Informatics in Education

The notion of algorithm may be perceived in different levels of abstraction. In the lower levels it is an operational set of instructions. In higher levels it may be viewed as an object with properties, solving a problem with characteristics. Novices mostly relate to the lower levels. Yet, higher levels are very relevant for them as well. We unfold the importance of higher level abstractions for novices, by demonstrating the role of declarative observations of algorithmic problems, and the benefit of developing awareness of such observations in algorithmic problem solving. This is shown in a two-stage study, which first reveals the unfortunate lack of declarative observations, and then displays comparative results of experimental and control groups, which stems from different awareness and competence with declarative observations.

Computer science students often evaluate the behavior of the code they write by running it on specific inputs and studying the outputs, and then apply their comprehension to a more general understanding of the code. While this is a good starting point in the student’s career, successful graduates must be able to reason analytically about the code they create or encounter. They must be able to reason about the behavior of the code on arbitrary inputs, without running the code. Abstraction is central for such reasoning.

Teaching software engineering (SWE) as a core computer science course (ACM, 2013) is a challenging task. The challenge lies in the emphasis on what a large-scale software means, implementing teamwork, and teaching abstraction in software design while simultaneously engaging students into reasonable coding tasks. The abstraction of the system design is perhaps the most critical and theoretical part of the course and requires early engagement of the students with the necessary topics followed by implementation of the abstract model consistently. Normally, students would take such courses in the undergraduate curriculum sequence after data structures and/or object-oriented design/programming. Therefore, they would be able to learn about systematic modeling of software as a system. In this work, we address how to facilitate the teaching of SWE by introducing abstract modeling. Furthermore, functional decomposition is reviewed as a critical component which in turn, requires understanding of how different tasks are accomplished by enterprise software. Combining such pieces with concepts of architecture and design patterns of software provides foundational knowledge for students to be able to navigate around enterprise software in the real world.

The topic of 2021’s special issue is The Role(s) of Abstraction in CS Education. Abstraction is a pillar of computational thinking and plays a key role in many CS related areas. In computational thinking abstraction is used to understand a problem, manage its complexity and select an appropriate level of detail and degree of generality when solving it. Procedural and data abstractions allow algorithms to be used without knowledge of their details. Besides, the ability to abstract facilitates generalization and knowledge transfer.

In education, we have noticed a significant gap between the ability of students to program in an educational visual programming environment and the ability to write code in a professional programming environment. The aim of our research was to verify the methodology of transition from visual programming of mobile applications in MIT App Inventor 2 to textual programming in the Android Studio using the Java Bridge tool as a mediator of knowledge transfer. We have examined the extent, to which students will be able to independently program own mobile applications after completing the transition from visual to textual programming using the mediator. To evaluate the performance of students, we have analysed qualitative data from teaching during 1 school year and determined the degree of achievement of educational goals according to Bloom’s taxonomy. The results suggest that students in the secondary education can acquire advanced skills in programming mobile applications in a professional programming environment, when they have knowledge of visual programming in an educational programming environment, and a suitable mediator is used to transfer such knowledge into a new context.

We focus on two types of centralised national examinations (the 10th grade tests and Matura examination) that are being carried out in Lithuania for two decades. The aim of the paper is to analyse assessments of mathematics for the entire Lithuanian secondary school population that have no sampling errors while considering the factors of location, school ownership and gender as important indicators when judging about educational effectiveness in terms of quality and equity. We analyse the results of the 10th grade tests for the 2011–2015 period and the results of the same cohorts participating in the Matura examination. We observe that the distribution of the assessments of both exams is asymmetric with a positive skew. The median often is below the middle of the grade scale indicating poor performance or mismatch between knowledge and examination tasks. There are limited differences in assessments with respect to gender and school location, although we detect a tendency to have better mathematics achievement in private schools. The conclusions drawn from national assessment data is somewhat different from international data thus one cannot neglect national information for the development of educational policy. The variables analysed in the analysis has limited predictive power for achievements in mathematics and further analysis is called-for.

In Poland, talent development is organized mainly outside or alongside the educational system. A large number of privately funded informatics contests and extra-curricular talent development programs for highly motivated students are available. However, traditional competitions also exist including national informatics Olympiads and competitions mainly supported by the Ministry of Education. In particular, we stimulate interest in informatics by organizing the annual nationwide InfoSukces contest. This contest was organized for the first time in 2015 when informatics education in Poland was experiencing difficulties recruiting new students, who were in growing demand on the labor market. The aim of the contest is now to make students aware that the jobs of the future require problem-solving, digital skills, and creative thinking, all of which can be taught through informatics. The contest also provides a platform for a unique series of activities, the goal of which is to support partnerships and knowledge flow between schools and universities. This article provides a case study of the final stage of the InfoSukces contest, which involves the participants developing a “work of art” in the Scratch programming environment. It also presents the holistic method for quantitative evaluation of the students’ creative visual-based programming projects.

Developing an engaging and positive learning environment for learners, especially in a particular course, is one of the most creative aspects of teaching. Learning design supports the design of interventions, which are pedagogically informed, promote student-centered learning activities and make effective use of appropriate resources and technologies. In the context of this work, a framework is proposed for teaching learning design issues in tertiary education which interweaves teacher-centered activities with student-centered activities. The students are engaged in lab activities and in a learning design peer assessment project. Sustainable feedback practices are considered an integral part of the whole process. Findings drawn from an empirical study carried out during two consecutive academic years reveal that the interweaving of instruction and assessment may contribute to the understanding of the main learning design issues and to the cultivation of skills both in the development of educational applications as well as in the design of technology enhanced learning activities.

The development of communication and other soft skills among computer science students is not usually an easy task. Often, curricula focus on technical skills, with team projects being used for the improvement of communication skills. However, these teams usually comprise solely of computer science students. In this paper, we present a didactical methodology, called MIMI, which can be used in a short, intensive, programme for undergraduate students. This methodology has been implemented in real projects that have run annually since 2014. We advocate the use of team-based projects, with an important requirement that each team is both multidisciplinary and multinational. Additionally, the period of teamwork is short and intensive. A significant role in the project is given to team mentors. A mentor is a person, usually a university lecturer, who helps the team organize their work and tracks if the team’s planned didactical results are being achieved. The program has proved to stimulate an increase of soft skills among the students who participated and, in particular, among the computer science students. The detailed description of our process will allow others to implement and build similar events in their university or company environments, the focus of which is a Multinational, Intercultural, Multidisciplinary & Intensive (MIMI) methodology approach.

Previous studies have proposed many indicators to assess the effect of student engagement in learning and academic achievement but have not yet been clearly articulated. In addition, while student engagement tracking systems have been designed, they rely on the log data but not on performance data. This paper presents results of a non-machine learning model developed using ongoing formative assessment scores as indicators of student engagement. Visualisation of the classification tree results is employed as student engagement indicators for instructors to observe and intervene with students. The results of this study showed that ongoing assessment is related to student engagement and subsequent final programming exam performance and possible to identify students at-risk of failing the final exam. Finally, our study identified students impacted by the Covid-19 pandemic. These were students who attended the final programming exam in the semester 2019-2020 and who scored well in formative assessments. Based on these results we present a simple student engagement indicator and its potential application as a student progress monitor for early identification of students at risk.