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Lasater, Robert S.; Joseph, Anny-Claude; Cummiskey, Kevin – Teaching Statistics: An International Journal for Teachers, 2023
In this paper, we provide instructors with an approach for a classroom activity for students in an introductory data science or statistics course who have little or no statistical programming experience. We designed this activity to help students improve their statistical literacy while exploring a social justice problem-the gender wage gap. To…
Descriptors: Gender Differences, Salary Wage Differentials, Visual Aids, Statistics Education
Ian Patrick Heraty – ProQuest LLC, 2023
This dissertation was a comparative study of computer science in secondary schools in both Ireland and the United States. Computer science was a new subject compared to more established subjects in both Ireland and the United States. This dissertation looked at how this subject could be accessed by students in both countries. I used a document…
Descriptors: Computer Science Education, Comparative Education, High School Students, Foreign Countries
Yong, Su Ting; Tiong, Kung Ming; Chan, Andy; Khiew, Poi Sim – International Journal of Virtual and Personal Learning Environments, 2021
This study explored students' perceptions of a flipped classroom for an introductory programming class. Students were required to watch video lectures and read lecture notes in advance (pre-class self-study) to prepare themselves for the in-class lectures and tutorials. A mix-methods approach was employed: quantitative survey (n=204) and…
Descriptors: Flipped Classroom, Learning Experience, Programming, Student Attitudes
Riese, Emma; Stenbom, Stefan – IEEE Transactions on Education, 2023
Contribution: This study evaluates the generalizability of previously identified perceptions among engineering students of assessments in introductory programming (CS1). The students' perceptions of their instructors' and teaching assistants' (TAs) roles in these assessments are also studied, and differences based on prior programming experience,…
Descriptors: Student Attitudes, Educational Experience, Computer Science Education, Student Evaluation
Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
Malik, Sohail Iqbal; Coldwell-Neilson, Jo – Education and Information Technologies, 2018
This study reports on gender differences in an introductory programming (IP) course that uses a new teaching and learning approach based on the ADRI (Approach, Deployment, Result, Improvement) model. The teaching materials of the IP course were redesigned based on the new approach. The grades of the final exam were compared to determine the impact…
Descriptors: Gender Differences, Introductory Courses, Programming, Teaching Methods
Smith, Max O.; Giugliano, Andrew; DeOrio, Andrew – IEEE Transactions on Education, 2018
Contribution: This paper provides evidence for the benefits of pair programming early in the curriculum on student performance later in the curriculum. It also confirms the short term benefits of partnerships at scale. Background: Engineers often work in teams, both in industry and in academia. Previous work has shown that partnered programming…
Descriptors: Programming, Teamwork, Computer Science Education, Grade Point Average
da Silva, Henrique Alvarenga; Moura, Alexandre Sampaio – Journal of Statistics Education, 2020
Biostatistics is a critical skill to physicians in an evidence-based medicine era, but teaching basic statistical concepts is challenging. Students often experience anxiety caused by the complexity of statistics and might express negative attitudes toward the subject. We aimed to analyze the effect of an introductory biostatistics course using…
Descriptors: Introductory Courses, Medical Schools, Gender Differences, Statistics
Ayalew, Yirsaw; Tshukudu, Ethel; Lefoane, Moemedi – African Journal of Research in Mathematics, Science and Technology Education, 2018
One of the challenges encountered in programming courses offered at first year level is high failure rate, which is a serious concern to lecturers and university management. To address the issue of high failure rate, it is important to have a clear understanding of the factors that may affect performance. This study investigates the effect of…
Descriptors: Foreign Countries, College Freshmen, Programming, Computer Science Education
Sapounidis, Theodosios; Stamovlasis, Dimitrios; Demetriadis, Stavros – IEEE Transactions on Education, 2019
Contribution: Prior studies on tangible versus graphical user interfaces have reported controversial findings concerning children's preferences. This paper shows that their preference profiles in the domain of introductory programming are associated with gender and age for both interfaces. Background: The relevant literature mainly consists of…
Descriptors: Preferences, Profiles, Robotics, Introductory Courses
Simkin, Mark; Stiver, Debra – Journal of Education for Business, 2016
Allowing students to grade their own homework promises many advantages. But can students perform such grading tasks honestly and accurately? Also, do such assessments vary by gender? To answer these questions, the authors analyzed the homework scores of 266 students in seven introductory programming classes. The statistical results were favorable…
Descriptors: Homework, Self Evaluation (Individuals), Student Evaluation, Gender Differences
Crues, R. Wes; Henricks, Genevieve M.; Perry, Michelle; Bhat, Suma; Anderson, Carolyn J.; Shaik, Najmuddin; Angrave, Lawrence – ACM Transactions on Computing Education, 2018
Massive Open Online Courses (MOOCs)--in part, because of their free, flexible, and relatively anonymous nature--may provide a means for helping overcome the large gender gap in Computer Science (CS). This study examines why women and men chose to enroll in a CS MOOC and how this is related to successful behavior in the course by (a) using k-means…
Descriptors: Online Courses, Computer Science Education, Persistence, Gender Differences
Silva-Maceda, Gabriela; Arjona-Villicaña, P. David; Castillo-Barrera, F. Edgar – IEEE Transactions on Education, 2016
Learning to program is a complex task, and the impact of different pedagogical approaches to teach this skill has been hard to measure. This study examined the performance data of seven cohorts of students (N = 1168) learning programming under three different pedagogical approaches. These pedagogical approaches varied either in the length of the…
Descriptors: Programming, Teaching Methods, Intermode Differences, Cohort Analysis
Qian, Yizhou; Lehman, James D. – Journal of Education and Learning, 2016
The demand for computing professionals in the workplace has led to increased attention to computer science education, and introductory computer science courses have been introduced at different levels of education. This study investigated the relationship between gender, academic performance in non-programming subjects, and programming learning…
Descriptors: Correlation, Introductory Courses, Success, Middle School Students
Benotti, Luciana; Martinez, Maria Cecilia; Schapachnik, Fernando – IEEE Transactions on Learning Technologies, 2018
In this paper we present a software platform called Chatbot designed to introduce high school students to Computer Science (CS) concepts in an innovative way: by programming chatbots. A chatbot is a bot that can be programmed to have a conversation with a human or robotic partner in some natural language such as English or Spanish. While…
Descriptors: Formative Evaluation, Introductory Courses, Computer Science, High School Students
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