This study aims to evaluate the teaching of the programming process carried out through scenarios related to daily life within the framework of Reverse Engineering and the Theory of Didactical Situations. The sample of the study consists of 15 prospective computer and instructional technology education teachers. Quantitative and qualitative data…

Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…

Using robot programming activities for learning in the classroom is one way to drive interest and engagement in the STEM field among students, especially girls. And this is afield that is particularly characterized by an underrepresentation of women. Accordingly, many countries are increasingly integrating activities related to computer science…

This study aimed to visualize self-regulated learning (SRL) behaviors performed by users from an online teacher professional development platform called the EdHub Library using the pm4py algorithm in Python to parse event data during the first 30 days of the school year and the first 90 days of the COVID-19 pandemic in March 2020. Process mining…

This study developed a scale to assess high school students' programming disposition. The scale was developed by utilizing a standardized test development process. The three constructs of the scale, namely confidence, persistence and flexible thinking, consisted of 9 items (3 items on each construct). Participants for the formal test of the scale…

This study aims to explore the usability of the virtual robotics programming curriculum (VRP-C) for robotics programming teaching. Pre-service computer science (CS) teachers were trained for robotics programming teaching by using VRP-C in a scientific education activity. After training, views of the participants were revealed by using a scale and…

This study examined the effects of an Arduino microrobot activity on college students' interest in robotics through three specific objectives: (1) determining how students' conceptual understanding regarding the basics of microcomputing and computer programming changes after engaging in an engineering robotics learning module, (2) assessing the…

Rough set theory (RST) was proposed by Zdzistaw Pawlak (Pawlak,1982) as a methodology for data analysis using the notion of discernibility of objects based on their attribute values. The main advantage of using RST approach is that it does not need additional assumptions--like data distribution in statistical analysis. Besides, it provides…

Until now, there has been very little unified analysis of metadiscourse across speech and writing. Drawing on a reflexive metadiscourse model, this article conducts a multidimensional analysis of metadiscourse across 10 spoken and written registers in a corpus of 626 texts. Two metadiscourse dimensions, participants' interaction and discourse…

As open-access institutions serving diverse student populations, community colleges are perfect settings for broadening participation in computing efforts in higher education. The very nature of open access, however, places students with a wide variety of previous experience in the same introductory computer science classroom, intimidating the…

The proliferation of screen-free programmable robotics allows teachers to implement age-appropriate integrated activities that can promote child learning and development. However, very scarce is known about the challenges of using programmable robots as a tool to empower children in minority communities. This mixed-methods case study examined a…

The study develops a method for monitoring and management of the quality of educational programs using software instruments. The method describes each of the monitoring implementation stages in detail specifying the input and output data, as well as the controls that affect the time and quality of the implementation of the corresponding stage.…

The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…

We characterize the recently included programming content in Swedish mathematics textbooks for elementary school. Especially, the connection between programming content and traditional mathematical content has been considered. The analytical tools used are based on the so-called 5E's, a theoretical framework of action, developed within the…

In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…