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Predicting Primary and Middle-School Students' Preferences for Online Learning with Machine Learning
V. Selvakumar; Tilak Pakki Venkata; Teja Pakki Venkata; Shubham Singh – South African Journal of Childhood Education, 2023
Background: The COVID-19 pandemic has brought attention to student psychological wellness. Because of isolation, lack of socialisation and intellectual and physical development from excessive media use, primary and secondary school students are at high risk for health problems. Aim: This study aimed to identify the most effective machine learning…
Descriptors: Elementary School Students, Middle School Students, Preferences, Online Courses
Kurz, Terri; Jayasuriya, Suren; Swisher, Kimberlee; Mativo, John; Pidaparti, Ramana; Robinson, Dawn T. – Journal of Interactive Learning Research, 2022
Artificial intelligence is impacting society on a very large scale and should be included in K-12 educational content in some capacity to provide meaningful STEM experiences. Computer vision (a field of research that heavily leverages artificial intelligence) was emphasized in professional development for in-service teachers. The teachers received…
Descriptors: Attitude Change, Teacher Attitudes, Artificial Intelligence, Electronic Learning
Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
Mingyu Feng; Neil Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…
Descriptors: Homework, Artificial Intelligence, Computer Assisted Instruction, Feedback (Response)
Ismaila Temitayo Sanusi; Fred Martin; Ruizhe Ma; Joseph E. Gonzales; Vaishali Mahipal; Solomon Sunday Oyelere; Jarkko Suhonen; Markku Tukiainen – ACM Transactions on Computing Education, 2024
As initiatives on AI education in K-12 learning contexts continues to evolve, researchers have developed curricula among other resources to promote AI across grade levels. Yet, there is a need for more effort regarding curriculum, tools, and pedagogy, as well as assessment techniques to popularize AI at the middle school level. Drawing on prior…
Descriptors: Artificial Intelligence, Middle School Students, Learner Engagement, Technology Uses in Education
Jun Chen Hsieh – RELC Journal: A Journal of Language Teaching and Research, 2024
Despite the increasing attention to technology-enhanced language learning in English-as-a-foreign-language contexts, investigation regarding the effects of multimodal technologies on affective factors (particularly emotions and grit) in digital storytelling has remained underexplored. Therefore, this mixed-methods study reports on…
Descriptors: Multimedia Materials, Story Telling, Second Language Learning, English (Second Language)
Williams, Randi; Ali, Safinah; Devasia, Nisha; DiPaola, Daniella; Hong, Jenna; Kaputsos, Stephen P.; Jordan, Brian; Breazeal, Cynthia – International Journal of Artificial Intelligence in Education, 2023
Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly ubiquitous in everyday life. To empower children growing up with AI to navigate society's evolving sociotechnical context, we developed three middle school AI literacy curricula: "Creative AI,| "Dancing with AI," and "How to Train Your…
Descriptors: Middle School Students, Artificial Intelligence, Ethics, Curriculum
Jaafar, Inaya, Ed.; Pedersen, James M., Ed. – IGI Global, 2021
The COVID-19 pandemic has shed light on how much humans rely, more than ever before in our history, on technology. While technology in its simplest definition is the use of a tool for a practical purpose, in the last three decades, educators can confidently say it has revolutionized how information is communicated and accessed. Most importantly,…
Descriptors: Technology Uses in Education, Educational Technology, Technology Integration, STEM Education
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2020
For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 2 contains 15 papers dealing the practice of instructional technology including instruction and training…
Descriptors: Educational Technology, Technology Uses in Education, Inclusion, Higher Education
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains papers dealing…
Descriptors: Educational Technology, Electronic Learning, Technology Uses in Education, Teaching Methods
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Baptista Nunes, Miguel, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the International Conference e-Learning 2014, which was organised by the International Association for Development of the Information Society and is part of the Multi Conference on Computer Science and Information Systems (Lisbon, Portugal July 15-19, 2014). The e-Learning 2014 conference aims to address the…
Descriptors: Conference Papers, Electronic Learning, Educational Technology, Technology Uses in Education