Role of Prior Experience on Student Performance in the Introductory Undergraduate CS Course

Decades of technological development and innovation have led to an unprecedented digitalization of society. Graduates entering the modern workforce now need better computational competences. Higher education is thus forced to adapt and consider how to support these demands. To support educators in making decisions regarding how to integrate computing in their programmes, we set out to investigate to what extent and how mandatory (computer) programming has emerged in the tertiary educational system of an entire country: Denmark. We analyzed all course descriptions from 1169 tertiary educational programmes at all higher educational institutions spanning all of Denmark. This provides a “snapshot” of where and how programming education has emerged and manifested itself in higher education across faculties, study programmes, and disciplines for an entire country. Our results demonstrate that, as of 2023, 1 in 6$$\nicefrac {1}{2}$$ 1 2 educational programmes (175 out of 1169) include mandatory programming. To support educators in introducing programming, we quantify and provide an overview of educational programmes with mandatory programming along several dimensions. We characterize the roles programming has in different programmes, how programming is delineated, and which families of competences are often taught in connection with programming. Based on the results of our study, we issue five recommendations directed at policymakers and educators responsible for navigating the inclusion of programming in their education.

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The Tech Trajectory: Examining the Role of College Environments in Shaping Students’ Interest in Computing Careers

George

Sax

Wofford

et al. 2022

Res High Educ

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Role of Prior Experience on Student Performance in the Introductory Undergraduate CS Course

Cited by 4 publications

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Predictive Models as Early Warning Systems: A Bayesian Classification Model to Identify At-Risk Students of Programming

Predictive Models as Early Warning Systems: A Bayesian Classification Model to Identify At-Risk Students of Programming

Programming education across disciplines: a nationwide study of Danish higher education

The Tech Trajectory: Examining the Role of College Environments in Shaping Students’ Interest in Computing Careers

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