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Saghafian S: Insight-Driven Problem
Solving

Insight-Driven Problem Solving

Analytics Science to Improve the World

Increase efficiency, improve profitability and reduce spend and become more confident handling and analyzing customer data for further insight.

Strategies for Accuracy and Efficiency

Optimizing Sales and Marketing Data

Critical Approaches and Innovations in Language Teacher Education

This book explores the value and affordances of critical autoethnography, an established qualitative research methodology, for the construction of language teachers' professional identities. Bedrettin Yazan responds to calls in recent scholarship for the incorporation of practitioners in the construction of their own professional knowledge and identities, the use of narrative as a tool for knowledge generation and identity construction, and the integration of identity as an explicit goal in language teacher education practices. He showcases examples of teacher candidates' autoethnographic work from three different groups of language teacher candidates in two university-based teacher education programmes. Through the narration and analysis of the researchers' own stories, the author discusses the potential of autoethnographic activity for the reconceptualization of language teachers as active agents in their own professional learning. He also discusses how these methodological procedures might be enriched by collaboration with colleagues, by potentially writing collaborative autoethnographies.

This book explores the value and affordances of critical autoethnography, an established qualitative research methodology, for the construction of language teachers’ professional identities. Bedrettin Yazan responds to calls in recent scholarship for the incorporation of practitioners in the construction of their own professional knowledge and identities, the use of narrative as a tool for knowledge generation and identity construction, and the integration of identity as an explicit goal in language teacher education practices. He showcases examples of teacher candidates’ autoethnographic work from three different groups of language teacher candidates in two university-based teacher education programmes. Through the narration and analysis of the researchers’ own stories, the author discusses the potential of autoethnographic activity for the reconceptualization of language teachers as active agents in their own professional learning. He also discusses how these methodological procedures might be enriched by collaboration with colleagues, by potentially writing collaborative autoethnographies.

Critical Autoethnography in Language Teacher Education

Theory Groups and the Social Production of Scientific Knowledge

Island Time

The Basics

Bioanthropology: The Basics

Introduction to Quantitative Economics

Tweaksters, Fraudsters, and the Manipulation of Empirical Results

The Credibility Crisis in Science

This timely and relevant guide for early career researchers was born out of the pandemic era as a series of talks initiated by Professor Andy Hor. As an experienced mentor of the leading research organization in Singapore, his wisdom and practical advice cover a broad range of essential topics, including grantsmanship, collaboration, lab setup, winning awards, building networks, and achieving impact.The lighthearted tone makes concepts easily digestible, with short, manageable sections. Interactive elements, such as the 'Food for thought' segments, encourage readers to reflect and apply the ideas discussed, enhancing their learning experience.Unlike traditional academic texts, this book offers a casual reading experience, yet remains a valuable resource not just for early career researchers but also for seasoned professionals seeking to refresh their approach and stay motivated. It is designed to be a supportive companion for researchers to help them navigate the complexities of achieving their scientific success and professional goals.

Kickstarter Guide To Research, A: Lunchtime Conversations With Andy

Springer Handbooks

Springer Handbook of Reliability

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

Professional Practice in Governance and Public Organizations

From Administrative Sources to Public Value

Data-Driven Learning in the EU

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

Medical Data Analysis and Developing ML/AI Models

Application of Python in the Healthcare Technology

Insight-Driven Problem Solving

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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