Anna Eckerdal

Putting threshold concepts into context in computer science education

This paper describes Threshold Concepts, a theory of learning that distinguishes core concepts whose characteristics can make them troublesome in learning. With an eye to applying this theory in computer science, we consider this notion in the context of related topics in computer science education.

Can graduating students design software systems

This paper examines software designs produced by students nearing completion of their Computer Science degrees. The results of this multi-national, multi institutional experiment present some interesting implications for educators.

Variation theory applied to students’ conceptions of computer programming

The present work has its focus on university-level engineering education students that do not intend to major in computer science but still have to take a mandatory programming course. Phenomenography and variation theory are applied to empirical data from a study of students’ conceptions of computer programming. A phenomenographic outcome space is presented, with five qualitatively different categories of description of students’ ways of seeing computer programming. Moreover, dimensions of variation related to these categories are identified. Based on this discussion it is suggested how to use patterns of variation in order to support students’ learning of computer programming. Finally, results from a pilot study demonstrate the successful application of two patterns of variation in a computer lab assignment.

Learning computer science: perceptions, actions and roles

This phenomenographic study opens the classroom door to investigate teachers’ experiences of students learning difficult computing topics. Three distinct themes are identified and analysed. Why do students succeed or fail to learn these concepts? What actions do teachers perceive will ameliorate the difficulties facing students? Who is responsible, and for what, in the learning situation? Theoretical work on threshold concepts and conceptual change deals with mechanisms and processes associated with learning difficult material [Meyer, J. and Land, R., 2005. Threshold concepts and troublesome knowledge (2): epistemological considerations and a conceptual framework for teaching and learning. Higher Education, 49 (3), 373–388; Entwistle, N., 2007. Conceptions of learning and the experience of understanding: thresholds, contextual influences, and knowledge objects. In: S. Vosniadou, A. Baltas and X. Vamvakoussi, eds. Re-framing the conceptual change approach in learning and instruction. Amsterdam, The Netherlands: Elsevier, chap. 11]. With this work as a background, we concentrate on the perceptions of teachers. Where do teachers feel that the difficulties lie when studying the troublesome knowledge in computing? Student and teacher-centric views of teaching reported in other literature are also to be seen in our results. The first two categories in the ‘what’ and ‘who’ themes are teacher-centric. Higher level categories in all themes show increasingly learner centred conceptions of the instructional role. However, the nature of the categories in the ‘why’ theme reveals a new dimension dealing with teacher beliefs specific to the nature of troublesome knowledge in computing. A number of prior studies in tertiary teaching concentrate on approaches to teaching [Trigwell, K. and Prosser, M., 2004. Development and use of the approaches to teaching inventory. Educational Psychology Review, 16 (4), 409–424], and attitudes to scholarship of teaching and learning [Ashwin, P. and Trigwell, K., 2004. Investigating educational development. In: Making sense of staff and educational development, 117–131]. Our focus on learning difficult topics extends this work, investigating teacher conceptions of causality in relation to learning difficulties. We argue that teacher conceptions of enabling factors, for learning difficult computing topics, can act to limit the nature and scope of academics’ pedagogical responses. Improved awareness of teachers beliefs regarding student learning difficulties both extends and complements existing efforts to develop a more student-centred computing pedagogy.

Threshold concepts and threshold skills in computing

Threshold concepts can be used to both organize disciplinary knowledge and explain why students have difficulties at certain points in the curriculum. Threshold concepts transform a students view of the discipline; before being learned, they can block a students progress. In this paper, we propose that in computing, skills, in addition to concepts, can sometimes be thresholds. Some students report finding skills more difficult than concepts. We discuss some computing skills that may be thresholds and compare threshold skills and threshold concepts.

Liminal spaces and learning computing

‘Threshold concepts’ are concepts that, among other things, transform the way a student looks at a discipline. Although the term ‘threshold’ might suggest that the transformation occurs at a specific point in time, an ‘aha’ moment, it seems more common (at least in computing) that a longer time period is required. This time period is referred to as the ‘liminal space’. In this paper, we summarise our findings concerning how computing students experience the liminal space and discuss how this might affect teaching. Most of our findings so far relate to software engineering. As it is likely that similar liminal spaces occur in other engineering disciplines, these findings have relevance across engineering education.

Categorizing student software designs: Methods, results, and implications

This paper examines the problem of studying and comparing student software designs. We propose semantic categorization as a way to organize widely varying data items. We describe how this was used to organize a particular multi-national, multi-institutional dataset, and present the results of this analysis: most students are unable to effectively design software. We examine how these designs vary with different academic and demographic factors, and discuss the implications of this work on both education and education research.

Computer science at school/CS teacher education: Koli working-group report on CS at school

In an international study, experts reflected on their national state of computer science education in school, and the associated situation and education of computer science teachers. While these situations are shaped by local circumstances, they are also shaped by changes in the discipline. The results of the study showed a number of recurrent themes and patterns such as curriculum difficulties, training and support for teachers, as well as the understanding (e.g. computer science vs. information technology) and relevance of computer science. The study also draws attention to initiatives that are being undertaken at the local and international levels to solve these problems. Finally, the study points out trends which are -- according to the experts asked -- likely to occur within the next few years.

What do CS students try to learn? insights from a distributed, project-based course in computer systems

This paper explores what students taking an international project-based course in computer systems strive to learn. Through empirical, phenomenographic work we have identified three different motives that the students strive for: academic achievement; project and team working capacity; and social competence. What a student strives to learn largely influence the nature of her or his learning. Thus, the students can be thought of as taking different courses. Furthermore, the three motives can be experienced in different ways which can be more or less fruitful depending on what a student tries to achieve. We argue that it is important for a teacher to be aware of the variation in what the students want to learn, and to teach in a way that is cognizant of this spectrum of student goals.

Teaching and learning with MOOCs: computing academics' perspectives and engagement

During the past two years, Massive Open Online Courses (MOOCs) have created wide interest in the academic world raising both enthusiasm for new opportunities for universities and many concerns for the future of university education. The discussion has mainly appeared in non-scientific forums, such as magazine articles, columns and blogs, making it difficult to judge wider opinions within academia. To collect more rigorous data we surveyed teachers, researchers, and academic managers on their opinions and experiences of MOOCs. In this paper, we present our analysis of responses from the computer science academic community (n=137). Their feelings about MOOCs are highly mixed. Content analysis of open-ended questions revealed that the most often mentioned positive aspects included affordances of MOOCs, freedom of time and location for studying, and the possibility to experience teaching from top-level international teachers/experts. The most common negative aspects included concerns about pedagogical designs of MOOCs, assessment practices, and lack of interaction with the teacher. About half the respondents claimed they had not changed their teaching as a result of MOOCs, a small number used MOOCs as learning resources and very few were engaging with MOOCs in any significant way.