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Zehui Zhan; Yao Tong; Xixin Lan; Baichang Zhong – Interactive Learning Environments, 2024
In recent years, Game-Based Learning (GBL) has been widely adopted in various educational settings. This paper aims to review empirical studies that adopt GBL in the field of AI education and explore its future research perspectives. After a systematic keyword search in the online database and a snowballing approach, a total of 125 empirical…
Descriptors: Game Based Learning, Robotics, Teaching Methods, Artificial Intelligence
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
Chiang, Feng-Kuang; Liu, Yan-qiu; Feng, Xiran; Zhuang, Yaoxian; Sun, Yulong – Interactive Learning Environments, 2023
Educational robots have been widely used in STEM education because they are operable and programmable. Robotics competitions for primary- and secondary-school students are becoming increasingly popular. The World Robot Olympiad (WRO) is an international robotics competition; each group of participants builds a robot with LEGO based on a challenge…
Descriptors: Robotics, Competition, Student Participation, STEM Education
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
Zhong, Baichang; Zheng, Jijun; Zhan, Zehui – Interactive Learning Environments, 2023
This study examined the effects of virtual and physical robots (VPR) using in different learning stages (simple session/complex session) in a robotics programming course. A quasi-experimental design was implemented with 84 junior high school students from two classes. One class with 44 students used combination of VPR strategy for learning,…
Descriptors: Robotics, Programming, Junior High School Students, Educational Technology
Chi-Jen Lin; Husni Mubarok – Interactive Learning Environments, 2024
Fostering young learners' computational thinking in AI-based robots is a crucial issue in educational settings. However, there was the complexity of technology in supporting learning activities and the gender gap issue, so an appropriate strategy is needed to guide students to achieve the learning goals. In this study, an AI (Artificial…
Descriptors: Computation, Thinking Skills, Blended Learning, Artificial Intelligence
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
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
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
Sisman, Burak; Gunay, Devrim; Kucuk, Sevda – Interactive Learning Environments, 2019
Humanoid robots equipped with social skills have come to be used increasingly in the field of education across various subfields such as science education, special education, and foreign language education. In order to enhance the use of humanoid robots in educational settings, and to comprehensively evaluate its impact on the transformation of…
Descriptors: Robotics, Attitude Measures, Secondary School Students, Student Attitudes
Wu, Wen-Chi Vivian; Wang, Rong-Jyue; Chen, Nian-Shing – Interactive Learning Environments, 2015
This paper presents a design for a cutting-edge English program in which elementary school learners of English as a foreign language in Taiwan had lively interactions with a teaching assistant robot. Three dimensions involved in the design included (1) a pleasant and interactive classroom environment as the learning context, (2) a teaching…
Descriptors: English (Second Language), Second Language Instruction, Robotics, Elementary School Students
Hsiao, Hsien-Sheng; Chang, Cheng-Sian; Lin, Chien-Yu; Hsu, Hsiu-Ling – Interactive Learning Environments, 2015
This study focused on an intelligent robot which was viewed as a language teaching/learning tool to improve children's reading ability, reading interest, and learning behavior. The iRobiQ, with its multimedia contents, was employed to encourage children to read, speak, and answer questions. Fifty-seven pre-kindergarteners participated in this…
Descriptors: Robotics, Artificial Intelligence, Teaching Methods, Reading Ability
Chen, Gwo-Dong; Nurkhamid; Wang, Chin-Yeh; Yang, Su-Hang; Lu, Wei-Yuan; Chang, Chih-Kai – Interactive Learning Environments, 2013
This study proposes a platform to provide a near-authentic environment, context, and situation for task-based learning. The platform includes two projection screens (a vertical and a horizontal screen) combined for situated or authentic learning. The horizontal screen extends the vertical screen scene to form a space for learning activities and…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Pretests Posttests