This book gathers the proceedings of the 9th International Conference on Computational Science and Technology (ICCST 2022), held in Johor Bahru, Malaysia, on August 27–28, 2022. The respective contributions offer practitioners and researchers a range of new computational techniques and solutions, identify emerging issues, and outline future research directions, while also showing them how to apply the latest large-scale, high-performance computational methods.
This book constitutes the refereed post-conference proceedings of the 11th IFIP TC 3 World Conference on Computers in Education, WCCE 2017, held in Dublin, Ireland, in July 2017. The 57 revised full papers and 10 short papers were carefully reviewed and selected from 116 submissions during two rounds of reviewing and improvement. The papers are organized in the following topical sections: futures of technology for learning and education; innovative practices with learning technologies; and computer science education and its future focus and development. Also included is "The Dublin Declaration" which identifies key aspects of innovation, development successes, concerns and interests in relation to ICT and education.
The book highlights several challenges and opportunities in the field of software engineering for serious games. It covers a wide range of topics from game design principles to software architecture, testing, and deployment and is structured into two parts. While Part I delves into various aspects of designing, maintaining, adapting, and evaluating games in serious contexts; Part II focuses on the experiences of realizing and using games in serious contexts. One of the primary challenges is to develop effective methods for evaluating serious games and measuring their impact and outcomes. Another challenge is to design serious games that are both engaging and effective, which requires a deep understanding of game design principles and instructional design. The book also emphasizes the need to develop effective software engineering practices for serious game development and the importance of gamification in improving user engagement and motivation. The potential of serious games for addressing societal challenges such as cybersecurity and healthcare is also highlighted. Despite these challenges, the book also identifies several opportunities for the field, including the potential of serious games to provide new and innovative approaches to learning and the potential of serious games to address real-world problems in new and effective ways. This book is intended for software engineers, game developers, educators, and anyone interested in how games in serious contexts can be effectively created. Overall, the chapters in the book provide a valuable snapshot of the current state of the field and offer insights into where it may be headed in the future.
Computer science is increasingly becoming an essential 21st century skill. As school systems around the world recognize the importance of computer science, demand for teachers who have the knowledge and skills to deliver computer science instruction is rapidly growing. Yet a number of recent studies indicate that teachers report low confidence and limited understanding of computer science, frequently confusing basic computer literacy skills with computer science. This is true for both teachers at the K-8 level as well as secondary education teachers who frequently transition to computer science from other content areas, such as mathematics. As computer science is not yet included in most teacher preparation programs, professional development is a critical step in efforts to prepare in-service teachers to deliver high-quality computer science instruction. To date, however, research on best practices in computer science professional development has been severely lacking in the literature, making it difficult for researchers and practitioners alike to examine effective in-service preparation models. This book provide examples of professional development approaches that help teachers integrate aspects of computing in existing curricula at the K-8 level or deliver stand-alone computer science courses at the secondary school level. Further, this book identifies computational competencies for teachers, promising pedagogical strategies that advance teacher learning, as well as alternative pathways for ongoing learning including microcredentials. The primary audience of the book is graduate students and faculty in educational technology, educational or cognitive psychology, learning theory, curriculum and instruction, computer science, instructional systems and learning sciences. Additionally, the book will serve as a valuable addition to education practitioners and curriculum developers as well as policy makers looking to increase the number of teachers who are prepared to deliver computing education.
Teaching to Individual Differences in Science and Engineering Librarianship: Adapting Library Instruction to Learning Styles and Personality Characteristics applies learning styles and personality characteristics to science and engineering library instruction. After introducing the idea that individuals tend to choose college majors and occupations in alignment with their learning style and personality characteristics, the book presents background on the Kolb Learning Styles model, the 16 PF (Personality Factor) framework, and the Big Five/Narrow Traits personality framework. It then reviews extant knowledge on the learning styles and personality characteristics of scientists, engineers and librarians. Next, the book considers general approaches to the personalization of instruction to learning styles and personality characteristics, opportunities for such personalization in science and engineering library instruction, and science and engineering librarian attitudes towards, and approaches to, this type of personalization of instruction. - Best Publication Award - ASEE Engineering Library Division - Considers teaching and individual differences within science and engineering librarianship - Offers a balanced and critical account of the adaptation of library instruction to learning styles and personality characteristics - Cites the dynamic instruction/adaptive teaching literature - Discusses opportunities and suggestions for incorporating personalization into science and engineering library instruction
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Second International Conference on Soft Computing and Signal Processing (ICSCSP 2019). The respective contributions address topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, and discuss various aspects of these topics, e.g. technological considerations, product implementation, and application issues.
