Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research

Collaboration Versus Cheating

We outline how we detected programming plagiarism in an introductory online course for a master's of science in computer science program, how we achieved a statistically significant reduction in programming plagiarism by combining a clear explanation of university and class policy on academic honesty reinforced with a short but formal assessment, and how we evaluated plagiarism rates before SIGand after implementing our policy and assessment.Comment: 7 pages, 1 figure, 5 tables, SIGCSE 201

Teaching and learning in live online classrooms

Online presence of information and services is pervasive. Teaching and learning are no exception. Courseware management systems play an important role in enhancing instructional delivery for either traditional day, full-time students or non-traditional evening, party-time adult learners enrolled in online programs. While online course management tools are with no doubt practical, they limit, however, live or synchronous communication to chat rooms, whose discourse has little in common with face-to-face class communication. A more recent trend in online teaching and learning is the adoption and integration of web conferencing tools to enable live online classrooms and recreate the ethos of traditional face-to-face sessions. In this paper we present the experience we have had with the adoption of the LearnLinc® web conferencing tool, an iLinc Communications, Inc. product. We have coupled LearnLinc with Blackboard®, for the online and hybrid computer science courses we offered in the past academic year in the evening undergraduate and graduate computer science programs at Rivier College. Twelve courses, enrolling over 150 students, have used the synchronous online teaching capabilities of LearnLinc. Students who took courses in the online or hybrid format could experience a comparable level of interaction, participation, and collaboration as in traditional classes. We solicited student feedback by administering a student survey to over 100 students. The 55% response rate produced the data for this paper\u27s study. We report on the study\u27s findings and show students\u27 rankings of evaluation criteria applied to hybrid and online instructional formats, with or without a web conferencing tool. Our analysis shows that students ranked favorably LearnLinc live sessions added to Blackboard-only online classes. In addition, how they learned in live online classrooms was found to be the closest to the hybrid class experience with regard to teaching practices they perceived as most important to them, such as seeking instructor\u27s assistance, managing time on task, and exercising problem solving skills

Four approaches to teaching programming

Based on a survey of literature, four different approaches to teaching introductory programming are identified and described. Examples of the practice of each approach are identified representing procedural, visual, and object-oriented programming language paradigms. Each approach is then further analysed, identifying advantages and disadvantages for the student and the teacher. The first approach, code analysis, is analogous to reading before writing, that is, recognising the parts and what they mean. It requires learners to analyse and understand existing code prior to producing their own. An alternative is the building blocks approach, analogous to learning vocabulary, nouns and verbs, before constructing sentences. A third approach is identified as simple units in which learners master solutions to small problems before applying the learned logic to more complex problems. The final approach, full systems, is analogous to learning a foreign language by immersion whereby learners design a solution to a non-trivial problem and the programming concepts and language constructs are introduced only when the solution to the problem requires their application. The conclusion asserts that competency in programming cannot be achieved without mastering each of the approaches, at least to some extent. Use of the approaches in combination could provide novice programmers with the opportunities to acquire a full range of knowledge, understanding, and skills. Several orders for presenting the approaches in the classroom are proposed and analysed reflecting the needs of the learners and teachers. Further research is needed to better understand these and other approaches to teaching programming, not in terms of learner outcomes, but in terms of teachers’ actions and techniques employed to facilitate the construction of new knowledge by the learners. Effective classroom teaching practices could be informed by further investigations into the effect on progression of different toolset choices and combinations of teaching approache

IT2017 Report: Implementing A Competency-Based Information Technology Program (Panel)

ACMand IEEE have developed a computing curriculum report titled Information Technology Curricular 2017: Curriculum Guidelines for Undergraduate Degree Programs in Information Technology, also known as IT2017 [4]. The development of this report has received content contributions from industry and academia through surveys as well as many international conferences and workshops. Open online publication of the report became available in fall of 2017. In this special session, �ve members of the IT2017 executive committee will present a digest of the content of the report, describe the proposed IT curricular framework, and facilitate open and vigorous discussion of the report\u27s guidelines for developing new information technology programs or enhancing existing ones. The novelty of the report is its focus on industry-informed competencies that IT graduates should have to meet the growing demands of a changing technological world in the next decade. The experience should provide a better understanding of IT in a modern age

Early Developmental Activities and Computing Proficiency

As countries adopt computing education for all pupils from primary school upwards, there are challenging indicators: significant proportions of students who choose to study computing at universities fail the introductory courses, and the evidence for links between formal education outcomes and success in CS is limited. Yet, as we know, some students succeed without prior computing experience. Why is this? <br/><br/> Some argue for an innate ability, some for motivation, some for the discrepancies between the expectations of instructors and students, and some – simply – for how programming is being taught. All agree that becoming proficient in computing is not easy. Our research takes a novel view on the problem and argues that some of that success is influenced by early childhood experiences outside formal education. <br/><br/> In this study, we analyzed over 1300 responses to a multi-institutional and multi-national survey that we developed. The survey captures enjoyment of early developmental activities such as childhood toys, games and pastimes between the ages 0 — 8 as well as later life experiences with computing. We identify unifying features of the computing experiences in later life, and attempt to link these computing experiences to the childhood activities. <br/><br/> The analysis indicates that computing proficiency should be seen from multiple viewpoints, including both skill-level and confidence. It shows that particular early childhood experiences are linked to parts of computing proficiency, namely those related to confidence with problem solving using computing technology. These are essential building blocks for more complex use. We recognize issues in the experimental design that may prevent our data showing a link between early activities and more complex computing skills, and suggest adjustments. Ultimately, it is hoped that this line of research will feed in to early years and primary education, and thereby improve computing education for all

Using theory to inform capacity-building: Bootstrapping communities of practice in computer science education research

In this paper, we describe our efforts in the deliberate creation of a community of practice of researchers in computer science education (CSEd). We understand community of practice in the sense in which Wenger describes it, whereby the community is characterized by mutual engagement in a joint enterprise that gives rise to a shared repertoire of knowledge, artefacts, and practices. We first identify CSEd as a research field in which no shared paradigm exists, and then we describe the Bootstrapping project, its metaphor, structure, rationale, and delivery, as designed to create a community of practice of CSEd researchers. Features of other projects are also outlined that have similar aims of capacity building in disciplinary-specific pedagogic enquiry. A theoretically derived framework for evaluating the success of endeavours of this type is then presented, and we report the results from an empirical study. We conclude with four open questions for our project and others like it: Where is the locus of a community of practice? Who are the core members? Do capacity-building models transfer to other disciplines? Can our theoretically motivated measures of success apply to other projects of the same nature

Assessing collaborative and experiential learning

Collaborative and experiential learning has many proven merits. Team projects with real clients motivate students to put in the time for successfully completing demanding projects. However, assessing student performance where individual student contributions are separated from the collective contribution of the team as a whole is not a straightforward, simple task. Assessment data from multiple sources, including students as assessors of their own work and peers\u27 work, is critical to measuring certain student learning outcomes, such as responsible team work and timely communication. In this paper we present our experience with assessing collaborative and experiential learning in five Computer Information Systems courses. The courses were scheduled over three semesters and enrolled 57 students. Student performance and student feedback data were used to evaluate and refine our assessment methodology. We argue that assessment data analysis improved our understanding of (1) the assessment measures that support more closely targeted learning outcomes and (2) how those measures should be implemented