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Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
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Paula Sarria-Martínez; María del Valle Moya-Martínez; Alonso Mateo-Gómez – Online Submission, 2023
Objective: This study aimed to verify the effectiveness of an intervention based on Emotional Intelligence (EI) and the arts. Method: A didactic program was conducted to develop EI with 55 Primary Education students, ranging from 8 to 12 years old. The program focused on artistic and musical activities. The participants belonged to a school with…
Descriptors: Intervention, Emotional Intelligence, Elementary School Students, Social Isolation
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Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
OECD Publishing, 2023
As artificial intelligence (AI) expands its scope of applications across society, understanding its impact becomes increasingly critical. The OECD's AI and the Future of Skills (AIFS) project is developing a comprehensive framework for regularly measuring AI capabilities and comparing them to human skills. The resulting AI indicators should help…
Descriptors: Artificial Intelligence, Skill Development, Computer Software, Futures (of Society)
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Nancy J. Murray – Teaching and Learning Excellence through Scholarship, 2023
18 students engaged in learning about artificial intelligence, specifically ChatGPT 3 (CHAT), to respond to the question of whether it is ethical or practical for students to use CHAT in college-level classrooms to complete assignments. A thematic unit was created and taught in 2 face-to-face English 101 classes to explore the topic of CHAT. The…
Descriptors: Artificial Intelligence, English Instruction, Synchronous Communication, Computer Software
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Danijela Stojanovic; Zorica Bogdanovic; Luka Petrovic; Svetlana Mitrovic; Aleksandra Labus – Interactive Learning Environments, 2023
In this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have…
Descriptors: Learning Processes, Secondary School Students, Technology Uses in Education, Handheld Devices
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Tyagi, Tarun Kumar – Creativity Research Journal, 2017
This study investigated the causal relationship between mathematical creativity and mathematical intelligence. Four hundred thirty-nine 8th-grade students, age ranged from 11 to 14 years, were included in the sample of this study by random cluster technique on which mathematical creativity and Hindi adaptation of mathematical intelligence test…
Descriptors: Creativity, Mathematics Skills, Intelligence, Grade 8
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Kraper, Catherine K.; Kenworthy, Lauren; Popal, Haroon; Martin, Alex; Wallace, Gregory L. – Journal of Autism and Developmental Disorders, 2017
For individuals with autism spectrum disorder (ASD), long-term outcomes have been troubling, and intact IQ has not been shown to be protective. Nevertheless, relatively little research into adaptive functioning among adults with ASD has been completed to date. Therefore, both adaptive functioning and comorbid psychopathology were assessed among 52…
Descriptors: Adjustment (to Environment), Intelligence, Autism, Pervasive Developmental Disorders
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Chen, Yu; Albert, Leslie Jordan; Jensen, Scott – Decision Sciences Journal of Innovative Education, 2022
In the past few years, an increased use of artificial intelligence (AI) by businesses across a range of industries has led to greater demand for employees with AI skills. This raises the question of how educators can introduce AI technologies to undergraduate business students while also developing their higher-order thinking skills and preparing…
Descriptors: Artificial Intelligence, Introductory Courses, Management Information Systems, Business Administration Education
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Shardlow, Matthew; Sellar, Sam; Rousell, David – Learning Environments Research, 2022
The digitisation of higher education is raising significant questions about the impact of artificial intelligence and automation on teaching and learning environments, highlighting the need to investigate how teachers and students can work with new educational technologies in complementary ways. This paper reports results from a pilot study of the…
Descriptors: Natural Language Processing, Educational Environment, Educational Technology, College Students
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de Kraker-Pauw, Emmy; van Wesel, Floryt; Krabbendam, Lydia; van Atteveldt, Nienke – Journal of Adolescent Research, 2022
Important adolescents' career-related decisions might be influenced by their beliefs about malleability of intelligence and learning (mindset). We combined quantitative and qualitative data to provide in-depth insights in the beliefs that 13- and 14-year olds hold about learning and intelligence, the factors influencing these beliefs, and the…
Descriptors: Student Attitudes, Intelligence, Gender Differences, Career Choice
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Sing, Chai Ching; Teo, Timothy; Huang, Fang; Chiu, Thomas K. F.; Xing wei, Wang – Educational Technology Research and Development, 2022
As Artificial Intelligence (AI) is rapidly integrated into existing technologies which has brought forth the fourth industrial and learning revolution, designing curriculum for AI education has become an important strategic development for education authorities throughout the world. Framed broadly from the Theory of Planned Behavior, this study…
Descriptors: Secondary School Students, Intention, Technology Uses in Education, Artificial Intelligence
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Wetcho, Suthanit; Na-Songkhla, Jaitip – Contemporary Educational Technology, 2022
In the era of a workforce driven by automation and artificial intelligence, social and emotional skills are becoming increasingly relevant to online learning environments. Since social-emotional learning may be defined as a vital component of the learning process in professional instructional design practices, online learners not only need to…
Descriptors: Preservice Teachers, Social Emotional Learning, Assistive Technology, Handheld Devices
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Cederlund, Mats – Journal of Autism and Developmental Disorders, 2022
One-hundred twenty-four pre-school children referred for assessment to a neuropsychiatric team were included in this study of the Autism Behavior Checklist (ABC), ESSENCE-Q, and Conners Abbreviated Parent-Teacher Rating Scale (CAPRS). All three questionnaires showed a good correlation towards severity of symptoms in ASD. The ABC questionnaire was,…
Descriptors: Preschool Children, Autism, Pervasive Developmental Disorders, Severity (of Disability)
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Essiane, Salome Ndjakomo; Essama, Bedel Giscard Onana – Physics Education, 2022
The goal of this work is to build a low cost pedagogical device able to improve the comprehension of weather phenomena for African students in particular and in general for students across the world. This experimental and didactic device can be seen as an easy teaching tool to measure meteorological and climatic data. This structure is called a…
Descriptors: Weather, Science Instruction, Measurement Equipment, Climate
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