Middle school students often enter Computer Science (CS) classes without previous CS or Computational Thinking (CT) instruction. This study evaluated how Code.org's block-based programming curriculum affects middle school students' CT skills and attitudes toward CT and CS. Sixteen students participated in the study. This was a mixed methods action…

The study focuses on the identification of relationships and/or rules between computational thinking (CT) concepts among the undergraduate students of Applied Informatics due to their attitudes towards mathematics. We analyze three CT concepts -- decomposition, pattern recognition, and algorithmic thinking. We assume that students who have a…

This research proposes a methodological approach to using the social network Instagram® as a tool for collaborative e-learning activities in higher education. Collaborative e-learning activities are conducted on Instagram® through challenges and quizzes. The main aim of these activities is to encourage students' creativity, motivation for…

Over the past fifty years, extensive research has examined the influence of causal attributions on cognitions, emotions, and behaviours in educational contexts. However, these studies often relied on inferences about dimensional properties of attributions, and not on students' perceptions of them. This study innovates by directly assessing these…

MOOCs can be considered as a powerful alternative in extraordinary situations where people cannot reach formal education. In recent years, the widespread use of the internet worldwide and especially the COVID-19 has increased the need of people for MOOCs. However, in order to increase the effectiveness of MOOCs, and to provide a better learning…

This study explored students' mathematics-related beliefs and the relationship between the beliefs and their strategies for solving non-routine mathematical problems. The study was guided by Daskalogianni and Simpson's 2001 belief systems categories and strategies for non-routine mathematical problems. The participants were 625 grade 11 students…

Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played…

This study reports on the findings of a questionnaire administered to 93 students studying Japanese as a foreign language (JFL) at British universities, focusing on their views of the role of grammar in their learning of Japanese. Learners' views are important because mismatches with their teachers' views can affect their learning negatively.…