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Real-World Learning: Preparing for Your Profession Outside of the Classroom is designed to help students get the most out of experiential education opportunities. Through twelve engaging chapters, students explore topics such as lifelong learning, communication in the workplace, project management, work-life balance, professional ethics, and whether to pursue a career in academia or in the industry. Each chapter is designed around a specific career-related or career-development topic. The chapters provide students with a theoretical basis for the exploration of the topic, as well as opportunities for practical application through carefully crafted activities. The second edition features new chapters that discuss diversity and goalsetting, expanded content based on student feedback, and freshly reorganized chapters. All chapters feature clear learning objectives, real-life examples, personal reflection and development activities, and suggested readings. Real-World Learning is applicable to any student seeking an internship, cooperative education experience, service learning opportunity, or study abroad program. Bernadette Friedrich earned her Ph.D. in higher education administration at Michigan State University, where she is now the director of student advancement. Dr. Friedrich works with students and alumni at all levels to integrate their classroom knowledge with real-world work opportunities such as internships, cooperative education, and research experiences. A member of the American Society of Engineering Education, in Dr. Friedrich received the Alvah K. Borman Award in 2016 for her contributions to cooperative education in engineering.
Creation in the real world is a disorganized process, and in order to foster authentic learning in the classroom, teachers must be flexible in planning and supporting learning experiences. Bring about deeper, self-directed learning in elementary school students. This book outlines opportunities teachers and students have to exercise cognitive complexity, engagement, and technology integration through real-world project-based instruction. Part one details the Create Excellence Framework for 21st century skills, and part two offers sample lesson plans from real-world learning projects, so educators can help students take more responsibility for and find more enthusiasm in their own learning. Benefits: Learn each of the components of the research-based Create Excellence Framework for lesson planning and how each component connects to student content standards. Discover the five levels of real-world learning, helping students find greater fulfillment in their PBL (project-based learning). Answer questions to consider in setting up the Create Excellence Framework for real-world learning. Consult real-world examples of Create Excellence Framework-applicable learning projects that meet the guidelines of curriculum standards. Learn about many online tools and resources to promote online projects that engage students in authentic learning. Contents Introduction: The Create Excellence Framework for Real-World Learning Part I: Chapter 1--Real-World Learning Chapter 2--Cognitive Complexity Chapter 3--Student Engagement Chapter 4--Technology Integration Chapter 5--Implementation of the Create Excellence Framework Part II: English Language Arts Projects Mathematics Projects Social Studies Projects Science Projects References and Resources
This open access book critiques real world learning across both the curriculum and extracurricular activities. Drawing on disciplines as diverse as business, health, fashion, sociology and geography, the editors and authors employ a cross-disciplinary approach to examine how this concept is being applied in higher education. Divided into three parts, the authors and contributors analyse broader applications of real world learning, student experience of practicing in a real world setting, and how learning strategies can be employed to engage students in real world learning. The editors and contributors provide up-to-date, cross-disciplinary and international insights into how real world learning could be integrated into the higher education curriculum to support effective, relevant and life-long learning for 21st century students.
Students need to connect to the real world, be engaged, and learn deeply. But how are teachers supposed to ensure that students meet these objectives in the current school system? In The Relevant Classroom, Eric Hardie presents six strategies derived from his two decades of experience as an elementary and secondary teacher and principal to show teachers ways to foster real-world connections, genuine engagement, and deeper learning: 1. Make meaning central to student work. 2. Contextualize the curriculum. 3. Create space to learn. 4. Connect student work to the community. 5. Follow the (student) leaders. 6. Reenvision feedback and evaluation. This practical volume includes advice on how to get started, vivid examples, reflection questions, and tips on how to overcome common obstacles. The Relevant Classroom is about recognizing that teachers who tap into students' capacities for creativity, collaboration, and innovation can create learning experiences that are truly meaningful for students.
Summary Real-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning systems help you find valuable insights and patterns in data, which you'd never recognize with traditional methods. In the real world, ML techniques give you a way to identify trends, forecast behavior, and make fact-based recommendations. It's a hot and growing field, and up-to-speed ML developers are in demand. About the Book Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems. What's Inside Predicting future behavior Performance evaluation and optimization Analyzing sentiment and making recommendations About the Reader No prior machine learning experience assumed. Readers should know Python. About the Authors Henrik Brink, Joseph Richards and Mark Fetherolf are experienced data scientists engaged in the daily practice of machine learning. Table of Contents PART 1: THE MACHINE-LEARNING WORKFLOW What is machine learning? Real-world data Modeling and prediction Model evaluation and optimization Basic feature engineering PART 2: PRACTICAL APPLICATION Example: NYC taxi data Advanced feature engineering Advanced NLP example: movie review sentiment Scaling machine-learning workflows Example: digital display advertising
Lead students through powerful learning experiences with Reinventing Project-Based Learning, a guide for educators, administrators and professional development specialists who want to make the shift to a more student-driven learning model. Explore proven strategies for overcoming the limitations of the traditional classroom, including a wealth of technology tools for inquiry, collaboration and global connection to support this new vision of instructional design.
Enrichment clusters engage students and facilitators in student-driven, real-world learning experiences. Grouped by interest, students working like practicing professionals apply advanced content and methods to develop products and services for authentic audiences. Clusters are scheduled during the school day over an extended period of time and involve all students. This updated second edition of Enrichment Clusters provides the rationale for including this important enrichment program for all students, suggestions for creating buy-in, and a step-by-step guide for successful implementation of a self-sustaining enrichment cluster program within the context of specific schools. Included are staff development activities, suggestions for evaluation and program improvement, guidelines for developing high quality cluster experiences for teachers and students, suggested resources, and everything one needs to develop, implement, and sustain a top-quality enrichment cluster program.
Foster authentic learning in classrooms. Students desire to find meaning in what they learn and to exert creativity in their schoolwork. Using the Create Framework, educators can help students find greater fulfillment in learning, while also meeting the guidelines of curriculum standards. Explore the framework's main components, and understand how to use the framework for classroom, school, and district pursuits.
Guided practice and activity pages help students formulate complete answers to real-life problems involving logical reasoning, pre-algebra, decimals, percentages, basic geometry, graphs, and statistics.
Support in higher education is an emerging area of great interest to professors, researchers and students in academic institutions. Sustainability in Higher Education provides discussions on the exchange of information between different aspects of sustainability in higher education. This book includes chapter contributions from authors who have provided case studies on various areas of education for sustainability. Focus on sustainability Present studies in aspects related with higher education Explores a variety of educational aspects from an sustainable perspective