Microcomputer Networks for Introductory Computer Science

The college students who have relatively weak academic background feel more difficult in learning programming language grammars and programming skills in introductory course. At the end of semester, most of students had the negative attitude to programming and only a few students could write the programs for the given problems because they spent most of time to learn grammars instead of learning problem solving skills and logics. In this study, we propose to use Scratch in introductory programming course to help students to understand grammars and problem solving skills. It's necessary to educate first-time programmers how to solve the problems before they learn grammars of the programming language in their first programming language course. This paper shows that Scratch allows students not only to learn problem solving skills in programming but also to motivate students themselves in the class.

This paper describes an action research for developing better algorithmic thinking in introductory programming courses. Enhancing algorithmic thinking and improving problem solving skills are the main objectives of such courses and are considered a significant success factor in future courses as well as future work achievements. Furthermore, failing to develop these skills, usually leads to failures in these introductory courses as well as the courses that follow. As part of this action research, that was performed during four semesters several course structures and learning tactics were examined. The evaluation methodology was simple and based only on the percentage of failing students. The success achieved was attributed to two main factors (1) using a visualization environment (Micro-world) for the whole duration of the course, which helped in understanding the more complex and abstract issues, and (2) using individual assignments that enforced better learning habits and development of individual algorithmic thinking. The paper describes the various attempts, as well as the final structure, that reduced the failing students by over 77%. This paper describes an action research for developing better algorithmic thinking in introductory programming courses. Enhancing algorithmic thinking and improving problem solving skills are the main objectives of such courses and are considered a significant success factor in future courses as well as future work achievements. Furthermore, failing to develop these skills, usually leads to failures in these introductory courses as well as the courses that follow. As part of this action research, that was performed during four semesters several course structures and learning tactics were examined. The evaluation methodology was simple and based only on the percentage of failing students. The success achieved was attributed to two main factors (1) using a visualization environment (Micro-world) for the whole duration of the course, which helped in understanding the more complex and abstract issues, and (2) using individual assignments that enforced better learning habits and development of individual algorithmic thinking. The paper describes the various attempts, as well as the final structure, that reduced the failing students by over 77%.

Problem solving skills are considered an integral part of grasping the precise concepts of the programming domain for novices in introductory programming (IP) courses. But these skills are mostly covered only in early lectures of such courses or are included in just a few early chapters of some relevant textbooks. Consequently, high failure and dropout rates are often reported in IP courses. In this study, we developed and introduced an application, called PROBSOL, which is designed to focus on, and enhance, novice programmers’ problem solving skills. Two versions of the application were developed, a web-based version and a mobile app. The applications were based on pseudo-code techniques. A survey was implemented to collect students’ feedback and semi-structured interviews were conducted to collect instructors’ opinion about the applications. Moreover, final exam grades over two semesters were compared to determine the impact of including the PROBSOL applications in the course. The results show that both students and instructors appreciated the applications and that their use supports students’ cognitive gains and engagement. Moreover, they promote students’ affective engagement in the IP course. The use of the applications improves novices’ programming understanding, logic capabilities and problem solving skills. However, students preferred the mobile version rather than the web-based version during the course. The comparison of students’ grades showed that the students’ achievements were improved and attrition rates were reduced after introducing the PROBSOL applications in the course.

High failure and drop-out rates from introductory programming courses continue to be of significant concern to computer science disciplines despite extensive research attempting to address the issue. In this study, we include the three entities of the didactic triangle, instructors, students and curriculum, to explore the learning difficulties that students encounter when studying introductory programming. We first explore students' perceptions of the barriers and affordances to learning programming. A survey is conducted with introductory programming students to get their feedback on the topics and associated learning resources in the introductory programming course. The instructors' perceptions are included by analyzing current teaching materials and assessment tools used in the course. As a result, an ADRI based approach is proposed to address the problems identified in the teaching and learning processes of an introductory programming course.

California State University Monterey Bay (CSUMB) uses an outcomes-based delivery philosophy and focuses on measurable student learning. Because of the required outcome it was determined that the students needed more scaffolding or metacognitive support than is typically afforded in the introductory programming courses. The students were simply not capable of making the jump from simple programming concepts to being able to deliver a satisfactory completed portfolio piece. This paper reports on a study that investigated use of pair programming as a delivery methodology for an introductory Java programming course

In this paper we describe our experiences of exporting our introductory programming courses to community colleges. We used Tutored Video Instruction (TVI) as the mode of instruction where recorded versions of our lectures were shown to groups of students with local instructors periodically stopping the lecture for questions and discussion. We have offered a total of 16 sections of TVI courses, 11 were of our first quarter programming course (CSE142), and 5 were of our second quarter programming course (CSE 143). The courses were offered at seven institutions. Approximately 180 students completed the courses.We identify factors which contributed positively and negatively to the use of TVI for introductory programming courses. The two most important changes to our TVI program based on these experiences will the use of studio produced lectures and the abandonment of centralized course administration.

The introductory programming course (IPC) holds a special significance in computing disciplines as this course serves as a prerequisite for studying the higher level courses. Students generally face difficulties during their initial stages of learning how to program. Continuous efforts are being made to examine this course for identifying potential improvements. This article presents the review of the state-of-the-art research exploring various components of IPC by examining sixty-six articles published between 2014 and 2020 in well-reputed research venues. The results reveal that several useful methods have been proposed to support teaching and learning in IPC. Moreover, the research in IPC presented useful ways to conduct assessments, and also demonstrated different techniques to examine improvements in the IPC contents. In addition, a variety of tools are evaluated to support the related course processes. Apart from the aforementioned facets, this research explores other interesting dimensions of IPC, such as collaborative learning, cognitive assessments, and performance predictions. In addition to reviewing the recent advancements in IPC, this study proposes a new taxonomy of IPC research dimensions. Furthermore, based on the successful practices that are listed in the literature, some useful guidelines and advices for instructors have also been reported in this article. Lastly, this review presents some pertinent open research issues to highlight the future dimensions for IPC researchers.

Teaching and learning in the introductory programming course can be difficult. Numerous studies address this problem with none resulting in a perfect approach for either students or instructors. The authors of this chapter found success in the introductory programming course by implementing problem-based learning and by delivering the entire course in the context of game design. While this approach has been successful in a face-to-face environment, the e-learning environment presents some challenges. This chapter describes successful pedagogical strategies for the introductory programming course and provides recommendations for their implementation in the e-learning environment.

We describe the evolution of an introductory programming course into an active learning format, thereby replacing the traditional textbook and online tutoring system with an integrative version. We find a strong positive correlation between the student achievement scores in the integrated online textbook exercises and quizzes as well as overall course achievement. However, we observe that the comparable performance is not across all learning assessment categories when comparing subsequent course offerings. Particularly, we note slightly lower average performance for programming assignments and quizzes in the flipped classroom offering. For this active learning format offering, we perceive that performing students have a higher average score in the interactive textbook environment and skipped fewer overall assignments than the lower performing learners. We additionally find that students performing well in the online self-guided hands-on programming exercises perform significantly better than their lower performing peers.

In our research, we have introduced and implemented a new software development method, testing before coding (TBC), to bring in the benefits of using software development lifecycle in computer programming and improved students program quality. TBC follows the basic concept of agile method (such as test-driven development, TDD) and makes students a "cultural shift" in developing their computer programs i.e., students must test their own codes and consider testing as an indispensable part of program development. Our method has been exercised in the introductory computer programming courses and has improved the students' programs quality at least 24%.

The teaching and learning of programming are often considered a difficult topic for both teachers and students, due to its complexity and abstract nature. The traditional teaching approaches are unable to contribute substantially to the development of the necessary cognitive models by the students, producing high rates of failure and dropout in introductory programming courses. In the last 30 years, the scientific community has not stopped looking for new pedagogical approaches and teaching techniques in introductory computer programming courses. Various studies have shown that pair programming under appropriate conditions may create an environment conducive to learning, leading to an increase student interest in programming. In this paper, the author presents the results of a pilot teaching intervention. The sample was collected among first-grade students of a high school in Greece. The results showed that the pair programming is more efficient than the solo programming, both on facilitating and supporting students' learning and understanding of basic programming concepts, as well as on improving students' attitudes toward programming.

In the authors' experience the languages available for teaching introductory computer programming courses are lacking.In practice, they violate some of the fundamentals taught in an introductory course.This is often the case, for example, with I/O.Picky is a new open source programming language created specifically for education that enables the students to program according to the principles laid down in class.It solves a number of issues the authors had to face while teaching introductory courses for several years in other languages.The language is small, simple and very strict regarding what is a legal program.It has a terse syntax and it is strongly typed and very restrictive.Both the compiler and the runtime include extra checks to provide safety features.The compiler generates byte-code for compatibility and the programming tools are freely available for Linux, MacOSX, Plan 9 from Bell Labs and Windows.This paper describes the language and discusses the motivation to implement it and its main educational features.

The Bologna process is intended to culminate in the formation of the European Higher Education Area (EHEA) by 2010. Its aim is to facilitate the mobility of people, the transparency and recognition of qualifications, quality and development of a European dimension to higher education, and the attractiveness of European institutions for third country students.This paper provides an overview of progress towards implementation in EHEA member states using official documents and interview data from faculty teaching computing in countries represented at the ITiCSE 2006 meeting. The key areas where the structures established by the Bologna process are problematic for computing education arise from the rapidly changing nature of the curriculum. It seems that the maturity and capability criteria, as well as the manner in which learning outcomes are specified, being developed within the Bologna process are too general. This endangers the properties of transparency and mobility that the process intends to promote.Progression and prerequisite knowledge in computing degrees can be very specific. For instance, generic learning outcomes for an introductory programming course quite rightly will not specify the programming language, or languages, used to implement algorithms. However, suppose a student intends to study an advanced algorithms and data structures course in which Java is the language of implementation which has an introductory course in programming as a prerequisite. If the introductory course language was Standard ML it is not clear that the prerequisite course actually provides the student with a suitable background. These types of complexities are typical of computing, where early subject curricula are not standardised nationally or internationally, and create significant hurdles for realising the Bologna objectives.

Introductory programming courses are unique in that they typically represent the studentpsilas first technical experience in computer and electrical engineering curriculum. The presentation of these courses is important because the impressions students form from these courses stay with them throughout their college experience and beyond. This paper describes an embedded system-based introductory programming course designed specifically to support the specific needs of computer and electrical engineering students. This course replaces a similar course taught from primarily a computer science perspective by changing the course context to a hardware-based embedded environment. The embedded system environment fully supports the learning outcomes of the computer science-based programming course but also accustoms students to the nuances of embedded systems that would otherwise require introduction in later coursework. The hardware nature of this course provides students with an introduction to interfacing basic and common I/O devices typically available on microcontroller-based hardware platforms. The presentation of this course also mitigates traditional cultural differences between computer science and engineering-based approaches to curriculum that can have a negative impact on students in their perspective majors.

Computer programming is considered as a difficult area of study for novices. One of the reasons is the main focus of the curriculum presented in an introductory programming (IP) course which emphasizes more on the programming knowledge (syntax and semantic) of the programming language. This study introduced a new teaching curriculum in the IP course which focuses on different skills required by the novices. We compared the IP course materials based on the traditional and new approaches against five categories. The result shows that the new approach encourages both the programming knowledge and problem solving strategies, and promotes deep learning. Furthermore, it discourages programming shortcut (Problem statement → Code), and support three-step approach (Problem statement → Solution Plans → Code) in solving a problem statement. The new approach also promotes algorithmic thinking in the IP course by paying equal attention on the problem solving strategies.