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Jiahong Su; Yuchun Zhong; Xinyu Chen – Interactive Learning Environments, 2024
Technology education has become increasingly important during the last few decades. Previous studies, however, have paid insufficient attention to technology education for young children aged 3-8 years, compared to research in other age groups. This study presented a comprehensive overview of technology education in early childhood education…
Descriptors: Early Childhood Education, Young Children, Literature Reviews, Technology Education
Gila Kurtz; Dan Kohen-Vacs – Interactive Learning Environments, 2024
Humanoid robotics is an emerging field striving to deploy technological devices capable of resembling and mimicking the human form. Primarily, the capability of human-like robots to interact with people has proved to be contributory in areas such as education and caretaking, but less so in adult training. In this study, we outline the design and…
Descriptors: Robotics, Technology Uses in Education, Teamwork, Training
Nirit Yuviler-Gavish; Omer Muati; Bar Hodya Gabbay – Interactive Learning Environments, 2024
The fourth industrial revolution and the rise of collaborative robots (cobots) in industrial assembly lines are changing the traditional role of human operators in assembly tasks from following a sequence of operations to working together with a cobot and being able to intervene at different stages of the assembly process. Hence, it is important…
Descriptors: Cognitive Processes, Cooperation, Robotics, Manufacturing
Jiahong Su; Weipeng Yang – Interactive Learning Environments, 2024
The issue of Artificial Intelligence (AI) literacy is gaining popularity in the field of education. Most research on AI literacy has focused on primary, secondary, and higher education, and there has been limited examination of AI literacy programs in early childhood education. This study aimed to evaluate the impact of an eight-week AI literacy…
Descriptors: Foreign Countries, Artificial Intelligence, Technological Literacy, Early Childhood Education
Yanghee Kim; Jaejin Hwang; Seongmi Lim; Moon-Heum Cho; Sungchul Lee – Interactive Learning Environments, 2024
This research explored if a social robot would play a role in facilitating the development of friendship between young children while they engage in playful learning. Grounded in child-robot interaction and child development literature, we instantiated four sessions of triadic interaction activities among two children and a robot, where the robot…
Descriptors: Kindergarten, Young Children, After School Programs, Robotics
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
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
Noawanit Songkram; Supattraporn Upapong; Heng-Yu Ku; Narongpon Aulpaijidkul; Sarun Chattunyakit; Nutthakorn Songkram – Interactive Learning Environments, 2024
This research proposes the integration of robotic education and scenario-based learning (SBL) paradigm for teaching computational thinking (CT) to enhance the computational abilities of primary school students, based on digital innovation and a teaching assistant robot acceptance model. The sample group consisted of 532 primary school teachers and…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Grade 1
Min-Chi Chiu; Gwo-Jen Hwang; Yun-Fang Tu – Interactive Learning Environments, 2024
This research reviews 56 robots in science education (RSE) research articles published in SSCI (Social Sciences Citation Index) journals in the Web of Science (WoS) database. The analysis results showed that there were three clusters of RSE studies: robots in elementary science education, robot-based STEM activities, and robot-facilitated…
Descriptors: Robotics, Science Education, Literature Reviews, Bibliometrics
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
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
Yi-Fan Liu; Wu-Yuin Hwang; Chia-Hsuan Su – Interactive Learning Environments, 2024
Drama learning is helpful for English speaking, however, few studies provided students with opportunities to practice drama conversations individually. This study proposed a Context-Awareness Smart Learning Mechanism (CASLM) and integrated into SmartVpen that consisted of context-aware learning content, context-aware input assistance, oral…
Descriptors: Context Effect, Artificial Intelligence, Second Language Learning, English (Second Language)