High School Computer Science Participation: A 6-Year Enrollment Study

• URL: http://arxiv.org/abs/2503.04770v1
• Date: Wed, 12 Feb 2025 20:24:19 GMT
• Title: High School Computer Science Participation: A 6-Year Enrollment Study
• Authors: Cynthia L. Blitz, David J. Amiel, Teresa G. Duncan,
• Abstract summary: This research brief presents findings from a six-year longitudinal study of computer science enrollments in seven public high schools.<n>Results show that overall enrollment in CS courses rose modestly from 10% to 15% between the 2018-2019 and 2022-2023 school years.<n> enrollment declined to 13% in 2023-2024, though the cause and persistence of this trend remains unknown.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: High-quality computer science (CS) instruction is essential for preparing students to thrive in an increasingly technology-driven world. This research brief presents findings from a six-year longitudinal study of CS enrollments in seven public high schools from the 2018-2019 through the 2023-2024 academic years, drawing on the administrative data of over 15,000 students. Results show that overall enrollment in CS courses rose modestly from 10% to 15% between the 2018-2019 and 2022-2023 school years. Enrollment declined to 13% in 2023-2024, though the cause and persistence of this trend remains unknown. Additional analyses differentiate foundational and advanced CS courses as well as examine participation by sex and race, offering additional insight. As CS, artificial intelligence, and related fields become more important across our society, they also become a key component of a robust K-12 education. Analyzing and understanding these trends in CS enrollments is crucial to inform policy and instruction that encourage students to participate and succeed in CS; this research brief presents one such analysis.

Related papers

• A Systematic Literature Review of Computer Science MOOCs for K-12 education [0.0]
  Computer science (CS) is increasingly becoming part of the curricula of K-12 education in different countries.<n>There are few K-12 CS teachers, and tools to offer K-12 CS education are often limited.<n>Massive Open Online Courses (MOOCs) might help to temporarily address these challenges.
  arXiv  Detail & Related papers  (2025-01-31T09:32:16Z)
• First Steps towards K-12 Computer Science Education in Portugal -- Experience Report [49.1574468325115]
  This paper reports on the efforts of the ENSICO association to implement such aims in Portugal. Starting with pilot projects in a few schools in 2020, it is currently working with 4500 students, 35 schools and 100 school teachers. The main aim is to gain enough experience and knowledge to eventually define a comprehensive syllabus for teaching computing as a mandatory subject.
  arXiv  Detail & Related papers  (2024-11-15T12:32:52Z)
• Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants [176.39275404745098]
  We evaluate whether two AI assistants, GPT-3.5 and GPT-4, can adequately answer assessment questions.<n>GPT-4 answers an average of 65.8% of questions correctly, and can even produce the correct answer across at least one prompting strategy for 85.1% of questions.<n>Our results call for revising program-level assessment design in higher education in light of advances in generative AI.
  arXiv  Detail & Related papers  (2024-08-07T12:11:49Z)
• Simpson's Paradox and Lagging Progress in Completion Trends of Underrepresented Students in Computer Science [0.09831489366502298]
  It is imperative for the Computer Science (CS) community to ensure active participation and success of students from diverse backgrounds. This work compares CS to other areas of study with respect to success of students from three underrepresented groups: Women, Black and Hispanic or Latino. Using a data-driven approach, we show that trends of success over the years for underrepresented groups in CS are lagging behind other disciplines.
  arXiv  Detail & Related papers  (2023-11-25T01:00:23Z)
• Insights for post-pandemic pedagogy across one CS department [1.1756822700775666]
  We studied one computer science department that serves residential and remote undergraduate and graduate students. We conducted interviews with stakeholders in the department and ran a department-wide student survey. Our case study outlines what the instructors did, summarizes what instructors and students say about courses during this period.
  arXiv  Detail & Related papers  (2022-03-17T03:14:52Z)
• Disadvantaged students increase their academic performance through collective intelligence exposure in emergency remote learning due to COVID 19 [105.54048699217668]
  During the COVID-19 crisis, educational institutions worldwide shifted from face-to-face instruction to emergency remote teaching (ERT) modalities. We analyzed data on 7,528 undergraduate students and found that cooperative and consensus dynamics among students in discussion forums positively affect their final GPA. Using natural language processing, we show that first-year students with low academic performance during high school are exposed to more content-intensive posts in discussion forums.
  arXiv  Detail & Related papers  (2022-03-10T20:23:38Z)
• Interleaving Computational and Inferential Thinking: Data Science for Undergraduates at Berkeley [81.01051375191828]
  The undergraduate data science curriculum at the University of California, Berkeley is anchored in five new courses. These courses emphasize computational thinking, inferential thinking, and working on real-world problems. These courses have become some of the most popular on campus and have led to a surging interest in a new undergraduate major and minor program in data science.
  arXiv  Detail & Related papers  (2021-02-13T22:51:24Z)
• Using Data Analytics to predict students score [0.0]
  A strong foundation of Science, Technology, Engineering, and Mathematics (STEM) was what underpinned Singapore's development over the past 50 years. In this paper, the authors used the PISA data from 2012 and 2015 and developed machine learning techniques to predictive the students' scores. The insights gained would be useful to have fresh perspectives on education, useful for policy formulation.
  arXiv  Detail & Related papers  (2020-11-19T13:04:55Z)
• What's the worth of having a single CS teacher program aimed at teachers with heterogeneous profiles? [68.8204255655161]
  We discuss the results of a 400-hour teacher training program conducted in Argentina aimed at K-12 teachers with no Computer Science background. Our research aims at understanding whether a single teacher training program can be effective in teaching CS contents and specific pedagogy to teachers with very heterogeneous profiles.
  arXiv  Detail & Related papers  (2020-11-09T15:03:31Z)
• SARS-CoV-2 Impact on Online Teaching Methodologies and the Ed-Tech Sector: Smile and Learn Platform Case Study [50.591267188664666]
  The study analyzes the importance of online methodologies and usage tendency of an educational resource example: The Smile and Learn platform. Thereby, the study presents the different models implemented to support education and its impact in the use of the platform.
  arXiv  Detail & Related papers  (2020-07-15T10:06:51Z)
• Gender Diversity in Computer Science at a Large Research University [0.0]
  We explore the gender gap in Computer Science at a large public research university. We find that a large percentage of women taking the Introductory CS1 course for majors do not intend to major in CS. This finding implies that a large part of the retention task is attracting these women to further explore the major.
  arXiv  Detail & Related papers  (2020-04-28T18:11:44Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.