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Venkatasubramanian, Venkat – Chemical Engineering Education, 2022
The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…
Descriptors: Artificial Intelligence, Chemical Engineering, College Students, Teaching Methods
England, Trevor K.; Nagel, Gregory L. – Journal of Education for Business, 2022
The purpose of this paper is to provide a low-cost, effective way to teach emotional intelligence (EI) skills for email communications by utilizing Dale Carnegie's 30 Human Relations Principles. Our teaching approach is based on an actual multiple-party negotiation that included an executive from a Fortune 500 Company. Utilizing negotiation…
Descriptors: Emotional Intelligence, Interpersonal Communication, Electronic Mail, Electronic Learning
Atehortua, Laura – ProQuest LLC, 2022
Intelligence tests are used in a variety of settings such as schools, clinics, and courts to assess the intellectual capacity of individuals of all ages. Intelligence tests are used to make high-stakes decisions such as special education placement, employment, eligibility for social security services, and determination of the death penalty.…
Descriptors: Adults, Intelligence Tests, Children, Error of Measurement
On the Effectiveness of an AI-Driven Educational Resource Recommendation System for Higher Education
Schrumpf, Johannes – International Association for Development of the Information Society, 2022
Digital resources offer a vast assortment of educational opportunities for students in higher education. From 2018 to 2022, a digital study assistant (DSA), named SIDDATA, was developed at three German universities and consequently field-tested. One of the DSA's features is an AI-driven natural language interface for educational resource…
Descriptors: Higher Education, Artificial Intelligence, Educational Technology, Educational Resources
Jamie Sarah Gorson – ProQuest LLC, 2022
While there is high demand for university computer science (CS) courses, students often struggle when learning to program. Prior work has identified that student perceptions of their programming ability may contribute to these challenges. For example, studies show that students often perceive that they do not belong, are not capable of succeeding,…
Descriptors: Programming, Student Attitudes, Student Experience, Self Efficacy
Francine Bard Fabricant – ProQuest LLC, 2022
This exploratory case study examined how and if career counselors learned about the impact of automation and artificial intelligence (AI) on occupations, including which actions, activities, and conditions helped or hindered their learning, and what impact this learning had on their professional practice. The data included questionnaires and…
Descriptors: Career Counseling, Counselors, Automation, Artificial Intelligence
Alvares, Gail A.; Bebbington, Keely; Cleary, Dominique; Evans, Kiah; Glasson, Emma J.; Maybery, Murray T.; Pillar, Sarah; Uljarevic, Mirko; Varcin, Kandice; Wray, John; Whitehouse, Andrew J. O. – Autism: The International Journal of Research and Practice, 2020
'High functioning autism' is a term often used for individuals with autism spectrum disorder without an intellectual disability. Over time, this term has become synonymous with expectations of greater functional skills and better long-term outcomes, despite contradictory clinical observations. This study investigated the relationship between…
Descriptors: Misconceptions, Autism, Pervasive Developmental Disorders, Intelligence
Mahmoud M. S. Abdallah, Compiler – Online Submission, 2024
The book New Trends in Gifted Education is a comprehensive guide aimed at supporting PhD students, educators, and researchers in understanding the evolving field of gifted education within TESOL/TEFL contexts. Compiled by Dr. Mahmoud M. S. Abdallah, the book explores both established and emerging trends, focusing on practical applications that…
Descriptors: Academically Gifted, Gifted Education, Doctoral Students, English (Second Language)
Schubert, Anna-Lena; Hagemann, Dirk; Löffler, Christoph; Frischkorn, Gidon T. – Journal of Intelligence, 2020
Several studies have demonstrated that individual differences in processing speed fully mediate the association between age and intelligence, whereas the association between processing speed and intelligence cannot be explained by age differences. Because measures of processing speed reflect a plethora of cognitive and motivational processes, it…
Descriptors: Intelligence, Aging (Individuals), Age Differences, Individual Differences
Rennie, Joseph P.; Zhang, Mengya; Hawkins, Erin; Bathelt, Joe; Astle, Duncan E. – Developmental Science, 2020
We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self-organizing maps (SOMs)--a type of simple artificial neural network--to represent multivariate cognitive training data, and then tested whether the way tasks are…
Descriptors: Short Term Memory, Teaching Methods, Artificial Intelligence, Cognitive Development
Breit, Moritz; Brunner, Martin; Preckel, Franzis – Developmental Psychology, 2020
Differentiation of intelligence refers to changes in the structure of intelligence that depend on individuals' level of general cognitive ability (ability differentiation hypothesis) or age (developmental differentiation hypothesis). The present article aimed to investigate ability differentiation, developmental differentiation, and their…
Descriptors: Intelligence, Cognitive Ability, Adolescents, Age Differences
Casal-Otero, Lorena; Catala, Alejandro; Fernández-Morante, Carmen; Taboada, Maria; Cebreiro, Beatriz; Barro, Senén – International Journal of STEM Education, 2023
The successful irruption of AI-based technology in our daily lives has led to a growing educational, social, and political interest in training citizens in AI. Education systems now need to train students at the K-12 level to live in a society where they must interact with AI. Thus, AI literacy is a pedagogical and cognitive challenge at the K-12…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Multiple Literacies, Integrated Curriculum
Buijsman, Riley; Begeer, Sander; Scheeren, Anke M. – Autism: The International Journal of Research and Practice, 2023
The language used to refer to autism has been a topic of ongoing debate. Research in English-speaking countries indicated an overall preference for identity-first language ('autistic person') among autistic adults rather than person-first language ('person with autism'). We examined terminology preference in Dutch autistic adults (n = 1026; 16-84…
Descriptors: Autism Spectrum Disorders, Foreign Countries, Adults, Parents
Saini, Munish; Arora, Vaibhav; Singh, Madanjit; Singh, Jaswinder; Adebayo, Sulaimon Oyeniyi – Education and Information Technologies, 2023
With the advent of technology and digitization, the use of Information and Communication Technology (ICT) and its tools for the imperative dissemination of information to learners are gaining more ground. During the process of the conveyance of lectures, it is mostly observed that students (learners) are supposed to take notes (minutes) of the…
Descriptors: Artificial Intelligence, Multilingualism, Information Technology, Guidelines
Guleria, Pratiyush; Sood, Manu – Education and Information Technologies, 2023
Machine Learning concept learns from experiences, inferences and conceives complex queries. Machine learning techniques can be used to develop the educational framework which understands the inputs from students, parents and with intelligence generates the result. The framework integrates the features of Machine Learning (ML), Explainable AI (XAI)…
Descriptors: Artificial Intelligence, Career Counseling, Data Analysis, Employment Potential

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