Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
|
astro300_f16:day8 [2016/09/29 06:09] ccheng [Faculty Visits (35 minutes)] |
astro300_f16:day8 [2016/10/03 05:13] bethmcbride [Homework] |
||
|---|---|---|---|
| Line 8: | Line 8: | ||
| * One amusing comment | * One amusing comment | ||
| * One thing you agree or disagree with | * One thing you agree or disagree with | ||
| + | If you have not yet administered your evaluations: | ||
| + | * One thing you are particularly interested in learning about from your eval | ||
| + | * One thing you expect that your students will say | ||
| + | If you are not teaching this semester: | ||
| + | * Share one of the questions you wrote on your eval | ||
| (10 minutes) As a class: | (10 minutes) As a class: | ||
| Line 18: | Line 23: | ||
| * Eliot Quataert | * Eliot Quataert | ||
| * Jessica Lu | * Jessica Lu | ||
| - | * Eugene Chiang | ||
| Some prompts given in advance: | Some prompts given in advance: | ||
| Line 43: | Line 47: | ||
| =====Homework===== | =====Homework===== | ||
| - 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!). | ||
| - | - Read papers: | ||
| - Bring your lesson plan notebooks to 375 next week. | - Bring your lesson plan notebooks to 375 next week. | ||
| + | - Look through the abstracts from some of the following conference proceedings. Choose one paper to read and answer the questions at the bottom of this page. | ||
| + | * 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, 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 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 for using data to understand student learning, http://www.educationaldatamining.org/EDM2016/proceedings/edm2016_proceedings.pdf | ||
| + | * 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, 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 | ||
| + | |||
| + | Answer these questions about your articles: | ||
| + | * What is the title? | ||
| + | * What were the main take-aways (conclusions) from the article? | ||
| + | * What methods did the authors use to come to their conclusions? | ||
| + | * Do you agree with the conclusions? What critiques do you have about the paper? | ||
| + | * What did you find most interesting about your article or about the proceedings in general? | ||
