Automatic Feedback Provision in Teaching Computational Science.

Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK

Abstract: Developing effective learning strategies and tools to improve teachers’ computational thinking-related teaching ability is becoming an increasingly important issue in the digital age. In this study, an intelligent learning partner was designed and developed under the guidance of the framework of technological pedagogical content knowledge and peer-assisted learning strategy. Moreover, a quasi-experiment has been conducted in a blended learning community to evaluate the effect of the intelligent learning partner on improving teachers’ computational thinking-related technological pedagogical content knowledge. The participants were 32 pre-service teachers, comprising an experimental group (n = 16) and a control group (n = 16). The experimental results showed that the intelligent learning partner enabled the teachers to apply more knowledge of computational thinking-related technological pedagogical content knowledge into their lesson plans. Besides, it was found that the intelligent learning partner not only facilitated the teachers to think about students’ learning process, but also helped the teachers recognize the advantages of specific technology and pedagogy. Besides, participants’ feedback on improving the design of intelligent learning partners indicated that emotional interaction and explanations were needed.

Learning and Teaching Programming: A Review and Discussion

Abstract: 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...

Review of recent systems for automatic assessment of programming assignments

Abstract: This paper presents a systematic literature review of the recent (2006--2010) development of automatic assessment tools for programming exercises. We discuss the major features that the tools support and the different approaches they are using both from the pedagogical and the technical point of view. Examples of these features are ways for the teacher to define tests, resubmission policies, security issues, and so forth. We have also identified a list of novel features, like assessing web software, that are likely to get more research attention in the future. As a conclusion, we state that too many new systems are developed, but also acknowledge the current reasons for the phenomenon. As one solution we encourage opening up the existing systems and joining efforts on developing those further. Selected systems from our survey are briefly described in Appendix A.

A survey of literature on the teaching of introductory programming

Abstract: Three decades of active research on the teaching of introductory programming has had limited effect on classroom practice. Although relevant research exists across several disciplines including education and cognitive science, disciplinary differences have made this material inaccessible to many computing educators. Furthermore, computer science instructors have not had access to a comprehensive survey of research in this area. This paper collects and classifies this literature, identifies important work and mediates it to computing educators and professional bodies.We identify research that gives well-supported advice to computing academics teaching introductory programming. Limitations and areas of incomplete coverage of existing research efforts are also identified. The analysis applies publication and research quality metrics developed by a previous ITiCSE working group [74].

Teaching and learning programming and software engineering via interactive gaming

Abstract: Massive Open Online Courses (MOOCs) have recently gained high popularity among various universities and even in global societies. A critical factor for their success in teaching and learning effectiveness is assignment grading. Traditional ways of assignment grading are not scalable and do not give timely or interactive feedback to students. To address these issues, we present an interactive-gaming-based teaching and learning platform called Pex4Fun. Pex4Fun is a browser-based teaching and learning environment targeting teachers and students for introductory to advanced programming or software engineering courses. At the core of the platform is an automated grading engine based on symbolic execution. In Pex4Fun, teachers can create virtual classrooms, customize existing courses, and publish new learning material including learning games. Pex4Fun was released to the public in June 2010 and since then the number of attempts made by users to solve games has reached over one million. Our work on Pex4Fun illustrates that a sophisticated software engineering technique -- automated test generation -- can be successfully used to underpin automatic grading in an online programming system that can scale to hundreds of thousands of users.