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Karademir Coskun, Tugra – Interactive Learning Environments, 2022
In this research, robot training was conducted with teacher candidates in the department of special education, and the effectiveness of robot training was analyzed at the end of the training program. The design of the study is phenomenology. The study has been carried out with 44 teacher candidates from special education, selected by a purposeful…
Descriptors: Robotics, Training, Preservice Teachers, Models
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George Kalmpourtzis; Margarida Romero – Interactive Learning Environments, 2024
Taking into account the profound impact of technology on modern education, especially during the COVID-19 pandemic, increasing academic interest has focused towards the design and application of such tools on different learning contexts. A specific area of Human-Computer Interaction, called affordance theory, focuses on the perception, design and…
Descriptors: Robotics, Artificial Intelligence, Computer Software, Teaching Methods
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Beatriz Ortega-Ruipérez; Miguel Lázaro Alcalde – Interactive Learning Environments, 2023
Programming and robotics are resources that can be used as a learning tool for understanding content. However, some teachers are unmotivated due to preconceptions about their difficulties, which hinder their learning and subsequent application in the classroom. This study aims to determine the perception of 195 teachers teaching different grade…
Descriptors: Robotics, Programming, Teacher Attitudes, STEM Education
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Tang, Anne L. L.; Tung, Vincent Wing Sun; Cheng, Tiffany O. – Interactive Learning Environments, 2023
There is increasing interest in the potential use of educational robotics (ER) in higher education. Few studies have considered teachers' perceptions of using ER outside science and engineering. This qualitative research aims to investigate university teachers' perceived opportunities and challenges of using ER in management education from three…
Descriptors: Teacher Attitudes, Administrator Education, Educational Technology, Robotics
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Pramod Abichandani; Deepan Lobo; Branislav Dimitrijevic; Ashish Borgaonkar; Jaskirat Sodhi; Smit Kabrawala; Daniel Brateris; Moshe Kam – Interactive Learning Environments, 2024
This paper presents a competition-based active learning approach that prepares undergraduate students for careers in the drone industry. The competition-based learning (CBL) approach focuses on preparing students for three key drone industry requirements (1) drone assembly, testing, and validation using commercial off-the-shelf (COTS) parts, (2)…
Descriptors: Active Learning, Competition, Undergraduate Students, Aviation Technology
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Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
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AlNajdi, Sameer M.; Alrashidi, Malek Q.; Almohamadi, Khalid S. – Interactive Learning Environments, 2020
Augmented reality (AR) has shown potential for aiding users in their assembly tasks. It provides a magic-lens view of the physical object. Thus, assembly tasks become less demanding. An assembly task using AR provides a pre-defined sequence of actions with a minimum amount of information to do the task. Thus, there is a need to exploit the…
Descriptors: Computer Simulation, Robotics, Educational Technology, Technology Uses in Education
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Martínez-Tenor, Ángel; Cruz-Martín, Ana; Fernández-Madrigal, Juan-Antonio – Interactive Learning Environments, 2019
Preparing students for dealing with a world more and more densely populated with physical machines that possess learning capabilities, e.g. intelligent robots, is of the utmost importance in engineering. In this paper, we describe and analyse a design of interactive sessions devoted to the application of some machine learning (ML) methods within a…
Descriptors: Teaching Methods, Robotics, Masters Programs, Reinforcement
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Lye, Ngit Chan; Wong, Kok Wai; Chiou, Andrew – Interactive Learning Environments, 2013
Educational robotics involves using robots as an educational tool to provide a long term, and progressive learning activity, to cater to different age group. The current concern is that, using robots in education should not be an instance of a one-off project for the sole purpose of participating in a competitive event. Instead, it should be a…
Descriptors: Robotics, Educational Technology, Teaching Methods, Technology Uses in Education
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Hung, I-Chun; Chao, Kuo-Jen; Lee, Ling; Chen, Nian-Shing – Interactive Learning Environments, 2013
Although many researchers have pointed out that educational robots can stimulate learners' learning motivation, the learning motivation will be hardly sustained and rapidly decreased over time if the amusement and interaction merely come from the new technology itself without incorporating instructional strategies. Many researchers have…
Descriptors: Teaching Assistants, Learning Motivation, Teaching Methods, Robotics