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A new classification system for computing education papers is presented and applied to every computing education paper published between January 2004 and January 2007 at the two premier computing education conferences in Australia and New Zealand. We find that while simple reports outnumber other types of paper, a healthy proportion of papers address and answer a research question. We find that more papers deal with programming courses than with other courses, and that more than half of all publications are situated in single subjects. To the extent that differing circumstances permit, we compare our results with those of an earlier study of the SIGCSE conference, and find that the Australasian publications include fewer simple reports and more papers describing analysis and experiment. We note a reasonable number of publications on multi-institutional work, which we interpret as evidence of a sense of computing education community within Australia and New Zealand. [ABSTRACT FROM AUTHOR]

Reversing is the notion of thinking or working in reverse. Computer science textbooks and tutors recognize it primarily in the form of recursion. However, recursion is only one form of reversing. Reversing appears in the computer science curriculum in many other forms, at various intellectual levels, in a variety of fundamental courses. As such, it is too important a notion to be left unexplored. In this paper we discuss reversing in the context of two theoretical frameworks--as a fundamental idea in computer science, in the context of Schwill's model of fundamental ideas, and as a powerful problem solving means, in the context of Schoenfeld's cognitive model of problem solving. We recognize seven different forms of reversing, and demonstrate the essential role of each in algorithm or proof design. Our focus in the paper is conceptual, yet we briefly note our initial experimental experience, with student difficulties in both the invocation and utilization of reversing. We then discuss cognitive aspects of the teaching of reversing and offer ways to assimilate its awareness and elaborate its fundamental role in computer science. (Contains 1 note.)

This paper reviews nearly 80 published items concerned with promoting academic integrity and reducing plagiarism. Nearly all of them were published in the last seven years and have authors based in Australasia. Most of them have authors from computing departments and many were published in computing journals or presented at computing conferences. The paper begins with a description of how the reviewed items were selected, then dates and types of publication are analysed, key concepts and terms are listed, perspectives and themes are identified, and the referenced literature is reviewed by theme. (Contains 1 table.)

This paper discusses the role of reduction in computer science and describes a study on undergraduate students' perception of the concept of reduction. Specifically, based on an analysis of students answers to questions addressing different computer science topics, we present several findings regarding the ways in which undergraduate students conceive of and apply reduction. These findings can be interpreted within the framework of the tension that exists between the following two factors: The need to think in terms of high levels of abstraction, on one hand, and the fact that reduction introduces a new approach to be used in problem-solving situations, on the other. In addition the paper suggests several teaching applications.

Computer science education should not be based on short-term developments but on content that is observable in multiple domains of computer science, may be taught at every intellectual level, will be relevant in the longer term, and is related to everyday language and/or thinking. Recently, a catalogue of "central concepts" for computer science education such as "algorithm", "computer", and "data" has been empirically determined. This paper now concentrates on "central processes" relevant for computer science education. Experts of computer science rated 44 general-education processes regarding four criteria. By using a cluster analysis approach the following central processes for computer science education have been identified: "problem solving and problem posing", "analyzing", "generalizing", "finding relationships", "classifying", and "investigating". (Contains 1 table, 6 figures, and 2 notes.)

Abstraction 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. (Contains 4 figures and 5 tables.)

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. (Contains 14 figures and 1 table.)

This paper investigates the Australian literature relating to female under-representation in the information technology (IT) sphere of careers and education. This summary of the current body of literature presented through the lens of the nature of the discipline includes emerging theories that explore the masculinization of the discipline, followed by a discussion of the lack of a sustainable impact on declining female student numbers of earlier Australian intervention programmes. A position is presented on the marginalization of this line of research within the IT discipline, as well as media representations of gendered messages about IT. Finally, student career choice literature is used to explore the author's premise that many young women in 21st century Australia, when faced with an array of career choices, appear to be exercising this power of choice to exclude IT from their list of possible futures.

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. (Contains 4 figures.)

This paper describes an empirical study that investigated the knowledge that Computer Science students have about the extent of their own previous learning. The study compared self-generated estimates of performance with actual performance on a data structures quiz taken by undergraduate students in courses requiring data structures as a prerequisite. The study was contextualized and grounded within a research paradigm in Psychology called "calibration of knowledge" that suggests that self-knowledge across a range of disciplines is highly unreliable. Such self-knowledge is important because of its role in "meta-cognition", particularly in cognitive self-regulation and monitoring, as well as in the credence that instructors give to student self-reports. Our results indicated that Computer Science student self-estimates are highly correlated with performance, more so for estimates provided after the performance than before. This high level of calibration, however, was likely the result of a number of conditions that do not always hold: that the students already had domain expertise, that the quiz had unambiguous and verifiable answers, and that students expected their estimates to be validated. When these conditions are not met, it becomes more important for students to have direct feedback about their performance so as to uncover those areas where their intuitions might mislead them. Students also had weak knowledge about their standing relative to their peers, particularly those in the lower performance quartiles, exhibiting the well known "better-than-average" heuristic. There was, additionally, no correlation between calibration ability and degree of liking or difficulty with the data structures material, suggesting that instructors and researchers should not treat liking or difficulty as reliable indicators of the learning that has occurred. (Contains 1 note, 4 tables and 4 figures.)

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. (Contains 4 tables.)

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. (Contains 1 table and 2 footnotes.)

Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward "CS for All." This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a large, urban school district in the Western United States, to help inform how CS can truly be for all. This paper explores what student agency looks like while answering the research question "From the perspective of minoritized students historically underrepresented in computing, what makes a critical difference in their sense of agency in introductory CS high school classes?" Our research-practice partnership used qualitative data (including classroom observations, interviews, student artifacts, and video/photos) and surveys to surface the perspectives and visions of minoritized youth. The research describes what student agency looks like as youth – who have had no prior CS learning experiences – use CS as a tool to resist marginalization and dehumanizing school contexts, while declaring their own "rightful presence" in CS classrooms. Findings demonstrate the importance for CS curricula and pedagogy to center the lives of students in ways that are consequential for minoritized youth. This would support deeper engagement with content learning and student agency with computing. [ABSTRACT FROM AUTHOR]

Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the computing workforce. Method: This paper reports on a longitudinal, qualitative study investigating female boot camp attendees. Findings: Findings show that women attending boot camps are career changers that develop an interest in software development too late to major in CS, discovering a post-college enjoyment of programming undertaken to support work goals at a current job or an aspirational job. Implications: Women at boot camps illustrate a missed opportunity to diversify postsecondary CS classrooms when not recruited early, not given interdisciplinary options, not exposed to enjoyable programming tasks, and not exposed to the array and number of job prospects. [ABSTRACT FROM AUTHOR]

Background and Context: Though computer science education is marked by a pronounced racial participation gap, there is little research about effective ways that teachers can be supported in creating racially-just and equitable computer science learning opportunities for students. Objectives: This paper examines how teachers engage in learning about race and equity in computer science education during professional development. Method: Drawing from data collected from 94 participants attending a summer week-long Exploring Computer Science workshop, this mixed-methods study revealed how key curricular and instructional features of professional development foster race-conscious discussions and shifts in beliefs and agency around broadening participation in computing. Findings: Given the importance of developing teacher capacity to increase opportunities for students of color in computing classrooms, the findings of this study highlight how intentionally integrating race education in the center of professional development for teachers can support teachers' equity-based beliefs and practices. Implications: Professional development for teachers that seeks to broaden participation in computing is supported by long-term professional learning that explicitly center issues of race and equity in the curriculum. [ABSTRACT FROM AUTHOR]

An introduction to a series of articles that reflects the atmosphere, the range of presentations and the topics discussed in Koli Calling International Conference on Computing Education Research conference is presented.

This theoretical paper explores the need for enhanced, intersectional computing identity theory for the purpose of developing a diverse group of computer scientists for the future. Greater theoretical understanding of the identity formation process specifically for computing is needed in order to understand how students come to understand themselves as computer scientists. To ensure that the next generation of computer scientists is diverse, this paper presents a case for examining identity development intersectionally, understanding the ways in which women and underrepresented students may have difficulty identifying as computer scientists and be systematically oppressed in their pursuit of computer science careers. Through a review of the available scholarship, this paper suggests that creating greater theoretical understanding of the computing identity development process will inform the way in which educational stakeholders consider computer science practices and policies. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In educational research, investigators in one field are often ignorant of similar research in other fields. Physics education in particular has undergone dramatic reforms in recent years, all based on insights gained from conducting educational research. Often, pedagogical methods resulting from research in one field can be revised and transferred to another. This paper demonstrates that many methods used in physics and other science programmes Throughout this paper, programme will refer to the curricular concept and program will refer to computer programs. can be adapted to teaching computer science. The author has pursued action research in computer science and implemented ideas from science education, especially from physics education, in teaching computer science classes at a small religious secondary school in the southwestern United States. This paper presents ideas and teaching strategies with the hope of building bridges between computer science education research and other science education research. [ABSTRACT FROM AUTHOR]

Many teachers experience serious problems when teaching object-orientation to beginners or professionals. Many of these problems could be overcome or reduced thorough the use of more appropriate tools. In this paper, we introduce BlueJ, an integrated development environment designed for teaching object-orientation, and discuss how the use of this tool can change the approach to teaching. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 space in which collaborative computing occurs, and conversations related to outcomes and products of computational activities. Instrument development and validation also included ongoing advisory board feedback from experts in computer science, collaborative learning, and K-12 computing as well as classroom observations to test out the constructs in the C-COI. These processes resulted in an instrument with rigorous validation procedures and a high inter-rater reliability. [ABSTRACT FROM PUBLISHER]

Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract technique that involves revealing close non-trivial connections between problems that often seem to have nothing in common. As a result, proper understanding and application of reduction is a serious challenge for students and a source of numerous misconceptions. The main contribution of this paper is detection of such misconceptions, analysis of their roots, and proposing a way to address them in an undergraduate TCC course. Our observations suggest that the main source of the misconceptions is the false intuitive rule “the bigger is a set/problem, the harder it is to solve”. Accordingly, we developed a series of exercises for proactive prevention of these misconceptions. [ABSTRACT FROM PUBLISHER]

To support teachers to implement Computer Science curricula into classrooms from the very first year of school, teachers, schools and organisations seek quality curriculum resources to support implementation and teacher professional development. Until now, many Computer Science resources and outreach initiatives have targeted K-12 school-age children, with the intention to engage children and increase interest, rather than to formally teach concepts and skills. What is the educational quality of existing Computer Science resources and to what extent are they suitable for classroom learning and teaching? In this paper, an assessment framework is presented to evaluate the quality of online Computer Science resources. Further, a semi-systematic review of available online Computer Science resources was conducted to evaluate resources available for classroom learning and teaching and to identify gaps in resource availability, using the Australian curriculum as a case study analysis. The findings reveal a predominance of quality resources, however, a number of critical gaps were identified. This paper provides recommendations and guidance for the development of new and supplementary resources and future research. [ABSTRACT FROM PUBLISHER]

To design an effective computer science curriculum, educators require a systematic method of classifying the difficulty level of learning activities and assessment tasks. This is important for curriculum design and implementation and for communication between educators. Different educators must be able to use the method consistently, so that classified activities and assessments are comparable across the subjects of a degree, and, ideally, comparable across institutions. One widespread approach to supporting this is to write learning objects in terms of Bloom’s Taxonomy. This, or other such classifications, is likely to be more effective if educators can use them consistently, in the way experts would use them. To this end, we present the design and evaluation of our online interactive web-based tutorial system, which can be configured and used to offer training in different classification schemes. We report on results from three evaluations. First, 17 computer science educators complete a tutorial on using Bloom’s Taxonomy to classify programming examination questions. Second, 20 computer science educators complete a Neo-Piagetian tutorial. Third evaluation was a comparison of inter-rater reliability scores of computer science educators classifying programming questions using Bloom’s Taxonomy, before and after taking our tutorial. Based on the results from these evaluations, we discuss the effectiveness of our tutorial system design for teaching computer science educators how to systematically and consistently classify programming examination questions. We also discuss the suitability of Bloom’s Taxonomy and Neo-Piagetian theory for achieving this goal. The Bloom’s and Neo-Piagetian tutorials are made available as a community resource. The contributions of this paper are the following: the tutorial system for learning classification schemes for the purpose of coding the difficulty of computing learning materials; its evaluation; new insights into the consistency that computing educators can achieve using Bloom; and first insights into the use of Neo-Piagetian theory by a group of classifiers. [ABSTRACT FROM PUBLISHER]

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. [ABSTRACT FROM AUTHOR]

This paper examines students' pre-college experience with computers. It finds significant gender differences in how students develop interest in computers; exposure to computers at home; availability of computers in high schools; and high-school preparations for college study in a computing field. The paper has a number of implications to improve the digital divide for women. It is based on 150 in-depth interviews of female and male undergraduate students, members of five major ethnic/racial groups (White, Afro-American, Hispanic, Asian American, and Native American) from seven institutions in the USA. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 conclude our paper with issues to consider when adopting implementation models and map out suggestions for further research. [ABSTRACT FROM AUTHOR]

Roles can be assigned to occurrences of variables in programs according to a small number of stereotypical patterns of use. Studies on explicitly teaching roles to novices learning programming have shown that roles are an excellent pedagogical tool for clarifying the structure and meaning of programs and that their use improves students' programming skills. This paper describes how roles can be applied in various programming paradigms and presents the results of three studies designed to test the understandability and acceptability of the role concept and of the individual roles in procedural, object-oriented, and functional programming. Based on the results, two new roles and small modifications to the definitions of the original roles are suggested. [ABSTRACT FROM AUTHOR]

Presents an overview of the contents of the publication 'Computer Science Education.' Development of component-based software; Education on risk management; Importance of maintenance education.

This paper describes our experiences in leadingLumberjack Summer Camp (LSC), a 10-week undergraduate research experiencein compiler-based optimization techniques for functional programs, held duringthe summer of 2000. Like many undergraduate research experiences, LSC wasdesigned to provide an opportunity for students and faculty to work closelytogether toward a common research goal. But LSC was designed around an additionalaim as well: to bring together a critical mass of researchers from two smallliberal arts colleges to pursue individual research projects situated withinone overarching, collaborative, cutting-edge research endeavor. We exploresome important consequences of this design choice, ultimately offering LSCas an unusual, but very workable, model for undergraduate research experiences. [ABSTRACT FROM AUTHOR]

A suite of five short papers which aim to provide an overview of several aspects of CS education research, especially: previous work of interest, current projects and results; suggestions and resources for getting started in CS education research, and for forming and entering research communities. [ABSTRACT FROM AUTHOR]

The foundation courses in computer science pose particular challenges for teacher and learner alike. This paper describes some of these challenges and how we have designed problem-based learning (PBL) courses to address them. We discuss the particular problems we were keen to overcome: the purely technical focus of many courses; the problems of individual learning and the need to establish foundations in a range of areas which are important for computer science graduates. We then outline our course design, showing how we have created problem-based learning courses. The paper reports our evaluation of the approach. This has two parts: assessment of a trial, with a three-year longitudinal follow-up of the students; reports of student learning improve-ment after we had become experienced in full implementation of PBL. We conclude with a summary of our experience over three years of PBL teaching and discuss some of the pragmatic issues around introducing the radical change in teaching, maintaining staff support, and continuing refinement of our PBL teaching. We also discuss some of our approaches to the commonly acknowledged challenges of PBL teaching. [ABSTRACT FROM AUTHOR]

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 women in CS and between women in CS and those in other STEM fields. For instance, women in CS tend to earn lower high school grades than women in other STEM fields, but earn higher SAT verbal scores. They also rate themselves higher than men in CS and women in other STEM fields on measures of their artistic ability, but rate themselves lower on other self-ratings, including academic and leadership ability. Further, women in CS are more likely to be undecided in their career plans than men in CS and women in other STEM fields. Understanding the unique characteristics of women in CS will help inform policies and recruitment programs designed to address the gender gap in computing. [ABSTRACT FROM PUBLISHER]

The article discusses various reports published within the issue, including one on the discussion of teaching the fundamentals of hardware and software to computer science students and another on the development of computer application software.

Computational thinking (CT) is considered as a valuable literacy for all students, and its inclusion in compulsory schooling could increase the numbers of underrepresented students who pursue computing-related careers. Computer Science Unplugged (CSU) had success in making computer science (CS) accessible to K–12 students in outreach settings. Such "unplugged" approaches have the potential to do the same in formal education. This review considers how research findings on unplugged pedagogies might advance CS/CT education priorities, while highlighting areas of unknown and tension. We conducted a search in academic databases using terms +unplugged "computer science" and +unplugged CT, and related terms. We synthesized our review with existing ones to inform the priorities of CS-for-all and CT development. We surfaced CSU's limitations to broaden access for underrepresented students and suggested a remedy. We proposed 10 research questions that fill key gaps to support efforts that provide just access to quality CS/CT education. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Computer science is possibly one of the few remaining disciplines almost entirely dominated by men, especially university staff and in the hi-tech industries. This phenomenon prevails throughout the western world; in Israel it starts in high school, where only 30% of students who choose to take computer science as an elective are women, and continues in university and college, where usually less than 30% of the entire computer science student population is female. In this paper we present data describing women taking the undergraduate computer science program at the Open University of Israel. Covering a period of 10 years, we have examined the enrollment and results of thousands of students on 20 undergraduate computer science courses. An attempt has been made to identify whether there is a specific stage in the undergraduate program which is more difficult for women to pass. The good news is that within the Open University of Israel out of the entire population of computer science students the percentage of female enrolments and the percentage of females graduating is almost the same, and the differences in average final grade between men and women are generally not significant. This study is unique because of the large number of students which served as the study population, covering the entire undergraduate program. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

For beginning programmers, inadequate problem solving and planning skills are among the most salient of their weaknesses. In this paper, we test the efficacy of natural language tutoring to teach and scaffold acquisition of these skills. We describe ProPL (Pro-PELL), a dialogue-based intelligent tutoring system that elicits goal decompositions and program plans from students in natural language. The system uses a variety of tutoring tactics that leverage students' intuitive understandings of the problem, how it might be solved, and the underlying concepts of programming. We report the results of a small-scale evaluation comparing students who used ProPL with a control group who read the same content. Our primary findings are that students who received tutoring from ProPL seem to have developed an improved ability to solve the composition problem and displayed behaviors that suggest they were able to think at greater levels of abstraction than students in the read-only group. [ABSTRACT FROM AUTHOR]

The paper reports on an examination of predictors of success for an objects-first course. The predictors considered included prior programming experience, mathematical ability, academic and psychological variables, gender, and measures of student effort. Cognitive and academic factors such as SAT scores and critical thinking ability offered little predictive value when compared to the other predictors of success. Student effort and comfort level were found to be the strongest predictors of success. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

In this paper we review the literature relating to the psychological/educational study of programming. We identify general trends comparing novice and expert programmers, programming knowledge and strategies, program generation and comprehension, and object-oriented versus procedural programming. (We do not cover research relating specifically to other programming styles.) The main focus of the review is on novice programming and topics relating to novice teaching and learning. Various problems experienced by novices are identified, including issues relating to basic program design, to algorithmic complexity in certain language features, to the "fragility" of novice knowledge, and so on. We summarize this material and suggest some practical implications for teachers. We suggest that a key issue that emerges is the distinction between effective and ineffective novices. What characterises effective novices? Is it possible to identify the specific deficits of ineffective novices and help them to become effective learners of programming? [ABSTRACT FROM AUTHOR]