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Luiz Rodrigues; Filipe Dwan Pereira; Marcelo Marinho; Valmir Macario; Ig Ibert Bittencourt; Seiji Isotani; Diego Dermeval; Rafael Mello – Education and Information Technologies, 2024
Intelligent Tutoring Systems (ITS) have been widely used to enhance math learning, wherein teacher's involvement is prominent to achieve their full potential. Usually, ITSs depend on direct interaction between the students and a computer. Recently, researchers started exploring handwritten input (e.g., from paper sheets) aiming to provide…
Descriptors: Intelligent Tutoring Systems, Handwriting, Equal Education, Access to Education
Michael Ion – ProQuest LLC, 2024
In an era where digital platforms increasingly shape the educational experiences of learners, this dissertation examines activity in the Mathematics Discord Server (MDS), an expansive online learning community used by hundreds of thousands of mathematics learners worldwide. Daily interactions, numbering in the tens of thousands, focused on…
Descriptors: Mathematics Education, Artificial Intelligence, Natural Language Processing, Communities of Practice
Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary; Liu, Caixia – Educational Technology & Society, 2022
With the increasing use of Artificial Intelligence (AI) technologies in education, the number of published studies in the field has increased. However, no large-scale reviews have been conducted to comprehensively investigate the various aspects of this field. Based on 4,519 publications from 2000 to 2019, we attempt to fill this gap and identify…
Descriptors: Artificial Intelligence, Educational Trends, Educational Technology, Bibliometrics
Tan, Seng-Chee – Australasian Journal of Educational Technology, 2019
Using computers as cognitive tools or mindtools has created impact in education since their introduction in the 1990s. One main characteristic is the notion of learning with computers as intellectual partners: engaging learners in higher level thinking while taking away the lower level cognitive load such as computing and digital storage. In…
Descriptors: Computer Assisted Instruction, Learning Theories, Computer Uses in Education, Educational Technology
McCarthy, Kathryn S.; Watanabe, Micah; McNamara, Danielle S. – Grantee Submission, 2020
The Design Implementation Framework, or DIF, is a design approach that evaluates learner and user experience at multiple points in the development of intelligent tutoring systems. In this chapter, we explore how DIF was used to make system modifications to iSTART, a game-based intelligent tutoring system for reading comprehension. Using DIF as a…
Descriptors: Intelligent Tutoring Systems, Reading Comprehension, Educational Games, Program Development
Malekzadeh, Mehdi; Mustafa, Mumtaz Begum; Lahsasna, Adel – Educational Technology & Society, 2015
Having improved emotional (affective) state may have several benefits on learners, such as promoting higher cognitive flexibility and opens the learner to discovery of new ideas and possibilities. On other side, negative emotional states like boredom and frustration have been linked with less use of self-regulation and cognitive strategies for…
Descriptors: Intelligent Tutoring Systems, Emotional Response, Self Control, Cognitive Processes
Allen, Laura K.; Jacovina, Matthew E.; McNamara, Danielle S. – Grantee Submission, 2016
The development of strong writing skills is a critical (and somewhat obvious) goal within the classroom. Individuals across the world are now expected to reach a high level of writing proficiency to achieve success in both academic settings and the workplace (Geiser & Studley, 2001; Powell, 2009; Sharp, 2007). Unfortunately, strong writing…
Descriptors: Writing Skills, Writing Instruction, Writing Strategies, Teaching Methods
Santos, Olga Cristina, Ed.; Boticario, Jesus Gonzalez, Ed.; Romero, Cristobal, Ed.; Pechenizkiy, Mykola, Ed.; Merceron, Agathe, Ed.; Mitros, Piotr, Ed.; Luna, Jose Maria, Ed.; Mihaescu, Cristian, Ed.; Moreno, Pablo, Ed.; Hershkovitz, Arnon, Ed.; Ventura, Sebastian, Ed.; Desmarais, Michel, Ed. – International Educational Data Mining Society, 2015
The 8th International Conference on Educational Data Mining (EDM 2015) is held under auspices of the International Educational Data Mining Society at UNED, the National University for Distance Education in Spain. The conference held in Madrid, Spain, July 26-29, 2015, follows the seven previous editions (London 2014, Memphis 2013, Chania 2012,…
Descriptors: Data Analysis, Educational Research, Computer Uses in Education, Integrated Learning Systems
Shaughnessy, Michael F.; Fulgham, Susan M. – Educational Technology, 2016
Sigmund Tobias came to the United States in 1948, after his family had fled to China from the Holocaust in Europe. His Memoir ("Strange Haven: A Jewish Childhood in Wartime Shanghai") describes that part of his life. He settled in New York, where he completed his B.A. and M.S. in School Psychology from the City College of New York, and a…
Descriptors: Educational Technology, Interviews, Leaders, Computer Games
Pelánek, Radek; Jarušek, Petr – International Journal of Artificial Intelligence in Education, 2015
Student modeling in intelligent tutoring systems is mostly concerned with modeling correctness of students' answers. As interactive problem solving activities become increasingly common in educational systems, it is useful to focus also on timing information associated with problem solving. We argue that the focus on timing is natural for certain…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Interaction, Problem Solving
Yang, Kai-Ju – Journal of Interactive Learning Research, 2015
This paper reports on a study of twelve 10th grade students using Cognitive Tutor, a math software program, to learn linear algebra word concept. The study's purpose was to examine whether students' mathematics performance as it is related to using Cognitive Tutor provided evidence to support Koedlinger's (2002) four instructional principles used…
Descriptors: Computer Software, Computer Uses in Education, Educational Technology, Algebra
Snow, Erica L.; Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2014
Self-regulative behaviors are dynamic and evolve as a function of time and context. However, dynamical fluctuations in behaviors are often difficult to measure and therefore may not be fully captured by traditional measures alone. Utilizing system log data and two novel statistical methodologies, this study examined emergent patterns of controlled…
Descriptors: Educational Technology, Computer Uses in Education, Educational Games, Intelligent Tutoring Systems
Suraweera, Pramuditha; Mitrovic, Antonija; Martin, Brent – International Journal of Artificial Intelligence in Education, 2010
Intelligent Tutoring Systems (ITS) are effective tools for education. However, developing them is a labour-intensive and time-consuming process. A major share of the effort is devoted to acquiring the domain knowledge that underlies the system's intelligence. The goal of this research is to reduce this knowledge acquisition bottleneck and better…
Descriptors: Intelligent Tutoring Systems, Programming, Engineering, Tutoring
Haas, Timothy C. – International Journal of Distance Education Technologies, 2016
Before massive numbers of students can take online courses for college credit, the challenges of providing tutoring support, answers to student-posed questions, and the control of cheating will need to be addressed. These challenges are taken up here by developing an online course delivery system that runs in a cluster computing environment and is…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, Electronic Learning
Narciss, Susanne – Digital Education Review, 2013
This paper describes the interactive tutoring feedback model (ITF-model; Narciss, 2006; 2008), and how it can be applied to the design and evaluation of feedback strategies for digital learning environments. The ITF-model conceptualizes formative tutoring feedback as a multidimensional instructional activity that aims at contributing to the…
Descriptors: Feedback (Response), Models, Intelligent Tutoring Systems, Electronic Learning