Computer Science at Community Colleges: Attitudes and Trends

This study aimed to understand the identity and attitude of students enrolled in computer science (CS) or programming-related course at community colleges nationwide. This study quantitatively evaluation data for estimating the relationships between students’ identity and attitudes toward computer science with prior programming experience and other demographic factors. I distributed the survey to community college faculty of computer science programs nationwide. Questions for this study were adapted from the Computing Attitude Survey developed by Weibe, Williams, Yang, & Miller (2003). Using two robust quantitative statistical methodologies, I investigated the correlations and predictability of previous programming experience, gender, race, and age with participants\u27 attitudes toward computer science. This study drew its inspiration from prior works of Dorn and Tew (2015) and Chen, Haduong, Brennan, Sonnert, and Sadler (2018), whose studies looked at previous experiences in programming with a favorable attitude toward computer science. The primary independent variable was a students’ prior programming experience. Under evaluation, the dependent variables were students\u27 programming experience and demographic characteristics such as race, gender, and age. This investigation showed a significant association between programming experience and attitude toward computer science. Among the demographic variables evaluated, students\u27 racial identity was the only factor found highly correlated with attitudes toward computer science. Future work will consider the association between participants\u27 accumulated college credit hours and specific programming language effects on computer science attitudes

Investigating the Relationship Between the Internal Dynamics of Collaborative Learning and Academic Performance Among Students of E. P. College of Education, Bimbilla

The major thrust of the study was to find out the relationship between students’ perception of the internal dynamics of their collaborative learning context, effort made and their academic performance in E.P. College of Education, Bimbilla. One hundred and fifty students from the college were selected for the study through the purposive sampling technique. Questionnaire was used to obtain brief demographic information such as gender and age necessary for the study and the research questions. SPSS computer software was used for the data analysis. The Pearson Product Moment Correlation was used to analyze data for the correlations because all the data were measured on six point likert-scale. Although most respondents had high positive perception (90%) about the internal dynamics of their collaborative learning context, who also perceived their learning contexts in positive terms, there was hardly any relationship between perceptions of the internal dynamics of their collaborative learning groups and their academic performance. There was no correlation between academic performance and the internal dynamics variables except in the case of equal participation versus performance in science which has a correlation of 0.231, significant at 0.05. It was also found that students’ academic effort and grades in Mathematics, English and Science were hardly related. Keywords: Perception, effective learning, entry behavior, progress repor

The Analysis of Peer Reviews among First-year Computer Science College Students

In computer science, peer review, also referred to as code review, is known to be an efficient technique to ensure quality when developing software projects in various industries. Peer review is one method for encouraging computer scientists benefit from each other by providing them with the opportunity to evaluate other people’s work and to receive feedback on their own work. However, this method is not commonly used among first-year Computer Science college students, due to concerns with low-quality reviews and the reliability of review scores. This study analyzes the process of peer review among first-year Computer Science colleges students by examining 1,866 completed reviews and 1,733 back evaluations to answer the following questions: 1) how accurate are first-year student peer reviews, 2) is there a correlation between review quality and student’s overall performance in the course, 3) does the review score correlate the back evaluation score, 4) are differences in peer reviews related to demographics, and 5) what attitudes do students have toward peer review. The results show that high performing students provide higher quality review in design documents, and there are differences in review quality based on gender, but no significant differences based on class standing or majors. We also find that students moderately value peer reviews, and there is minimal to no correlations between review scores and back evaluation scores in Peerceptiv. These insights have implications on how peer review is executed and leaves us with open questions on how to maximize the function of peer review among first-year Computer Science college students

Development and Evaluation of the Nebraska Assessment of Computing Knowledge

One way to increase the quality of computing education research is to increase the quality of the measurement tools that are available to researchers, especially measures of students’ knowledge and skills. This paper represents a step toward increasing the number of available thoroughly-evaluated tests that can be used in computing education research by evaluating the psychometric properties of a multiple-choice test designed to differentiate undergraduate students in terms of their mastery of foundational computing concepts. Classical test theory and item response theory analyses are reported and indicate that the test is a reliable, psychometrically-sound instrument suitable for research with undergraduate students. Limitations and the importance of using standardized measures of learning in education research are discussed

Accounting students' IT applicaton skills over a 10-year period

This paper reports on the changing nature of a range of information technology (IT) application skills that students declare on entering an accounting degree over the period from 1996 to 2006. Accounting educators need to be aware of the IT skills students bring with them to university because of the implications this has for learning and teaching within the discipline and the importance of both general and specific IT skills within the practice and craft of accounting. Additionally, IT skills constitute a significant element within the portfolio of employability skills that are increasingly demanded by employers and emphasized within the overall Higher Education (HE) agenda. The analysis of students' reported IT application skills on entry to university, across a range of the most relevant areas of IT use in accounting, suggest that their skills have continued to improve over time. However, there are significant differential patterns of change through the years and within cohorts. The paper addresses the generalizability of these findings and discusses the implications of these factors for accounting educators, including the importance of recognising the differences that are potentially masked by the general increase in skills; the need for further research into the changing nature, and implications, of the gender gap in entrants' IT application skills; and the low levels of entrants' spreadsheet and database skills that are a cause for concern

Are females more helpless than males: an observational and attributional analysis in Maths and English : a thesis presented in partial fulfilment of the requirements for the degree of Master of Arts in Psychology at Massey University

The present study investigated the under-achievement and participation of females in mathematical areas within the context of the attribution theory. Gender differences for causal attributions and achievement-related beliefs were investigated in Maths and English, employing a methodology which allowed for the subjective construction of the situation by the student. Subjects were 97 form five Maths and English students (50 males and 47 females). Overall, there were no consistent gender differences in attributions for success and failure in Maths and English. Although males perceived themselves as more competent in Maths, there were no gender differences in achievement-related beliefs. However, females displayed more mastery-oriented cognitions in English . Additionally, the relationship of gender and teacher-student interactions in Maths and English classrooms were investigated, in an attempt to conceptualise the role they have in sustaining gender related behaviours. It was hypothesized that males and females were being treated differently in Maths and English, which in some way affects their attributions for achievement outcomes, and subsequent achievement­ related beliefs. Four classrooms (two Maths and two English) were observed for five hours each. Contrary to predictions, there were few significant differences in the contingencies of evaluative feedback given to students, with respect to its frequency, its typical referents, and the specificity of its use. The results were discussed in terms of their relationship to other studies, and the implications for past and future methods of studying students' causal attributions in mathematical and verbal achievement situations. Alternative mechanisms by which females self-derogating beliefs might inhibit their participation and achievement in maths-related areas were also considered

Links between the personalities, styles and performance in computer programming

There are repetitive patterns in strategies of manipulating source code. For example, modifying source code before acquiring knowledge of how a code works is a depth-first style and reading and understanding before modifying source code is a breadth-first style. To the extent we know there is no study on the influence of personality on them. The objective of this study is to understand the influence of personality on programming styles. We did a correlational study with 65 programmers at the University of Stuttgart. Academic achievement, programming experience, attitude towards programming and five personality factors were measured via self-assessed survey. The programming styles were asked in the survey or mined from the software repositories. Performance in programming was composed of bug-proneness of programmers which was mined from software repositories, the grades they got in a software project course and their estimate of their own programming ability. We did statistical analysis and found that Openness to Experience has a positive association with breadth-first style and Conscientiousness has a positive association with depth-first style. We also found that in addition to having more programming experience and better academic achievement, the styles of working depth-first and saving coarse-grained revisions improve performance in programming.Comment: 27 pages, 6 figure

The Longitudinal Effects of STEM Identity and Gender on Flourishing and Achievement in College Physics

Background. Drawing on social identity theory and positive psychology, this study investigated women’s responses to the social environment of physics classrooms. It also investigated STEM identity and gender disparities on academic achievement and flourishing in an undergraduate introductory physics course for STEM majors. 160 undergraduate students enrolled in an introductory physics course were administered a baseline survey with self-report measures on course belonging, physics identification, flourishing, and demographics at the beginning of the course and a post-survey at the end of the academic term. Students also completed force concept inventories and physics course grades were obtained from the registrar. Results. Women reported less course belonging and less physics identification than men. Physics identification and grades evidenced a longitudinal bidirectional relationship for all students (regardless of gender) such that when controlling for baseline physics knowledge: (a) students with higher physics identification were more likely to earn higher grades; and (b) students with higher grades evidenced more physics identification at the end of the term. Men scored higher on the force concept inventory than women, although no gender disparities emerged for course grades. For women, higher physics (versus lower) identification was associated with more positive changes in flourishing over the course of the term. High-identifying men showed the opposite pattern: negative change in flourishing was more strongly associated with high identifiers than low identifiers. Conclusions. Overall, this study underlines gender disparities in physics both in terms of belonging and physics knowledge. It suggests that strong STEM identity may be associated with academic performance and flourishing in undergraduate physics courses at the end of the term, particularly for women. A number of avenues for future research are discussed