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    1. Assessing OER - Open Educational Resources (OER) in Teaching and Learning - LibGuides at Duke Univer

      Searching for the sources in an OER shouldn't consume all of your evaluation time, so finding something with proper citation can save you some (...)

    2. Assessing OER - Open Educational Resources (OER) in Teaching and Learning - LibGuides at Duke Univer

      Searching for the sources in an OER shouldn't consume all of your evaluation time, so finding something with proper citation can save you some (...)

    3. Methods - Qualitative Research - LibGuides at Duke University

      Sampling In qualitative research, only a sample (subset) of a population is selected for any given study.Three of the most common sampling (...)

    4. Considering Equity in Grading in Computer Science - Duke Learning Innovation & Lifetime Education

      There was a relatively liberal (and well-documented in her syllabus) late policy for most assignments, also an example of both (...)

    5. Inclusive Teaching Quick Start Guide - Duke Learning Innovation & Lifetime Education

      Your library subject specialist is a great resource. Use bias-free language in course materials.  Ensure that all course materials are (...)

    6. 3. Searching, screening, and selection of articles - Evidence Synthesis & Systematic Reviews for Non

      Be aware that you may  introduce bias  into the final review if these are not used thoughtfully and adhered to regardless of the outcome.

    7. What We Read in October 2022 - Duke Learning Innovation & Lifetime Education

      But if you read in between the Four Pillars, you’ll find that many methods of… Continue reading >>> Ratings and Gender Bias Over (...)

    8. Evaluating Sources - ICS Gateway Course - LibGuides at Duke University

      Is the information in this source correct? Bias . Does the information in the source support a particular agenda?

    9. Systematic Reviews: Quality Assessment & Data Extraction | Duke University Medical Center Library On

      Participants will learn about risk of bias (RoB), clyritical appraisal, data extraction in evidence synthesis, and more.

    10. Artificial intelligence (AI) tools - Global Health - LibGuides at Duke University

      There is always the potential for bias since the GPT model was trained on a massive dataset of websites, articles, books, etc. 

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