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While online learning was an existing practice, the COVID-19 pandemic greatly accelerated its capabilities and forced educational organizations to swiftly introduce online learning for all units. Though schools will not always be faced with forced online learning, it is apparent that there are clear advantages and disadvantages to this teaching method, with its usage in the future cemented. As such, it is imperative that methods for measuring and assessing the effectiveness of online and blended learning are examined in order to improve outcomes and future practices. Measurement Methodologies to Assess the Effectiveness of Global Online Learning aims to assess the effectiveness of online teaching and learning in normal and pandemic situations by addressing challenges and opportunities of adoption of online platforms as well as effective learning strategies, investigating the best pedagogical practices in digital learning, questioning how to improve student motivation and performance, and managing and measuring academic workloads online. Covering a wide range of topics such as the future of education and digital literacy, it is ideal for teachers, instructional designers, curriculum developers, educational software developers, academics, researchers, and students.
This book constitutes the thoroughly refereed proceedings of the First International Conference on Brain Function Assessment in Learning, BFAL 2017, held in Patras, Greece, in September 2017. The 16 revised full papers presented together with 2 invited talks and 6 posters were carefully selected from 28 submissions. The BFAL conference aims to regroup research in multidisciplinary domains such as neuroscience, health, computer science, artificial intelligence, human-computer interaction, education and social interaction on the theme of Brain Function Assessment in Learning.
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
How to utilize digital technology to engage learners in deep learning is an issue that warrants significant attention in 21st century education. Deep learning refers to learners engagement in critical and creative thinking, making inferences and transferring knowledge. Modern technologies like virtual reality, artificial intelligence, and 3D visualization provide the platform for deep learning in an educational setting more effectively. This book presents a collection of essays on the relationship between digital technologies and deep learning. The edited volume focuses on cognitive, metacognitive and affective processes in digital technology-based deep learning. A unique feature of the book is its emphasis on bridging the theories with practice where the practice of deep learning with digital technology is well-grounded in relevant theories and theoretical frameworks. Moreover, the book includes case studies to effectively promote the application of digital technology in deep learning. As such, the book is rightly poised to address current issues facing deep learning and digital technology in education. The audience will find this book a useful companion as they will soon discover that this book provides helpful information on both theoretical and practical aspects in deep learning with digital technology. It also serves as an excellent resource for researchers and individual professionals who seek to understand the relationship between deep learning and digital technology in education.
Emotions, Technology, and Digital Games explores the need for people to experience enjoyment, excitement, anxiety, anger, frustration, and many other emotions. The book provides essential information on why it is necessary to have a greater understanding of the power these emotions have on players, and how they affect players during, and after, a game. This book takes this understanding and shows how it can be used in practical ways, including the design of video games for teaching and learning, creating tools to measure social and emotional development of children, determining how empathy-related thought processes affect ethical decision-making, and examining how the fictional world of game play can influence and shape real-life experiences. - Details how games affect emotions—both during and after play - Describes how we can manage a player's affective reactions - Applies the emotional affect to making games more immersive - Examines game-based learning and education - Identifies which components of online games support socio-emotional development - Discusses the impact of game-based emotions beyond the context of games
Informed by psychology and neuroscience, Cavanagh argues that in order to capture students' attention, harness their working memory, bolster their long-term retention, and enhance their motivation, educators should consider the emotional impact of their teaching style and course design.
Emotions, Technology, Design, and Learning provides an update to the topic of emotional responses and how technology can alter what is being learned and how the content is learned. The design of that technology is inherently linked to those emotional responses. This text addresses emotional design and pedagogical agents, and the emotions they generate. Topics include design features such as emoticons, speech recognition, virtual avatars, robotics, and adaptive computer technologies, all as relating to the emotional responses from virtual learning. - Addresses the emotional design specific to agent-based learning environments - Discusses the use of emoticons in online learning, providing an historical overview of animated pedagogical agents - Includes evidence-based insights on how to properly use agents in virtual learning environments - Focuses on the development of a proper architecture to be able to have and express emotions - Reviews the literature in the field of advanced agent-based learning environments - Explores how educational robotic activities can divert students' emotions from internal to external
This book provides an overview of the state-of-the art of psychological research on learning and knowledge exchange with digital media, based on a comprehensive research program that was realized at the Leibniz-Institut für Wissensmedien(IWM) during the last decade. The dramatic rise of new tools and technologies, including both hardware devices like smartphones, tablets, multitouch-tables, or stereoscopic screens as well as software environments like Google, Wikipedia, Facebook, Twitter or MOOCs – has fundamentally reshaped teaching, learning, and knowledge exchange. The authors describe an area of digital learning in light of these recent technological developments, specify the relevant theoretical approaches, summarize the main research results from the lab, and discuss their theoretical and practical implications.
Bridging the gap between higher education research and policy making was always a challenge, but the recent calls for more evidence-based policies have opened a window of unprecedented opportunity for researchers to bring more contributions to shaping the future of the European Higher Education Area (EHEA). Encouraged by the success of the 2011 first edition, Romania and Armenia have organised a 2nd edition of the Future of Higher Education – Bologna Process Researchers’ Conference (FOHE-BPRC) in November 2014, with the support of the Italian Presidency of the European Union and as part of the official EHEA agenda. Reuniting over 170 researchers from more than 30 countries, the event was a forum to debate the trends and challenges faced by higher education today and look at the future of European cooperation in higher education. The research volumes offer unique insights regarding the state of affairs of European higher education and research, as well as forward-looking policy proposals. More than 50 articles focus on essential themes in higher education: Internationalization of higher education; Financing and governance; Excellence and the diversification of missions; Teaching, learning and student engagement; Equity and the social dimension of higher education; Education, research and innovation; Quality assurance, The impacts of the Bologna Process on the EHEA and beyond and Evidence-based policies in higher education. "The Bologna process was launched at a time of great optimism about the future of the European project – to which, of course, the reform of higher education across the continent has made a major contribution. Today, for the present, that optimism has faded as economic troubles have accumulated in the Euro-zone, political tensions have been increased on issues such as immigration and armed conflict has broken out in Ukraine. There is clearly a risk that, against this troubled background, the Bologna process itself may falter. There are already signs that it has been downgraded in some countries with evidence of political withdrawal. All the more reason for the voice of higher education researchers to be heard. Since the first conference they have established themselves as powerful stakeholders in the development of the EHEA, who are helping to maintain the momentum of the Bologna process. Their pivotal role has been strengthened by the second Bucharest conference." Peter Scott, Institute of Education, London (General Rapporteur of the FOHE-BPRC first edition)