Person-Thing-Orientation and the Choice of Computer Science Courses in High School

2019 ◽  
pp. 175-188
Author(s):  
Jascha Kemper ◽  
Michael Brinkmeier
Keyword(s):  
High School ◽  
Computer Science ◽  
Science Courses ◽  
Computer Science Courses

Female Enrolment in High School Computer Science Courses

2021 ◽  
pp. 31-43
Author(s):  
Steven Paul Floyd
Keyword(s):  
High School ◽  
Computer Science ◽  
Federal Government ◽  
Computer Education ◽  
Equal Access ◽  
Science Courses ◽  
Computer Science Courses ◽  
Women And Girls ◽  
School Computer ◽  
Grade 11

Jane Margolis and Allan Fisher's book Unlocking the Clubhouse: Women in Computing presented computer education as a clubhouse for boys that was resulting in women and girls being left out of the computer science (CS) loop. This research reveals that now, almost 20 years later, a number of doors, walls, and windows still inhibit certain students from equal access and participation to the computing clubhouse and provides data from Ontario, Canada indicating that females make up only 26%, 21%, and 15.7% of student enrolled in the Grade 10, Grade 11, and Grade 12 high school courses, respectively. Considering the number of initiatives and money related to expanding CS education, including a revision of high school CS curriculum in Ontario and $60 million of additional CanCodes money provided by the federal government, a better understanding of the underrepresentation of females in high school CS is critical.

scholarly journals Advanced Placement (AP) Computer Science Principles: Searching for Equity in a Two-Tiered Solution to Underrepresentation

2019 ◽  
Author(s):  
Keith Howard
Keyword(s):  
High School ◽  
Computer Science ◽  
Advanced Placement ◽  
Pass Rates ◽  
Chi Square ◽  
Post Secondary ◽  
Science Courses ◽  
Computer Science Courses ◽  
Stem Major ◽  
And Performance

The purpose of this research is to examine the relationship between students’ participation in the two high school AP computer science exam options and their selected fields of study once they enter post-secondary education. Two studies using national public-use datasets of participation and performance were conducted. Study 1 compared score distributions for the traditional Computer Science A exam to those of the newer Computer Science Principles exam during its first two years of implementation. In Study 1, Chi-square analyses indicated large differences in performance between the two exams, with the Computer Science Principles scores clustering more around marginal pass rates. Descriptive data indicate that African American, Latino, and female students participated in larger proportions on the new exam, whereas traditionally overrepresented groups are continuing to opt more for the traditional Computer Science A course. In Study 2, logistic regression analyses were conducted on the 2016 second follow-up data collection of the High School Longitudinal Study 2009 (HSLS:09). Those analyses revealed that 11th Grade enrollment in computer science courses that concentrate on computer programming significantly predicted selection of a STEM major as the first declared major after high school. Although students who enrolled in Computer Science A were five times as likely to declare a STEM major, a comparison of the curricula and assessments for the two courses suggests that the Computer Science Principles exam places far less emphasis on programming. The potential implications of the differential foci and emphases of the two courses are discussed.

scholarly journals Advanced Placement (AP) Computer Science Principles: Searching for Equity in a Two-Tiered Solution to Underrepresentation

2019 ◽  
Author(s):  
Keith E. Howard ◽  
Douglas D. Havard
Keyword(s):  
High School ◽  
Computer Science ◽  
Advanced Placement ◽  
Pass Rates ◽  
Chi Square ◽  
Post Secondary ◽  
Science Courses ◽  
Computer Science Courses ◽  
Stem Major ◽  
And Performance

The purpose of this research is to examine the relationship between students’ participation in the two high school AP computer science exam options and their selected fields of study once they enter post-secondary education. Two studies using national public-use datasets of participation and performance were conducted. Study 1 compared score distributions for the traditional Computer Science A exam to those of the newer Computer Science Principles exam during its first two years of implementation. In Study 1, Chi-square analyses indicated large differences in performance between the two exams, with the Computer Science Principles scores clustering more around marginal pass rates. Descriptive data indicate that African American, Latino, and female students participated in larger proportions on the new exam, whereas traditionally overrepresented groups are continuing to opt more for the traditional Computer Science A course. In Study 2, logistic regression analyses were conducted on the 2016 second follow-up data collection of the High School Longitudinal Study 2009 (HSLS:09). Those analyses revealed that 11th Grade enrollment in computer science courses that concentrate on computer programming significantly predicted selection of a STEM major as the first declared major after high school. Although students who enrolled in Computer Science A were five times as likely to declare a STEM major, a comparison of the curricula and assessments for the two courses suggests that the Computer Science Principles exam places far less emphasis on programming. The potential implications of the differential foci and emphases of the two courses are discussed.

Design of Methods of Teaching Computer Science Courses

2020 ◽  
pp. 321-348
Author(s):  
Orit Hazzan ◽  
Noa Ragonis ◽  
Tami Lapidot
Keyword(s):  
Computer Science ◽  
Science Courses ◽  
Computer Science Courses
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