Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 7 |
Descriptor
Computer Science Education | 7 |
Scores | 7 |
College Students | 3 |
Intervention | 3 |
Introductory Courses | 3 |
Programming | 3 |
Teaching Methods | 3 |
Academic Achievement | 2 |
Correlation | 2 |
Gender Differences | 2 |
Grades (Scholastic) | 2 |
More ▼ |
Source
ACM Transactions on Computing… | 7 |
Author
Publication Type
Journal Articles | 7 |
Reports - Research | 6 |
Reports - Evaluative | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 4 |
Postsecondary Education | 4 |
High Schools | 2 |
Secondary Education | 2 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 12 | 1 |
Audience
Location
California | 1 |
Illinois | 1 |
Laws, Policies, & Programs
Assessments and Surveys
ACT Assessment | 1 |
SAT (College Admission Test) | 1 |
What Works Clearinghouse Rating
Lishinski, Alex; Yadav, Aman – ACM Transactions on Computing Education, 2021
Research has repeatedly shown self-efficacy to be associated with course outcomes in CS and across other fields. CS education research has documented this and has developed CS-specific self-efficacy measurement instruments, but to date there have been only a few studies examining interventions intended to improve students' self-efficacy in CS, and…
Descriptors: Self Evaluation (Individuals), Intervention, Self Efficacy, Computer Science Education
Abdulhadi Shoufan – ACM Transactions on Computing Education, 2023
With the immense interest in ChatGPT worldwide, education has seen a mix of both excitement and skepticism. To properly evaluate its impact on education, it is crucial to understand how far it can help students without prior knowledge answer assessment questions. This study aims to address this question as well as the impact of the question type.…
Descriptors: Prior Learning, Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing
Liao, Soohyun Nam; Zingaro, Daniel; Thai, Kevin; Alvarado, Christine; Griswold, William G.; Porter, Leo – ACM Transactions on Computing Education, 2019
As enrollments and class sizes in postsecondary institutions have increased, instructors have sought automated and lightweight means to identify students who are at risk of performing poorly in a course. This identification must be performed early enough in the term to allow instructors to assist those students before they fall irreparably behind.…
Descriptors: Prediction, Low Achievement, Tests, Scores
Tomkin, Jonathan H.; West, Matthew; Herman, Geoffrey L. – ACM Transactions on Computing Education, 2018
We present a methodological improvement for calculating Grade Point Averages (GPAs). Heterogeneity in grading between courses systematically biases observed GPAs for individual students: the GPA observed depends on course selection. We show how a logistic model can account for course selection by simulating how every student in a sample would…
Descriptors: Grade Point Average, Grading, Predictor Variables, Grades (Scholastic)
Burgiel, Heidi; Sadler, Philip M.; Sonnert, Gerhard – ACM Transactions on Computing Education, 2020
The number of computer science (CS) courses has been dramatically expanding in U.S. high schools (HS). In comparison with well-established courses in mathematics and science, little is known about how the decisions made by HS CS teachers regarding how and what to teach impact student performance later in introductory college CS courses. Drawing on…
Descriptors: Computer Science Education, High School Students, College Students, High School Teachers
Kunkle, Wanda M.; Allen, Robert B. – ACM Transactions on Computing Education, 2016
Learning to program, especially in the object-oriented paradigm, is a difficult undertaking for many students. As a result, computing educators have tried a variety of instructional methods to assist beginning programmers. These include developing approaches geared specifically toward novices and experimenting with different introductory…
Descriptors: Teaching Methods, Programming, Programming Languages, Computer Science Education
Zimmerman, Thomas G.; Johnson, David; Wambsgans, Cynthia; Fuentes, Antonio – ACM Transactions on Computing Education, 2011
This article reports on a public school that is succeeding in encouraging Latino high school students to select Computer Science (CS) as a major. The students attend a charter high school designed to encourage low-income Latino students to attend college and attain proficiency in English, Spanish, and computers. Using data from surveys and by…
Descriptors: High Schools, Private Schools, Intervention, Student Interests