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Dora Kourkoulou, Editor; Anastasia-Olga Tzirides, Editor; Bill Cope, Editor; Mary Kalantzis, Editor – Springer, 2024
"Trust and Inclusion in AI-Mediated Education: Where Human Learning Meets Learning Machines" is a resource for researchers and practitioners in a field where the mainstreaming of AI technologies, and their increased capacities for deception, have produced confusion and fear. Identifying theoretical frameworks and practices in teaching…
Descriptors: Trust (Psychology), Inclusion, Artificial Intelligence, Technology Uses in Education
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Andreas Gegenfurtner, Editor; Rebekka Stahnke, Editor – New Perspectives on Learning and Instruction, 2024
Research has shown that although teachers' knowledge about the subject or pedagogy is important, a teacher's professional vision (including their perceptions and pedagogical decisions) can also have a significant impact on the efficacy of their practice. Firmly grounded in the long-standing field of teacher professional vision research, this…
Descriptors: Educational Research, Teaching Methods, Faculty Development, Decision Making
Andrew Walker, Contributor; Katherine Bao, Contributor; Kun Yuan, Contributor; Sabrina White, Contributor – Graduate Management Admission Council, 2024
The annual Application Trends Survey from the Graduate Management Admission Council (GMAC) provides the world's graduate business schools with data and insights to understand current trends in applications sent to graduate management education (GME) programs. This year's report begins with information from new survey questions about artificial…
Descriptors: College Applicants, Business Education, Graduate Study, Masters Programs
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Bannister-Tyrrell, Michelle – Australasian Journal of Gifted Education, 2017
Gagne's (1985, 2004, 2008, 2010, 2013) Differentiated Model of Giftedness and Talent (DMGT) has evolved in response to findings from the research in cognitive and developmental psychology and neuroscience. As the DMGT is commonly used in Australia, it is important that the model reflects our understanding of intelligence, what high potential is…
Descriptors: Foreign Countries, Models, Academically Gifted, Talent
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Sriraman, Bharath – ZDM: The International Journal on Mathematics Education, 2017
The aim of this paper is to provide a concise survey of advances in the study of the psychology of creativity, with an emphasis on literature that is typically not cited in mathematics education. In spite of claims that mathematical creativity is an ill-defined area of inquiry in mathematics education, the literature from psychology can serve as…
Descriptors: Creativity, Creative Thinking, Mathematics Education, Psychological Patterns
Gritsenko, Andrey – ProQuest LLC, 2017
Extreme Learning Machine (ELM) is a training algorithm for Single-Layer Feed-forward Neural Network (SLFN). The difference in theory of ELM from other training algorithms is in the existence of explicitly-given solution due to the immutability of initialed weights. In practice, ELMs achieve performance similar to that of other state-of-the-art…
Descriptors: Artificial Intelligence, Visualization, Regression (Statistics), Probability
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Mofield, Emily; Peters, Megan Parker – Parenting for High Potential, 2019
The authors believe it's important to help gifted children recognize the emotions they experience. When gifted children are able to identify their emotions, they can ultimately gain control and regulate them. However, it's not always easy for children to identify or label how they are feeling on their own. They may need guidance to understand…
Descriptors: Children, Emotional Intelligence, Psychological Patterns, Academically Gifted
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Skipper, Yvonne; Douglas, Karen M. – British Journal of Educational Psychology, 2019
Background: Previous research has explored the impact of different types of praise and criticism on how children experience success and failure. However, less is known about how teachers choose to deliver feedback and specifically whether they deliver person (ability) or process (effort) feedback. Aim: The aim of the current study was to use…
Descriptors: Foreign Countries, English Teachers, Feedback (Response), Positive Reinforcement
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González-Eras, Alexandra; Aguilar, Jose – International Journal of Artificial Intelligence in Education, 2019
Describing the competencies required by a profession is essential for aligning online profiles of job seekers and job advertisements. Comparing the competencies described within each context has typically not be done, which has generated a complete disconnect in language between them. This work presents an approach for the alignment of online…
Descriptors: Job Skills, Competence, Occupational Information, Profiles
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Crouzevialle, Marie; Darnon, Céline – Journal of Educational Psychology, 2019
Recent research has documented the academic disadvantage of low social class students, whose performance is impaired by competitive educational practices. Across 2 experiments, we examined whether the pursuit of performance-approach goals (aiming to outperform others) favors the emergence of this achievement gap. We first manipulated low versus…
Descriptors: Educationally Disadvantaged, Social Class, Achievement Gap, Goal Orientation
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Simsek, Irfan; Balaban, M. Erdal; Ergin, Hatice – Turkish Online Journal of Educational Technology - TOJET, 2019
With the Expert Examination System developed within the scope of this study, questions can be prepared in accordance with the measurement and evaluation criteria in education, which helps measure the students' actual knowledge levels effectively. It is possible to create exam forms by using these questions. The developed Special Examination System…
Descriptors: Computer Assisted Testing, Artificial Intelligence, Adaptive Testing, Item Response Theory
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Wei, Zhao; Peters, Michael A. – Educational Philosophy and Theory, 2019
This speculative paper enquires into the discourse of the 'end of labour' or 'disappearance of labour' as a result of the development of 'intelligent capitalism' clearly seen in 'intelligent manufacturing' systems that are now pursued and developed as Industry 4.0 strategy in East Asia, Germany and others parts of the world. When 'intelligent…
Descriptors: Labor, Social Systems, Manufacturing, Artificial Intelligence
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Friend, Margaret; Smolak, Erin; Patrucco-Nanchen, Tamara; Poulin-Dubois, Diane; Zesiger, Pascal – Developmental Psychology, 2019
The present research extends recent work on the prediction of preschool language skills by exploring prediction from decontextualized vocabulary comprehension. Vocabulary comprehension was a stronger predictor than parent-reported production, yielding a quadrupling of variance accounted for relative to prior studies. Parallel studies (Studies 1…
Descriptors: Preschool Children, Language Skills, Vocabulary, Comprehension
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Srinivasan, R.; Pugalenthi, N. – Shanlax International Journal of Education, 2019
The present study seeks to measure the relationship between emotional maturity and teaching competency of prospective teachers. The Emotional Maturity Scale (EMS) developed and standardised by Dr Yashvir Singh, and Dr Mahesh Bhargava revalidated by the investigator in 2019 and Teaching Competency Scale (TCS) constructed and standardised and…
Descriptors: Emotional Intelligence, Teacher Competencies, Preservice Teachers, Gender Differences
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Thenmozhi, C. – Shanlax International Journal of Education, 2019
Thinking is a common process. Cognitive ability includes knowledge, memory and metacognition. Knowledge requires memory. These two are inextricably linked. Parents and teachers need to encourage children to take an active role in their learning and show them how to use what they know to the best advantage. Cognition is primarily a mental process.…
Descriptors: Metacognition, Cognitive Ability, Knowledge Level, Memory
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