Springer Nature Switzerland
2625-0012
Monthly
2625-0004
2022
41417473600
Switzerland
English
YES
Google Scholar
onlineservice@springernature.com
This book series, published collaboratively between the AECT (Association for Educational Communications and Technology) and Springer, represents the best and most cutting edge research in the field of educational communications and technology. The mission of the series is to document scholarship and best practices in the creation, use, and management of technologies for effective teaching and learning in a wide range of settings. The publication goal is the rapid dissemination of the latest and best research and development findings in the broad area of educational information science and technology. As such, the volumes will be representative of the latest research findings and developments in the field. Volumes will be published on a variety of topics, including: • Learning Analytics • Distance Education • Mobile Learning Technologies • Formative Feedback for Complex Learning • Personalized Learning and Instruction • Instructional Design • Virtual tutoring Additionally, the series will publish the bi-annual AECT symposium volumes, the Educational Media and Technology Yearbooks, and the extremely prestigious and well known, Handbook of Research on Educational Communications and Technology. Currently in its 4th volume, this large and well respected Handbook will serve as an anchor for the series and a completely updated version is anticipated to publish once every 5 years. The intended audience for Educational Communications and Technology: Issues and Innovations is researchers, graduate students and professional practitioners working in the general area of educational information science and technology; this includes but is not limited to academics in colleges of education and information studies, educational researchers, instructional designers, media specialists, teachers, technology coordinators and integrators, and training professionals. — show less
In clinical psychology, reinforcement learning is one of the many forms of conditional learning that focuses on reinforcing behavior that yields beneficial results. Similar to any other stru...
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