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.
In this paper, we provide an examination of Spark, its functionalities, the challenges it tackles, its merits, limitations, and prospective trajectories.
This study reports the findings of a program that aims to develop pre-service science teachers’ computational problem-solving skills and views on using information and communications technology in science education. To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an algorithm, and Python coding, and then they were asked to solve problem situations determined within the science education program using the computational problem-solving process. The study was conducted in a faculty of education in Turkey and carried out conducted in an elective course in the spring semester of the 2019 - 2020 academic year (in an online platform due to the Covid-19 Pandemic). 38 pre-service science teachers were included in the study. In this process, pre-service science teachers’ conceptual development levels regarding computational thinking and their views regarding the use of ICT in schools were collected quantitatively. The development of computational problem-solving skills of pre-service science teachers was scored by a rubric developed in this study. According to the analyzes, pre-service science teachers increased knowledge of computational thinking (t = -5,969, p = .000), enhanced views regarding the use of ICT in schools (t = -2,436, p = .020), and developed computational problem-solving skills (χ2(2) = 9.000, p = 0,011). These findings have the potential to provide evidence on how computational problem-solving skills can be integrated into science teacher education programs.