Learning analytics, when when your personal and professional life collide. #learninganalytics #mscedc #data #ethics #monitoringsystem March 20, 2017 at 06:05PM
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Instagram: Systems used to track and monitor student progress.
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#mscedc #educationaldatamining #learninganalytics March 19, 2017 at 04:56PM
These are some of the systems used for collecting data for educational purposes I’ve come across while working in education.
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Pinned to Technology on Pinterest: How can data mining and analytics enhance education?
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What are your thoughts on a tweetathon? #mscedc interested to see what the data says re: engagement. Can data really tell how active we are?
— Chenée Psaros (@Cheneehey) March 17, 2017
Diigo: Personalized Learning: The Conversations We’re Not Having
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2/2 @j_k_knox When there is much research being done in particular areas, how is it decided how work will be displayed? #mscedc
— Chenée Psaros (@Cheneehey) March 15, 2017
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1/2 @j_k_knox But popularity could be dictated by no. of times cited, no. times seen, popular search terms. #mscedc
— Chenée Psaros (@Cheneehey) March 15, 2017
Reporting bias and other biases affecting systematic reviews and meta-analyses: A methodological commentary
Abstract
Systematic reviews and meta-analyses often occupy the top of the hierarchy of evidence in support of evidence-based clinical practice. These studies commonly inform the formulation of clinical guidelines. Bias can intrude at several levels during the conduct of systematic reviews. The effect these various biases, in particular reporting bias, have on pooled estimates and review inferences are potentially significant. In this review, we describe several forms of selection and reporting biases that may occur during the conduct of a systematic review, how these biases might affect a review and what steps could help minimize their influence on review inferences. Specifically, we support calls for prospective international trial registration and open access to trial protocols as two potential solutions that may improve the methodological quality of systematic reviews and the validity of their results. © 2006 Future Drugs Ltd.
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This paper provided a tangible example of how bias can effect research. This is more clearly evident in the biological sciences than in social sciences.
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Thinking about how search results shape research. How do algorithms work in databases? #mscedc
— Chenée Psaros (@Cheneehey) March 14, 2017