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This paper describes and evaluates aspects of a professional development programme for existing CS teachers in secondary schools (PLAN C) which was designed to support teachers at a time of substantial curricular change. The paper’s particular focus is on the formation of a teacher professional development network across several hundred teachers and a wide geographical area. Evidence from a series of observations and teacher surveys over a two-year period is analysed with respect to the project’s programme theory in order to illustrate not only whether it worked as intended, by why. Results indicate that the PLAN C design has been successful in increasing teachers’ professional confidence and appears to have catalysed powerful change in attitudes to learning. Presentation of challenging pedagogical content knowledge and conceptual frameworks, high-quality teacher-led professional dialogue, along with the space for reflection and classroom trials, triggered examination of the teachers’ own current ...

In this theory paper, we explore the concept of translanguaging from bilingual education, and its implications for teaching and learning programming and computing in especially computer science (CS...

The challenge of teaching programming in higher education is complicated by problems associated with large class teaching, a prevalent situation in many developing countries. This paper reports on an investigation into the use of a blended learning approach to teaching and learning of programming in a class of more than 200 students. A course and learning environment was designed by integrating constructivist learning models of Constructive Alignment, Conversational Framework and the Three-Stage Learning Model. Design science research is used for the course redesign and development of the learning environment, and action research is integrated to undertake participatory evaluation of the intervention. The action research involved the Students’ Approach to Learning survey, a comparative analysis of students’ performance, and qualitative data analysis of data gathered from various sources. The paper makes a theoretical contribution in presenting a design of a blended learning solution for large class teachi...

This study explores the changes in Computer Science (CS) students’ self-efficacy between entering study and the end of first year of university. It aims to give course leaders insights into the everyday challenges that affect students’ academic achievement and persistence into second year. The paper begins by proposing that the way CS is taught, the gender imbalance on CS courses, and the experience of the key transitional year into university might influence CS students’ non-continuation. It adopts an academic buoyancy conceptualisation of resilience. Acknowledging the scarcity of instruments covering CS students’ transition to university, the development of a new 20-item questionnaire is described, based on CS students’ own contributions of the challenges they faced during first year. The instrument is administered twice in one session to the same cohort. Analysis of paired responses indicates a loss of confidence to overcome challenges in most aspects, particularly staying motivated to study.

A dilemma within computer science departments is developing sustainable ways to expand capacity within introductory computer science courses while remaining committed to inclusive practices. Training near-peer mentors for peer code review is one solution. This paper describes the preparation of near-peer mentors for their role, with a focus on regular, consistent feedback via peer code review and inclusive pedagogy. Introductory computer science students provided consistently high ratings of the peer mentors’ knowledge, approachability, and flexibility, and credited peer mentor meetings for their strengthened self-efficacy and understanding. Peer mentors noted the value of videotaped simulations with reflection, discussions of inclusion, and the cohort’s weekly practicum for improving practice. Adaptations of peer mentoring for different types of institutions are discussed. Computer science educators, with hopes of improving the recruitment and retention of underrepresented groups, can benefit fro...

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

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.

Computer games have been accepted as an engaging and motivating tool in the computer science (CS) curriculum. However, designing and implementing a playable game is challenging, and is best done in advanced courses. Games for mobile devices, on the other hand, offer the advantage of being simpler and, thus, easier to program for lower level students. Learning context of mobile game development can be used to reinforce many core programming topics, such as loops, classes, and arrays. Furthermore, it can also be used to expose students in introductory computing courses to a wide range of advanced topics in order to illustrate that CS can be much more than coding. This paper describes the author’s experience with using mobile game development projects in CS I and II, how these projects were integrated into existing courses at several universities, and the lessons learned from this experience.

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. © 2013 Copyright Taylor and Francis Group, LLC.

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.

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.

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 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 summarise 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 effec...

One of the main problems faced within departments of computer science is how to encourage students to use their algorithmic and programming skills in the real-life context. This paper deals with control technologies for higher education. We define controlware as a toolkit for creating the control part of a mobile robot in interactive learning environments and educational micro-worlds. Intelligent behavior of mobile robots is created through the composition of constituent control units. The overall behavior of a mobile robot is half cooperative and half-competitive realization of the goals of the control units. To construct this composition behavior and resolve the corresponding conflicts, a partially ordering priority arbitration subsystem is defined. It is shown that the suggested approach links educational processes both in a control curriculum and an intelligent robotics curriculum. We hope that the spreadsheet-based controlware will make the mobile robots lear ning environment an accepted educational ...