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Fahd Ali Raza; Abtar Darshan Singh; Jonathan Jeevan Strinivas Kovilpillai; Analisa Hamdan; Vaikunthan Rajaratnam – European Journal of STEM Education, 2025
Artificial Intelligence (AI) is rapidly reshaping educational systems worldwide, raising critical debates about the reliability of AI-generated content, the validity of AI-driven assessments, and the ethical implications of its integration into diverse learning environments. This study examines the integrity of AI-enhanced education within the…
Descriptors: Foreign Countries, Integrity, Artificial Intelligence, Stakeholders
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Ting-Chia Hsu; Tai-Ping Hsu – Education and Information Technologies, 2025
While computational thinking (CT) is crucial for modern education, integrating artificial intelligence (AI) into learning poses challenges due to its complexity. Generative AI Drawing (GAID) offers an intuitive method for teaching AI concepts, but barriers such as restrictive access for younger students and limited instructional frameworks hinder…
Descriptors: Teaching Methods, Artificial Intelligence, Educational Games, Freehand Drawing
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Li, Liping; Zhu, Danli; Wu, Xinchun – Reading & Writing Quarterly, 2021
This study investigated whether listening comprehension played a mediator role between vocabulary and reading comprehension. 127 Mandarin-speaking children were longitudinally assessed at 6;4, 6;10, 7;4, and 7;10. Data were collected in four batteries of tests implemented at the beginning of first grade (T[subscript 1]); at mid-first grade…
Descriptors: Vocabulary Development, Listening Comprehension, Reading Comprehension, Emergent Literacy
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Ruffin, Ingrid, Ed.; Powell, Charissa, Ed. – IGI Global, 2021
The many and varied challenges facing higher education include a culture of publish or perish, increased course loads without more pay or benefits, increased pressure on institutions to compete for students, budget cuts, a political atmosphere targeting higher education, and continued systemic inequities. Those who work in higher ed are under more…
Descriptors: Higher Education, Publish or Perish Issue, Self Concept, Emotional Response
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Warren, Nick; Eatchel, Bridges; Kirby, Anne V.; Diener, Marissa; Wright, Cheryl; D'Astous, Valerie – Autism: The International Journal of Research and Practice, 2021
There is a need for strengths-based intervention approaches for autistic youth during the transition to adulthood. In the current study, we explored parent perspectives about youth strengths during adolescence. We combined data from three studies which included semi-structured interviews about parents' perspectives on preparing for adulthood with…
Descriptors: Parent Attitudes, Autism, Pervasive Developmental Disorders, Adolescents
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Mingins, Jessica E.; Tarver, Joanne; Waite, Jane; Jones, Chris; Surtees, Andrew D. R. – Autism: The International Journal of Research and Practice, 2021
Autistic children experience higher levels of anxiety than their peers. Making appropriate diagnoses of anxiety disorders and providing effective treatment for these children is particularly difficult. Inconsistent evidence suggests that levels of anxiety in autistic children are related to intellectual functioning. We provide the first…
Descriptors: Anxiety, Autism, Pervasive Developmental Disorders, Intelligence Quotient
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Istenic, Andreja; Bratko, Ivan; Rosanda, Violeta – British Journal of Educational Technology, 2021
Teachers' readiness for technology integration depends also on their beliefs about the contribution of technology to teaching and learning, which influence their motivation for its adoption. Initial pre-service teacher education is critical in reducing the attitude-behaviour divide supporting technology acceptability, acceptance and use.…
Descriptors: Preservice Teachers, Technology Integration, Robotics, Technology Uses in Education
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Silvia, Paul J.; Beaty, Roger E. – Journal of Intelligence, 2021
The present research examined the varieties of poor metaphors to gain insight into the cognitive processes involved in generating creative ones. Drawing upon data from two published studies as well as a new sample, adults' open-ended responses to different metaphor prompts were categorized. Poor metaphors fell into two broad clusters.…
Descriptors: Figurative Language, Intelligence, Personality Traits, Experience
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Edirisooriya, Monisha; Dykiert, Dominika; Auyeung, Bonnie – Journal of Autism and Developmental Disorders, 2021
Intelligence quotient (IQ), has been found to relate to the presence of internalising symptoms in autism spectrum disorder (ASD). This meta-analysis sought to clarify the direction of the relationship between IQ and two prevalent internalising symptoms, anxiety and depression, in adolescents with ASD. Secondly, this study aimed to highlight…
Descriptors: Intelligence Quotient, Symptoms (Individual Disorders), Adolescents, Autism
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Sternberg, Robert J.; Glaveanu, Vlad; Karami, Sareh; Kaufman, James C.; Phillipson, Shane N.; Preiss, David D. – Journal of Intelligence, 2021
A deeper understanding of the processes leading to problem framing and behind finding solutions to problems should help explain variability in the quality of the solutions to those problems. Using Sternberg's WICS model as the conceptual basis of problem solving, this article discusses the relations between creative, analytical, practical, and…
Descriptors: Intelligence, Creative Thinking, Logical Thinking, Cognitive Processes
Kise, Jane; Holm, Ann – Educational Leadership, 2021
Emotional intelligence involves recognizing and using one's own emotions well, and recognizing and working well with, or even influencing, the emotions of others. No one achieves emotional intelligence once and for all. Increasing emotional intelligence (EQ) is an ongoing process, and one's capacity can shift because of many factors such as levels…
Descriptors: Emotional Intelligence, Classroom Techniques, Psychological Patterns, Emotional Response
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Román-Calderón, Juan Pablo; Aguilar-Barrientos, Sara; Escalante, Juan Esteban; Barbosa, Jaime; Arias Salazar, Alejandro – Journal of Experiential Education, 2021
Background: The development of employability skills is a concern of educational institutions, which must introduce experiential learning scenarios for undergraduate students. Purpose: This study is aimed at testing the relationship between emotional intelligence and individual task performance in teams, during a recruiting activity for an…
Descriptors: Cooperative Learning, Emotional Intelligence, Employment Potential, Undergraduate Students
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Doan, Tiffany; Friedman, Ori; Denison, Stephanie – Developmental Psychology, 2021
How we feel about an outcome often depends on how close an alternative outcome was to occurring. In four experiments, we investigated whether predominantly White, middle-class, Canadian children (N = 425, Experiments 1-3) and American adults (N = 227, Experiment 4) consider close counterfactual alternatives when inferring other people's emotions.…
Descriptors: Thinking Skills, Foreign Countries, Emotional Intelligence, Children
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Vázquez-Cano, Esteban; Mengual-Andrés, Santiago; López-Meneses, Eloy – International Journal of Educational Technology in Higher Education, 2021
The objective of this article is to analyze the didactic functionality of a chatbot to improve the results of the students of the National University of Distance Education (UNED / Spain) in accessing the university in the subject of Spanish Language. For this, a quasi-experimental experiment was designed, and a quantitative methodology was used…
Descriptors: Computer Mediated Communication, Artificial Intelligence, Punctuation, Spanish
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Goldberg, Patricia; Sümer, Ömer; Stürmer, Kathleen; Wagner, Wolfgang; Göllner, Richard; Gerjets, Peter; Kasneci, Enkelejda; Trautwein, Ulrich – Educational Psychology Review, 2021
Teachers must be able to monitor students' behavior and identify valid cues in order to draw conclusions about students' actual engagement in learning activities. Teacher training can support (inexperienced) teachers in developing these skills by using videotaped teaching to highlight which indicators should be considered. However, this supposes…
Descriptors: Artificial Intelligence, Learner Engagement, Attention, Video Technology
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