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Articles 1 - 7 of 7
Full-Text Articles in Information Literacy
Honors Undergraduate Thesis Final Revisions, Kerri Bottorff
Honors Undergraduate Thesis Final Revisions, Kerri Bottorff
STARS Documentation
Slides from the workshop presented to Honors Undergraduate Thesis students each semester.
Systematic Review, Usu Libraries
Systematic Review, Usu Libraries
All E-Learning Resources
These modules cover the steps of completing a systematic review, including other review types that fall under the general structure of "evidence synthesis.” This course was created to guide students through the process of conducting a systematic review or other type of evidence synthesis. It can also be useful for faculty undertaking their own systematic review.
Engl 2010: Investigating A Topic, Usu Libraries
Engl 2010: Investigating A Topic, Usu Libraries
All E-Learning Resources
The Investigating a Topic module teaches students to engage in an observation-question-conservation approach in order to develop a researchable topic
Usu 1730 Online Library Workshop, Lara Petersen
Usu 1730 Online Library Workshop, Lara Petersen
All E-Learning Resources
Introduces students to information literacy, evaluating sources, and using Academic Search Ultimate through the scenario of Donovan's Dilemma.
How To Read A Scientific Article, Usu Libraries
How To Read A Scientific Article, Usu Libraries
All E-Learning Resources
This module will provide tips for reading and analyzing a scientific article.
Citing Sources In Apa Format, Niki Fullmer
Citing Sources In Apa Format, Niki Fullmer
All E-Learning Resources
Tutorial for citing in APA 7th Edition citation style. This provides examples, resources, and tips.
Introduction To Data Science, Spencer P. Greenhalgh
Introduction To Data Science, Spencer P. Greenhalgh
Information Science Textbook Gallery
This book was developed for ICT/LIS 661: Introduction to Data Science, as offered in the University of Kentucky's School of Information Science. It adapts and expands on openly licensed materials to introduce readers to basic statistical concepts, the R programming language, and philosophical critique of data science.
This open access textbook was supported by the University of Kentucky Libraries Alternative Textbook program