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Peer reviewedMicah 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
Tsung-Ying Chen – Journal of Psycholinguistic Research, 2024
Artificial grammar learning (AGL) is an experimental paradigm frequently adopted to investigate the unconscious and conscious learning and application of linguistic knowledge. This paper will introduce ENIGMA (https://enigma-lang.org) as a free, flexible, and lightweight Web-based tool for running online AGL experiments. The application is…
Descriptors: Artificial Intelligence, Grammar, Computer Software, Handheld Devices
Sebastian Hobert; Florian Berens – Educational Technology Research and Development, 2024
Individualized learning support is an essential part of formal educational learning processes. However, in typical large-scale educational settings, resource constraints result in limited interaction among students, teaching assistants, and lecturers. Due to this, learning success in those settings may suffer. Inspired by current technological…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Learning Processes, Teaching Methods
Lu Ding; Kai Hung; Hua Zheng – American Journal of Distance Education, 2024
As videos have become one of the most common content delivery formats for online learning, tutorial-style videos have shown positive influences on student learning. Tutorial-style videos feature a tutoring session between an instructor and a student and can be used for online or flipped classroom teaching. However, past studies have been…
Descriptors: Intelligent Tutoring Systems, Tutoring, Lecture Method, Video Technology
John S. Y. Lee; Chak Yan Yeung; Zhenqun Yang – Interactive Learning Environments, 2024
A text recommendation system helps language learners find suitable reading materials. Similar to graded readers, most systems assign difficulty levels or school grades to the documents in their database, and then identify the documents that best match the language proficiency of the learner. This graded approach has two main limitations. First,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Second Language Learning, Language Acquisition
Aaron Haim; Eamon Worden; Neil T. Heffernan – Grantee Submission, 2024
Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…
Descriptors: Artificial Intelligence, Learning Management Systems, Computer Software, Intelligent Tutoring Systems
Ayse Alkan – International Journal of Technology in Education and Science, 2024
Artificial intelligence (AI) based education represents a significant transformation in the field of education of our age. Artificial intelligence (AI) technology has great potential to enrich the learning experience of special needs students, provide support to teachers, and reduce inequalities in education. Artificial intelligence (AI)…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Students with Disabilities
Chase C. Cicchetti – Journal of Education for Business, 2024
It was observed within the Bentley University Fall 2023 Semester Introductory Finance curriculum that applying ChatGPT-4 in a tutoring environment coincided with significantly worse student outcomes compared to no tutoring, finance tutoring, and general non-finance tutoring. This study leveraged a population of 408 freshman and sophomore…
Descriptors: Artificial Intelligence, Undergraduate Students, Outcomes of Education, Intelligent Tutoring Systems
Heather Boutell; Ashley Couture; Pamela Scretchen – ProQuest LLC, 2024
This study explored how a private, southeastern college of education (COE) supported students in passing the Praxis II examinations. Using Knowles' (1988) adult learning theory and Bandura's (1977) self-efficacy theory, the researchers examined students' experiences with various COE-provided resources and their impact on Praxis II scores. A…
Descriptors: Readiness, Self Efficacy, Private Colleges, College Students
Pamela Scretchen; Ashley Couture; Heather Boutell – ProQuest LLC, 2024
This study explored how a private, southeastern college of education (COE) supported students in passing the Praxis II examinations. Using Knowles' (1988) adult learning theory and Bandura's (1977) self-efficacy theory, the researchers examined students' experiences with various COE-provided resources and their impact on Praxis II scores. A…
Descriptors: Readiness, Self Efficacy, Private Colleges, College Students
Jiayi Zhang; Conrad Borchers; Vincent Aleven; Ryan S. Baker – International Educational Data Mining Society, 2024
Think-aloud protocols are a common method to study self-regulated learning (SRL) during learning by problem-solving. Previous studies have manually transcribed and coded students' verbalizations, labeling the presence or absence of SRL strategies and then examined these SRL codes in relation to learning. However, the coding process is difficult to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Protocol Analysis, Self Management
Bos, Rogier; van den Bogaart, Theo – Digital Experiences in Mathematics Education, 2022
This design-based study addresses the issue of how to digitally support students' problem-solving by providing heuristics, in the absence of the teacher. The problem is that, so far, digital tutoring systems lack the ability to diagnose students' needs in open problem situations. Our approach is based on students' ability to self-diagnose and find…
Descriptors: Heuristics, Problem Solving, Help Seeking, Intelligent Tutoring Systems
Wiegand, R. Paul; Bucci, Anthony; Kumar, Amruth N.; Albert, Jennifer; Gaspar, Alessio – ACM Transactions on Computing Education, 2022
In this article, we leverage ideas from the theory of coevolutionary computation to analyze interactions of students with problems. We introduce the idea of "informatively" easy or hard concepts. Our approach is different from more traditional analyses of problem difficulty such as item analysis in the sense that we consider Pareto…
Descriptors: Concept Formation, Difficulty Level, Computer Science Education, Problem Solving
Gatewood, Jessica; Tawfik, Andrew; Gish-Lieberman, Jaclyn J. – TechTrends: Linking Research and Practice to Improve Learning, 2022
Differentiated instruction contends that teachers should vary their instructional strategies to match the learners' individual differences. However, this is challenging due to various constraints of classroom and contextual variables. Adaptive systems offer a solution to this challenge, especially as instruction has increasingly moved towards an…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Ability, Cognitive Style
Xhane, Entela K. – ProQuest LLC, 2022
The purpose of this quantitative ex post facto research study is to determine if there is a difference in students' pre-calculus knowledge and mathematical skills achievement based on pre-calculus instructional conditions and gender at a community college in the Mid-Atlantic region of the United States. Three research questions were used to…
Descriptors: Interaction, Intelligent Tutoring Systems, Gender Differences, Mathematics Achievement

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