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Showing 16 to 30 of 172 results Save | Export
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Rowe, Shawn; Riggio, Mariapaola; De Amicis, Raffaele; Rowe, Susan R. – Education Sciences, 2020
This paper discusses elementary, and secondary (K-12) teachers' perceptions of cross-reality (XR) tools for data visualization and use of sensor data from the built environment in classroom curricula. Our objective was to explore the use of sensor-informed XR in the built environment and civil engineering (BECE) field to support K-12 science,…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Artificial Intelligence
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John Barrow; William Hurst; Joakim Edman; Natasja Ariesen; Caspar Krampe – Education and Information Technologies, 2024
Virtual Reality (VR) involves the coupling of visual communication hardware and software. The technology is capable of offering transformative educational practice and is increasingly being adopted within the biochemistry domain to better understand complex biochemical processes. This article documents a pilot study for the efficacy of VR in…
Descriptors: Computer Simulation, Biochemistry, Science Education, Cytology
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Lappalainen, Pia – European Journal of Engineering Education, 2020
The social dynamics interfering with engineering design expose engineers to workplace conflicts, undermining well-being and productivity. This strengthens the case for engineering management competences, and conflict management in particular. This conceptual study deepens understanding of industrial leadership by integrating prior knowledge of…
Descriptors: Engineering Education, Management Development, Prevention, Conflict
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
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Tunyagi, A.; Kandrai, K.; Fülöp, Z.; Kapusi, Z.; Simon, A. – Physics Education, 2018
A simple and low-cost, DIY-type, Arduino-driven experiment is presented for the study of friction and measurement of the friction coefficient, using a conductive rubber cord as a force sensor. It is proposed for high-school or college/university-level students. We strongly believe that it is worthwhile planning, designing and performing Arduino…
Descriptors: Electronics, Measurement Techniques, Secondary School Science, College Science
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Bensky, William C. – Physics Teacher, 2018
Although mainly used by the hobby or "maker" crowd, the Arduino microcontroller has made its way into all levels of education, including physics labs. Perhaps the most compelling aspect of the Arduino in this regard is the ease with which it can be interfaced and acquire data from a sensor, using any one of its many analog inputs, SPI or…
Descriptors: Science Instruction, Physics, Science Laboratories, Equipment
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Botelho, Anthony F.; Baker, Ryan S.; Ocumpaugh, Jaclyn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Student affect has been found to correlate with short- and long-term learning outcomes, including college attendance as well as interest and involvement in Science, Technology, Engineering, and Mathematics (STEM) careers. However, there still remain significant questions about the processes by which affect shifts and develops during the learning…
Descriptors: Psychological Patterns, Time, Computer Assisted Instruction, Affective Behavior
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Prestowitz, Luke C. O.; Emery, Jonathan D.; Huang, Jiaxing – Journal of Chemical Education, 2021
Writing instruments, such as pens, are ubiquitous in the classroom, but their functionality is largely for one purpose: they are used to represent ideas and record information on paper. However, by replacing the conventional ink in a pen with easy-to-synthesize conducting polymer-based inks, it is possible to change a simple writing utensil into a…
Descriptors: Chemistry, Hands on Science, High School Students, Undergraduate Students
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Yu, Chih-Hung; Wang, Jye-Shyan; Wu, Cheng-Chih – International Association for Development of the Information Society, 2017
This study utilized sensors to investigate how females and males might perform and reflect differently on their tennis skills in a beginner class. A quasi-experimental design was conducted in this study to investigate the learning outcome of using tennis sensors. Two classes of students enrolled in a college physical education course participated…
Descriptors: Gender Differences, Measurement Equipment, Exercise Physiology, Racquet Sports
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Yuko Suzuki; Fridolin Wild; Eileen Scanlon – Journal of Computer Assisted Learning, 2024
Background: Cognitive load during AR use has been measured conventionally by performance tests and subjective rating. With the growing interest in physiological measurement using non-invasive biometric sensors, unbiased real-time detection of cognitive load in AR is expected. However, a range of sensors and parameters are used in various subject…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Physiology
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Sharples, Mike; Aristeidou, Maria; Villasclaras-Fernández, Eloy; Herodotou, Christothea; Scanlon, Eileen – International Journal of Mobile and Blended Learning, 2017
The authors describe the design and formative evaluation of a sensor toolkit for Android smartphones and tablets that supports inquiry-based science learning. The Sense-it app enables a user to access all the motion, environmental and position sensors available on a device, linking these to a website for shared crowd-sourced investigations. The…
Descriptors: Computer Oriented Programs, Handheld Devices, Active Learning, Inquiry
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Shanahan, Murray – Cognitive Science, 2005
This article presents a formal theory of robot perception as a form of abduction. The theory pins down the process whereby low-level sensor data is transformed into a symbolic representation of the external world, drawing together aspects such as incompleteness, top-down information flow, active perception, attention, and sensor fusion in a…
Descriptors: Robotics, Attention, Theories, Motion
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Dafoulas, Georgios A.; Maia, Cristiano Cardoso; Clarke, Jerome Samuels; Ali, Almaas; Augusto, Juan – International Association for Development of the Information Society, 2018
This paper provides a detailed description of how a smart spaces laboratory has been used for assessing learners' performance in various educational contexts. The paper shares the authors' experiences from using sensor-generated data in a number of learning scenarios. In particular the paper describes how a smart learning environment is created…
Descriptors: Technological Advancement, Measurement Techniques, Physiology, Emotional Response
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Francisti, Jan; Balogh, Zoltán; Turcáni, Milan – International Baltic Symposium on Science and Technology Education, 2023
Today's trend is the use of information technology in all areas of our lives. Emotions are a basic human characteristic, although they are difficult to define, recognise and classify. Proper assessment and recognition of human emotions can lead to a better understanding of user behaviour. The aforementioned technologies can also be used as a…
Descriptors: Internet, Equipment, Information Technology, Telecommunications
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Ya-Ting Yu; Mengping Tsuei – Interactive Learning Environments, 2023
This quasi-experimental study examined the effects of digital game-based learning (DGBL) on elementary-school students' Chinese language learning, self-efficacy and attention. In total, 126 fourth-graders participated in the study for 6 weeks. Two digital games with different mechanisms (completion-contingent and performance-contingent rewards)…
Descriptors: Game Based Learning, Learner Engagement, Attention Control, Self Efficacy
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