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Article

ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation

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Department of Electrical Engineering, National Taiwan Ocean University, Keelung City 202, Taiwan
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Institute of Food Safety and Risk Management, National Taiwan Ocean University, Keelung City 202, Taiwan
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Center of Excellence for Ocean Engineering, National Taiwan Ocean University, Keelung City 202, Taiwan
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Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung City 202, Taiwan
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Department of Information Management, Southern Taiwan University of Science and Technology, Tainan 710, Taiwan
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Department of Electrical Engineering, National Taipei University of Technology, Taipei 106, Taiwan
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Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 106, Taiwan
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Authors to whom correspondence should be addressed.
Sustainability 2020, 12(14), 5605; https://0-doi-org.brum.beds.ac.uk/10.3390/su12145605
Received: 3 March 2020 / Revised: 12 June 2020 / Accepted: 17 June 2020 / Published: 12 July 2020
(This article belongs to the Special Issue Big Data for Sustainable Anticipatory Computing)
Under the vigorous development of global anticipatory computing in recent years, there have been numerous applications of artificial intelligence (AI) in people’s daily lives. Learning analytics of big data can assist students, teachers, and school administrators to gain new knowledge and estimate learning information; in turn, the enhanced education contributes to the rapid development of science and technology. Education is sustainable life learning, as well as the most important promoter of science and technology worldwide. In recent years, a large number of anticipatory computing applications based on AI have promoted the training professional AI talent. As a result, this study aims to design a set of interactive robot-assisted teaching for classroom setting to help students overcoming academic difficulties. Teachers, students, and robots in the classroom can interact with each other through the ARCS motivation model in programming. The proposed method can help students to develop the motivation, relevance, and confidence in learning, thus enhancing their learning effectiveness. The robot, like a teaching assistant, can help students solving problems in the classroom by answering questions and evaluating students’ answers in natural and responsive interactions. The natural interactive responses of the robot are achieved through the use of a database of emotional big data (Google facial expression comparison dataset). The robot is loaded with an emotion recognition system to assess the moods of the students through their expressions and sounds, and then offer corresponding emotional responses. The robot is able to communicate naturally with the students, thereby attracting their attention, triggering their learning motivation, and improving their learning effectiveness. View Full-Text
Keywords: sustainable learning; robot-assisted teaching; ARCS model; anticipatory computing; artificial intelligence; emotional big data sustainable learning; robot-assisted teaching; ARCS model; anticipatory computing; artificial intelligence; emotional big data
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MDPI and ACS Style

Hsieh, Y.-Z.; Lin, S.-S.; Luo, Y.-C.; Jeng, Y.-L.; Tan, S.-W.; Chen, C.-R.; Chiang, P.-Y. ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation. Sustainability 2020, 12, 5605. https://0-doi-org.brum.beds.ac.uk/10.3390/su12145605

AMA Style

Hsieh Y-Z, Lin S-S, Luo Y-C, Jeng Y-L, Tan S-W, Chen C-R, Chiang P-Y. ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation. Sustainability. 2020; 12(14):5605. https://0-doi-org.brum.beds.ac.uk/10.3390/su12145605

Chicago/Turabian Style

Hsieh, Yi-Zeng, Shih-Syun Lin, Yu-Cin Luo, Yu-Lin Jeng, Shih-Wei Tan, Chao-Rong Chen, and Pei-Ying Chiang. 2020. "ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation" Sustainability 12, no. 14: 5605. https://0-doi-org.brum.beds.ac.uk/10.3390/su12145605

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