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Mongkhol Prasertsang; Metta Marwiang; Putcharee Junpeng – Journal of Education and Learning, 2025
This study aimed to assess and compare the development of mathematical procedures on the part of Grade 7 students using an intelligent tutoring system on a digital platform. The sample comprised 96 students from Khon Kaen University Demonstration School, Thailand, divided equally into experimental and control groups. The experimental group worked…
Descriptors: Foreign Countries, Mathematics Skills, Grade 7, Mathematics Instruction
Metta Marwiang; Mongkhol Prasertsang; Putcharee Junpeng – Journal of Education and Learning, 2025
This study examined the effectiveness of an intelligent tutoring system (ITS) driven by real-time feedback in enhancing students' mathematical learning outcomes, as defined by the Structure of Observed Learning Outcomes. Conducted within the domains of Measurement and Geometry, the study employed a randomized controlled trial involving 120…
Descriptors: Mathematics Achievement, Mathematics Education, Intelligent Tutoring Systems, Feedback (Response)
Kang, Jiwon; Kang, Chaewon; Yoon, Jeewoo; Ji, Houggeun; Li, Taihu; Moon, Hyunmi; Ko, Minsam; Han, Jinyoung – Education and Information Technologies, 2023
Recent technologies have extended opportunities for online dance learning by overcoming the limitations of space and time. However, dance teachers report that student-teacher interaction is more likely to be challenging in a distant and asynchronous learning environment than in a conventional dance class, such as a dance studio. To address this…
Descriptors: Educational Technology, Online Courses, Dance Education, Artificial Intelligence
Yasemin Copur-Gencturk; Chandra Hawley Orrill – Grantee Submission, 2023
The scalability and accessibility of quality professional development (PD) is an ongoing concern in the teacher education community, yet little research has been conducted on potential solutions. We aimed to address this gap by developing an interactive, virtual PD program that uses intelligent tutoring systems and provides instant feedback to…
Descriptors: Faculty Development, Online Courses, Teacher Education, Intelligent Tutoring Systems
Heeg, Dagmar Mercedes; Avraamidou, Lucy – Educational Media International, 2023
Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…
Descriptors: Artificial Intelligence, Science Instruction, Educational Technology, Program Effectiveness
McCarthy, Kathryn S.; Roscoe, Rod D.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2019
This study investigated the effect of incorporating spelling and grammar checking tools within an automated writing tutoring system, Writing Pal. High school students (n = 119) wrote and revised six persuasive essays. After initial drafts, all students received formative feedback about writing strategies. Half of the participants were also given…
Descriptors: Spelling, Grammar, Automation, Writing Instruction
Lippert, Anne; Gatewood, Jessica; Cai, Zhiqiang; Graesser, Arthur C. – Grantee Submission, 2019
One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Adult Literacy, Skill Development
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Abdollahi, Abbas; Horng, Shi-Jinn; Lim, Heuiseok – Educational Technology Research and Development, 2016
Nowadays, intelligent tutoring systems are considered an effective research tool for learning systems and problem-solving skill improvement. Nonetheless, such individualized systems may cause students to lose learning motivation when interaction and timely guidance are lacking. In order to address this problem, a solution-based intelligent…
Descriptors: Intelligent Tutoring Systems, Technology Integration, Educational Games, Formative Evaluation
Kelly, Kim; Heffernan, Neil; Heffernan, Cristina; Goldman, Susan; Pellegrino, James; Soffer-Goldstein, Deena – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
Much debate surrounds the effectiveness of the common educational practice of homework (Cooper et al., 2006). A randomized-controlled trial has shown that using a web-based homework system that provides immediate feedback to students, while they are doing their mathematics homework, and detailed item reports to teachers significantly improves…
Descriptors: Homework, Mathematics Instruction, Educational Technology, Technology Uses in Education
Vogt, Nicole P.; Muise, Amy Smith – Cogent Education, 2015
We introduce an interactive online resource for use by students and college instructors in introductory astronomy courses. The General Education Astronomy Source (GEAS) online tutor guides students developing mastery of core astronomical concepts and mathematical applications of general astronomy material. It contains over 12,000 questions, with…
Descriptors: Astronomy, Science Instruction, Internet, College Science
Kehrer, Paul; Kelly, Kim; Heffernan, Neil – Grantee Submission, 2013
Much of the literature surrounding the effectiveness of intelligent tutoring systems has focused on the type of feedback students receive. Current research suggests that the timing of feedback also plays a role in improved learning. Some researchers have shown that delaying feedback might lead to a "desirable difficulty", where students'…
Descriptors: Homework, Feedback (Response), Grade 7, Mathematics Instruction
Chu, Yian-Shu; Yang, Haw-Ching; Tseng, Shian-Shyong; Yang, Che-Ching – Educational Technology & Society, 2014
Of all teaching methods, one-to-one human tutoring is the most powerful method for promoting learning. To achieve this aim and reduce teaching load, researchers developed intelligent tutoring systems (ITSs) to employ one-to-one tutoring (Aleven, McLaren, & Sewall, 2009; Aleven, McLaren, Sewall, & Koedinger, 2009; Anderson, Corbett,…
Descriptors: Elementary School Students, Grade 5, Elementary School Mathematics, Intelligent Tutoring Systems
Adamson, David; Dyke, Gregory; Jang, Hyeju; Rosé, Carolyn Penstein – International Journal of Artificial Intelligence in Education, 2014
This paper investigates the use of conversational agents to scaffold on-line collaborative learning discussions through an approach called Academically Productive Talk (APT). In contrast to past work on dynamic support for collaborative learning, where agents were used to elevate conceptual depth by leading students through directed lines of…
Descriptors: Cooperative Learning, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Electronic Learning
Feng, Mingyu; Roschelle, Jeremy; Heffernan, Neil; Fairman, Janet; Murphy, Robert – Grantee Submission, 2014
Much research has been done on the development of an intelligent tutoring system (ITS), and small empirical studies have demonstrated the effectiveness of ITS at promoting student learning. However, large-scale implementation of ITS in school settings has not been researched thoroughly. In this paper, we describe an ongoing randomized controlled…
Descriptors: Intelligent Tutoring Systems, Homework, Educational Technology, Technology Uses in Education
Roll, Ido; Aleven, Vincent; McLaren, Bruce M.; Koedinger, Kenneth R. – Learning and Instruction, 2011
The present research investigated whether immediate metacognitive feedback on students' help-seeking errors can help students acquire better help-seeking skills. The Help Tutor, an intelligent tutor agent for help seeking, was integrated into a commercial tutoring system for geometry, the Geometry Cognitive Tutor. Study 1, with 58 students, found…
Descriptors: Feedback (Response), Help Seeking, Intelligent Tutoring Systems, Program Effectiveness
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