Investigating a College Computer Course Delivered in Both Online and Face-to-face Classes PDF Download
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Author: Baolong Fu
Publisher:
ISBN: 9780494972809
Category :
Languages : en
Pages :
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Book Description
Author: Baolong Fu
Publisher:
ISBN: 9780494972809
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Eli Cohen
Publisher: Informing Science
ISBN: 1932886109
Category :
Languages : en
Pages : 760
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Book Description
Author: Hinton, Samuel L.
Publisher: IGI Global
ISBN: 1522570225
Category : Education
Languages : en
Pages : 272
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Book Description
As higher educational learning enters a new age, Historically Black Colleges and Universities (HBCUs) are seeking innovative ways to establish strategies to compete with other academic institutions. As establishments that have played a pivotal role in transforming the landscape of higher education, HBCUs are facing rapid transformation and various obstacles leading to questions regarding to the cost, quality, and sustainability of these institutions. Examining Student Retention and Engagement Strategies at Historically Black Colleges and Universities is a pivotal reference source that provides vital research on the role of HBCUs in today’s higher education and the various research methods addressing student retention rates, success levels, and engagement. While highlighting topics such as enrollment management, student engagement, and online learning, this publication explores successful engagement strategies that promote educational quality and equality, as well as the methods of social integration and involvement for students. This book is ideally designed for researchers, academicians, scholars, educational administrators, policymakers, graduate students, and curriculum designers.
Author: Badrul Huda Khan
Publisher: Educational Technology
ISBN: 9780877782964
Category : Computers
Languages : en
Pages : 488
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Book Description
A cutting edge collection of 59 essays solicited from Web-based instructors offering a variety of perspectives, notions, and experiences in the practice of virtual teaching. The compendium introduces the evolution and status of distance learning, critical issues in Web-based learning environments such as the similarities and differences between Web-based and traditional classrooms, specific discussions on designing learning activities and electronic textbooks, an evaluation of delivery systems for instruction, and case studies of Web-based courses from kindergarten and beyond to the instruction of literature, astronomy, and foreign languages. Includes illustrations. Annotation copyrighted by Book News, Inc., Portland, OR
Author: Lucas Kohnke
Publisher: Frontiers Media SA
ISBN: 2832520677
Category : Education
Languages : en
Pages : 195
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Book Description
Author: Zou, Bin
Publisher: IGI Global
ISBN: 1466628227
Category : Education
Languages : en
Pages : 356
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Book Description
Educational technologies continue to advance the ways in which we teach and learn. As these technologies continue to improve our communication with one another, computer-assisted foreign language learning has provided a more efficient way of communication between different languages. Computer-Assisted Foreign Language Teaching and Learning: Technological Advances highlights new research and an original framework that brings together foreign language teaching, experiments and testing practices that utilize the most recent and widely used e-learning resources. This comprehensive collection of research will offer linguistic scholars, language teachers, students, and policymakers a better understanding of the importance and influence of e-learning in second language acquisition.
Author: Phillips Turner Hearn
Publisher:
ISBN:
Category : Community college students
Languages : en
Pages : 115
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Book Description
Author: Ng, Eugenia M. W.
Publisher: IGI Global
ISBN: 1605668532
Category : Computers
Languages : en
Pages : 464
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Book Description
Comparative Blended Learning Practices and Environments offers in-depth analysis of new technologies in blended learning that promote creativity, critical thinking, and meaningful learning.
Author: Alexey Grigorev
Publisher: Simon and Schuster
ISBN: 1638351058
Category : Computers
Languages : en
Pages : 470
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Book Description
Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. Summary In Machine Learning Bookcamp you will: Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Apply ML to complex datasets with images Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you’ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you’ve learned in previous chapters. You’ll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! About the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you’ll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You’ll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! What's inside Collect and clean data for training models Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow Deploy ML models to a production-ready environment About the reader Python programming skills assumed. No previous machine learning knowledge is required. About the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. Table of Contents 1 Introduction to machine learning 2 Machine learning for regression 3 Machine learning for classification 4 Evaluation metrics for classification 5 Deploying machine learning models 6 Decision trees and ensemble learning 7 Neural networks and deep learning 8 Serverless deep learning 9 Serving models with Kubernetes and Kubeflow
Author: Michael Simonson
Publisher: IAP
ISBN: 1681235455
Category : Education
Languages : en
Pages : 64
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Book Description
The Quarterly Review of Distance Education is a rigorously refereed journal publishing articles, research briefs, reviews, and editorials dealing with the theories, research, and practices of distance education. The Quarterly Review publishes articles that utilize various methodologies that permit generalizable results which help guide the practice of the field of distance education in the public and private sectors. The Quarterly Review publishes full?length manuscripts as well as research briefs, editorials, reviews of programs and scholarly works, and columns. The Quarterly Review defines distance education as institutionally?based formal education in which the learning group is separated and interactive technologies are used to unite the learning group.
