What AI Tells Us About How We Learn
2020
- 178Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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- Usage178
- Abstract Views178
Web Page Description
Speaker: Dr. Ma. Mercedes T. RodrigoFor the last 13 years, the Ateneo Laboratory for the Learning Sciences (ALLS) has been using learning analytics to better understand how students learn, behave, and feel in order to improve learning outcomes and the learning experience as a whole. In this talk, ALLS head Dr. Rodrigo will share some of the insights that she and her students have discovered about what prompts students to use taglish, working alone vs. working in pairs, and the benefits of taking breaks, among others. She will also discuss current work in informal learning within museums.--Dr. Ma. Mercedes T. Rodrigo is a full professor at the Department of Information Systems and Computer Science. She is the head of the Ateneo Laboratory for the Learning Sciences and the Executive Director of Areté . Her areas of interest are artificial intelligence in education and educational software development.
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