- Aug 2024
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www.youtube.com www.youtube.com
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27:00 Flow is a meta-skill (also mentioned are creativity, critical thinking, learning)
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- Nov 2022
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www.cisco.com www.cisco.com
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Meta-analysis statistical procedures provide a measure of the difference between two groups thatis expressed in quantitative units that are comparable across studies
The units are only "comparable across studies" if there weren't any mishaps (eg, clinical or methodological heterogeneity). If there's clinical heterogeneity, then we're probably comparing apples to oranges (ie, either participants, interventions, or outcomes are different among studies). If there's methodological heterogeneity, then that means there's a difference in study design
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- Jun 2021
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stackoverflow.com stackoverflow.com
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Programmers should be encouraged to understand what is correct, why it is correct, and then propagate.
new tag?:
- understand why it is correct
Tags
- annotation meta: may need new tag
- spreading/propagating good ideas
- programming languages: learning/understanding the subtleties
- combating widespread incorrectness/misconception by consistently doing it correctly
- quotable
- having a deep understanding of something
- programming: understand the language, don't fear it
- good advice
Annotators
URL
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- Mar 2021
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Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021). A Tutorial for Exploratory Research: An Eight-Step Approach. PsyArXiv. https://doi.org/10.31234/osf.io/cy9mz
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- Sep 2016
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www.sr.ithaka.org www.sr.ithaka.org
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Research: Student data are used to conduct empirical studies designed primarily to advance knowledge in the field, though with the potential to influence institutional practices and interventions. Application: Student data are used to inform changes in institutional practices, programs, or policies, in order to improve student learning and support. Representation: Student data are used to report on the educational experiences and achievements of students to internal and external audiences, in ways that are more extensive and nuanced than the traditional transcript.
Ha! The Chronicle’s summary framed these categories somewhat differently. Interesting. To me, the “application” part is really about student retention. But maybe that’s a bit of a cynical reading, based on an over-emphasis in the Learning Analytics sphere towards teleological, linear, and insular models of learning. Then, the “representation” part sounds closer to UDL than to learner-driven microcredentials. Both approaches are really interesting and chances are that the report brings them together. Finally, the Chronicle made it sound as though the research implied here were less directed. The mention that it has “the potential to influence institutional practices and interventions” may be strategic, as applied research meant to influence “decision-makers” is more likely to sway them than the type of exploratory research we so badly need.
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- Jan 2016
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We analyzed the relationship between students’ level of online engagement, and traditional learning metrics, to understand the effectiveness of discussion forums in the context of flipped classrooms.
Sounds like something interesting for Dr. Jeremy Dean.
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- Nov 2015
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chronicle.com chronicle.com
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Besides the piece’s content, the interactions which happened through a layer of Diigo annotations were quite interesting.
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