Smart Learning Environments

1. Front Matter

   Pages i-xii

   PDF

2. Learning Analytics

   1. Front Matter

      Pages 1-1

      PDF

   2. Analyzing Learner Characteristics and Courses Based on Cognitive Abilities, Learning Styles, and Context

      • Moushir M. El-Bishouty, Ting-Wen Chang, Renan Lima, Mohamed B. Thaha, Kinshuk, Sabine Graf

      Pages 3-25

   3. An Approach to Measure Coding Competency Evolution

      • Vive Kumar, Kinshuk, Thamaraiselvi Somasundaram, Steve Harris, David Boulanger, Jeremie Seanosky et al.

      Pages 27-43

   4. Semantic Similarity-Enhanced Topic Models for Document Analysis

      • Yan Gao, Dunwei Wen

      Pages 45-56

   5. Social Context Analysis for Topic-Specific Expert Finding in Online Learning Communities

      • Yanyan Li, Shaoqian Ma, Ronghuai Huang

      Pages 57-74

3. Ambient Design

   1. Front Matter

      Pages 75-75

      PDF

   2. Context-Aware Geography Field Trip with EagleEye: Teachers’ First Experience

      • Morris S. Y. Jong

      Pages 77-93

   3. Note-Taking in Pupil’s Textbook: Features and Influence Factors

      • Guang Chen, Chaohua Gong, Ronghuai Huang

      Pages 95-110

   4. Effects of Clicker and Peer Discussion on Learning Performance in a Secondary Biology Course

      • Yongbin Hu, Ronghuai Huang

      Pages 111-125

4. Smart Pedagogy

   1. Front Matter

      Pages 127-127

      PDF

   2. Smart Learner Support Through Semi-automatic Feedback

      • Paul Libbrecht, Wolfgang Müller, Sandra Rebholz

      Pages 129-157

   3. Interactive Physical Games: Improving Balance in Older Adults

      • Wei-Chieh Fang, Feng-Ru Sheu, Yu-Lun Lin, Yun-Lin Lee, Nian-Shing Chen

      Pages 159-174

   4. Story-Based Virtual Experiment Environment

      • Ming-Xiang Fan, Rita Kuo, Maiga Chang, Jia-Sheng Heh

      Pages 175-198

   5. Development of Handheld Augmented Reality X-Ray for K-12 Settings

      • Marc Ericson C. Santos, Mitsuaki Terawaki, Takafumi Taketomi, Goshiro Yamamoto, Hirokazu Kato

      Pages 199-219

This book addresses main issues concerned with the future learning, learning and academic analytics, virtual world and smart user interface, and mobile learning. This book gathers the newest research results of smart learning environments from the aspects of learning, pedagogies, and technologies in learning. It examines the advances in technology development and changes in the field of education that has been affecting and reshaping the learning environment. Then, it proposes that under the changed technological situations, smart learning systems, no matter what platforms (i.e., personal computers, smart phones, and tablets) they are running at, should be aware of the preferences and needs that their users (i.e., the learners and teachers) have, be capable of providing their users with the most appropriate services, helps to enhance the users' learning experiences, and to make the learning efficient.

• Artificial Intelligence in Education
• Educational Data Mining
• Educational Technology
• Game-based Learning
• ICT in education
• Learning Analytics
• Learning Technology
• Mobile and Ubiquitous Learning
• Smart learning
• Virtual World

• Athabasca University, Edmonton, Canada

  Maiga Chang

• School of Educational Technology, Beijing Normal University, Beijing, China

  Yanyan Li

Policies and ethics