BYOPaper ICER + Quantitative Methods

ICER stands for The International Computing Education Research (ICER) conference. Choose a paper from ICER that used quantitative methods but otherwise can be aligned with your interests. To find papers, go to the ACM Digital library’s ICER search engine. Alternatively, you can use dblp or Google Scholar and include ICER in your keyword search, just be careful that it is actually a paper from ICER. The overall goal of BYOPaper is for you to start looking for related work for your research question and to share what you find with the class in case it would benefit them as well. Note a paper should be more than 2 pages long. If it’s less than this, it is likely a poster’s extended abstract.

There are two deliverables for all BYOPapers:

1. An entry in your QQC Doc
2. An entry in the course’s gitlab wiki

Everyone will give a short presentation on what they read. You will present from your wiki entry. Your entry should contain the following:

1. Keyword hashtagged terms that make it easy to search for the paper
2. 1-2 sentence summary
3. Key takeaways from the paper
4. Any other thoughts/questions you had about the paper
5. A citation with a link – If you are using the ACM library, you click on the citation icon and get the ACM citation that includes a link.

Be prepared to also discuss why you chose this paper. You do not need to make the wiki entry extensive. About one “screenful” or 1 page is sufficient. The padiyath2024insights entry in the wiki is an example. Note the appendix is optional.

Steps to create wiki page

1. Go to the repository and click on wiki.
2. Click on “View all pages”
3. Click on “New Page”
4. The title should be last_name_of_first_authorYEARfirst_word(s) of the paper. If the first word of the paper is a stop/filler/common word like “the” add the next word, for example:
   1. ojha2024instructional for: Vidushi Ojha, Andrea Watkins, Christopher Perdriau, Kathleen Isenegger, and Colleen M. Lewis. 2024. Instructional Transparency: Just to Be Clear, It’s a Good Thing
   2. gordon2021the_role for: Nikolas Gordon and Omar Alam. 2021. The Role of Race and Gender in Teaching Evaluation of Computer Science Professors: A Large Scale Analysis on RateMyProfessor Data.
5. Uncheck “Generate page path from title” and add “paper/icer/” to the front

Grading

• Exemplary – Above and beyond Satisfactory, such as clear evidence of a critical paper reading.
• Satisfactory – The paper entry is in the wiki and has all the parts with a clear level of effort that is similar to the example (not including the appendix).
• Not Yet – The paper entry is missing one part.
• Unassessable – There is a paper entry, but it does not fulfill the Not Yet criteria.

Regrade

You may redo the work and request a single regrade to update your grade.