chatbot pedagogical agent in a threaded conversation is effective in eliciting social presence, human-like, and engaging perceptions by adult learners living in North America. Social presence theory provided the…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Visual Aids, Cues
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Albreiki, Balqis; Habuza, Tetiana; Zaki, Nazar – International Journal of Educational Technology in Higher Education, 2023
Technological advances have significantly affected education, leading to the creation of online learning platforms such as virtual learning environments and massive open online courses. While these platforms offer a variety of features, none of them incorporates a module that accurately predicts students' academic performance and commitment.…
Descriptors: Identification, At Risk Students, Artificial Intelligence, Academic Achievement
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Hökkä, Päivi; Vähäsantanen, Katja; Ikävalko, Heini – Vocations and Learning, 2023
The concept of agency has recently emerged as a fruitful construct in understanding organizational practices and development. However, agency has tended so far to be seen as a rational and goal-oriented phenomenon, with little attention paid to the role of emotions within it. There is thus a need for theoretical discussion on both agency and…
Descriptors: Personal Autonomy, Emotional Response, Emotional Experience, Work Environment
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Fan, Zongwen; Chiong, Raymond – Education and Information Technologies, 2023
Digital capabilities have become increasingly important in this digital age. Within a university setting, digital capability assessment is key to curriculum design and curriculum mapping, given that digital capabilities not only can help students engage and communicate with others but also succeed at work. To the best of our knowledge, however, no…
Descriptors: Course Content, Artificial Intelligence, Technological Literacy, Computer Literacy
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Chen, Zhen; Zhu, Peixi; Qiu, Wei; Guo, Jiajie; Li, Yike – International Journal of Language & Communication Disorders, 2023
Background: Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features. Aims: To develop a generalizable DL framework for identifying dysphonia using a…
Descriptors: Voice Disorders, Acoustics, Mandarin Chinese, German
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Kim, Jinhee; Lee, Sang-Soog – TechTrends: Linking Research and Practice to Improve Learning, 2023
A growing number of educators expect that artificial intelligence (AI) will augment students' capacities and rapidly transform the teaching and learning practice. However, there is a lack of convincing evidence on the effects of Student-AI Collaboration (SAC) on a learning task's performance. A critical examination of the effects on students'…
Descriptors: Artificial Intelligence, Cooperation, Academic Achievement, Undergraduate Students
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