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This reference addresses the transformative landscape of education through the lens of modern technologies. It imparts a comprehensive overview of the challenges, opportunities, and future visions in education by covering the dynamic intersection of e-learning, virtual teaching, and cutting-edge technologies. The book includes an extensive spectrum of 14 topics commencing with a basic study on E-learning and teaching in the new millennium. Next, the work explores substantial topics such as the challenges and opportunities of virtual learning, the impact of the National Education Policy 2020, the role of Virtual Learning in bridging gender gaps, and the benefits and challenges for differently-abled students. Contributors also discuss new developments in education including the integration of ICT in mechanical engineering, the use of AR and VR to virtualize academic activities, and blockchain technology in education. The last two chapters explore the applications, challenges, and possibilities of machine learning and data analytics in the context of m-Health and the impact analysis of online education development. Key features of the reference are: a simplified exploration of the cutting-edge technologies that are reshaping the educational environment, a forward-looking view of the future of education, and practical insights into the drawbacks and advantages of virtual learning. Readers will get a broad perspective of information on virtual education technology with references and case studies that provide a holistic view of modern educational structures. This book is tailored for educators, researchers and anyone working in the field of education and technology who are looking for a thorough understanding of the transformative prospects of virtual lifelong learning and its implications for building an inclusive society and learning environment. Readership Educators, Researchers, online tutors and general readers.

Part of the groundbreaking Connecting with e-Learning series, A Guide to Authentic e-Learning provides effective, working examples to engage learners with authentic tasks in online settings. As technology continues to open up possibilities for innovative and effective teaching and learning opportunities, students and teachers are no longer content to accept familiar classroom or lecture-based pedagogies that rely on information delivery and little else. Situated and constructivist theories advocate that learning is best achieved in circumstances resembling the real-life application of knowledge. While there are multiple learning design models that share similar foundations, authentic e-learning tasks go beyond process to become complex, sustained activities that draw on realistic situations to produce realistic outcomes. A Guide to Authentic e-Learning : develops the conceptual framework for authentic learning tasks in online environments provides practical guidance on design, implementation, and evaluation of authentic e-learning tasks includes case studies and examples of outcomes of using authentic e-learning tasks Written for teaching professionals in Higher Education who teach online, A Guide to Authentic e-Learning offers concrete guidelines and examples for developing and implementing authentic e-learning tasks in ways that challenge students to maximize their learning. This essential book provides effective, working examples to engages learners with authentic tasks in online learning settings. 1. Introduction 2. What is Authentic e-Learning? 3. Authentic e-Learning Tasks 4. What is Not Authentic e-Learning? 5. How Real Does Authentic e-Learning Need to be? 6. Authentic e-Learning and the Conative Learning Domain 7. Designing and Producing Authentic e-Learning Courses 8. Assessment of Authentic e-Learning 9. Evaluating Authentic e-Learning Courses 10. Researching Authentic e-Learning Winner of the AECT Design and Development 2010 Outstanding Book Award \"This book gives designers and faculty a glimpse of how they can create more powerful online learning experiences for students. Take the time to read the book to find out how.\"-- Educational Technology Jan Herrington is a Professor in the School of Education at Murdoch University in Perth, Western Australia. Thomas C. Reeves is a Professor of Learning, Design, and Technology at The University of Georgia, USA. Ron Oliver is Pro-Vice-Chancellor (Teaching and Learning) at Edith Cowan University in Perth, Western Australia.

This ebook discusses how educators can create impactful e-learning experiences in higher education.

Reflective practice is an important skill for students learning to teach in the lifelong learning sector.This book makes the case for reflective practice in post-compulsory teaching and shows how it can be used to support teachers in coping with the complexities and contingencies of practice.

We present results from a large (n = 3,016) field experiment at a global organization testing whether a brief science-based online diversity training can change attitudes and behaviors toward women in the workplace. Our preregistered field experiment included an active placebo control and measured participants’ attitudes and real workplace decisions up to 20 weeks postintervention. Among groups whose average untreated attitudes—whereas still supportive of women—were relatively less supportive of women than other groups, our diversity training successfully produced attitude change but not behavior change. On the other hand, our diversity training successfully generated some behavior change among groups whose average untreated attitudes were already strongly supportive of women before training. This paper extends our knowledge about the pathways to attitude and behavior change in the context of bias reduction. However, the results suggest that the one-off diversity trainings that are commonplace in organizations are unlikely to be stand-alone solutions for promoting equality in the workplace, particularly given their limited efficacy among those groups whose behaviors policymakers are most eager to influence.

Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and completion rates in a handful of courses, but evidence of their effectiveness across diverse educational contexts is limited. In this study, we test a set of established interventions over 2.5 y, with one-quarter million students, from nearly every country, across 247 online courses offered by Harvard, the Massachusetts Institute of Technology, and Stanford. We hypothesized that the interventions would produce medium-to-large effects as in prior studies, but this is not supported by our results. Instead, using an iterative scientific process of cyclically preregistering new hypotheses in between waves of data collection, we identified individual, contextual, and temporal conditions under which the interventions benefit students. Self-regulation interventions raised student engagement in the first few weeks but not final completion rates. Value-relevance interventions raised completion rates in developing countries to close the global achievement gap, but only in courses with a global gap. We found minimal evidence that state-of-the-art machine learning methods can forecast the occurrence of a global gap or learn effective individualized intervention policies. Scaling behavioral science interventions across various online learning contexts can reduce their average effectiveness by an order-of-magnitude. However, iterative scientific investigations can uncover what works where for whom.

To evaluate: (a) the effectiveness of an infographic poster compared with an e-learning program on general practice nurses’ knowledge about chronic kidney disease risk factors and best practice screening procedures and (b) the effectiveness of an infographic poster compared with an e-learning program on general practice nurses’ learning time and learning efficiency. The screening and early detection of chronic kidney disease is essential in reducing its burden on the health system and those affected by it. General practice nurses are well-positioned to assist in its early detection. Parallel-group, single-blinded, pre-post interventional randomised control design. This study was reported in accordance with the Consolidated Standards of Reporting Trials (CONSORT). Participants were registered or enrolled nurses working in general practice settings across Australia. The intervention group (n = 173) received an infographic poster about chronic kidney disease risk factors and best practice screening procedures, whereas the control group (n = 170) received an interactive e-learning program. Data were collected using an 8-item pre-post knowledge evaluation instrument. Time spent learning were collected through a self-reported log and a login/logout method. The overall intervention effect demonstrated no statistical significance in knowledge scores from the baseline scores between the intervention and control group. The intervention group demonstrated higher learning efficiency in comparison to the control group. The study demonstrated an infographic poster is as effective as an e-learning program on improving knowledge scores. However, in comparison to an e-learning program, an infographic poster is a more efficient way of learning. Infographic posters can be an efficient educational modality to enhance healthcare professionals’ knowledge and could be used as public health campaigns in clinical settings to educate the community.

Medical professionals are increasingly expected to deliver genetic services in daily patient care. However, genetics education is considered to be suboptimal and in urgent need of revision and innovation. We designed a Genetics e-learning Continuing Professional Development (CPD) module aimed at improving general practitioners' (GPs') knowledge about oncogenetics, and we conducted a randomized controlled trial to evaluate the outcomes at the first two levels of the Kirkpatrick framework (satisfaction, learning and behavior). Between September 2011 and March 2012, a parallel-group, pre- and post-retention (6-month follow-up) controlled group intervention trial was conducted, with repeated measurements using validated questionnaires. Eighty Dutch GP volunteers were randomly assigned to the intervention or the control group. Satisfaction with the module was high, with the three item's scores in the range 4.1-4.3 (5-point scale) and a global score of 7.9 (10-point scale). Knowledge gains post test and at retention test were 0.055 (P<0.05) and 0.079 (P<0.01), respectively, with moderate effect sizes (0.27 and 0.31, respectively). The participants appreciated applicability in daily practice of knowledge aspects (item scores 3.3-3.8, five-point scale), but scores on self-reported identification of disease, referral to a specialist and knowledge about the possibilities/limitations of genetic testing were near neutral (2.7-2.8, five-point scale). The Genetics e-learning CPD module proved to be a feasible, satisfactory and clinically applicable method to improve oncogenetics knowledge. The educational effects can inform further development of online genetics modules aimed at improving physicians' genetics knowledge and could potentially be relevant internationally and across a wider range of potential audiences.

This reference addresses the transformative landscape of education through the lens of modern technologies. It imparts a comprehensive overview of the challenges, opportunities, and future visions in education by covering the dynamic intersection of e-learning, virtual teaching, and cutting-edge technologies. The book includes an extensive spectrum of 14 topics commencing with a basic study on E-learning and teaching in the new millennium. Next, the work explores substantial topics such as the challenges and opportunities of virtual learning, the impact of the National Education Policy 2020, the role of Virtual Learning in bridging gender gaps, and the benefits and challenges for differently-abled students. Contributors also discuss new developments in education including the integration of ICT in mechanical engineering, the use of AR and VR to virtualize academic activities, and blockchain technology in education. The last two chapters explore the applications, challenges, and possibilities of machine learning and data analytics in the context of m-Health and the impact analysis of online education development. Key features of the reference are: a simplified exploration of the cutting-edge technologies that are reshaping the educational environment, a forward-looking view of the future of education, and practical insights into the drawbacks and advantages of virtual learning. Readers will get a broad perspective of information on virtual education technology with references and case studies that provide a holistic view of modern educational structures. This book is tailored for educators, researchers and anyone working in the field of education and technology who are looking for a thorough understanding of the transformative prospects of virtual lifelong learning and its implications for building an inclusive society and learning environment. Readership Educators, Researchers, online tutors and general readers.