Traditionally understood as an ancient teaching method conceived by the philosopher Socrates, scholars in education have boldly explored the definitions, philosophical underpinnings, assumptions, and uses of Socratic dialogue in various learning situations and educational settings. Despite its ancient origins, the Socratic Method has an impact on contemporary leadership, critical thinking skills, e-learning, adult education, and social-emotional learning. Enhancing Teaching and Learning With Socratic Educational Strategies: Emerging Research and Opportunities presents scholarly work, philosophical investigations, educational claims, and the latest empirical research on the process and outcome of the Socratic Method in educational contexts. It delves deeply into the instructional strategy uncovering its practical impact in educational contexts and its philosophical and societal consequences in the modern world. Covering topics such as female voice, maieutic instruction, and teacher preparation, this book is an essential resource for philosophers, educational administration, educators, researchers, pre-service teachers, academicians, and government programs.

"This book presents scholarly work, philosophical investigations, educational claims, and the latest empirical research on the process and outcomes of the Socratic Method in educational contexts"--

The surge in enrollment for online courses is continually increasing. However, beneath the convenience lies a challenge that demands a resolution. Educators, administrators, and instructional designers must ensure that the human element is not lost in the virtual corridors of learning. Students with diverse backgrounds and learning needs require more than a simple virtual classroom. Research reveals a concerning trend: high attrition rates in online courses, often attributed to a lack of engagement and insufficient human interaction. To reverse this trend, deliberate measures must be taken to humanize the online learning environment. This book provides several solutions, offering an array of tools and strategies to promote engagement and infuse the human touch into online spaces. To confront this multi-layered challenge, it becomes paramount to undertake deliberate measures aimed at humanizing the online learning environment. Humanizing Online Teaching and Learning in Higher Education steps forward as a guide, offering an extensive array of tools and strategies meticulously crafted to foster student engagement and infuse the essential human touch into the digital educational landscape.

This book is a resource for both prospective and practicing elementary teachers as they learn to teach science in ways which foster the development of a community of science learners with multiple perspectives and diverse approaches to problem solving. It includes cases that feature dilemmas embedded in rich narrative stories which characterize the lives of teachers of science, and by extension their students, and serve as tools for discussion, critique, and reflective practice. The introduction to the book explores changing contexts for elementary science teaching and learning, and describes how case-based pedagogy can be used as a tool for both instruction and research. Each subsequent section of the book includes cases that are organized around topics such as contemporary approaches to teaching elementary science, new roles for technology, and the creation of inclusive learning environments for all students in elementary science. Each case is followed by reflective commentaries and concludes with questions for reflection and discussion. Teachers will benefit from these cases as they explore the complexities and ambiguities of elementary science teaching and learning in today’s classrooms.

Teaching content and measuring content are frequently considered separate entities when designing teaching instruction. This can create a disconnect between how students are taught and how well they succeed when it comes time for assessment. To heal this rift, the theory of meaningful learning is a potential solution for designing effective teaching-learning and assessment materials. Design and Measurement Strategies for Meaningful Learning considers the best practices, challenges, and opportunities of instructional design as well as the theory and impact of meaningful learning. It provides educators with an essential text instructing them on how to successfully design and measure the content they teach. Covering a wide range of topics such as blended learning, online interaction, and learning assessment, this reference work is ideal for teachers, instructional designers, curriculum developers, policymakers, administrators, academicians, researchers, practitioners, and students.

Even though digital technologies are ubiquitous in education, assessment methods continue to employ traditional assessments even though they are inadequate to provide information about a student's reasoning and conceptual understanding. Digital-based assessment models allow students to demonstrate higher-order skills while integrating digital technologies as a powerful teaching tool. Digital technologies can support inquiry-based learning that is essential to developing a deep conceptual understanding of the content. The Handbook of Research on Digital-Based Assessment and Innovative Practices in Education identifies digital tools and applications for effective assessment of learning, shares various models of digital-based assessment in education, and considers best pedagogical practices for assessment in education. Covering a range of topics such as formative assessments, design thinking, virtual reality, and equity, this major reference work is crucial for educational technologists, instructional designers, policymakers, administrators, faculty, researchers, academicians, scholars, practitioners, instructors, and students.

Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era’s current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated—or traditional—learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline.

This book constitutes the refereed conference proceedings of the 21st International Conference on Web-Based Learning, ICWL 2022 and 7th International Symposium on Emerging Technologies for Education, SETE 2022, held in Tenerife, Spain in November 21–23, 2022. The 45 full papers and 5 short papers included in this book were carefully reviewed and selected from 82 submissions. The topics proposed in the ICWL&SETE Call for Papers included several relevant issues, ranging from Semantic Web for E-Learning, through Learning Analytics, Computer-Supported Collaborative Learning, Assessment, Pedagogical Issues, E-learning Platforms, and Tools, to Mobile Learning. In addition to regular papers, ICWL&SETE 2022 also featured a set of special workshops and tracks: The 5th International Workshop on Educational Technology for Language Learning (ETLL 2022), The 6th International Symposium on User Modeling and Language Learning (UMLL 2022), Digitalization in Language and Cross-Cultural Education, First Workshop on Hardware and software systems as enablers for lifelong learning (HASSELL).

The COVID-19 pandemic created a ripple effect that impacted education worldwide, felt from Pre-K through higher education. In response to the pandemic, teachers, parents, and students shifted to teaching and learning online to adjust to the affordances found in digital spaces. However, challenges quickly arose, and it was found that research was sorely needed on adapting learning to these digital spaces, including addressing issues with equitable access to technological tools, meeting the social emotional needs of all learners, and developing appropriate teaching strategies for young children in online spaces. Situating our understanding of emerging research in this area of remote teaching and learning in Pre-K through higher education is critical as we look to build upon evidence-based practices to better support 21st-century educators and learners. Cases on Practical Applications for Remote, Hybrid, and Hyflex Teaching presents emerging case studies on the impacts of the COVID-19 pandemic and reports and responds to early evidence of these impacts and the predicted future impacts for students, families, teachers, policymakers, and higher education. Building on knowledge of how teaching and learning in digital spaces work, the literature presented in this book captures preliminary findings and emerging research examining how educators leverage teaching and learning across platforms and modalities and shares stories on how educators, families, and communities responded to the challenges of teaching and learning online to ensure all students were engaged and fully supported while learning remotely and as they transitioned back to the classroom. Covering topics such as pedagogies, remote teaching, and parental responses, it is ideal for teachers, academicians, preservice teachers, professors, researchers, community education providers, and students.

Advanced Virtual Assistants (AVAs) are computer programs that use artificial intelligence (AI) to perform various tasks for human users. These AI-powered assistants can help with multiple activities, including scheduling appointments, answering questions, managing email and social media, and even performing complex calculations. They can be accessed through various platforms, including smartphones, smart speakers, and other digital devices. AVAs utilize natural language processing (NLP) and machine learning algorithms to understand human language and improve their responses over time. As these technologies advance, virtual assistants are becoming increasingly sophisticated and capable of handling more complex tasks. As a result, they are transforming how we interact with technology and providing users with more efficient and personalized experiences. This book is a helpful reference for scientists and industrial experts interested in AVAs' current and future capabilities.