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This study is a follow-up to one published in computer science education in 2010 that reported preliminary results showing a positive impact of service learning on student attitudes associated with success and retention in computer science. That paper described how service learning was incorporated into a computer science course in the context of the Students & Technology in Academia, Research, and Service (STARS) Alliance, an NSF-supported broadening participation in computing initiative that aims to diversify the computer science pipeline through innovative pedagogy and inter-institutional partnerships. The current paper describes how the STARS Alliance has expanded to diverse institutions, all using service learning as a vehicle for broadening participation in computing and enhancing attitudes and behaviors associated with student success. Results supported the STARS model of service learning for enhancing computing efficacy and computing commitment and for providing diverse students with many personal...

Computer game development has been shown to be an effective hook for motivating students to learn both introductory and advanced computer science topics. While games can be made from scratch, to simplify the programming required game development often uses game engines that handle complicated or frequently used components of the game. These game engines present the opportunity to strengthen programming skills and expose students to a range of fundamental computer science topics. While educational efforts have been effective in using game engines to improve computer science education, there have been no published papers describing and evaluating students building a game engine from scratch as part of their course work. This paper presents the Dragonfly-approach in which students build a fully functional game engine from scratch and make a game using their engine as part of a junior-level course. Details on the programming projects are presented, as well as an evaluation of the results from two offerings th...

In today's technology-laden society human – computer interaction (HCI) is an important knowledge area for computer scientists and software engineers. This paper surveys existing approaches to incorporate HCI into computer science (CS) and such related issues as the perceived gap between the interests of the HCI community and the needs of CS educators. It presents several implementations of the HCI subset of the CC′01 curricular guidelines, targeting CS educators with varying degrees of HCI expertise. These implementations include course/module outlines from freshman to graduate levels, suggested texts, and project ideas and issues, such as programming languages and environments. Most importantly, each outline incorporates Bloom's taxonomy to identify the depth of knowledge to be mastered by students. This paper condenses collaborative contributions of 26 HCI/CS educators aiming to improve HCI coverage in mainstream CS curricula.

Coming from architecture, through computer science, pattern-based design spread into other disciplines and is nowadays recognized as a powerful way of capturing and reusing effective design practice. However, current pedagogical pattern approaches lack widespread adoption, both by users and authors, and are still limited to individual initiatives. This paper contributes to creating a shared understanding of what a pattern system is by defining the key terms. Moreover, the paper builds upon and extends a set of existing functional and non-functional requirements for pattern systems, adds structure to these requirements, and derives essential use cases following a goal-based approach for both pattern maintenance and pattern application. Finally, implications concerning the pedagogical use of pattern-based design are drawn, concluding that a stronger focus on the underlying (pedagogical) value system is required in order to make a pattern system a meaningful tool for effective educational design.

Advanced approaches to the construction of software systems can present difficulties to learners. This is true for multi-agent systems (MAS) which exhibit concurrency, non-determinacy of structure and composition and sometimes emergent behavior characteristics. Additional barriers exist for learners because mainstream MAS technology is young and design methodologies are still evolving. This paper considers the benefits and difficulties associated with teaching/learning agent technology and recommends an approach used by the authors. The paper examines Agent UML - a set of proposed extensions to UML to facilitate MAS design but suggests that simpler design tools are more appropriate for novice MAS programmers. A small suite of preferred tools are presented.

This paper examines the needs of students who, in the past, may have chosen to major in computer science or some other aspect of information technology as a way of achieving the goal of finding a job in the computer graphics field. The growth in computer graphics has lead to increased job opportunities in the industry. However, these jobs require fluency in both art and computing that an individual course or even a sequence of several courses cannot provide. In the past, there has been discussion of curricula for isolated graphics courses as part of a BS/CS degree, but industry demands more preparation than what one or two courses can deliver. This paper surveys and compares the two extant Bachelor of Science degrees in Computer Graphics with the intent of encouraging dialog on the possibility of a four-year curriculum supporting this discipline.

Computing has become highly visual as interactive programs become increasingly prevalent. Computer science students need to be able to create effective visual displays as part of interface implementation. This paper describes a course covering graphic design topics relevant to computer science students. In this course, students learn the basic visual elements, the visual organizational principles and how to use them in the context of the digital page. The other topics of this paper are the presentation of course information to the computer science student, the implementation of the course information as praxis, course project construction, and a method for critiquing student projects. Curriculum Integration will also be discussed as a feature towards achieving a seamless and collaborative experience.

The current educational climate provides both incentives and pressures to extend the use of information technology in university teaching. The computer science discipline is ideally placed to take a leading role in the development of technology-based teaching tools. In recent times the technological resources available for such initiatives have also taken a leap forward, not least with the release of the rapidly developing Java language. This paper reports on one such initiative—the development of a system for providing automatic feedback on computer science laboratory work and monitoring student progress. The paper outlines the goals of the system and shows that the collection of facilities afforded by the Java language provides a strong foundation for the development of software for securely analyzing student code.

University courses in Computer Science (CS) and Information Systems (IS) are often criticized by industry for concentrating on conceptual learning while failing to provide their students with experience and grounding in managerial skills. This paper describes and discusses an innovative course In this paper the term “course” will be used to refer to a single integrated unit of study. In New Zealand such units are often referred to as “papers”. These courses can be combined together, according to various rules, to form a “course of study” which will lead to a qualification. At Massey University, a degree is comprised of 24 such courses.structure which has been developed in order to ground the teaching of IS management theory in its local context by interlinking practical projects and case studies in local organizations. The student projects are used to generate a large “cross-sectional” case study which describes several IS management problems that are occurring simultaneously in the same organization. Stu...

Despite the current growing popularity of the computer science (CS) major, women remain sorely underrepresented in the field, continuing to earn only 18% of bachelor’s degrees. Understanding women’s low rates of participation in CS is important given that the demand for individuals with CS training has grown sharply in recent years. Attracting and retaining more women to high-paying fields like CS may also help narrow the gender pay gap. Further, it is important that women participate in developing new technology so that technology advances serve the needs of both women and men. This paper explores the background characteristics, career aspirations, and self-perceptions of 1636 female first-year college students in the United States who intend to major in CS and compares them with 4402 male CS aspirants as well as with 26,642 women planning to major in other STEM sub-fields. The findings reveal a unique profile of women who pursue the CS major and notes many significant differences between men and...

Through a cross‐disciplinary approach, two researchers solved the problem of poorly written term papers in the computer science curriculum. Using software engineering techniques, students produced focused, well‐organized, well‐formatted papers, some of publishable quality. The three‐step assignment taught time and research management, organization, and accepted formatting style. The researchers developed supplemental materials to help students create and then assess their work. Any Computer Science teacher at any university level can use the material if a Writing Across the Curriculum (WAC) program exists or if the instructor has sufficient rhetorical skills.

This paper describes the development, validation, and uses of the Collaborative Computing Observation Instrument (C-COI), a web-based analysis instrument that classifies individual and/or collaborative behaviors of students during computing problem-solving (e.g. coding, programming). The C-COI analyzes data gathered through video and audio screen recording software that captures students’ computer screens as they program, and their conversations with their peers or adults. The instrument allows researchers to organize and quantify these data to track behavioral patterns that could be further analyzed for deeper understanding of persistence and/or collaborative interactions. The article provides a rationale for the C-COI including the development of a theoretical framework for measuring collaborative interactions in computer-mediated environments. This theoretical framework relied on the computer-supported collaborative learning literature related to adaptive help seeking, the joint problem-solving...

This article explores the suitability of static analysis techniques based on the abstract syntax tree (AST) for the automated assessment of early/mid degree level programming. Focus is on fairness, timeliness and consistency of grades and feedback. Following investigation into manual marking practises, including a survey of markers, the assessment of 97 student Java programming submissions is automated using static analysis rules. Initially, no correlation between human provided marks and rule violations is found. This paper investigates why, and considers several improvements to the approaches used for applying static analysis rules. New methods for application are explored and the resulting technique is applied to a second exercise with 95 submissions. The results show a stronger positive correlation with manual assessment, whilst retaining advantages in terms of time cost, pedagogic advantages and instant feedback. This study provides insight into the differences between human assessment and st...

Computer programming students need to develop an early awareness of execution time considerations. All decisions related to selection of data structures and construction of code should account for timing, yet students have few intellectual tools adequate for the task. This paper provides a simple methodology that enables college freshmen to model programs and derive bounds for their execution times. The methodology begins with a study of the program of interest and the construction of a model of its control structure. Then the syntactic parse of the model, using seven rules given in the paper, generates as a side effect the bounding time formula for the original program. Several examples are included to demonstrate the method.

The need for computing education in the K-12 curriculum has grown globally. The Republic of Korea is not an exception. In response to the need, the Korean Ministry of Education has announced an outline for software-centric computing education in the K-12 system, which aims at enhancing the current computing education with software emphasis. In this paper, we review the outline from a higher education perspective and provide insights into its constructive improvement based on our experience in computer science education in higher education and a study of global initiatives on computing education. We also consider the social environment for computing education in Korea. In the proposed implementation, we first discuss goals for software-centric computing education and identify areas of focus. The identified areas are discussed in terms of topics to be covered and appropriate exposure of knowledge depth in the three levels in the Korean K-12 system. We then discuss necessary preparations for the success of t...

Pair programming is a software development technique with many cited benefits in learning and teaching. However, it is reported that novice programmers find several barriers to pairing up, typically due to the added communication that is required of this approach. This paper will present a literature review discussing the issue of communication, and through a series of observations with industry-based pairs, will derive a set of guidelines which aim to help novice pairs experience better communication within their pairs. An evaluation of the guidelines with undergraduate students is then reported, showing that exposure to these guidelines improved the self-perceived communication experience of novice pairs.

Submitted by Christina Chavez (flach@ufba.br) on 2020-12-07T17:42:07Z No. of bitstreams: 1 preprint_CSE_2015-DeboraCoelho-journal.pdf: 846247 bytes, checksum: ceeb12b24683cb10b1345563f2b7e27e (MD5) Approved for entry into archive by Solange Rocha (soluny@gmail.com) on 2020-12-10T23:18:13Z (GMT) No. of bitstreams: 1 preprint_CSE_2015-DeboraCoelho-journal.pdf: 846247 bytes, checksum: ceeb12b24683cb10b1345563f2b7e27e (MD5) Made available in DSpace on 2020-12-10T23:18:13Z (GMT). No. of bitstreams: 1 preprint_CSE_2015-DeboraCoelho-journal.pdf: 846247 bytes, checksum: ceeb12b24683cb10b1345563f2b7e27e (MD5) Previous issue date: 2015-05-12 Context: It is common practice in academia to have students work with “toy” projects in software engineering (SE) courses. One way to make such courses more realistic and reduce the gap between academic courses and industry needs is getting students involved in open source projects (OSP) with faculty supervision. Objective: This study aims to summarize the literature on how OSP have been used to facilitate students’ learning of SE. Method: A systematic mapping study was undertaken by identifying, filtering and classifying primary studies using a predefined strategy. Results: 72 papers were selected and classified. The main results were: (a) most studies focused on comprehensive SE courses, although some dealt with specific areas; (b) the most prevalent approach was the traditional project method; (c) studies’ general goals were: learning SE concepts and principles by using OSP, learning open source software or both; (d) most studies tried out ideas in regular courses within the curriculum; (e) in general, students had to work with predefined projects; (f) there was a balance between approaches where instructors had either inside control or no control on the activities performed by students; (g) when learning was assessed, software artefacts, reports and presentations were the main instruments used by teachers, while surveys were widely used for students’ self-assessment; (h) most studies were published in the last seven years. Conclusions: The resulting map gives an overview of the existing initiatives in this context and shows gaps where further research can be pursued. London

Teaching the fundamentals of robotics to computer science undergraduates requires designing a well-balanced curriculum that is complemented with hands-on applications on a platform that allows rapid construction of complex robots, and implementation of sophisticated algorithms. This paper describes such an elective introductory course where the Lego Mindstorms NXT kits are used as the robot platform. The aims, scope and contents of the course are presented, and the design of the laboratory sessions as well as the term projects, which address several core problems of robotics and artificial intelligence simultaneously, are explained in detail.

This paper reports on a series of introductory programming workshops, initially targeting female high school students, which utilised Lego Mindstorms robots. Cognitive load theory (CLT) was applied to the instructional design of the workshops, and a controlled experiment was also conducted investigating aspects of the interface. Results indicated that a truncated interface led to better learning by novice programmers as measured by test performance by participants, as well as enhanced shifts in self-efficacy and lowered perception of difficulty. There was also a transfer effect to another programming environment (Alice). It is argued that the results indicate that for novice programmers, the mere presence on-screen of additional (redundant) entities acts as a form of tacit distraction, thus impeding learning. The utility of CLT to analyse, design and deliver aspects of computer programming environments and instructional materials is discussed.

Modern robots, like today’s smartphones, are complex devices with intricate software systems. Introductory robot programming courses must evolve to reflect this reality, by teaching students to make use of the sophisticated tools their robots provide rather than reimplementing basic algorithms. This paper focuses on teaching with Tekkotsu, an open source robot application development framework designed specifically for education. But, the curriculum described here can also be taught using ROS, the Robot Operating System that is now widely used for robotics research.

Peer assessment is a powerful educational technique that provides significant benefits to both staff and students. Traditionally, peer assessment has been conducted using pen-and-paper in small classes. More recently, online tools have been developed to enable peer assessment to be applied in large class. In this article, the tools that support peer assessment are reviewed and analysed, revealing the common features and significant differences. Future directions for research on peer assessment tools are suggested.

This paper analyses the teaching and learning of computing in a Web-conferencing environment. A discourse analysis of three introductory programming learning episodes is presented to demonstrate issues and effects that arise when teaching computing using such an approach. The subject of discussion, the interactive nature of discussion and any actions performed by both the teacher and students were coded in order to determine how the approach to teaching impacted upon discourse. Student participation increased under student-centred approaches as the responsibility for the direction of curriculum-based discussion was devolved from the teacher to the students. However, teacher-led approaches incurred less of a collaborative overhead relating to coordinating activity between people and operating the technology. The data analysed and the approach adopted represent a subset of outputs from a PhD thesis investigating the teaching and learning of computer programming using Web-conferencing.

The paper describes an empirical study with the aim of producing insights about how students experience programming and software engineering. The research aims to investigate the students’ world, ...

This paper builds on previous research into teachers' conceptions of learning and teaching with an investigation of information technology academics. Using a phenomenographic approach to build a model of IT academics experiences and practice of teaching we aimed to identify any specific issues that academics in the IT discipline face and to assess the impact of the changing higher education environment on their teaching experiences. While there were few discipline-specific issues we did find that the current higher education environment appears to be negatively affecting the quality of teaching and learning within the IT discipline and indications are that these environmental factors are affecting academics within other disciplines. We concluded that current institutional policies, including teaching and learning quality measures and lack of resources, are compromising the way subjects are delivered. In some cases academics are discouraged from improving their teaching practice.

ion is a major concept in computer science and serves as a powerful tool in software development. Pattern-oriented instruction (POI) is a pedagogical approach that incorporates patterns in an introductory computer science course in order to structure the learning of algorithmic problem solving. This paper examines abstraction processes in the course of solving an algorithmic problem and highlights three distinct, although interrelated, facets of abstraction: pattern recognition, black-boxing, and structure identification. A study that examined the influence of the POI approach on students' abstraction skills is described; students who learned according to the POI approach were compared with students who learned in a traditional manner with regard to analogical reasoning and problem decomposition and solution, as well as verbal expression. The three facets of abstraction were used to analyze students' abstraction skills and their competency in algorithmic problem solving.

This paper reviews the literature related to the learning and teaching of debugging computer programs. Debugging is an important skill that continues to be both difficult for novice programmers to learn and challenging for computer science educators to teach. These challenges persist despite a wealth of important research on the subject dating back as far as the mid 1970s. Although the tools and languages novices use for writing programs today are notably different from those employed decades earlier, the basic problem-solving and pragmatic skills necessary to debug them effectively are largely similar. Hence, an understanding of the previous work on debugging can offer computer science educators insights into how to improve contemporary learning and teaching of debugging and may suggest directions for future research into this important area. This overview of the debugging literature is organized around four questions relevant to computer science educators and education researchers: What causes bugs to o...

Debugging is often difficult and frustrating for novices. Yet because students typically debug outside the classroom and often in isolation, instructors rarely have the opportunity to closely observe students while they debug. This paper describes the details of an exploratory study of the debugging skills and behaviors of contemporary novice Java programmers. Based on a modified replication of Katz and Anderson's study of novices, we sought to broadly survey the modern landscape of novice debugging abilities. As such, this study reports general quantitative results and fills in the picture with qualitative detail from a relatively small, but varied sample. Comprehensive interviews involving both a programming and a debugging task, followed by a semi-structured interview and a questionnaire, were conducted with 21 CS2 students at seven colleges and universities. While many subjects successfully debugged a representative set of typical CS1 bugs, there was a great deal of variation in their success at the p...

A key challenge of effective teaching is assessing and monitoring the extent to which students have assimilated the material they were taught. Concept mapping is a methodology designed to model what students have learned. In effect, it seeks to produce graphical representations (called concept maps) of the concepts that are important to a given domain and how they are related, according to the students. In recent decades various methods have emerged to evaluate concept maps, each measuring different features of concept maps. New approaches are still being developed. Few guidelines are available regarding the method to choose for a given application. This paper is a literature review that consists of two parts. The first is a review of the many automated and manual techniques of concept map analysis. The second is a critical and reflective commentary on these techniques.

Non-determinism is one of the most important, yet abstract, recurring concepts of Computer Science. It plays an important role in Computer Science areas such as formal language theory, computability theory, distributed computing, and operating systems. We conducted a series of studies on the perception of non-determinism. In the current research, we studied and analyzed undergraduate Computer Science students' solutions to assignments in a course on automata and formal languages. Our findings shed some light on students' perceptions of non-determinism, their tendency to use non-determinism, and the characteristics of their non-deterministic solutions. This paper describes the current research and its results, and suggests several teaching applications.

Over the past few years Australian universities have sought to establish generic graduate attributes statements to meet the demands of external stakeholders. Within the area of information and communication technology (ICT), for example, professional organizations and employers want new ICT graduates to be able to talk with clients, create persuasive arguments and present work confidently. To meet such requirements, Australian ICT educators have explored a variety of methods to implement graduate attributes. The selection and content of delivery models, however, vary according to university policies and departmental cultures. In this paper we critically examine the dedicated, infused, and embedded approaches to the delivery of generic graduate attributes. To do this, we first trace the development of graduate attributes. Secondly, we present three diverse approaches by two ICT departments within the same university and discuss factors that lead to sustainable generic graduate attribute programmes. We conc...

This paper reviews contemporary research literature in the area of online computer science education that has emanated from Australasia. First the literature is summarized, initially categorized by content as relating to course design, assessment, collaboration, teaching, and learning through online environments. On the basis of the themes and approaches to research that emerge from the literature, a framework for analysing online learning literature is proposed. This framework is then used to identify open areas in online computer science education research, allowing an agenda for future work to be derived.

This paper presents a simple 4 bit computer processor design that may be built using TTL chips for less than $65. In addition to describing the processor itself in detail, we discuss our experience using the laboratory kit and its associated machine instruction set to teach computer architecture to high school students.

Less than one half of one percent of all processors manufactured today end up in computers. The rest are embedded in other devices such as automobiles, airplanes, trains, satellites, and nearly every modern electronic device. Developing software for embedded systems requires a greater knowledge of hardware than developing for a typical desktop application. Despite the great demand for people to develop real-time embedded system software, few universities devote class time to giving students the necessary skills. In this paper I describe a course and stimulating environment for introducing students to this important domain. I make arguments for using real devices rather than simulations and for using a computer-controlled model railroad. I describe the computing and railroad hardware, laboratory assignments, and course project used in my course. Finally, I present a summary of the effectiveness of programming language choice based on an analysis of 13 years of data.

Students learn better when they both hear and do. In computer architecture courses “doing” can be difficult in small schools without hardware laboratories hosted by computer engineering, electrical engineering, or similar departments. Software solutions exist. Our success with George Mills' Multimedia Logic (MML) is the focus of this paper. MML provides a graphical computer architecture solution with convenient I/O support and the ability to build and emulate a variety of computer designs. It has proven highly motivational to upper division computer science students designing and constructing emulated computers. Student projects resulted in excellent student understanding of the detailed inner workings of computers. Students also developed better teamwork skills and produced useful training aids for the lower division computer organization class. Designs implemented include 8 bit and 16 bit von Neumann and Harvard architectures, from single cycle to 12 cycle instructions. Issues resolved during the learni...

This paper describes a visualization environment and associated learning activities designed to improve learning of computer architecture. The environment, EasyCPU, displays a model of the components of a computer and the dynamic processes involved in program execution. We present the results of a research program that analysed the contribution of the visualization to learning. We found that EasyCPU facilitated the use of improved study methods and enabled the construction of a viable mental model of the computer.

Embedded systems are increasingly pervasive, and the creation of reliable controlling software offers unique challenges. Embedded software must interact directly with hardware, it must respond to events in a time-critical fashion, and it typically employs concurrency to meet response time requirements. This paper describes an innovative course that gives students in-depth exposure to the challenges of writing reliable, time-critical, concurrent code. Students design and implement a real-time operating system (RTOS), and they write application code that uses the RTOS they construct. Code development and debugging take place in a simulation environment that offers visibility into the system and strictly repeatable execution while maintaining hardware compatibility. We describe the structure of the class, the custom tools used, and the laboratory sequence that results in a functional RTOS. We discuss the development of the class and its impact on our students.

This paper describes the Reinventing Computer Science Curriculum Project at the University of Nebraska-Lincoln. Motivated by rapid and significant changes in the information technology and computing areas, high diversity in student aptitudes, and high dropout rates, the project designed and implemented an integrated instructional/research framework. The framework is based around 10 general design strategies that incorporated administrative, instructional, and research principles. The framework consists of a placement examination, three suites of structured laboratory assignments, multimedia learning objects, and educational evaluation and research designs. The results of implementing the framework in our introductory courses are encouraging and insightful. While validating some of our designs, our research also identified areas for further development and research.

Automatic assessment systems generally support immediate grading and response on learners' submissions. They also allow learners to consider the feedback, revise, and resubmit their solutions. Several strategies exist to implement the resubmission policy. The ultimate goal, however, is to improve the learning outcomes, and thus the strategies should aim at preventing learners from using the resubmission feature irresponsibly. One of the key questions here is how to develop the system and its use in order to cut down such reiteration that does not seem to be worthwhile? In this paper, we study data gathered from an automatic assessment system that supports resubmissions. We use a clustering technique to draw a distinction among learner groups that seem to differ in their use of the resubmission feature and the points achieved from the exercises. By comparing these groups with each other, we conclude that for a small minority of learners there is a risk that they use the resubmission inefficiently. Some lea...

In this paper, we present the results from a two-part study. We analyze 60 programs written by novice programmers aged 16 – 19 after their first programming course, in either Java or Python. The aim is to find difficulties independent of the language used, and such originating from the language. Second, we analyze the transition from a “simple” language to a more “advanced” one, by following up on eight students, who learned programming in Python before moving on to Java. Our results suggest that a simple language gives rise to fewer syntax errors as well as logic errors. The qualitative part of our study did not reveal any disadvantages from having learned to program in a simple language when moving on to a more complex one. This suggests that not only can a simple language be used when introducing programming as a general skill, but also when providing basic skills to future professionals in the field.

Design pattern creation, especially in the e-learning domain, is a highly complex process that has not been sufficiently studied and formalized. In this paper, we propose a systematic pattern development cycle, whose most important aspects focus on reverse engineering of existing systems in order to elicit features that are cross-validated through the use of appropriate, authentic scenarios. However, an iterative pattern process is proposed that takes advantage of multiple data sources, thus emphasizing a holistic view of the teaching – learning processes. The proposed schema of pattern mining has been extensively validated for Asynchronous Network Supported Collaborative Learning (ANSCL) systems, as well as for other types of tools in a variety of scenarios, with promising results.

The computer science high-school teaching community of practice possesses a rich collection of distributed practical knowledge consisting of individual teachers' expertise regarding pedagogy. However, without a proper means of communication and rules of discourse, the individual pieces of knowledge might not be transferred properly within the community, and eventually might get lost. Only when fertile professional communication lines have been established, can the growth of common shared, reusable knowledge bases be reinforced and nurtured. Pedagogical patterns are intended to capture the expert knowledge of the practice of teaching and to transfer that knowledge to other practitioners. This paper discusses how the culture of patterns can be employed to transfer pedagogical knowledge, and thus reinforce peer-communication and collaboration within the computer science high-school teaching community of practice.

A considerable amount of experiences in teaching object-oriented concepts using the Java language have been reported to date, some of which describe language pitfalls and concrete learning difficulties. In this paper, a number of additional issues that have been experienced as difficult for students to master, along with approaches intended to overcome them, are addressed. Concretely, practical issues regarding associations, interfaces, genericity and exceptions are described. These issues suggest that more emphasis is required on presenting Java programs as derivations of conceptual models, in order to guarantee that a thorough design of the object structure actually precedes implementation issues. In addition, common student misunderstandings about the uses of interfaces and exceptions point to the necessity of introducing both specific design philosophies and also a clear distinction between design-for-reuse and more specific implementation issues.

In software engineering education, large projects are widely recognized as a useful way of exposing students to the real-world difficulties of team software development. But large projects are difficult to put into practice. First, educators rarely have additional time to manage software projects. Second, classrooms have inherent limitations that threaten the realism of large projects. Third, quantitative evaluation of individuals who work in groups is notoriously difficult. As a result, many software engineering courses compromise the project experience by reducing the team sizes, project scope, and risk. In this paper, we present an approach to teaching a one-semester software engineering course in which 20 to 30 students work together to construct a moderately sized (15 KLOC) software system. The approach combines carefully coordinated lectures and homeworks, a hierarchical project management structure, modern communication technologies, and a web-based project tracking and individual assessment system...

Problem-Based Learning (PBL) method emphasizes students' own activity in learning about problems, setting up their own learning goals and actively searching for and analyzing information. In this paper, we describe and discuss our experiences on applying PBL, especially the seven steps method widely used in medical faculties, in an introductory computer programming course. We explain how the method is implemented, give examples and identify different kinds of PBL cases, and describe how the method is supplemented by other learning methods in our course. According to our experience, the PBL method increases the commitment of the students which results in a significantly lower drop-out rate: the average is 17% versus 45% in our traditional programming courses. In addition to computer programming, students also learn generic skills related to group work, collaborative design work, independent studying, and externalization of their knowledge.

This paper proposes an evaluation framework for assessing students' comprehension of concurrent programs. The need for such a framework is illustrated by a review of various Computer Science Education forums. This review suggests that there is little pedagogical research in the area of concurrent software, particularly with respect to assessing students' knowledge. In particular, the proposed framework attempts to categorize the types of information students seek and the types of information they obtain, as they learn about concurrent software. Thus the framework could be used to guide teaching methods in this area, to hone the representations used to portray concurrent software to students and subsequently, to assess students' performance.

This paper describes an exercise in determining the cognitive difficulty of the assessment tasks in six computing courses within an Information Technology (IT) degree, importing Bloom's taxonomy from the field of educational psychology as an analytical framework. Three of the six courses comprise a Programming stream and three a Data Communications and Networking stream. Bloom's taxonomy is described and we present other studies within computer science based on it. Next, we introduce the courses that were selected for the study and describe the process of analysis. The aggregated results are then presented and some inferences made. The results indicate that the programming courses required a relatively higher cognitive level in assessment tasks compared to the data communications and networking courses. This outcome suggests the need for alternative approaches to assessment.

The premise of this paper is that computer science has much to offer the endeavor of instructional improvement. Software design processes employed in computer science for developing software can be used for planning instruction and should improve instruction in much the same manner that design processes appear to have improved software. Techniques for examining the software development process can be applied to an examination of the instructional process. Furthermore, the computer science discipline is particularly well suited to these tasks. Thus, computer science can develop instructional design expertise for export to other disciplines to improve education in all disciplines and, eventually, at all levels.

Realizing the importance of teaching efficiency at early stages of the program of study in computer science (CS) on one hand, and the difficulties encountered when introducing this concept on the other, we advocate a different didactic approach in the introductory CS course (CS1). This paper describes the approach as it is used at the Open University of Israel (OUI). The OUI, a distance teaching institution with no prior educational requirements, runs a full-fledged CS program. Because of its open door policy, the dropout rate, especially in introductory courses, as well as the percentage of failures, is very high. Using the new approach has raised the percentage of students who pass the course. The new approach advocates integrating three-part questions which ask not only to identify the algorithmic problem that a given algorithm solves and to analyze its complexity, but also to design a new algorithm that performs the same task, while increasing efficiency by an order of magnitude, not only by a constan...

In this paper, we investigate the question of what assessment tools are being used in practice by United States computing programs and what the faculty doing the assessment think of the tools they use. After presenting some background with regard to the design, implementation, and use of assessment, with particular attention to assessment tools, we report on the results of two surveys, distributed to the SIGCSE mailing list and to the chairs of all ABET-CAC accredited computer science programs. This combination of community practice and advice for non-experts could be helpful to someone designing, evaluating, or improving an assessment plan.

Automated techniques for finding plagiarism in student source code submissions have been in use for over 20 years and there are many available engines and services. This paper reviews the literature on the major modern detection engines, providing a comparison of them based upon the metrics and techniques they deploy. Generally the most common and effective techniques are seen to involve tokenising student submissions then searching pairs of submissions for long common substrings, an example of what is defined to be a paired structural metric. Computing academics are recommended to use one of the two Web-based detection engines, MOSS and JPlag. It is shown that whilst detection is well established there are still places where further research would be useful, particularly where visual support of the investigation process is possible.