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Carlos Sandoval-Medina; Carlos Argelio Arévalo-Mercado; Estela Lizbeth Muñoz-Andrade; Jaime Muñoz-Arteaga – Journal of Information Systems Education, 2024
Learning basic programming concepts in computer science-related fields poses a challenge for students, to the extent that it becomes an academic-social problem, resulting in high failure and dropout rates. Proposed solutions to the problem can be found in the literature, such as the development of new programming languages and environments, the…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Instructional Materials
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Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
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Elfeky, Abdellah Ibrahim Mohammed; Elbyaly, Marwa Yasien Helmy – Interactive Learning Environments, 2021
Little studies have been conducted on the question of the use of augmented reality technology in the education field. The effects of augmented reality technology on the educational environment of tertiary students need to be further explored. Therefore, the present study aimed to investigate the effectiveness of augmented reality technology in…
Descriptors: Skill Development, Clothing, Design, Aesthetics
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Ibili, Emin; Çat, Mevlüt; Resnyansky, Dmitry; Sahin, Sami; Billinghurst, Mark – International Journal of Mathematical Education in Science and Technology, 2020
The aim of this research was to examine the effect of Augmented Reality (AR) supported geometry teaching on students' 3D thinking skills. This research consisted of 3 steps: (1) developing a 3D thinking ability scale, (ii) design and development of an AR Geometry Tutorial System (ARGTS) and (iii) implementation and assessment of geometry teaching…
Descriptors: Geometry, Thinking Skills, Mathematics Instruction, Pretests Posttests
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Ausin, Markel Sanz; Azizsoltani, Hamoon; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Deep Reinforcement Learning (DRL) has been shown to be a very powerful technique in recent years on a wide range of applications. Much of the prior DRL work took the "online" learning approach. However, given the challenges of building accurate simulations for modeling student learning, we investigated applying DRL to induce a…
Descriptors: Reinforcement, Intelligent Tutoring Systems, Teaching Methods, Instructional Effectiveness
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Leite, Walter L.; Kuang, Huan; Shen, Zuchao; Chakraborty, Nilanjana; Michailidis, George; D'Mello, Sidney; Xing, Wanli – Grantee Submission, 2022
Previous research has shown that providing video recommendations to students in virtual learning environments implemented at scale positively affects student achievement. However, it is also critical to evaluate whether the treatment effects are heterogeneous, and whether they depend on contextual variables such as disadvantaged student status and…
Descriptors: Algebra, Teaching Methods, Mathematics Instruction, COVID-19
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Westerfield, Giles; Mitrovic, Antonija; Billinghurst, Mark – International Journal of Artificial Intelligence in Education, 2015
We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training…
Descriptors: Intelligent Tutoring Systems, Computer Simulation, Computer Science Education, Instructional Effectiveness
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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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Clement, Benjamin; Roy, Didier; Oudeyer, Pierre-Yves; Lopes, Manuel – Journal of Educational Data Mining, 2015
We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired by students, taking into account the limited time and motivational resources. At a given point in time, the system proposes to the students the activity which makes them progress faster. We introduce two…
Descriptors: Learning Activities, Intelligent Tutoring Systems, Models, Teaching Methods
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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
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Wolfe, Christopher; Widmer, Colin L.; Weil, Audrey M.; Cedillos-Whynott, Elizabeth M. – Journal on Excellence in College Teaching, 2015
Students in an undergraduate psychology course on Learning and Cognition used SKO (formerly AutoTutor Lite), an Intelligent Tutoring System, to create interactive lessons in which a pedagogic agent (animated avatar) engages users in a tutorial dialogue. After briefly describing the technology and underlying psychological theory, data from an…
Descriptors: Intelligent Tutoring Systems, Undergraduate Students, Psychology, Animation
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Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Educational Technology Research and Development, 2013
Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Mediated Communication, Intelligent Tutoring Systems
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Molenaar, Inge; Roda, Claudia; van Boxtel, Carla; Sleegers, Peter – Computers & Education, 2012
The aim of this study is to test the effects of dynamically scaffolding social regulation of middle school students working in a computer-based learning environment. Dyads in the scaffolding condition (N=56) are supported with computer-generated scaffolds and students in the control condition (N=54) do not receive scaffolds. The scaffolds are…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Metacognition, Learning Processes
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Belghith, K.; Nkambou, R.; Kabanza, F.; Hartman, L. – IEEE Transactions on Learning Technologies, 2012
Roman Tutor is a tutoring system that uses sophisticated domain knowledge to monitor the progress of students and advise them while they are learning how to operate a space telerobotic system. It is intended to help train operators of the Space Station Remote Manipulator System (SSRMS) including astronauts, operators involved in ground-based…
Descriptors: Foreign Countries, Computer Uses in Education, Instructional Materials, Space Exploration
Beal, Carole R.; Stevens, Ronald H. – Society for Research on Educational Effectiveness, 2011
Recent assessments indicate that American students do not score well on tests of scientific problem solving, relative to students in other nations. IMMEX is a web-based virtual environment that provides students with opportunities to solve science problems by viewing information resources through a suite of menu options, developing a hypothesis…
Descriptors: Feedback (Response), Chemistry, Problem Solving, Educational Technology
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