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Eric J. Conrad; Laura K. Rees – Journal of Physical Education, Recreation & Dance, 2024
Comprehensive school health education (HE), despite its link to enhancing both student health and academic achievement, often faces barriers to effective implementation. As pedagogical strategies evolve to integrate traditional methods with technological innovations like artificial intelligence (AI), the adoption of innovation in HE preparation…
Descriptors: Health Education, Teaching Methods, Artificial Intelligence, Computer Software
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Abdu Al-Kadi; Jamal Kaid Mohammed Ali – Language Teaching Research Quarterly, 2024
Artificial Intelligence (AI) has penetrated English language learning and teaching, and this penetration parallels a surge of research on its potential and challenges for learners and teachers altogether. This paper provides a glimpse of the status quo of generative (Gen) AI in contexts where English is not used natively. Adopting a holistic…
Descriptors: Artificial Intelligence, Computer Software, Independent Study, Teaching Methods
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Jaksic, Cyril; Schlegel, Katja – Journal of Intelligence, 2020
The ability to accurately judge others' personality and the ability to accurately recognize others' emotions are both part of the broader construct of interpersonal accuracy (IPA). However, little research has examined the association between these two IPA domains. Little is also known about the relationship between personality judgment accuracy…
Descriptors: Accuracy, Evaluative Thinking, Personality Traits, Recognition (Psychology)
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Parapadakis, Dimitris – London Review of Education, 2020
The successes of using artificial intelligence (AI) in analysing large-scale data at a low cost make it an attractive tool for analysing student data to discover models that can inform decision makers in education. This article looks at the case of decision making from models of student satisfaction, using research on ten years (2008-17) of…
Descriptors: Artificial Intelligence, Prediction, Student Needs, Needs Assessment
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Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2020
For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…
Descriptors: Natural Language Processing, Artificial Intelligence, Man Machine Systems, Classification
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Çinar, Ayse; Ince, Elif; Gezer, Murat; Yilmaz, Özgür – Education and Information Technologies, 2020
Worldwide, open-ended questions that require short answers have been used in many exams in fields of science, such as the International Student Assessment Program (PISA), the International Science and Maths Trends Research (TIMSS). However, multiple-choice questions are used for many exams at the national level in Turkey, especially high school…
Descriptors: Foreign Countries, Computer Assisted Testing, Artificial Intelligence, Grading
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Shih, Yi-Huang – International Journal of Education and Practice, 2020
Teaching students to appreciate the beauty of life in the world through aesthetic education, using a variety of teaching principles to extend their aesthetic experience, will promote "aesthetic intelligence" for children in Taiwan. This can enrich their aesthetic literacy, and give them a desire to perceive and appreciate beautiful…
Descriptors: Aesthetic Education, Teaching Methods, Aesthetics, Intelligence
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Bildiren, Ahmet; Firat, Tahsin – Education 3-13, 2020
There are difficulties regarding the identification of twice-exceptional students in Turkey. These children can be identified properly by way of multidimensional assessment. The purpose of the present study was to examine through family interviews, child interviews, products of the child and non-verbal intelligence tests the areas of difficulty…
Descriptors: Foreign Countries, Academically Gifted, Learning Disabilities, Identification
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Komalavalli, K.; Hemalatha, R.; Dhanalakshmi, S. – Shanlax International Journal of Education, 2020
In the current scenario, Smart Phones are one of the Artificial Intelligence devices regularly used by the students. The study aimed to know the utility of the SmartPhones in their day to day life, most useful applications and the valid security features of the Smart Phones and its impact among the Students at Higher Education level. Primary data…
Descriptors: Artificial Intelligence, Telecommunications, Handheld Devices, College Students
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Camerota, Marie; Willoughby, Michael T. – Child Development, 2020
Little research has considered whether prenatal experience contributes to executive function (EF) development above and beyond postnatal experience. This study tests direct, mediated, and moderated associations between prenatal risk factors and preschool EF and IQ in a longitudinal sample of 1,292 children from the Family Life Project. A composite…
Descriptors: Prenatal Influences, Risk, Predictor Variables, Preschool Children
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Kurnaz-Adibatmaz, Fatma Betül; Yildiz, Hüseyin – Journal of Theoretical Educational Science, 2020
In this study logistic regression and Lord's Chi Square methods were used to research the items that have DIF. The study utilized Peabody Picture Vocabulary Test (PPVT). The original form of the PPVT includes four options. Three different forms (A, B and C) were formed by removing one of the distractors respectively. The original form of PPVT was…
Descriptors: Item Analysis, Test Items, Vocabulary, Verbal Ability
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Mavrelos, Manos; Daradoumis, Thanasis – Education Sciences, 2020
Waldorf Education follows a holistic approach of children's development, where the fundamental characteristics are creative/artistic activities, integrating imagination-based teaching methods to support and enhance the development of children's and adolescents' physical, social, emotional, and cognitive skills. Neuroeducation provides the most…
Descriptors: Multiple Intelligences, Cognitive Development, Teaching Methods, Nontraditional Education
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Fryer, Luke K.; Coniam, David; Carpenter, Rollo; Lapu?neanu, Diana – Language Learning & Technology, 2020
Bots are destined to dominate how humans interact with the internet of things that continues to grow around them. Despite their still budding intellectual capacity, major companies (e.g., Apple, Google and Amazon) have already placed (chat)bots at the centre of their flagship devices. (Chat)Bots currently fill the internet acting as guides,…
Descriptors: Second Language Learning, Second Language Instruction, Information Technology, Internet
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Brinia, Vasiliki; Papadopoulou, Georgia; Psoni, Paraskevi – International Journal of Educational Management, 2020
Purpose: The purpose of this paper is to investigate the way informal groups rise and operate in the Teacher Association in a Secondary Vocational School Unit in Greece. More specifically, the way the role of the head teacher, the school culture and teachers' emotional intelligence impacts these groups is investigated. Design/methodology/approach:…
Descriptors: Group Dynamics, Vocational Schools, Secondary Schools, Teacher Associations
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Crowston, Kevin; Østerlund, Carsten; Lee, Tae Kyoung; Jackson, Corey; Harandi, Mahboobeh; Allen, Sarah; Bahaadini, Sara; Coughlin, Scott; Katsaggelos, Aggelos K.; Larson, Shane L.; Rohani, Neda; Smith, Joshua R.; Trouille, Laura; Zevin, Michael – IEEE Transactions on Learning Technologies, 2020
We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is…
Descriptors: Citizen Participation, Scientific Research, Man Machine Systems, Training
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