Unnormalizing Education PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Unnormalizing Education PDF full book. Access full book title Unnormalizing Education by Joseph R. Jones. Download full books in PDF and EPUB format.
Author: Joseph R. Jones
Publisher: IAP
ISBN: 1623967082
Category : Education
Languages : en
Pages : 81
Get Book Here
Book Description
Recently, with the number of students from higher education and K-12 settings committing suicide, it is apparent that homophobia and homophobic bullying are tremendous problems in our schools and universities. However, educators are unclear about an appropriate process for addressing these challenges. In this book, Jones postulates that we must begin exploring the culture of educational environments as they relate to sexual difference, in order to begin conceptualizing ways in which we may begin to address homophobia and heteronormativity. To that end, this book addresses how educators (at all levels) must begin examining how their concepts about different sexual identities are "normalized" through socializing processes and schooling. In doing so, this book examines how individuals construct meanings about homophobia and hate language through "contextual oppositions, " how educational environments maintain a ''false tolerance" when claiming to be tolerant of different sexual identities, how a hierarchy of hate language exists in educational environments, among other issues related to creating safe places for all students. In essence, the book attempts to "un"normalize society's constructions of sexual identity by deconstructing the social norms.
Author: Joseph R. Jones
Publisher: IAP
ISBN: 1623967082
Category : Education
Languages : en
Pages : 81
Get Book Here
Book Description
Recently, with the number of students from higher education and K-12 settings committing suicide, it is apparent that homophobia and homophobic bullying are tremendous problems in our schools and universities. However, educators are unclear about an appropriate process for addressing these challenges. In this book, Jones postulates that we must begin exploring the culture of educational environments as they relate to sexual difference, in order to begin conceptualizing ways in which we may begin to address homophobia and heteronormativity. To that end, this book addresses how educators (at all levels) must begin examining how their concepts about different sexual identities are "normalized" through socializing processes and schooling. In doing so, this book examines how individuals construct meanings about homophobia and hate language through "contextual oppositions, " how educational environments maintain a ''false tolerance" when claiming to be tolerant of different sexual identities, how a hierarchy of hate language exists in educational environments, among other issues related to creating safe places for all students. In essence, the book attempts to "un"normalize society's constructions of sexual identity by deconstructing the social norms.
Author: Joseph R. Jones
Publisher: IAP
ISBN: 1641137541
Category : Education
Languages : en
Pages : 108
Get Book Here
Book Description
Dr. Jones returned to the high school classroom after 15 years in higher education, most recently as an Associate Dean. This text chronicles his journey into his new teaching career. The premise of the text is framed on the attributes of a relational pedagogy. As such, the book discusses the relationships that Dr. Jones developed throughout the academic year. In this capacity, relational pedagogy allows the reader a unique lens through which to view the schooling process in this metropolitan southern town. In the book, Jones examines topics such as standardized testing, racism, sexuality, cheating, among other topics, through a critical theory paradigm. In doing so, Jones is able to interweave theoretical concepts within the daily actions of the schooling process. As such, the text is a unique reconceptualization of schools and the purpose of schools. Praise for My Second First Year: "In My Second First Year, Dr. Jones discusses his experiences leaving academia and returning to a high school English classroom, a daunting task that few academics would attempt. As a biologist and without affiliation with a teacher preparation program, I can attest to the importance of Jones’ work. This text illuminates the educational process for millions of children, which allows those of us not in the daily trenches of teaching K-12 students to experience the reality of our educational process. His discussions of school shootings, testing, and marginalization of students can become a catalyst that causes everyone in society to begin reexamining how we educate our children. Jones’ book could become the commencement point for educational reform." Linda Hensel, PhD Mercer University "In My Second First Year, Dr. Jones discusses his journey leaving higher education to return to a high school classroom. His powerful depictions of the realities of standardized testing, school shootings, racism, sexuality, and other topics cause the reader to reflect on all aspects of how children are educated. His use of relational pedagogy as his framework reminds us of the importance of positive relationships in schools and society. This text is a must read for anyone who advocates for our children." Nila Burt, EdS Assistant Principal Northside High School Georgia "Many of the stories in My Second First Year will be familiar to many teachers working in American PK-12 public schools as they will be similar to their own experiences. Dr. Jones takes us on a journey that many of us in academia would be apprehensive to take. By providing example after example, he demonstrates the significance of relational pedagogy and how it can increase the likelihood of student success. In this climate of student-to-college discourse, Jones provides evidence on how positive relations between teacher and students benefit all students regardless of post-secondary plans. This is significant for at the end of the day, the goal of schooling is about more than whether or not our students find employment. It is more important that students grow into caring, lifelong learners who can find happiness regardless of occupational goals. Jones reminds us all why we became teachers in the first place and—for many—why many teachers choose to stay in the profession." Vincent Youngbauer, PhD Mercer University
Author: Dothang Truong
Publisher: CRC Press
ISBN: 1003835619
Category : Business & Economics
Languages : en
Pages : 590
Get Book Here
Book Description
As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially; however, the abundance of resources can be overwhelming, making it challenging for new learners. This book aims to address this disparity and cater to learners from various non-technical fields, enabling them to utilize machine learning effectively. Adopting a hands-on approach, readers are guided through practical implementations using real datasets and SAS Enterprise Miner, a user-friendly data mining software that requires no programming. Throughout the chapters, two large datasets are used consistently, allowing readers to practice all stages of the data mining process within a cohesive project framework. This book also provides specific guidelines and examples on presenting data mining results and reports, enhancing effective communication with stakeholders. Designed as a guiding companion for both beginners and experienced practitioners, this book targets a wide audience, including students, lecturers, researchers, and industry professionals from various backgrounds.
Author: John Shawe-Taylor
Publisher: Springer
ISBN: 3540278192
Category : Computers
Languages : en
Pages : 656
Get Book Here
Book Description
This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004. The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.
Author: Nithin Buduma
Publisher: "O'Reilly Media, Inc."
ISBN: 1492082139
Category : Computers
Languages : en
Pages : 390
Get Book Here
Book Description
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to reimplement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field. Learn the mathematics behind machine learning jargon Examine the foundations of machine learning and neural networks Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Explore methods in interpreting complex machine learning models Gain theoretical and practical knowledge on generative modeling Understand the fundamentals of reinforcement learning
Author: Toon Calders
Publisher: Springer
ISBN: 3662448513
Category : Computers
Languages : en
Pages : 746
Get Book Here
Book Description
This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases.
Author: Joseph R. Jones
Publisher: Springer
ISBN: 9463512152
Category : Education
Languages : en
Pages : 190
Get Book Here
Book Description
In Feather Boas, Black Hoodies, and John Deere Hats, Jones once again challenges our beliefs about difference and acceptance. As one reviewer writes, “through a series of rich narratives, Jones provides examples of attitudes, experiences, and institutional acts that continue to propagate the marginalization of people in our communities. Intertwined within these stories are thoughtfully selected ideas to help us understand that embracing difference, and not merely respecting it, can be the catalyst for real change in all of us.” The book engenders a dialogic space for individuals to grapple with the idea of difference and the importance of inclusion in educational environments, and by extension broader society.
Author: Brett Lantz
Publisher: Packt Publishing Ltd
ISBN: 1801076057
Category : Computers
Languages : en
Pages : 763
Get Book Here
Book Description
Learn how to solve real-world data problems using machine learning and R Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features The 10th Anniversary Edition of the bestselling R machine learning book, updated with 50% new content for R 4.0.0 and beyond Harness the power of R to build flexible, effective, and transparent machine learning models Learn quickly with this clear, hands-on guide by machine learning expert Brett Lantz Book Description Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Fourth Edition, provides a hands-on, accessible, and readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to know for data pre-processing, uncovering key insights, making new predictions, and visualizing your findings. This 10th Anniversary Edition features several new chapters that reflect the progress of machine learning in the last few years and help you build your data science skills and tackle more challenging problems, including making successful machine learning models and advanced data preparation, building better learners, and making use of big data. You'll also find this classic R data science book updated to R 4.0.0 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Whether you're looking to take your first steps with R for machine learning or making sure your skills and knowledge are up to date, this is an unmissable read that will help you find powerful new insights in your data. What you will learn Learn the end-to-end process of machine learning from raw data to implementation Classify important outcomes using nearest neighbor and Bayesian methods Predict future events using decision trees, rules, and support vector machines Forecast numeric data and estimate financial values using regression methods Model complex processes with artificial neural networks Prepare, transform, and clean data using the tidyverse Evaluate your models and improve their performance Connect R to SQL databases and emerging big data technologies such as Spark, Hadoop, H2O, and TensorFlow Who this book is for This book is designed to help data scientists, actuaries, data analysts, financial analysts, social scientists, business and machine learning students, and any other practitioners who want a clear, accessible guide to machine learning with R. No R experience is required, although prior exposure to statistics and programming is helpful.
Author: Richard L. Bedell
Publisher:
ISBN:
Category : Geographic information systems
Languages : en
Pages : 206
Get Book Here
Book Description
Author: Jeff Prosise
Publisher: "O'Reilly Media, Inc."
ISBN: 1492098027
Category : Computers
Languages : en
Pages : 428
Get Book Here
Book Description
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company. Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples. This book helps you: Learn what machine learning and deep learning are and what they can accomplish Understand how popular learning algorithms work and when to apply them Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow Train and score regression models and binary and multiclass classification models Build facial recognition models and object detection models Build language models that respond to natural-language queries and translate text to other languages Use Cognitive Services to infuse AI into the apps that you write
