Learning engineering: Difference between revisions

Revision as of 19:02, 30 October 2020

Revision as of 19:05, 30 October 2020

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Other platforms like [https://www.carnegielearning.com/products/software-platform/mathia-learning-software/ MATHia], [https://www.algebranation.com/ms/what-is-algebra-nation/?ref=about Algebra Nation], [https://learnplatform.com/about-us LearnPlatform], [https://coursekata.org/ coursekata], and [[ALEKS]] offer interactive learning environments created to align with key learning outcomes.

=== Dataset Generation ===

Datasets provide the raw material that researchers use to formulate educational insights. For example, Carnegie Mellon University hosts a large volume of learning interaction data onin the Pittsburgh Science of Learning CenterLearnLab's DataShop.<ref>{{Cite web|last=|first=|date=|title=Datashop|url=https://pslcdatashop.web.cmu.edu/index.jsp|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=Pittsburgh Science of Learning Center Datashop}}</ref> Their datasets range from sources like Intelligent Writing Tutors<ref>{{Cite web|last=|first=|date=|title=Intelligent Writing Tutor|url=https://pslcdatashop.web.cmu.edu/Project?id=18|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=Pittsburgh Science of Learning Center Datashop}}</ref> to Chinese tone studies<ref>{{Cite web|last=|first=|date=|title=Chinese tone study|url=https://pslcdatashop.web.cmu.edu/Project?id=4|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=Pittsburgh Science of Learning Center Datashop}}</ref> to data from [[Carnegie Learning]]’s MATHia platform.

[[Kaggle]], a hub for programmers and open source data, regularly hosts machine learning competitions. In 2019, PBS partnered with Kaggle to create the 2019 Data Science Bowl.<ref>{{Cite web|last=|first=|date=|title=2019 Data Science Bowl|url=https://kaggle.com/c/data-science-bowl-2019|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=Kaggle|language=en}}</ref> The DataScience Bowl sought machine learning insights from researchers and developers, specifically into how digital media can better facilitate early-childhood STEM learning outcomes.

Datasets, like those hosted by Kaggle PBS and Carnegie Learning, allow researchers to gather information and derive conclusions about student outcomes. These insights help predict student performance in courses and exams.<ref>{{Cite journal|last=Baker|first=Ryan S.J.D.|date=2010|title=Data mining for education|url=http://www.cs.cmu.edu/~rsbaker/Encyclopedia%20Chapter%20Draft%20v10%20-fw.pdf|journal=International Encyclopedia of Education|volume=7|pages=112–118|doi=10.1016/B978-0-08-044894-7.01318-X|via=}}</ref>

=== Learning Engineering in Practice ===

Combining education theory with data analytics has contributed to the development of tools that differentiate between when a student is “wheel spinning” (i.e., not mastering a skill within a set timeframe) and when they are persisting productively.<ref>{{Cite journal|last1=Kai|first1=Shimin|last2=Almeda|first2=Ma Victoria|last3=Baker|first3=Ryan S.|last4=Heffernan|first4=Cristina|last5=Heffernan|first5=Neil|date=2018-06-30|title=Decision Tree Modeling of Wheel-Spinning and Productive Persistence in Skill Builders|url=https://jedm.educationaldatamining.org/index.php/JEDM/article/view/210|journal=JEDM {{!}} Journal of Educational Data Mining|language=en|volume=10|issue=1|pages=36–71|doi=10.5281/zenodo.3344810|issn=2157-2100}}</ref> Tools like ASSISTments<ref>{{Cite web|last=|first=|date=|title=ASSISTments {{!}} Free Education Tool for Teachers & Students|url=https://new.assistments.org/|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=ASSISTments}}</ref> alert teachers when students consistently fail to answer a given problem, which keeps students from tackling insurmountable obstacles<ref name=":1">{{Cite web|last=Heffernan|first=Neil|date=2019-10-09|title=Persistence Is Not Always Productive: How to Stop Students From Spinning Their Wheels - EdSurge News|url=https://www.edsurge.com/news/2019-10-09-persistence-is-not-always-productive-how-to-stop-students-from-spinning-their-wheels|url-status=live|archive-url=|archive-date=|access-date=2020-07-21|website=EdSurge|language=en}}</ref>, promotes effective feedback<ref name=":1" /> and educator intervention, and increases student engagement.