The integration of computational thinking (CT) in mathematics education is increasingly important due to its intersections with mathematical thinking and its role in the 21st century. Recent years have seen a growing interest in the use of innovative tools to enhance mathematics education, including the exploration of gamification techniques to improve student engagement. While previous research suggests that the inclusion of CT activities at an early age can positively impact students’ motivation and CT skills, the potential benefits of incorporating gamification techniques into CT instruction remain unexplored. In this study, we investigated the impact of shallow and deep gamification techniques on the CT skills and the intrinsic and extrinsic motivation of second-grade students in a blended teaching sequence that combined both unplugged and plugged CT activities. A quasi-experimental design was used with a control group and an experimental group. The findings suggest that both shallow and deep gamification techniques can be effective in improving CT skills in young students, but deep gamification may have a stronger impact on motivation. These results contribute to the growing body of literature on the integration of gamification techniques in CT instruction.

In recent years, the concept of gamification has appeared within the educational sector as a methodological innovation. There are several studies that show the motivational advantages of using this methodology in education. However, there is a dearth of studies that analyse its influence on the promotion of reading. We carried out a quasi-experimental study with 85 fourth graders to evaluate the impact of a gamified platform on both the students’ reading comprehension and their attitudes towards reading. The results obtained revealed significant differences in favour of the experimental group with respect to a more traditional approach, regarding both reading comprehension and attitudes towards reading.

The COVID-19 pandemic led to the lockdown of schools in many countries, forcing teachers and students to carry out educational activities remotely. In the case of mathematics, developing remote instruction based on both synchronous and asynchronous technological solutions has proven to be an extremely complex challenge. Specifically, this was the case in topics such as word problem solving, as this domain requires intensive supervision and feedback from the teacher. In this piece of research, we present an evaluation of how technology is employed in the teaching of mathematics, with particular relevance to learning during the pandemic. For that purpose, we conducted a systematic review, revealing the almost complete absence of experiments in which the use of technology is not mediated by the teacher. These results reflect a pessimistic vision within the field of mathematics education about the possibilities of learning when the student uses technology autonomously. Bringing good outcomes out of a bad situation, the pandemic crisis may represent a turning point from which to start directing the research gaze towards technological environments such as those mediated by artificial intelligence. As an example, we provide a study illustrating to what extent intelligent tutoring systems can be cost-effective compared to one-to-one human tutoring and mathematic learning-oriented solutions for intensive supervision in the teaching of word problem solving, especially appropriate for remote settings. Despite the potential of these technologies, the experience also showed that student socioeconomic level was a determining factor in the participation rate with an intelligent tutoring system, regardless of whether or not the administration guaranteed students' access to technological resources during the COVID-19 situation.

This study evaluates the effectiveness of visual block programming-based instruction and its possibilities in the training of future teachers. In particular, the application Scratch, a visual programming environment, was employed to introduce pre-service teachers to programming. The study followed a mixed-method design with a sample of 79 pre-service teachers. A quantitative approach was used to evaluate the gains in the participants’ knowledge of computational concepts and attitudes towards Scratch as a pedagogic tool. A qualitative analysis aimed at evaluating the participants’ knowledge concerning programming applications, and their perception about possible difficulties in the implementation of programming in educational contexts. Positive results were obtained for programming in the classroom, with significant improvements in innovation, collaboration, active learning, motivation, and fun for the students. After the experiment, the subjects highlighted Scratch as a fundamental block programming tool and the need for teacher training in this field. The need to improve the implementation of visual block programming in Education Degree curricula is supported.

This study analyses the potential of a learning analytics (LA) based formative assessment to construct personalised teaching sequences in Mathematics for 5th‐grade primary school students. A total of 127 students from Spanish public schools participated in the study. The quasi‐experimental study was conducted over the course of six sessions, in which both control and experimental groups participated in a teaching sequence based on mathematical problems. In each session, both groups used audience response systems to record their responses to mathematical tasks about fractions. After each session, students from the control group were given generic homework on fractions—the same activities for all the participants—while students from the experimental group were given a personalised set of activities. The provision of personalised homework was based on the students' errors detected from the use of the LA‐based formative assessment. After the intervention, the results indicate a higher student level of understanding of the concept of fractions in the experimental group compared to the control group. Related to motivational dimensions, results indicated that instruction using audience response systems has a positive effect compared to regular mathematics classes. Practitioner notes: What is already known about this topic Developing an understanding of fractions is one of the most challenging concepts in elementary mathematics and a solid predictor of future achievements in mathematics. Learning analytics (LA) has the potential to provide quality, functional data for assessing and supporting learners' difficulties. Audience response systems (ARS) are one of the most practical ways to collect data for LA in classroom environments. There is a scarcity of field research implementations on LA mediated by ARS in real contexts of elementary school classrooms. What this paper adds Empirical evidence about how LA‐based formative assessments can enable personalised homework to support student understanding of fractions. Personalised homework based on an LA‐based formative assessment improves the students' comprehension of fractions. Using ARS for the teaching of fractions has a positive effect in terms of student motivation. Implications for practice and/or policy Teachers should be given LA/ARS tools that allow them to quickly provide students with personalised mathematical instruction. Researchers should continue exploring these potentially beneficial educational implementations in other areas.