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Steve Balady; Cynthia Taylor – Computer Science Education, 2024
Background and Context: Computer Science has traditionally had poor student retention, especially among women. Prior work has found that student attitudes are a key factor to retention, especially with "weedout" courses such as Calculus. Objective: To determine how student attitudes towards CS 1 and Calculus change over active-learning…
Descriptors: Student Attitudes, Calculus, Computer Science Education, Academic Persistence
Amanpreet Kaur; Kuljit Kaur Chahal – Education and Information Technologies, 2024
Research so far has overlooked the contribution of students' noncognitive factors to their performance in introductory programming in the context of personalized learning support. This study uses learning analytics to design and implement a Dashboard to understand the contribution of introductory programming students' learning motivation,…
Descriptors: Learning Analytics, Introductory Courses, Programming, Computer Science Education
Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Nicholas A. Bowman; Federick J. Ngo; Jeongmin Ji – Review of Higher Education, 2025
Research has frequently demonstrated negative effects of placing students into developmental education, but very little inquiry has considered the impact of placing students into different levels of non-developmental coursework. The present study explored this issue within sequenced pairs of STEM gateway courses using doubly-robust propensity…
Descriptors: Student Placement, STEM Education, Outcomes of Education, Undergraduate Students
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
Woods, David M. – Information Systems Education Journal, 2023
Schools have implemented the high-impact practice of first-year experience (FYE) courses to assist students with the transition to college. These courses help connect new students to the school with the goal of improving retention. While students in computing majors face the same challenges as other new college students, they also face some…
Descriptors: Introductory Courses, Information Science Education, Information Technology, Career Choice
Daisy Ramirez; Sarah L. Rodriguez; Kathleen J. Lehman; Linda J. Sax – Journal Committed to Social Change on Race and Ethnicity, 2024
This qualitative study employs interviews to explore the process of computing identity development and maintenance among Latina undergraduate students, beginning from their experiences in introductory computing courses and extending beyond. The findings shed light on the significant influence of factors such as peer and faculty recognition,…
Descriptors: Females, Hispanic American Students, Student Attitudes, Self Concept
Tan, Wee Lum; Venema, Sven – International Association for Development of the Information Society, 2019
One of the challenges that commencing university students in computing degree programs face is the difficulty in engaging with the abstract and complicated theories in the computing discipline. In particular, it is hard for beginner computer architecture students to visualise the link between the theory of digital logic and the behaviour of the…
Descriptors: Logical Thinking, Computer Science Education, Introductory Courses, Correlation
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Assignon, Selom – ProQuest LLC, 2018
The problem of low student completion rates in distance learning courses remains one of the major issues that institutions of higher learning face. Efforts by school administrators to reverse this trend have so far produced mixed results. The rapid expansion of distance learning has encouraged many institutions to move more courses online,…
Descriptors: Academic Achievement, Computer Science Education, Online Courses, Distance Education
Machajewski, Szymon Tomasz – Online Submission, 2017
Between 2000 and 2016, the STEM industry reportedly added jobs at the rate of 28% while all jobs were growing at only 6%. However, 48% of bachelor's degree students and 69% of associate's degree students in STEM majors left their program of study between 2003 and 2009. The high attrition rate is often attributed to low student engagement, boredom,…
Descriptors: College Science, STEM Education, Introductory Courses, Case Studies
Soe, Louise; Guthrie, Ruth; Yakura, Elaine; Hwang, Drew – Information Systems Education Journal, 2012
In order to stem the decline of female majors and encourage the persistence of all students in the Computer Information Systems (CIS) Department at Cal Poly Pomona (CPP), the department faculty is instituting a new course to introduce incoming freshmen and transfer students into the major. This course will incorporate the career exploration that…
Descriptors: Computer Science Education, Introductory Courses, Curriculum Design, College Freshmen
Pack, Della F. – ProQuest LLC, 2013
At the end of the Fall 2011 semester at Big Sandy Community and Technical College (BSCTC) a comparison of grade patterns in multiple CIS 100-Introduction to Computers courses was analyzed. This analysis found online courses returned a higher failure rate than those taught in a classroom setting. Why was there a difference? Is the platform of…
Descriptors: Community Colleges, Technical Institutes, Computer Science Education, Introductory Courses
Avancena, Aimee Theresa; Nishihara, Akinori; Vergara, John Paul – International Association for Development of the Information Society, 2012
This paper presents the online cognitive and algorithm tests, which were developed in order to determine if certain cognitive factors and fundamental algorithms correlate with the performance of students in their introductory computer science course. The tests were implemented among Management Information Systems majors from the Philippines and…
Descriptors: Foreign Countries, Computer Science Education, High School Students, College Students
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