Smart Education and e-Learning 2018. Bakken, J., P., Uskov, V., L., & Penumatsa, A. Volume 99 , Springer International Publishing, 2019.
Smart Education and e-Learning 2018 [link]Website  abstract   bibtex   
Includes author index. This book gathers the contributions presented at the 4th International KES Conference on Smart Education and Smart e-Learning (KES-SEEL-17), which took place in Vilamoura, Algarve, Portugal, June 21?23, 2017. Smart education and smart e-Learning are emerging and rapidly growing areas. They represent the innovative integration of smart systems, technologies and objects, smart environments, smart pedagogy, smart learning and academic analytics, various branches of computer science and computer engineering, and state-of-the-art smart educational software and/or hardware systems. It contains a total of 48 peer-reviewed book chapters that are grouped into several parts: Part 1 ? Smart Pedagogy, Part 2 ? Smart e-Learning, Part 3 ? Systems and Technologies for Smart Education, Part 4 ? Smart Teaching, and Part 5 ? Smart Education: National Initiatives and Approaches. The book offers a valuable source of research data, information on best practices, and case studies for educators, researchers, Ph.D. students, administrators, and practitioners?and all those who are interested in innovative areas of smart education and smart e-Learning. Preface; Contents; Smart Pedagogy; Smart Pedagogy for Smart Universities; Abstract; 1 Introduction; 2 Project Goal and Objectives; 3 Innovative Teaching Strategies Analyzed; 3.1 Adaptive Teaching; 3.2 Learning Analytics; 3.3 Collaborative Learning; 3.4 Context-Based Learning; 3.5 Games-Based Learning (Gamification of Learning); 3.6 Flipped Classroom; 4 Research Outcome # 1: Pilot Testing of Smart Pedagogy; 5 Research Outcome # 2: Student Feedback Obtained; 6 Conclusions. Next Steps; References Information Channel Based Measure of Effectiveness of Computer-Assisted Assessment in Flipped ClassroomAbstract; 1 Introduction; 2 Evaluation of Correlation Between Formative Quizzes Taken and Exam Results; 3 Case Study: Electric Circuit Analysis Course; 4 Final Conclusions and Guidelines; References; Efforts for Upward Spirals Based on Both Teacher and Student Feedback on Smart Education; Abstract; 1 Introduction; 2 Feedback from Students on Smart Education; 3 Feedback from Teachers on Smart Education; 4 Conclusions and Future Steps; Acknowledgements; References Analysis of Students' Behaviors in Programming Exercises Using Deep LearningAbstract; 1 Introduction; 2 Related Work; 3 Analysis of Programming Behaviors; 4 Analysis by Machine Learning; 4.1 Estimation of Problem-Solving Time; 4.2 Analysis of Problem-Solving T…
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 year = {2019},
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 keywords = {Smart pedagogy,Learning analytics,Teaching strateg,smart pedagogy},
 pages = {15-27},
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 abstract = {Includes author index. This book gathers the contributions presented at the 4th International KES Conference on Smart Education and Smart e-Learning (KES-SEEL-17), which took place in Vilamoura, Algarve, Portugal, June 21?23, 2017. Smart education and smart e-Learning are emerging and rapidly growing areas. They represent the innovative integration of smart systems, technologies and objects, smart environments, smart pedagogy, smart learning and academic analytics, various branches of computer science and computer engineering, and state-of-the-art smart educational software and/or hardware systems. It contains a total of 48 peer-reviewed book chapters that are grouped into several parts: Part 1 ? Smart Pedagogy, Part 2 ? Smart e-Learning, Part 3 ? Systems and Technologies for Smart Education, Part 4 ? Smart Teaching, and Part 5 ? Smart Education: National Initiatives and Approaches. The book offers a valuable source of research data, information on best practices, and case studies for educators, researchers, Ph.D. students, administrators, and practitioners?and all those who are interested in innovative areas of smart education and smart e-Learning. Preface; Contents; Smart Pedagogy; Smart Pedagogy for Smart Universities; Abstract; 1 Introduction; 2 Project Goal and Objectives; 3 Innovative Teaching Strategies Analyzed; 3.1 Adaptive Teaching; 3.2 Learning Analytics; 3.3 Collaborative Learning; 3.4 Context-Based Learning; 3.5 Games-Based Learning (Gamification of Learning); 3.6 Flipped Classroom; 4 Research Outcome # 1: Pilot Testing of Smart Pedagogy; 5 Research Outcome # 2: Student Feedback Obtained; 6 Conclusions. Next Steps; References Information Channel Based Measure of Effectiveness of Computer-Assisted Assessment in Flipped ClassroomAbstract; 1 Introduction; 2 Evaluation of Correlation Between Formative Quizzes Taken and Exam Results; 3 Case Study: Electric Circuit Analysis Course; 4 Final Conclusions and Guidelines; References; Efforts for Upward Spirals Based on Both Teacher and Student Feedback on Smart Education; Abstract; 1 Introduction; 2 Feedback from Students on Smart Education; 3 Feedback from Teachers on Smart Education; 4 Conclusions and Future Steps; Acknowledgements; References Analysis of Students' Behaviors in Programming Exercises Using Deep LearningAbstract; 1 Introduction; 2 Related Work; 3 Analysis of Programming Behaviors; 4 Analysis by Machine Learning; 4.1 Estimation of Problem-Solving Time; 4.2 Analysis of Problem-Solving T…},
 bibtype = {book},
 author = {Bakken, Jeffrey P and Uskov, Vladimir L and Penumatsa, Archana}
}

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