NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,666 to 1,680 of 8,863 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hsueh, Sung-Lin; Zhou, Bin; Chen, Yu-Lung; Yan, Min-Ren – International Journal of Technology and Design Education, 2022
Cultural and creative products are incredibly diverse that difficult to mass-produce and fail to meet market demands. The unique characteristics and the cultural and sales value of cultural and creative products must be highlighted through the application of multifunctional design. As a scientific approach, the Delphi method and fuzzy logic theory…
Descriptors: Cultural Influences, Design, Creativity, Semantics
Peer reviewed Peer reviewed
Direct linkDirect link
Ambrose, Don – Gifted Education International, 2022
Theoretical and practical work in gifted education has been dominated by mechanistic precision in measurements designed to select students for gifted programs and guide them through their development. Too much faith in mechanistic precision can become a form of dogmatism that obscures very important, less-measurable dimensions of human ability.…
Descriptors: Gifted Education, Academically Gifted, Talent Identification, Definitions
Peer reviewed Peer reviewed
Direct linkDirect link
Basnet, Ram B.; Johnson, Clayton; Doleck, Tenzin – Education and Information Technologies, 2022
The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it…
Descriptors: Prediction, Dropouts, Predictive Measurement, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Collier, Zachary K.; Leite, Walter L. – Journal of Experimental Education, 2022
Artificial neural networks (NN) can help researchers estimate propensity scores for quasi-experimental estimation of treatment effects because they can automatically detect complex interactions involving many covariates. However, NN is difficult to implement due to the complexity of choosing an algorithm for various treatment levels and monitoring…
Descriptors: Artificial Intelligence, Mentors, Beginning Teachers, Teacher Persistence
Peer reviewed Peer reviewed
Direct linkDirect link
Siren, Anni; Tzerpos, Vassilios – IEEE Transactions on Learning Technologies, 2022
Learning paths are curated sequences of resources organized in a way that a learner has all the prerequisite knowledge needed to achieve their learning goals. In this article, we systematically map the techniques and algorithms that are needed to create such learning paths automatically. We focus on open educational resources (OER), though a…
Descriptors: Open Educational Resources, Artificial Intelligence, Instructional Materials, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Hussain, Asif; Khan, Muzammil; Ullah, Kifayat – Education and Information Technologies, 2022
Educational institutions are creating a considerable amount of data regarding students, faculty and related organs. This data is an essential asset for academic institutions as it has valuable insights, knowledge and intelligence for the policymakers. Students are the fundamental entities and primary source of data creation in any educational…
Descriptors: Data Analysis, Artificial Intelligence, Prediction, Academic Achievement
Frisby, Joshua C. – ProQuest LLC, 2022
Higher education institutions adopt conversational agents, or chatbots, to perform and automate certain business functions. While chatbots exist to support Enrollment Services, Financial Aid, and other departments within an institution, Institutional Research lacks options. Institutional Research supports higher education institutions by providing…
Descriptors: Institutional Research, Artificial Intelligence, Higher Education, State Universities
Peer reviewed Peer reviewed
Direct linkDirect link
Mohammad Alawamleh; Rabab Alatout; Worud Awamleh – Journal of Academic Ethics, 2026
This study aims to provide a comprehensive understanding of how AI is influencing and shaping various aspects within the academic context by using a mixed-methods approach, combining quantitative investigation and qualitative analysis to explore AI impacts on undergraduate education. The findings indicate a significant positive correlation between…
Descriptors: Undergraduate Students, Undergraduate Study, Artificial Intelligence, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Shijin Li; Rui Li – Journal of Educational Computing Research, 2026
Artificial intelligence in education (AIED) applications have emerged as a promising solution to address the unique educational challenges faced by students with autism spectrum disorder (ASD). However, there is a lack of comprehensive meta-analyses examining the effectiveness of AIED applications on ASD students' academic achievement and the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Autism Spectrum Disorders, Students with Disabilities
Peer reviewed Peer reviewed
Direct linkDirect link
Hilbert, Sven; Coors, Stefan; Kraus, Elisabeth; Bischl, Bernd; Lindl, Alfred; Frei, Mario; Wild, Johannes; Krauss, Stefan; Goretzko, David; Stachl, Clemens – Review of Education, 2021
Machine learning (ML) provides a powerful framework for the analysis of high-dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non-linear effects. The impact of ML methods on research and practical applications in the educational sciences is still limited, but…
Descriptors: Artificial Intelligence, Online Courses, Educational Research, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Nye, Benjamin D.; Core, Mark G.; Jaiswa, Shikhar; Ghosal, Aviroop; Auerbach, Daniel – International Educational Data Mining Society, 2021
Engaged and disengaged behaviors have been studied across a variety of educational contexts. However, tools to analyze engagement typically require custom-coding and calibration for a system. This limits engagement detection to systems where experts are available to study patterns and build detectors. This work studies a new approach to classify…
Descriptors: Learner Engagement, Profiles, Artificial Intelligence, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Kate Powell – Montessori Life: A Publication of the American Montessori Society, 2024
In a span of about three days in the spring of 2023, the author's Instagram feed became inundated with mentions of artificial intelligence (AI), including Chat GPT, text-to-image models, and much more. She would turn on the radio and hear about the controversy surrounding AI, or look at her cousin's social media posts about the injustices of her…
Descriptors: Artificial Intelligence, Teaching Methods, Elementary School Teachers, Montessori Schools
Peer reviewed Peer reviewed
Direct linkDirect link
Nur Azlina Mohamed Mokmin; Regania Pasca Rassy – Education and Information Technologies, 2024
One of the most advanced reality technologies for education in recent years is augmented reality (AR). To create a fun learning atmosphere and to aid student learning, several subjects have begun incorporating modern technology into their teaching and learning procedures. In addition to being extensively tested and developed for typical students,…
Descriptors: Artificial Intelligence, Students with Disabilities, Physical Education, Accessibility (for Disabled)
Peer reviewed Peer reviewed
Direct linkDirect link
Logan Sizemore; Brian Hutchinson; Emily Borda – Chemistry Education Research and Practice, 2024
Education researchers are deeply interested in understanding the way students organize their knowledge. Card sort tasks, which require students to group concepts, are one mechanism to infer a student's organizational strategy. However, the limited resolution of card sort tasks means they necessarily miss some of the nuance in a student's strategy.…
Descriptors: Artificial Intelligence, Chemistry, Cognitive Ability, Abstract Reasoning
Peer reviewed Peer reviewed
Direct linkDirect link
Naveen Gudigantala; Vijay Mehrotra – Journal of Information Systems Education, 2024
Founded in 2006, Zillow established itself as the leading online real estate marketplace. In 2018, Zillow launched Zillow Offers, a new business that purchased and sold homes. Zillow Offers provided home sellers with a faster purchase process than traditional realtors by gathering data from sellers online and making offers immediately, a process…
Descriptors: Housing, Artificial Intelligence, Internet, Web Sites
Pages: 1  |  ...  |  108  |  109  |  110  |  111  |  112  |  113  |  114  |  115  |  116  |  ...  |  591