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Onur Öztürk; Rezan Yilmaz – Online Submission, 2023
Spatial ability is frequently encountered in professional disciplines and daily life. In general, it includes abilities such as rotating objects, estimating the appearance of objects based on a person's position, and being able to think of open and closed forms of three-dimensional objects. It is essential in learning and teaching geometry. In…
Descriptors: Spatial Ability, Computer Assisted Instruction, Mathematics Instruction, Public Schools
Rusen Meylani; Gary G. Bitter – International Society for Technology, Education, and Science, 2023
The use of online learning objects in teaching algebra is examined in this research, emphasizing its benefits, such as accessibility, flexibility, interactive involvement, differentiated instruction, quick feedback, and links to real-world situations. Strategies include conceptual comprehension, interactive practice, individualized learning,…
Descriptors: Algebra, Electronic Learning, Mathematics Instruction, Mathematical Concepts
Godwin-Jones, Robert – Research-publishing.net, 2022
The use of chatbots in language learning has been on the rise. In recent Computer-Assisted Language Learning (CALL) research, there is a consensus that rule-based, scripted voice systems are optimal for language learning. Such systems integrate well into instructed language learning in that interactions with the user are predictable and…
Descriptors: Second Language Learning, Artificial Intelligence, Computer Assisted Instruction, Technology Uses in Education
Albena Nakova; Emilia Chengelova; Valentina Milenkova – International Association for Development of the Information Society, 2024
This article focuses on the work of teachers in the conditions of mobile learning, since teachers perform various activities related to preparation of classes, training and students' assessment in digital learning environment. The analysis emphasizes the fact that the responsibilities of modern teachers are becoming more complicated, following the…
Descriptors: Handheld Devices, Telecommunications, Teaching Methods, Educational Environment
Scott Cameron; Carmel Mesiti – Mathematics Education Research Group of Australasia, 2024
In their daily work teachers are responsible for several complex tasks; might AI be harnessed to support teachers in the challenging work of planning lessons? In this paper we investigate the use of an AI tool, namely ChatGPT, to generate a lesson plan that may be of use to teachers in their planning. A carefully worded prompt, informed by…
Descriptors: Artificial Intelligence, Mathematics Education, Lesson Plans, Computer Assisted Instruction

Micah Watanabe; Megan Imundo; Katerina Christhilf; Tracy Arner; Danielle S. McNamara – Grantee Submission, 2024
Reading comprehension is essential for students' ability to build knowledge. Students' comprehension abilities can be enhanced by providing students with deliberate practice and formative feedback on reading comprehension strategies. iSTART is an Intelligent Tutoring System (ITS) that is designed to provide instruction in reading strategies with…
Descriptors: Reading Comprehension, Reading Strategies, Intelligent Tutoring Systems, Reading Instruction
Chung, Rhonda; Cardoso, Walcir – Research-publishing.net, 2022
This study reports on the development of "Parlure Games" and explores its pedagogical affordances. "Parlure Games" is a multi-dialectal listening and decolonial conversation tool created to address the absence of variable speech (including speech markers associated with native speaker status, regional dialect, age, and race)…
Descriptors: Computer Assisted Instruction, Second Language Learning, French, Adult Students
Hanna, Louise; Barr, David – Research-publishing.net, 2022
The attitudes of student-teachers to Computer Assisted Language Learning (CALL) remains an under-explored topic in research literature. This mixed-methods study engaged student-teachers in focus group discussions at commencement and completion of Initial Teacher Education (ITE). These student-teachers were situated across England, Scotland, Wales,…
Descriptors: Student Teachers, Student Attitudes, Computer Assisted Instruction, Second Language Learning
April Murphy; Steve Ritter – Grantee Submission, 2022
Large-scale, classroom-based experiments using adaptive instructional software pose somewhat unique challenges for experimental design and deployment. One reason for this is that adaptive software allows students to advance through the curriculum at different rates and encounter content at different times, meaning that content targeted for…
Descriptors: Educational Experiments, Assistive Technology, Computer Software, Computer Assisted Instruction
Xu, Liangbei; Davenport, Mark A. – International Educational Data Mining Society, 2020
The goal of knowledge tracing is to track the state of a student's knowledge as it evolves over time. This plays a fundamental role in understanding the learning process and is a key task in the development of an intelligent tutoring system. In this paper we propose a novel approach to knowledge tracing that combines techniques from matrix…
Descriptors: Artificial Intelligence, Learning Analytics, Computer Assisted Instruction, Student Evaluation
Franco Ripa di Meana; Andrea Guidi; Alberto Giretti; Massimo Vaccarini; Matteo Zambelli; Dilan Durmus – International Association for Development of the Information Society, 2024
This paper presents a methodology for exploring the potential of artificial intelligence in supporting divergent thinking within academic arts education. Thirteen students from Rome Fine Arts Academy engaged with excerpts from Shakespeare's "Hamlet," using artificial intelligence (AI) tools such as Kobi, Chat GPT, and Midjourney to…
Descriptors: Foreign Countries, College Students, Art Education, Artificial Intelligence
Ethan Prihar; Adam Sales; Neil Heffernan – Grantee Submission, 2023
This work proposes Dynamic Linear Epsilon-Greedy, a novel contextual multi-armed bandit algorithm that can adaptively assign personalized content to users while enabling unbiased statistical analysis. Traditional A/B testing and reinforcement learning approaches have trade-offs between empirical investigation and maximal impact on users. Our…
Descriptors: Trust (Psychology), Learning Management Systems, Learning Processes, Algorithms
Haya Shamir; David Pocklington; Erik Yoder; Mikayla Tom; Alexander Houchins – Online Submission, 2024
Identifying effective methods that can counteract seasonal trends in learning loss is essential to ensure continuous literacy growth of young learners. Computer-assisted instruction (CAI) is a solution for providing an effective summer literacy program that could help offset summer learning loss. In this study, four-year-old students from South…
Descriptors: Achievement Gap, Prevention, Summer Programs, Computer Assisted Instruction
Yüksel Emre Harmanbasi; Rezan Yilmaz – Online Submission, 2024
Circle and disc are fundamental concepts introduced in middle school, forming the basis for many other mathematical ideas. Students often face challenges in comprehending circles, discs, and their basic elements. This research examines the processes of sixth-grade students in constructing circles, discs, and their essential components within a…
Descriptors: Grade 6, Middle School Students, Mathematics Skills, Mathematical Concepts
Burey, Joseph; Kim, Jasmine; McMaster, Kristen L.; Kendeou, Panayiota – Grantee Submission, 2022
We sought to identify the extent to which an innovative educational technology called ELCII (Early Language Comprehension Individualized Instruction) improved inference making for various populations of kindergarten students. Analyses examined student performance based on individual-level demographic characteristics (i.e., gender, race/ethnicity,…
Descriptors: Educational Technology, Reading Instruction, Individualized Instruction, Kindergarten