A Blended Learning Approach for an Introductory Computer Science Course

ABSTRACTBackground and Context: The relationship between novices’ first programming language and their future achievement has drawn increasing interest owing to recent efforts to expand K–12 computing education. This article contributes to this topic by analyzing data from a retrospective study of more than 10,000 undergraduates enrolled in introductory computer science courses at 118 U.S. institutions of higher education.Objective: We explored the relationship between students’ first programming languages and both their final grades in an introductory computer science course and their attitudes about programming.Method: Multiple matching techniques compared those whose first language was graphical (e.g., Scratch), textual (e.g., Java), or absent prior to college.Findings: Having any prior programming experience had positive effects on both attitudes about programming and grades in introductory computer science courses. Importantly, students whose first language was graphical had higher grades than did students whose first language was textual, when the languages were introduced in or before early adolescent years.Implications: Learning any computer language is better than learning none. If programming is to be taught to students before early adolescence, it is advised to start with a graphical language. Future work should investigate the transition between different types of programming languages.

The pipeline of three introductory computer science courses at our university have low pass rates. As part of our efforts to improve the pass rates in these courses, we examine the students' mathematics preparation and their progress from one course to the next. We find that the minority of students who enter the university with good mathematics preparation are likely to succeed in our introductory computer science courses. For the majority of students, we suggest a series of interventions throughout the pipeline. Prior to taking Computer Science 1, students could gain more experience with problem solving during the Introduction to Computer Science and Introduction to Computer Engineering courses. We suggest adding precalculus as a prerequisite for Computer Science 2. For students who do not earn an A in Computer Science 2, we plan to examine whether taking a class in a second programming language before taking Computer Science 3 will improve performance in Computer Science 3. Our goal is to improve student learning and retention through these efforts, combined with continual innovation in the classroom.

As part of an ongoing initiative to continually revise and improve its introductory computer science courses, the Electrical Engineering and Computer Science Department at the United States Military Academy has added the use of LEGO Mindstorm robots as part of the active-learning environment used to teach Information Technology (IT) and programming basics. It is critical for the Army and the Nation that its future leaders understand and are capable of taking advantage of IT. All cadets at the United States Military Academy at West Point are required to take a course on IT and problem solving using computer programming. This course is an important first, and sometimes only, opportunity to expose undergraduate students to technology and concepts that will be a part of their daily lives and future careers. The LEGO Mindstorm robots are used in the introductory computer science course to teach fundamental, computer programming concepts and introduce the concepts of autonomous vehicles, embedded computer systems and computer simulation. The positive short-term impact on the students taking the course has been substantial and while the long-term impact has yet to be measured, it also has the potential to be substantial. Members of the faculty at West Point developed a computer simulation of the robot environment as well as a Java programming language translator for the LEGO programmable brick, called the RCX. These two tools are combined into a unique programming and teaching environment that we named Jago. Jago enables the robots and robot simulator to be used to teach fundamental programming concepts visually, which some students can more easily grasp and all are clearly excited to use. Based on these results we have incorporated Jago into the core IT course taught at West Point.

Students in today's introductory Computer Science courses are often already experienced with sophisticated collaborative technologies and social computing systems. Among these popular systems are the online community building and information sharing sites that have become an intrinsic part of a new cyber-culture that continues to emerge. The involvement of students in collaborative technologies can be responsible in some cases for why certain students are inspired to pursue careers in computing disciplines. Yet very few CS 1 and CS 2 textbooks contain content related to collaborative software systems, presumably because of the extreme complexity involved in developing software that communicates with other software over a network. While social computing activities are very popular, the fact that it is not very prevalent in CS 1 and CS 2 course material can discourage students who have particular interest in that area of computing. In this paper, I present a system that I have developed that offers a simple way to incorporate class work and projects that involve collaborative networking and social computing paradigms at the level of introductory Computer Science courses.

This study investigated whether student academic achievement in college computer science programs in Taiwan could be predicted by factors reported to be effective in U.S. studies. Subjects were 940 college students enrolled in five universities offering computer science programs. A correlation study was conducted and prediction models were established. The predictive powers of college entrance examination (CEE) scores in relation to subsequent college performance appeared to be limited. Overall high school achievement and math course averages were identified as effective performance predictors. The close relationship between performance in introductory computer science courses and performance in complete computer science programs was validated. Significant linear prediction models with limited predictive powers were generated for overall performance but not for introductory computer science course performance. Model predictive powers were significantly improved when performance in introductory computer science courses was included in the models. No significant gender differences were found for CEE performance. However, female subjects outperformed male counterparts in course performance at both the high school and college levels.

Many colleges and universities offer an introductory computer science course based on a specific programming language. The Department of Computer Science at the University of Kansas has recently reorganized its introductory computer science course to include such topics as algorithms, top-down algorithmic design, elementary programming techniques, and introduction to time-sharing. Besides the discussion of this transition, the paper discusses a questionaire that was developed and utilized during this transition. It is hoped that others will benefit from our experiences.

We look at the essential thinking skills students need to learn in the introductory computer science course based on object-oriented programming. We create a framework for such a course based on the elementary programming and design patterns. Some of these patterns are known in the pattern community, others enrich the collection. Our goal is to help students focus on mastering reasoning and design skills before the language idiosynchracies muddy the water.

There are numerous ways to evaluate student programming ability, all of which have benefits and drawbacks. In this paper we discuss how we have combined a number of those evaluation techniques to assess student programming ability in an introductory computer science course and statistically analyze the relationships of student performance using the different evaluation techniques.

Full Paper. Research. We discuss possible ways to direct students to right level of introductory programming. While many schools offer college preparatory or advanced placement courses in computing, there is still, unfortunately, a large part of the college-ready population that has no opportunity to learn computing at all before they arrive. Regulation of CS education at the state/province or national level is still rare (but growing). Thus incoming students possess a wide range of skills and knowledge. When coupled with increasing enrollments, this diversity of experience can result in courses having large numbers of both absolute beginners and seasoned coders. Such courses are difficult to teach, intimidate novice students, and bore those with more experience. This can result in low engagement and retention.Unlike mathematics and language arts, introductory courses in CS vary widely from one institution to another in both conceptual material and programming language used. A standard point of entry to college mathematics is a calculus course, with some students instead starting earlier with pre-calculus or an algebra refresher, and others starting out in the second-term calculus course. There is rarely a concern about student skill being hidden by notational or other language differences, because the language of mathematics is close to universal. Similarly, freshman language arts courses in reading and/or writing assume a certain level of skill and maturity of comprehension and expressiveness in the target language; otherwise remedial courses are provided.We investigate placement of incoming first year students into appropriate introductory computer science courses at higher education institutions where there is more than one choice of first course. The goal is to determine the best way to decide which first course would be the most helpful for each student.

The enrollment in introductory computer science courses has been growing steadily for the last couple of years. Interest in the field is exploding across the nation. Colleges and universities of all shapes and sizes have seen enrollment in introductory computer science courses and to some extent in upper-division electives explode as well. Most R1 institutions handle such growth through the use of graduate TAs to teach CS1 courses. Many primarily undergraduate and/or liberal arts institutions don't have these resources, however. Complicating the scenario further, students coming to these non-research institutions expect personal interaction, are from a growingly diverse set of high-school graduates and seem to be less prepared for college than ever. Given the current funding climate for higher education, it is difficult to imagine how most universities and colleges will be able to negotiate this scenario. This BOF will provide a platform to discuss how to handle the growing, diverse, and uninitiated CS1 enrollment from many perspectives - individual, departmental, and institutional. What creative solutions can be brought to improve institutional motivation and how do we ensure that traditionally under-represented groups don't get left behind in the onslaught?

The help-seeking interactions faculty encounter will vary depending upon the course structure and the students enrolled. While the course structure tends to remain the same, the students enrolled change each semester, presenting a new set of students who seek help in many different ways. We share our observations in investigating student behavior when using course resources, including office hours and online discussion forums, in two introductory computer science courses. Our goal is to explore differences in help-seeking behavior to construct Student "Help-Seeking" Personas. Preliminary analysis has shown that, for these two introductory CS courses, there are no well-defined personas that emerge from the grouping of help-seeking behaviors. The demographic of students exhibiting various help-seeking behaviors tends to be a near-proportionate subset of the overall course demographic. Thus, no distinct personas emerge from the students' help-seeking behaviors in introductory CS courses that faculty can utilize to better understand their students.

It is common knowledge that enrollments in computer science have plummeted and educators are challenged to find ways to engage and promote success and retention of students while maintaining standards in introductory computer science courses. This study focuses on the implementation of a collaborative, modified peer-led team learning (PLTL) instructional approach in a large sized introductory computer science course. The site is a major southeastern university in the United States where all students are required to take one of three introductory computer science classes. The course version selected for this study specifically targets computer science majors and the study spans three years of data, and involves 591 students. Students who experienced the student-centered instruction and worked in small groups facilitated by a peer leader (treatment) in years 2006-07 and 2007-08 were compared with students who experienced a traditional recitation lecture section (control) in 2005-06. The content and the course owner was the same for all three years. Quantitative data analysis show marked and statistically significant improvements in student performance, for both male and female students. These findings suggest that using undergraduate leaders to implement a peer-led team learning model can be as effective in promoting achievement and retention in computer science education as it has shown to be in math and science classes over the past several years.

article A comparison of Ada and Pascal in an introductory computer science course Share on Authors: Jeanne L. Murtagh Software Professional Development Program, Air Force Institute of Technology, Wright-Patterson AFB, OH Software Professional Development Program, Air Force Institute of Technology, Wright-Patterson AFB, OHView Profile , John A. Hamilton D/Electrical Engineering & Computer Science, United States Military Academy, West Point, NY D/Electrical Engineering & Computer Science, United States Military Academy, West Point, NYView Profile Authors Info & Claims ACM SIGAda Ada LettersVolume XVIIIIssue 6Nov./Dec. 1998 pp 75–80https://doi.org/10.1145/301687.289535Online:01 November 1998Publication History 1citation275DownloadsMetricsTotal Citations1Total Downloads275Last 12 Months7Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

The work presented in this paper aims to support and promote the learning process in introductory computer science courses through the Web-based, adaptive, activity-oriented learning environment known as Supporting Collaboration and Adaptation in a Learning Environment (SCALE). The environment engages students actively in the learning process and supports them with multiple informative and tutoring feedback components. The exploitation of appropriately developed educational material, which was provided through SCALE, showed that SCALE can be a valuable tool for supporting the learning process in introductory computer science courses.

A step-by-step presentation for the introductory computer science course which introduces the student to structured problem solving has been developed. By emphasizing the importance of “finding the pattern” and developing sequential algorithms from a top-down point of view, the students seem to have a better grasp on how to solve a problem, how to use a language, and how to apply what they have learned to later courses which use the computer.