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Mukesh Kumar Rohil; Saksham Mahajan; Trishna Paul – Education and Information Technologies, 2025
Intelligent Tutoring Systems (ITS) and Augmented Reality (AR) have become greatly popular in current scenario, especially for helping students in mastering difficult subjects through a variety of different methods with the implementation of smart algorithms. There are many papers in the current literature that discuss the ITS architecture and the…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Physical Environment, Simulated Environment
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Fatma Outay; Nafaa Jabeur; Fahmi Bellalouna; Tasnim Al Hamzi – Smart Learning Environments, 2024
To measure the effectiveness of learning activities, intensive research works have focused on the process of competency building through the identification of learning stages as well as the setup of related key performance indictors to measure the attainment of specific learning objectives. To organize the learning activities as per the background…
Descriptors: Competence, Learning Activities, Individual Characteristics, Computer Simulation
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Alabdulhadi, Asmaa; Faisal, Maha – Education and Information Technologies, 2021
A simulator-based Intelligent Tutoring System (ITS) is a computer system that is made to provide students with a learning experience that is both customizable to a student's needs (e.g., level of expertise, pace) and includes simulation, e.g., demonstrate certain domain concepts or allow problem-solving while replicating a real-life situation.…
Descriptors: STEM Education, Independent Study, Intelligent Tutoring Systems, Educational Trends
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Ju, Song; Zhou, Guojing; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Identifying critical decisions is one of the most challenging decision-making problems in real-world applications. In this work, we propose a novel Reinforcement Learning (RL) based Long-Short Term Rewards (LSTR) framework for critical decisions identification. RL is a machine learning area concerning with inducing effective decision-making…
Descriptors: Decision Making, Reinforcement, Artificial Intelligence, Man Machine Systems
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Goldberg, Benjamin; Amburn, Charles; Ragusa, Charlie; Chen, Dar-Wei – International Journal of Artificial Intelligence in Education, 2018
The U.S. Army is interested in extending the application of intelligent tutoring systems (ITS) beyond cognitive problem spaces and into psychomotor skill domains. In this paper, we present a methodology and validation procedure for creating expert model representations in the domain of rifle marksmanship. GIFT (Generalized Intelligent Framework…
Descriptors: Psychomotor Skills, Intelligent Tutoring Systems, Program Validation, Models
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Tunjera, Nyarai; Chigona, Agnes – International Journal of Information and Communication Technology Education, 2020
The study examined how teacher educators are appropriating technological, pedagogical, and content knowledge (TPACK) and substitution, augmentation, modification, redefinition (SAMR) frameworks in their pre-service teacher preparation programmes. To ensure rigor, quality, and preparedness of pre-service teachers, there is a need to articulate…
Descriptors: Teacher Educators, Technological Literacy, Pedagogical Content Knowledge, Models
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Song, Donggil – Contemporary Educational Technology, 2017
Learning-by-teaching has been identified as one of the more effective approaches to learning. Recently, educational researchers have investigated virtual environments in order to utilize the learning-by-teaching pedagogy. In a face-to-face learning-by-teaching situation, the role of the learners is to teach their peers or instructors. In virtual…
Descriptors: Intelligent Tutoring Systems, Concept Mapping, Man Machine Systems, Interaction
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Azevedo, Roger; Mudrick, Nicholas; Taub, Michelle; Wortha, Franz – Teachers College Record, 2017
Metacognition and emotions play a critical role in learners' ability to monitor and regulate their learning about 21st-century skills related to science, technology, engineering, and mathematics (STEM) content while using advanced learning technologies (ALTs; e.g., intelligent tutoring systems, serious games, hypermedia, augmented reality). In…
Descriptors: Metacognition, Psychological Patterns, STEM Education, Educational Technology
Graesser, Arthur; Li, Haiying; Forsyth, Carol – Grantee Submission, 2014
Learning is facilitated by conversational interactions both with human tutors and with computer agents that simulate human tutoring and ideal pedagogical strategies. In this article, we describe some intelligent tutoring systems (e.g., AutoTutor) in which agents interact with students in natural language while being sensitive to their cognitive…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Computer Simulation, Dialogs (Language)
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
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Halpern, Diane F.; Millis, Keith; Graesser, Arthur C.; Butler, Heather; Forsyth, Carol; Cai, Zhiqiang – Thinking Skills and Creativity, 2012
Operation ARA (Acquiring Research Acumen) is a computerized learning game that teaches critical thinking and scientific reasoning. It is a valuable learning tool that utilizes principles from the science of learning and serious computer games. Students learn the skills of scientific reasoning by engaging in interactive dialogs with avatars. They…
Descriptors: Critical Thinking, Tutoring, Thinking Skills, Educational Games
Duval, Erik, Ed.; Sharples, Mike, Ed.; Sutherland, Rosamund, Ed. – Springer, 2017
This book gives an overview of the state-of-the-art in Technology Enhanced Learning (TEL). It is organized as a collection of 14 research themes, each introduced by leading experts and including references to the most relevant literature on the theme of each cluster. Additionally, each chapter discusses four seminal papers on the theme with expert…
Descriptors: Educational Technology, Technology Uses in Education, Educational Research, Learning Theories
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Akyuz, Halil Ibrahim; Keser, Hafize – Cypriot Journal of Educational Sciences, 2015
The aim of this study is to investigate the effect of an educational agent, used in online task based learning media, and its form characteristics on problem solving ability perceptions of students. 2x2 factorial design is used in this study. The first study factor is the role of the educational agent and the second factor is form characteristics…
Descriptors: Problem Solving, Student Attitudes, Self Concept, Educational Technology
Chuah, Joon Hao – ProQuest LLC, 2013
Embodied conversational agents (ECAs) have been used as virtual conversational partners in interpersonal skills training applications such as medical interviews, military decision making, and cultural training. Ideally, in interpersonal skills training users will perceive and treat the ECAs the same as they would real people. The perception and…
Descriptors: Interpersonal Competence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
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Ptaszynski, Michal; Dybala, Pawel; Mazur, Michal; Rzepka, Rafal; Araki, Kenji; Momouchi, Yoshio – International Journal of Distance Education Technologies, 2013
This paper presents research in Contextual Affect Analysis (CAA) for the need of future application in intelligent agents, such as conversational agents or artificial tutors. The authors propose a new term, Computational Fronesis (CF), to embrace the tasks included in CAA applied to development of conversational agents such as artificial tutors.…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
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