Finding your suitable institutional research is not easy. You may need consider between hundred or thousand products from many store. In this article, we make a short list of the best institutional research including detail information and customer reviews. Let’s find out which is your favorite one.
Reviews
1. Data Science in Higher Education: A Step-by-Step Introduction to Machine Learning for Institutional Researchers
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Data Science in Higher Education A Step By Step Introduction to Machine Learning for Institutional ResearchersDescription
Over 1,000 copies sold!
Be the change your institution needs.
What are leaders in research saying about Data Science in Higher Education?
"Where has this book been all these years? This is THE starting point for researchers looking for a leg up in today's college environment. Two parts discussion, one part methodology, and one part witty humor. I love it!"
"Buy this book for your analysts. They and your college will thank you."
"This is the only book on data science specific for higher education research that covers both theory and practice. I'm not a programmer at all, and I found this book very enjoyable. You wont regret it -- I know I don't!"
"When our department was tasked with coming up with a predictive 'machine-learning' model, we hired Jesse to help us. His charisma and knowledge are unmatched, and this book only helps to breathe fresh life into issues in research today that are all too often swept under the rug."
Discover the tools to take your institution to the next level!Data Science in higher education is the process of turning raw institutional data into actionable intelligence. With this introduction to foundational topics in machine learning and predictive analytics, ambitious leaders in research can develop and employ sophisticated predictive models to better inform their institution's decision-making process.
You don't need an advanced degree in math or statistics to do data science. With the open-source statistical programming language R, you'll learn how to tackle real-life institutional data challenges (with actual institutional data!) by going step-by-step through different case studies.
Topics include:
- Simple, Multiple, & Logistic Regression Techniques, and Naive Bayes Classifiers
- Best Practices for Data Scientists in Higher Education
- Narrative-style stories, gotchas, and insights from actual data science jobs at colleges and universities
Data Science is the art of carefully picking through that pile of book pages and putting together a complete book. It's the art of developing a narrative for your data, so that all the raw information that your institution warehouses and reports in bar charts and histograms is replaced with actionable intelligence.
Here's what we know:
- Data science can and should be an integral part of college and university operations.
- Institutional effectiveness should be working side-by-side with faculty and educators to collect, clean, and mine through data of current and past students' behaviors in order to better empower counseling and advisement services (whether virtual or otherwise).
- Data itself should be considered an asset to an institution, and the data mining process a necessary function of institutional operations.
So how do we do it?
It starts with a solid perspective and great research tools. With Data Science in Higher Education you'll learn about and solve real-world institutional problems with open-source tools and machine learning research techniques. Using R, you'll tackle case studies from real colleges and develop predictive analytical solutions to problems that colleges and universities face to this day.2. Planning and Assessment in Higher Education: Demonstrating Institutional Effectiveness
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In this era of increasing pressure on higher education institutions for accountability, Planning and Assessment in Higher Education is an essential resource for college and university leaders and staff charged with the task of providing evidence of institutional effectiveness. Michael F. Middaugh, a noted expert in the field, shows how colleges and universities can successfully measure student learning and institutional effectiveness and use these results to create more efficient communications with both internal and external constituencies as well as promote institutional effectiveness to support student learning."How can the assessment of institutional effectiveness be used to provide a solid foundation for planning? Middaugh has crafted a comprehensive, practical guide that also explains what accrediting agencies really want and need to know about these topics."
Elizabeth H. Sibolski, executive vice president, Middle States Commission on Higher Education
"Only Michael Middaugh, the unquestioned national leader in this field, could write such a lucid overview of how to make institutional assessment and planning really work as a tool rather than as a tedious requirement. He helped invent and shape the focus of national assessment rubrics and now offers his insights into how to make them work for your institution."
John C. Cavanaugh, chancellor, Pennsylvania State System of Higher Education
"Middaugh provides extremely helpful and practical guidance and insights on how colleges and universities can use assessment tools and frameworks to improve both academic programs and administrative operations. A valuable and timely book for all higher education leaders."
James P. Honan, senior lecturer on education, Harvard Graduate School of Education
3. Institutional Research: Decision Support in Higher Education
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Used Book in Good ConditionDescription
Book by4. Before and After the Tutorial: Writing Centers and Institutional Relationships (Research and Teaching in Rhetoric and Composition)
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Few would disagree that the tutorial is the central act of our writing centers. As Writing Center Administrators we take pride in the number of student-contact hours that we log each year. But what happens before and after the writing tutorial? What institutional relationships have we developed to help ensure not only that students continue to seek our services, but that faculty, administration, and the local community are aware of what we do? How do we craft our relationships with these various constituencies toward sustainability in our work? With each relationship comes a different set of dynamics. This collection works to describe essential writing center relationships that have developed, to understand unique current writing center relationships, and to consider possible important future relationships5. Outsourcing Student Success: The History of Institutional Research and the Future of Higher Education
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Colleges and universities have engaged in a bewildering succession of reform efforts to improve institutional performance and student success in higher education since the 1960s, with little success. After more than fifty years of seeking solutions internally, institutions are turning more and more to outside, for-profit firms to do it for themraising important questions about the mission and the future of higher education.
The history of the institutional research profession provides an important perspective on the inability of higher education executives to deliver fully on the promise of data based decision-making at American colleges and universities. Since its inception in the early twentieth century, the institutional research profession has sought to advance modern management techniques, data analytics, and knowledge about what works in college student success. The profession's struggle to spur reform has contributed to the ongoing crisis in US higher education and the recent turn to outsourcing student success solutions to private sector vendors of data science.
An independent and critical analysis of the history of institutional research in higher education administration, this book explores the history of the profession from the early twentieth century to the present and the culture of non-accountability that rose in opposition to forestall research on higher education. The narrative delivers a cautionary tale for those carrying forward the mantle of higher education reform and reveals to policy makers, administrators, faculty, students and families the reasons why the data that institutions collect, analyze, and publicize have not advanced college student success.