Informatics in Education

The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of NiklausWirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can teachers still not agree on suitable languages for novice programming? Why do we not have a programming language that is designed for education and in widespread use across the world? This paper enumerates and describes educational language design principles in the context of current systems and technologies and discusses why interpretation of these principles shifts as our discipline progresses. We evaluate what these principles mean in our current world, and why a common agreement has not developed. We discuss the relative benefits of pedagogical languages vs. industry languages and articulate why every generation of learners needs their own language.

This autoethnographic paper is part of a special issue trying to answer the question “How to design or choose languages for programming novices?” I will describe howmy programming language Hedy was created, how the initial design goals were formed, how my perspectives on learning and teaching changed along the way, and how Hedy changed with it. The paper also discusses how the Hedy community came to be. Hedy was initially made for my own classroom and teaching, but quickly attracted a community, which I learned a lot from. This special issue has given me a unique opportunity, after 5 years of working on Hedy, to reflect on the process and to learn from it myself, and will hopefully also allow other programming language designers to learn from.

In this paper, we show the impact of Pascal on numerical software. Using recursion, a new and elegant algorithm for quadrature could be developed.

Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts an innovative formal language and a rich set of features. Unlike traditional platforms, Spark emphasizes computational problem solving over programming syntax, making it accessible to learners of all levels. With progressively challenging levels and an intuitive graphical interface, students engage in problem solving, content creation, and collaboration within the MyQ community. Using Spark makes it less probable for students to utilize generative AI (GAI) to solve challenges, thereby sparing teachers the struggle of assessing tasks that might have been accomplished using GAI.

The work of Niklaus Wirth, designer of the Pascal programming language, has led to the introduction of programming in schools in many countries often leading to a transformation in the way of thinking. In this article, we provide a retrospective analysis of the Lithuanian experience driven by Pascal and discuss the main ideas about teaching programming originating from this experience. We conducted a qualitative study by means of interviews with experts involved in the development of programming education during its early phases to examine their memories and perspectives.

CODAP is a widely-used programming environment for secondary school data science. Its direct-manipulation–based design offers many advantages to learners, especially younger students. Unfortunately, these same advantages can become a liability when it comes to repeating operations consistently, replaying operations (for reproducibility), and also for learning abstraction.

Niklaus Wirth, one of the most influential pioneers of computer science, passed away in Zurich on January 1st of this year. His contributions to software engineering and especially to programming languages are fundamental, unique, and simply amazing. And they have had a huge impact on computer science education worldwide. His concept of simplicity and transparency has changed the style of programming and moved technical coding to enjoyable, creative work. This opened a new dimension in education. Learning by creative work, developing one’s own products, and then starting to investigate their functionality and properties in order to work on their improvements in a never-ending loop.

Programmed control systems are ubiquitous in the present-day world. In current educational practice, however, these systems are hardly being addressed, and little is known about children’s spontaneous understandings about such systems. Therefore, we explored pupils’ understandings prior to instruction in three concrete settings: a car park, an elevator, and an autonomous robot. We analysed written responses from 49 Grade 3 (aged 7 to 10) and Grade 6 pupils (aged 10 to 13) to assess their understandings from two perspectives: the user and the system programmer perspective. Results indicate that most pupils were capable describing programmed systems from a user perspective point of view but found it hard to describe the system programmer perspective. Substantial differences were found between the contexts. The car park context evoked richer descriptions for the user perspective and the system programmer perspective in comparison to the elevator and autonomous robot contexts.

The insertion of Machine Learning (ML) in everyday life demonstrates the importance of popularizing an understanding of ML already in school. Accompanying this trend arises the need to assess the students’ learning. Yet, so far, few assessments have been proposed, most lacking an evaluation. Therefore, we evaluate the reliability and validity of an automated assessment of the students’ learning of an image classification model created as a learning outcome of the “ML for All!” course. Results based on data collected from 240 students indicate that the assessment can be considered reliable (coefficient Omega = 0.834/Cronbach's alpha α=0.83). We also identified moderate to strong convergent and discriminant validity based on the polychoric correlation matrix. Factor analyses indicate two underlying factors “Data Management and Model Training” and “Performance Interpretation”, completing each other. These results can guide the improvement of assessments, as well as the decision on the application of this model in order to support ML education as part of a comprehensive assessment.

In this study, we aimed to investigate the impact of cooperative learning on the computational thinking skills and academic performances of middle school students in the computational problem-solving approach. We used the pretest-posttest control group design of the quasi-experimental method. In the research, computational problem-solving activities regarding 6th graders' goals of the "heat and matter" unit, were applied individually by Group 1 and cooperative learning by Group 2. These activities required students to use computational thinking skills and code using the Python programming language. The study involved 34 students from the 6th grade of a private middle school located in the capital city of Turkey. The Computational Thinking Test (CTt) and an academic achievement test were used as pre-tests and post-tests to monitor students' computational thinking skills and academic performances. Additionally, computational problem-solving activities were scored to track the progress of students' computational thinking abilities. Non-parametric Mann Whitney U and Wilcoxon T-tests were utilized to analyze the progression of pupils' computational thinking abilities and academic success, and ANCOVA was used to analyze CTt scores. Qualitative data were collected through semi-structured interviews at the end of the process to determine students' views on the computational problem-solving process. Results revealed a significant increase in students' academic achievement and computational thinking skills in both groups. A comparison of post-test scores showed no significant difference between groups. It is anticipated that the research results will make meaningful contributions to the literature concerning the progress of computational thinking skills in secondary school students.