An examination of Everett M. Rogers’s (1995) Theory of the Diffusion of Innovations suggests that there is a positive relationship among students’ attitudes, perceptions, and expectations toward instructional technology in relation to the diffusion of innovations. Furthermore, the evidence shows that there is a very high correlation between acceptance of diffusion and students’ attitudes, acceptance of diffusion and students’ perceptions, and acceptance of diffusion and students’ expectations toward instructional technology. The relative advantage of an innovation can be influenced by social prestige, convenience, and satisfaction with an innovation.

Artificial Intelligence in Education conference 2009 (AIED) is part of a series of biennial international conferences for top quality research in intelligent systems and cognitive science for educational computing applications. This title covers papers presented at the Artificial Intelligence in Education conference 2009 (AIED).

This book contains papers in the fields of engineering pedagogy education, public–private partnership and entrepreneurship education, research in engineering pedagogy, evaluation and outcomes assessment, Internet of Things & online laboratories, IT & knowledge management in education and real-world experiences. We are currently witnessing a significant transformation in the development of education and especially post-secondary education. To face these challenges, higher education has to find innovative ways to quickly respond to these new needs. There is also pressure by the new situation in regard to the Covid pandemic. These were the aims connected with the 23rd International Conference on Interactive Collaborative Learning (ICL2020), which was held online by University of Technology Tallinn, Estonia from 23 to 25 September 2020. Since its beginning in 1998, this conference is devoted to new approaches in learning with a focus on collaborative learning. Nowadays the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in Learning and Engineering Pedagogy. In this way, we try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, learning industry, further and continuing education lecturers, etc.

This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.

Educators, are you ready to meet the challenge of cultivating the next generation of engineers in a post-COVID-19 context? Current engineering student cohorts are unique to their predecessors: they are more diverse and have experienced unprecedented disruption to their education due to the COVID-19 pandemic. They will also play a more significant role in contributing to global sustainability efforts. Innovating engineering education is of vital importance for preparing students to confront society’s most significant sustainability issues: our future depends on it. Advancing Engineering Education Beyond COVID: A Guide for Educators offers invaluable insights on topics such as implementing active-learning activities in hybrid modes; developing effective and engaging online resources; creating psychologically safe learning environments that support academic achievement and mental health; and embedding sustainability within engineering education. Students’ own perspectives of online learning are also incorporated, with the inclusion of a chapter authored by undergraduate engineering students. This book consolidates the expertise of leading authorities within engineering education, providing an essential resource for educators responsible for shaping the next generation of engineers in a post-COVID-19 world.

This book addresses the importance of human factors in optimizing the learning and training process. It reports on the latest research and best practices, and discusses key principles of behavioral and cognitive science, which are extremely relevant to the design of instructional content and new technologies to support mobile and multimedia learning, virtual training and web-based learning, among others, as well as performance measurements, social and adaptive learning and many other types of educational technology, with a special emphasis on those important in the corporate, higher education, healthcare and military training contexts. Gathering contributions to the AHFE 2020 Virtual Conference on Human Factors in Training, Education, and Learning Sciences, held on July 16–20, 2020, the book offers a timely perspective on the role of human factors in education. It highlights important new approaches and ideas, and fosters new discussions on how to optimally design learning experiences.