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Foundations and Trends in Smart Learning

Part of the Lecture Notes in Educational Technology Book Series

Editors: Chang, Maiga; Popescu, Elvira; Kinshuk,; Chen, Nian-Shing; Jemni, Mohamed; Huang, Ronghuai; Spector, J. Michael; Sampson, Demetrios G.

DOI: 10.1007/978-981-13-6908-7

ISBN: 978-981-13-6907-0

Publisher: Springer Singapore - Springer Journals

Mar 15, 2019

1 - 10 of 28 Chapters

LitStream

Chapter 1A framework for designing an immersive language learning environment integrated with educational robots and IoT-based toys

Cheng, Ya-Wen; Wang, Yuping; Kinshuk,; Chen, Nian-Shing

Pages: 1 –4

[In view of the benefits of and success in acquiring multiple languages in an immersive learning environment while young, this research aims to create an immersive language learning environment for young children to acquire multiple languages utilizing robots and IoT (Internet of Things) -based...
LitStream

Chapter 2A Framework of Learning Activity Design for Flow Experience in Smart Learning Environment

Gao, Bojun; Wan, QingQing; Chang, TingWen; Huang, Ronghuai

Pages: 5 –14

[With the progress of technology, the smart learning environment focusing on technology enhanced learning has been concerned by more and more researchers. By combining the key elements of smart learning environment with flow theory, this study proposed a framework of learning activity design that...
LitStream

Chapter 3A Partner Robot for Decreasing Negative Concerns in Collaborative Reading

Adachi, Yoshihiro; Kashihara, Akihiro

Pages: 15 –24

[Collaborative reading in English is instructive for second language learners to improve their communication skills. However, it is not easy for Japanese learners to read English sentences in collaboration with a partner due to their embarrassment and uncomfortableness. In this work, we propose a...
LitStream

Chapter 4An Architecture for Mobile-based Assessment Systems in Smart Learning Environments

Bacca, Jorge; Kinshuk,; Segovia-Bedoya, Daniel

Pages: 25 –34

[Assessment is a fundamental part of the learning process and therefore a key aspect in smart learning environments. Despite the existence of some architectures and frameworks for supporting assessment with mobile technologies, there is still a need of more research on how these systems should be...
LitStream

Chapter 5Analysis of Key Features in Conclusions of Student Reports

López-López, Aurelio; González-López, Samuel; García-Gorrostieta, Jesús Miguel

Pages: 35 –44

[This work seeks to help students in improving their first research reports, based on natural language processing techniques. We present a Conclusion model that includes three schemes: Goal Connectedness, Judgment and Speculation. These subsystems try to account for the main expected features in...
LitStream

Chapter 6Artificial Intelligence and Commonsense

Osborne, Mark

Pages: 45 –50

[The use and development of artificial intelligence (AI) capabilities in a company’s production environment is critical to improving assembly process times and product quality. Manufacturing processes are complex and require highly skilled operators to build quality products. Production processes...
LitStream

Chapter 7Can Fragmentation Learning Promote Students’ Deep Learning in C Programming?

Zhang, Lifeng; Li, Baoping; Zhou, Ying; Chen, Ling

Pages: 51 –60

[In order to reduce students’ difficulties in programming learning, this study developed a mobile platform called Dquiz with the advantage of distributed effects, which can provide 2-3 multiple-choice questions per day. The study applied it to C programming courses and explored whether the system...
LitStream

Chapter 8Challenges in recruiting and retaining participants for smart learning environment studies

Guillot, Isabelle; Guillot, Claudia; Guillot, Rébecca; Seanosky, Jérémie; Boulanger, David; Fraser, Shawn N.; Kumar, Vivekanandan; Kinshuk,

Pages: 61 –66

[Conducting studies to assess the efficiency of smart learning environments, including learning analytics tools, is essential to the success of this emerging field. Recruiting and retaining research participants is fundamental to obtaining meaningful results from such studies, and yet, this...
LitStream

Chapter 9Constructing a Hybrid Automatic Q&A System Integrating Knowledge Graph and Information Retrieval Technologies

Liu, Yang; Xu, Bin; Yang, Yuji; Chung, Tonglee; Zhang, Peng

Pages: 67 –76

[Question-answering (QA) system provides a friendly way for human-computer interaction, which has become an important research direction of smart learning. It provides an easy and individual way for the learner to acquire knowledge. This paper focuses on K-12 education and constructs a hybrid...
LitStream

Chapter 10Conversation Quest in MEGA World (Multiplayer Educational Game for All)

Chang, Maiga; Chen, Cheng-Ting; Wu, Kuan-Hsing; Yu, Pei-Shan

Pages: 77 –82

[The research team has developed a web-based massively multiplayer educational game platform named MEGA World. It allows teachers to create their own virtual worlds and to design a series of learning and assessment activities (i.e., quests and quest chain in a commercial game) for their students....

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