-  Data is from a Python programming course at the University of Michigan in Winter 2018, consisting mostly of students who do not have any experience with programming. 
-  There were efforts to make the course enticing to both male and female students, with female students accounting for 49.8% of enrollments from 2013-2017. 
-  After the course, these female students took second-level programming courses at the same or higher rates than the male students. 

University of Michigan - Ann Arbor

-  Data & Participants
-  The Runestone Interactive Textbook 
-  Measures
-  Model

Methods: Speed and Studying: Gendered Pathways to Success

Iman YeckehZaare and Paul Resnick. 2019. Speed and Studying: Gendered Pathways to Success. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). Association for Computing Machinery, New York, NY, USA, 693–698. DOI:https://doi.org/10.1145/3287324.3287417

Speed and Studying: Gendered Pathways to Success

Data & Participants: Speed and Studying: Gendered Pathways to Success

-  A platform that gives authors the ability to make interactive textbooks and instructors to put together assignments from those elements. 
-  Textbook pages can contain several interactive elements with a range of multimedia and question styles. 
-  Students receive feedback immediately upon completing the elements. 
-  The students are graded and the platform also keeps track of student actions, which includes both a timestamp for each page load and a time stamp when each question is submitted. 

The Runestone Interactive Textbook

-  Hours of studying, which included page loads and time spent with the review practice tool. 
-  Speed, which is how fast a student got the correct answers to problem sets. 
-  Earliness, which was an average of the number of hours between the time of completion of a problem set and the deadline for that problem set. 
-  Final exam grade

Measures in Speed and Studying: Gendered Pathways to Success

-  A mediation analysis was done to better understand how gender and exam performance are associated as mediated by Hours of Studying, Speed, and Earliness. 

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