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Mengkorn Pum; Sarin Sok – Asian Journal of Distance Education, 2024
With current state-of-the-art advances in artificial intelligence (AI), especially large language models, such as Google's Gemini, Microsoft's Copilot, and ChatGPT, among others, a plethora of research on this phenomenon has been conducted worldwide aiming to examine its limitations, benefits and ethical implications. Nonetheless, such a…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Software
Yuli Deng – ProQuest LLC, 2021
Personalized learning is gaining popularity in online computer science education due to its characteristics of pacing the learning progress and adapting the instructional approach to each individual learner from a diverse background. Among various instructional methods in computer science education, hands-on labs have unique requirements of…
Descriptors: Individualized Instruction, Experiential Learning, Computer Science Education, Electronic Learning
Kathe Pelletier; Mark McCormack; Nicole Muscanell; Jamie Reeves; Jenay Robert; Nichole Arbino – EDUCAUSE, 2024
In the denouement of the COVID-19 pandemic, talk of a return to "normalcy" in higher education belies the great challenges and ongoing disruptions that yet lie ahead for many institutions. Public perceptions of the value of postsecondary education continue their downward slide, placing institutions in the position of having to…
Descriptors: Trend Analysis, Technology Uses in Education, Educational Technology, Artificial Intelligence
Office of Educational Technology, US Department of Education, 2023
This guide is designed to provide important resources and recommendations to support teacher implementation of digital learning. Digital learning is defined as "any instructional practice that effectively uses technology to strengthen a student's learning experience and encompasses a wide spectrum of tools and practices." This guide will…
Descriptors: Teaching Guides, Teaching Methods, Technology Uses in Education, Learning Experience
Office of Educational Technology, US Department of Education, 2020
Technology, when used appropriately, can empower learning, engage and motivate students, and help make learning interactive. Students can benefit from educational technology because it can personalize instruction and adapt to their strengths and weaknesses. Today's digital tools and resources support and enhance learning at home and in the…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Teaching Methods
Office of Educational Technology, US Department of Education, 2020
This guide is the Spanish version of the "Parent and Family Digital Learning Guide". Technology, when used appropriately, can empower learning, engage and motivate students, and help make learning interactive. Students can benefit from educational technology because it can personalize instruction and adapt to their strengths and…
Descriptors: Educational Technology, Technology Uses in Education, Online Courses, Teaching Methods
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Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2021
For the forty-fourth time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online and onsite during the annual AECT Convention. Volume 1 contains papers dealing primarily with research and development topics. Papers dealing with…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Course Evaluation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection