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| astro300_f16:day8 [2016/10/03 04:55] – [Homework] bethmcbride | astro300_f16:day8 [2016/10/03 05:03] – [Homework] bethmcbride |
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| - Section video-taping is happening this week. We will send you a link to your section video by the end of the week. Watch it, and complete the {{:video.pdf|Section Video Recap Worksheet}} (due 10/12, next week!). | - Section video-taping is happening this week. We will send you a link to your section video by the end of the week. Watch it, and complete the {{:video.pdf|Section Video Recap Worksheet}} (due 10/12, next week!). |
| - Bring your lesson plan notebooks to 375 next week. | - Bring your lesson plan notebooks to 375 next week. |
| - Read papers: | - Look through the abstracts from any of the following conference proceedings. Choose at least one paper and answer some questions. |
| * Learning @ Scale: mainly focused on MOOC learning, but does have research on using student data, http://dl.acm.org/citation.cfm?id=2876034 | * Learning @ Scale: mainly focused on learning from MOOCs (massively open online courses), but also includes research onusing student data to understand aspects of learning, http://dl.acm.org/citation.cfm?id=2876034 |
| * ICLS: International Conference of the Learning Sciences, best research in the field, includes some research in higher education, https://www.isls.org/icls/2016/index.html (see proceedings, volumes 1 & 2 on homepage) | * ICLS: International Conference of the Learning Sciences, top research conference in the field and mainly focuses on STEM education, includes some research in higher education, https://www.isls.org/icls/2016/index.html (see proceedings, volumes 1 & 2 on homepage) |
| * NARST: National Association of Research in Science Teaching, mainly focused on practitioners and applied research, http://narst.org/annualconference/2016_Narst_International_Conference_Program.pdf | * NARST: National Association of Research in Science Teaching, mainly focused on practitioners and research that comes from classrooms or is being applied to classrooms, http://narst.org/annualconference/2016_Narst_International_Conference_Program.pdf |
| * EDM: Educational Data Mining, mainly focused on machine learning as a method of understanding student learning, http://www.educationaldatamining.org/EDM2016/proceedings/edm2016_proceedings.pdf | * EDM: Educational Data Mining, mainly focused on machine learning as a method for using data to understand student learning, http://www.educationaldatamining.org/EDM2016/proceedings/edm2016_proceedings.pdf |
| * AIED: Artificial Intelligence in Education, more comprehensive data mining and methods (including natural language processing) as a means to understand student learning, http://www.springer.com/us/book/9783319197722 | * AIED: Artificial Intelligence in Education, more comprehensive methodology than EDM (including natural language processing) as a means to understand student learning, http://www.springer.com/us/book/9783319197722 |
| * AERA: American Educational Research Association, biggest conference for presenting new work, but the proceedings are a real pain to sift through, http://www.aera.net/Publications/Online-Paper-Repository/AERA-Online-Paper-Repository | * AERA: American Educational Research Association, the biggest conference for presenting new work in all areas of education (including higher education, STEM education, etc.), but the proceedings are a pain to sift through, http://www.aera.net/Publications/Online-Paper-Repository/AERA-Online-Paper-Repository |
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