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Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steve Ritter – Grantee Submission, 2023
Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Artificial Intelligence, Intelligent Tutoring Systems
Chrysafiadi, Konstantina; Virvou, Maria; Tsihrintzis, George A.; Hatzilygeroudis, Ioannis – Education and Information Technologies, 2023
Nowadays, the improvement of digital learning with Artificial Intelligence has attracted a lot of research, as it provides solutions for individualized education styles which are independent of place and time. This is particularly the case for computer science, as a tutoring domain, which is rapidly growing and changing and as such, learners need…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science Education, Programming
Harmon, Jon; Warnakulasooriya, Rasil – International Educational Data Mining Society, 2019
The Additive Factor Model (AFM) is a cognitive diagnostic model that can be used to predict student performance on items in a context that allows for student learning. Within AFM, "skills" have a learning rate, and student acquisition of a skill depends only on the number of opportunities a student has had to exercise that skill and the…
Descriptors: Electronic Learning, Factor Analysis, Goodness of Fit, Item Response Theory
Office of Educational Technology, US Department of Education, 2014
Student access to technology is no longer a privilege: it is a prerequisite for full participation in high-quality education opportunities. While this fundamental right to technology access for learning is nonnegotiable, it is also just the first step to equitable learning opportunities. Society must continue to ask questions about the…
Descriptors: Educational Technology, Influence of Technology, Program Effectiveness, Academic Achievement
Wang, Tiantian; Su, Xiaohong; Ma, Peijun; Wang, Yuying; Wang, Kuanquan – Computers & Education, 2011
Learning to program is a difficult process for novice programmers. AutoLEP, an automated learning and assessment system, was developed by us, to aid novice programmers to obtain programming skills. AutoLEP is ability-training-oriented. It adopts a novel assessment mechanism, which combines static analysis with dynamic testing to analyze student…
Descriptors: Foreign Countries, Feedback (Response), Program Effectiveness, Learning Experience
What Works Clearinghouse, 2013
The study reviewed in this paper examined the effects of a web-based tutoring program, "Intelligent Tutoring of the Structure Strategy" ("ITSS"), on the reading comprehension of fourth-grade students in language arts classrooms. The analysis included 1,875 to 2,371 fourth-grade students from 100 to 117 classrooms in…
Descriptors: Program Evaluation, Program Effectiveness, Intelligent Tutoring Systems, Web Based Instruction
El Saadawi, Gilan M.; Azevedo, Roger; Castine, Melissa; Payne, Velma; Medvedeva, Olga; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Crowley, Rebecca S. – Advances in Health Sciences Education, 2010
Previous studies in our laboratory have shown the benefits of immediate feedback on cognitive performance for pathology residents using an intelligent tutoring system (ITS) in pathology. In this study, we examined the effect of immediate feedback on metacognitive performance, and investigated whether other metacognitive scaffolds will support…
Descriptors: Feedback (Response), Control Groups, Intervention, Intelligent Tutoring Systems
Hsu, Ching-Kun; Hwang, Gwo-Jen; Chang, Chih-Kai – Computers & Education, 2010
In a language curriculum, the training of reading ability is one of the most important aspects. Previous studies have shown the importance of assigning proper articles to individual students for training their reading ability; nevertheless, previous experience has also shown the challenges of this issue owing to the complexity of personal factors…
Descriptors: Reading Materials, Reading Ability, High School Students, Expertise
Sessink, Olivier D. T.; Beeftink, Hendrik H.; Tramper, Johannes; Hartog, Rob J. M. – Journal of Interactive Learning Research, 2007
Effectively targeting a heterogeneous student population is a common challenge in academic courses. Most traditional learning material targets the "average student," and is suboptimal for students who lack certain prior knowledge, or students who have already attained some of the course objectives. Student-activating learning material supports…
Descriptors: Prior Learning, Course Objectives, Intelligent Tutoring Systems, Tutorial Programs
Pinder, Patrice Juliet – Online Submission, 2008
Historically, very little research that meets the scientifically based standards as defined by the No Child Left Behind Act has been conducted on the effectiveness of educational technology on student achievement. The purpose of this study was to explore and seek to understand urban city teachers' perspectives on the benefits or effects of…
Descriptors: Urban Schools, Urban Teaching, Teacher Attitudes, Elementary Secondary Education
Kim, Julia M.; Hill, Randall W., Jr.; Durlach, Paula J.; Lane, H. Chad; Forbell, Eric; Core, Mark; Marsella, Stacy; Pynadath, David; Hart, John – International Journal of Artificial Intelligence in Education, 2009
Negotiation skills are essential in everyday life, whether in a professional or personal context. Negotiation enables two parties to address misunderstandings and avoid conflicts through an exchange that depends as much on the interpersonal skills of the negotiators as the tactics employed. Acquiring these skills requires not only sound conceptual…
Descriptors: Foreign Countries, Concept Formation, Cultural Context, Intelligent Tutoring Systems
Kumar, Amruth N. – Journal on Educational Resources in Computing, 2005
Researchers and educators have been developing tutors to help students learn by solving problems. The tutors vary in their ability to generate problems, generate answers, grade student answers, and provide feedback. At one end of the spectrum are tutors that depend on hand-coded problems, answers, and feedback. These tutors can be expected to be…
Descriptors: Feedback (Response), Programming Languages, Case Studies, Educational Technology
Virvou, Maria; Katsionis, George; Manos, Konstantinos – Educational Technology & Society, 2005
Computer games are very popular among children and adolescents. In this respect, they could be exploited by educational software designers to render educational software more attractive and motivating. However, it remains to be explored what the educational scope of educational software games is. In this paper, we explore several issues concerning…
Descriptors: Educational Games, Computer Simulation, Intelligent Tutoring Systems, Computer Software

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