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astro300_f16:day8 [2016/09/29 06:13] – [Section Recap (20 minutes)] ccheng | astro300_f16:day8 [2016/10/03 05:12] – [Homework] bethmcbride | ||
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* One thing you expect that your students will say | * One thing you expect that your students will say | ||
If you are not teaching this semester: | 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: | ||
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* Eliot Quataert | * Eliot Quataert | ||
* Jessica Lu | * Jessica Lu | ||
- | * Eugene Chiang | ||
Some prompts given in advance: | Some prompts given in advance: | ||
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=====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 {{: | - 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 {{: | ||
- | - 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:// | ||
+ | * 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:// | ||
+ | * 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:// | ||
+ | * EDM: Educational Data Mining, mainly focused on machine learning as a method for using data to understand student learning, http:// | ||
+ | * AIED: Artificial Intelligence in Education, more comprehensive methodology than EDM (including natural language processing) as a means to understand student learning, http:// | ||
+ | * AERA: American Educational Research Association, | ||
+ | |||
+ | 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? | ||
+ | * What did you find most interesting about your article or about the proceedings in general? | ||