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Autonomous Language Learning with Technology
This book looks beyond the classroom, and focuses on out-of-class autonomous use of technology for language learning, discussing the theoretical frameworks, key findings and critical issues. The proliferation of digital language learning resources and tools is forcing language education into an era of unprecedented change. The book will stimulate discussions on how to support language learners to construct quality autonomous technology-mediated out-of-class learning experience outside the classroom and raise greater awareness of and research interest in this field. Out-of-class learning constitutes an important context for human development, and active engagement in out-of-class activities is associated with successful language development. With convenient access to expanded resources, venues and learning spaces, today’s learners are not as dependent on in-class learning as they used to be. Thus, a deeper understanding of the terrain of out-of-class learning is of increasing significance in the current educational era. Technology is part and parcel of out-of-class language learning, and has been a primary source that learners actively use to construct language learning experience beyond the classroom. Language learners of all ages around the world have been found to actively utilize technological resources to support their language learning beyond formal language learning contexts. Insights into learners’ out-of-class autonomous use of technology for language learning are essential to our understanding of out-of-class learning and inform educators on how language learners could be better supported to maximize the educational potentials of technology to construct quality out-of-class learning experience.
eBook
Social Presence in Online Learning
Published in Association with 2020 AECT Division of Distance Learning Book AwardSocial presence continues to emerge as a key factor for successful online and blended learning experiences. It is commonly described as the degree to which online participants feel connected to one another. Understanding social presencewith its critical connections to community-building, retention, and learning outcomesallows faculty and instructional designers to better support and engage students. This volume, Social Presence in Online Learning, addresses the evolution of social presence with three distinct perspectives, outlines the relevant research, and focuses on practical strategies that can immediately impact the teaching and learning experience. These strategies include creating connections to build community, applying content to authentic situations, integrating a careful mix of tools and media, leveraging reflective and interactive opportunities, providing early and continuous feedback, designing with assessment in mind, and encouraging change in small increments. Because student satisfaction and motivation plays a key role in retention rates and because increased social presence often leads to enriched learning experiences, it is advantageous to mindfully integrate social presence into learning environments.Social Presence in Online Learning brings together eminent scholars in the field to distinguish among three different perspectives of social presence and to address how these viewpoints immediately inform practice. This important volume: Provides an overview of the evolution of social presence, key findings from social presence research, and practical strategies that can improve the online and blended learning experience Differentiates three distinct perspectives on social presence and explains the ideas and models that inform these perspectives Explores specific ways in which social presence relates to course satisfaction, retention, and outcomes Offers practica
eBook
Shifting to Digital
Rely on Shifting to Digital to deliver clear and concise answers to all of your remote teaching questions. This comprehensive guide provides specific strategies for planning high-engagement instruction, handling technology, assessing collaboration and assignments, and more. You'll also gain access to a helpful list of digital tools, along with online-specific lessons and projects for various subjects. * Learn how to engage and manage multiple students online at one time. * Create effective lesson plans that incorporate synchronous and asynchronous instruction based on best-practice cooperative learning and project-based learning. * Gauge students' executive function and increase their self-direction--a crucial part of online learning. * Understand how to best teach and support English learners and students with special needs. * Plan communications for students, parents, and guardians that address technology procedures, expectations, and privacy. Contents: Introduction Chapter 1: Technology Chapter 2: Instructional Planning Chapter 3: Document Handling Chapter 4: Mindful Engagement Chapter 5: Positive Interaction and Social-Emotional Learning Chapter 6: Feedback Chapter 7: Assessment Chapter 8: Students With Special Needs Chapter 9: Communication With Parents and Guardians Epilogue Appendix: Distance Learning Lesson and Project Designs References and Resources Index
eBook
Providing Self-Led Mental Health Support Through an Artificial Intelligence–Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care
Digital mental health services are becoming increasingly valuable for addressing the global public health burden of mental ill-health. There is significant demand for scalable and effective web-based mental health services. Artificial intelligence (AI) has the potential to improve mental health through the deployment of chatbots. These chatbots can provide round-the-clock support and triage individuals who are reluctant to access traditional health care due to stigma. The aim of this viewpoint paper is to consider the feasibility of AI-powered platforms to support mental well-being. The Leora model is considered a model with the potential to provide mental health support. Leora is a conversational agent that uses AI to engage in conversations with users about their mental health and provide support for minimal-to-mild symptoms of anxiety and depression. The tool is designed to be accessible, personalized, and discreet, offering strategies for promoting well-being and acting as a web-based self-care coach. Across all AI-powered mental health services, there are several challenges in the ethical development and deployment of AI in mental health treatment, including trust and transparency, bias and health inequity, and the potential for negative consequences. To ensure the effective and ethical use of AI in mental health care, researchers must carefully consider these challenges and engage with key stakeholders to provide high-quality mental health support. Validation of the Leora platform through rigorous user testing will be the next step in ensuring the model is effective.
Journal Article
Video in the age of digital learning
\"Although video is now ubiquitous in education, its full potential is oftentimes not fully understood, nor is it used to utmost potential. This timely volume seeks to address this gap by providing educators and instructional designers with a comprehensive and in-depth understanding of video production processes and methods for designing effective instructional videos. From its discussion of the significance of digital learning and impact of instructional video to its unique focus on the best design and production techniques that make video an effective teaching tool, this book offers applicable and tested strategies for creating quality instructional video. The accompanying website, which allows readers to see sample videos and access additional online resources, underscores the book's practitioner focus\"--Page 4 of cover.
Book
Increasing Rigor in Online Health Surveys Through the Reduction of Fraudulent Data
Online surveys have become a key tool of modern health research, offering a fast, cost-effective, and convenient means of data collection. It enables researchers to access diverse populations, such as those underrepresented in traditional studies, and facilitates the collection of stigmatized or sensitive behaviors through greater anonymity. However, the ease of participation also introduces significant challenges, particularly around data integrity and rigor. As fraudulent responses—whether from bots, repeat responders, or individuals misrepresenting themselves—become more sophisticated and pervasive, ensuring the rigor of online surveys has never been more crucial. This article provides a comprehensive synthesis of practical strategies that help to increase the rigor of online surveys through the detection and removal of fraudulent data. Drawing on recent literature and case studies, we outline several options that address the full research cycle from predata collection strategies to validation post data collection. We emphasize the integration of automated screening techniques (eg, CAPTCHAs and honeypot questions) and attention checks (eg, trap questions) for purposeful survey design. Robust recruitment procedures (eg, concealed eligibility criteria and 2-stage screening) and a proper incentive or compensation structure can also help to deter fraudulent participation. We examine the merits and limitations of different sampling methodologies, including river sampling, online panels, and crowdsourcing platforms, offering guidance on how to select samples based on specific research objectives. Post data collection, we discuss metadata-based techniques to detect fraudulent data (eg, duplicate email or IP addresses, response time analysis), alongside methods to better screen for low-quality responses (eg, inconsistent response patterns and improbable qualitative responses). The escalating sophistication of fraud tactics, particularly with the growth of artificial intelligence (AI), demands that researchers continuously adapt and stay vigilant. We propose the use of dynamic protocols, combining multiple strategies into a multipronged approach that can better filter for fraudulent data and evolve depending on the type of responses received across the data collection process. However, there is still significant room for strategies to develop, and it should be a key focus for upcoming research. As online surveys become increasingly integral to health research, investing in robust strategies to screen for fraudulent data and increasing the rigor of studies is key to upholding scientific integrity.
Journal Article