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Showing 1 to 15 of 31 results Save | Export
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Adaptive educational software is likely to better support broader and more diverse sets of learners by considering more comprehensive views (or models) of such learners. For example, recent work proposed making inferences about "non-math" factors like reading comprehension while students used adaptive software for mathematics to better…
Descriptors: Reading Ability, Computer Software, Mathematics Education, Intelligent Tutoring Systems
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Devika Venugopalan; Ziwen Yan; Conrad Borchers; Jionghao Lin; Vincent Aleven – Grantee Submission, 2025
Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…
Descriptors: Homework, Computational Linguistics, Teaching Methods, Learning Analytics
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Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
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Zhang, Lishan; Pan, Mengqi; Yu, Shengquan; Chen, Ling; Zhang, Jing – Interactive Learning Environments, 2023
This paper introduces a system that supports student-centered online one-to-one tutoring and evaluates the practical value of the system by running an experiment with 64 experienced mathematics teachers and 810 students in Grade 7. The experiment lasted for 50 days. A comprehensive evaluation was performed using students' academic performance…
Descriptors: Mathematics Teachers, Grade 7, Middle School Students, Middle School Teachers
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Janice D. Gobert; Haiying Li; Rachel Dickler; Christine Lott – Grantee Submission, 2024
An intelligent tutoring system (ITS, henceforth) is currently defined as a computer system that delivers personalized instruction to students by using computational techniques to evaluate the learner in a variety of ways, including (but not limited to) their prior knowledge, competency/skill levels, motivation, and affective states. ITSs are…
Descriptors: Artificial Intelligence, Scaffolding (Teaching Technique), Computer Science Education, Teaching Methods
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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
Intelligent Personal Assistant (IPA) has emerged as a valuable tool for EFL learning by offering interactive authentic contexts. Although IPA is believed to be motivational and useful, empirical evidence is limited and contradictory, especially the efficacy of listening comprehension. Therefore, the study investigated the impact of IPA on…
Descriptors: English (Second Language), English Language Learners, Adolescents, Listening Comprehension
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Mark Wilson; Kathleen Scalise; Perman Gochyyev – Educational Psychology, 2019
In this article, we describe a software system for assessment development in online learning environments in contexts where there are robust links to cognitive modelling including domain and student modelling. BEAR Assessment System Software (BASS) establishes both a theoretical basis for the domain modelling logic, and offers tools for delivery,…
Descriptors: Computer Software, Electronic Learning, Test Construction, Intelligent Tutoring Systems
Shirin Hashim – ProQuest LLC, 2024
This dissertation consists of three papers. In each paper, I leverage a different quantitative method to study a downstream effect of technology on educational outcomes. In the first paper, I study the impact of an online math learning program on 3rd through 5th grade math achievement in Louisiana. Employing Zearn Math usage metrics and…
Descriptors: Technology Uses in Education, Influence of Technology, Electronic Learning, Elementary School Mathematics
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Glaze, Andrew; Moyer-Packenham, Patricia; Longhurst, Max – Journal of Computers in Mathematics and Science Teaching, 2021
The purpose of this mixed-methods study was to investigate the relationship between teachers' conceptions of mathematics and their use of intelligent tutoring systems for mathematics instruction. Intelligent tutoring systems are adaptive computer programs which administer mathematics instruction to students based on their cognitive state. A…
Descriptors: Junior High School Teachers, Mathematics Teachers, Teacher Attitudes, Technology Uses in Education
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Chen-Chung Liu; Wan-Jun Chen; Fang-ying Lo; Chia-Hui Chang; Hung-Ming Lin – Journal of Educational Computing Research, 2024
Reading requires appropriate strategies to spark initial interest and sustain engagement. One promising strategy is the pedagogical approach of learning-by-teaching, transforming learners into active participants. Integrating this approach into digitalized and individualized reading contexts has the potential to foster the development of young…
Descriptors: Reading Interests, Active Learning, Intelligent Tutoring Systems, Artificial Intelligence
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Prihar, Ethan; Heffernan, Neil – International Educational Data Mining Society, 2021
Similar content has tremendous utility in classroom and online learning environments. For example, similar content can be used to combat cheating, track students' learning over time, and model students' latent knowledge. These different use cases for similar content all rely on different notions of similarity, which make it difficult to determine…
Descriptors: Computer Software, Middle School Teachers, Mathematics Teachers, College Students
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Zulfiani Zulfiani; Iwan Permana Suwarna; Sujiyo Miranto – Journal of Baltic Science Education, 2018
Students with their different learning styles also have their own different learning approaches, and teachers cannot simultaneously facilitate them all. Teachers' limitation in serving all students' learning styles can be anticipated by the use of computer-based instructions. This research aims to develop ScEd-Adaptive Learning System (ScEd-ASL)…
Descriptors: Science Instruction, Cognitive Style, Intelligent Tutoring Systems, Teaching Methods
Glaze, Andrew R. – ProQuest LLC, 2019
The purpose of this mixed-methods study was to investigate the relationship between teachers' conceptions of mathematics and their use of intelligent tutoring systems for mathematics instruction. Intelligent tutoring systems are adaptive computer programs which administer mathematics instruction to students based on their cognitive state. A…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Web Sites
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Jenna Marks; Deena Bernett; Catherine C. Chase – International Journal of Designs for Learning, 2016
This design case describes the development of the Invention Coach, an intelligent exploratory learning environment (ELE) for the constructivist activity of Invention. The Invention Coach scaffolds students as they invent mathematical formulas to describe contrasting cases. In this paper, we detail our process and rationale for three key design…
Descriptors: Intelligent Tutoring Systems, Constructivism (Learning), Mathematics Instruction, Scaffolding (Teaching Technique)
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van der Meij, H.; van der Meij, J. – Journal of Computer Assisted Learning, 2016
This study investigates how well a video tutorial for software training that is based on Demonstration-Based Teaching supports user motivation and performance. In addition, it is studied whether reviews significantly contribute to these measures. The Control condition employs a tutorial with instructional features added to a dynamic task…
Descriptors: Grade 7, Video Technology, Tutorial Programs, Computer Software
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