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Roneet Merkin – PRIMUS, 2024
This paper reports on a novel corequisite design and implementation for College Algebra at Florida International University. The corequisite course uses online, just-in-time, prerequisite assignments delivered on an open-educational platform. Students get help from near-peer learning assistants inside a math emporium environment. The course…
Descriptors: Required Courses, College Mathematics, Algebra, Mathematics Instruction
Joseph J. Slade; Stephanie M. Byers; Kathryn A. Becker-Blease; Regan A. R. Gurung – Teaching of Psychology, 2025
Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Thomas Trendowski – Strategies: A Journal for Physical and Sport Educators, 2025
Generative artificial intelligence (GAI) is becoming more popular among educators with the recent advancements in tools such as ChatGPT and Dall-E. Although there are still questions around its efficacy, this type of technology can produce data or information based on prompts, which can be adapted for teachers' use. This article explores how this…
Descriptors: Physical Education, Team Sports, Curriculum Design, Physical Education Teachers
Christopher J. Wagner – Reading Teacher, 2024
Artificial intelligence is the simulation or development of reasoning and other human-like cognitive abilities by computers. Currently, there is limited exploration of applications of artificial intelligence tools for teaching reading to children in the early childhood and elementary grades, including how artificial intelligence might be used to…
Descriptors: Artificial Intelligence, Teaching Methods, Technology Uses in Education, Computer Software
Malhotra, Ruchika; Massoudi, Massoud; Jindal, Rajni – Education and Information Technologies, 2023
In recent years, universities have been developing more robust competency-based classes for students in Science, Technology, Engineering, and Mathematics (STEM). Competency-based education (CBE) is based on outcomes and is student-centred, creating a better learning experience. This paper provides context for competency-based education over a…
Descriptors: STEM Education, Competency Based Education, Teaching Methods, Computer Software
Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
Judy Lambert; Mark Stevens – Computers in the Schools, 2024
ChatGPT has garnered unprecedented popularity since its release in November 2022. This artificial intelligence (AI) large language model (LLM) is designed to generate human-like text based on patterns found in massive amounts of data scraped from the internet. ChatGPT is significantly different from previous versions of GPT by its quality of…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Writing Instruction
Fruzsina Szabó; Joanna Szoke – ELT Journal, 2024
In recent years, artificial intelligence (AI) has increasingly made advances across various fields, including ELT. In this article we embrace an egalitarian dialogue framework to explore and understand the role of AI in language education. This format provides a useful backdrop for navigating the dual responses--enthusiasm and scepticism--by which…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Computer Software
Johann Engelbrecht; Marcelo C. Borba – ZDM: Mathematics Education, 2024
In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of…
Descriptors: STEM Education, Art Education, COVID-19, Pandemics
Frost, Raymond; Matta, Vic; Kenyo, Lauren – Journal of Information Systems Education, 2021
Student learning benefits from individual support and feedback. This type of support does not scale well especially in large classes. A system was built to automate the delivery of individual support and feedback on Excel assignments in information systems and analytics courses. The system embeds instructional scaffolding in the distributed…
Descriptors: Automation, Scaffolding (Teaching Technique), Formative Evaluation, Individualized Instruction
Maggie A. Mosher; Lisa A. Dieker; Rebecca Hines – Journal of Special Education Preparation, 2024
The use of artificial intelligence (AI) is not a new concept. Still, the press, the worry, and the hype around the potential benefits and limitations of the explosion of these tools in this field is a current topic in teacher education. In this article, the authors summarize the past use of AI, present easily adaptable tools in teacher education,…
Descriptors: Teacher Education Programs, Futures (of Society), Artificial Intelligence, Computer Software
Luzius, Michael – Distance Learning, 2020
Adaptive learning is a computerized learning environment in which software evaluates how well students learn course content. Students read textual materials, view videos and listen to audio files. The software then creates an individualized learning path for the student based on how well they perform in quizzes embedded in their lessons. As such,…
Descriptors: Computer Assisted Instruction, Individualized Instruction, Economics Education, Computer Software
Ferlazzo, Larry; Sypnieski, Katie Hull – American Educator, 2018
With more than 35 years of combined experience teaching English language learners (ELLs), Larry Ferlazzo and Katie Hull Sypnieski understand how students learn. Together, they have written a series of books on the topic, and in this article they share their insights. Chief among them is that ELLs require particular instructional strategies to help…
Descriptors: English Language Learners, Teaching Methods, Individualized Instruction, Student Motivation
Siegle, Del – Gifted Child Today, 2015
QR codes are two-dimensional square patterns that are capable of coding information that ranges from web addresses to links to YouTube video. The codes save time typing and eliminate errors in entering addresses incorrectly. These codes make learning with technology easier for students and motivationally engage them in news ways.
Descriptors: Individualized Instruction, Academically Gifted, Talent, Coding
Kabassi, Katerina – Journal of Interactive Learning Research, 2014
This paper presents how a Geographical Information System (GIS) can be incorporated in an intelligent learning software system for environmental matters. The system is called ALGIS and incorporates the GIS in order to present effectively information about the physical and anthropogenic environment of Greece in a more interactive way. The system…
Descriptors: Geographic Information Systems, Educational Technology, Computer Software, Foreign Countries