STATISTICS EDUCATION RESEARCH JOURNAL
https://iase-pub.org/ojs/SERJ
<p><em>SERJ</em> is a peer-reviewed electronic journal of the International Association for Statistical Education (IASE) and the International Statistical Institute (ISI). <em>SERJ</em> is published three times year and is open access and publication cost free.</p>International Association for Statistical Educationen-USSTATISTICS EDUCATION RESEARCH JOURNAL1570-1824Determinants of secondary school teachers’ attitudes towards probability and its teaching
https://iase-pub.org/ojs/SERJ/article/view/751
<p>Probability literacy has gained importance in educational curricula. The aim of this research was to analyse secondary education teachers’ attitudes towards probability and its teaching and to examine differences across the factors of gender, academic training, and work experience. From a positivist paradigm, a quantitative methodology was used. The sample consisted of 185 in-service teachers, and the instrument used was the Attitudes Towards Probability and Its Teaching questionnaire. The results suggested that gender had no effect on teachers’ attitudes, but having a mathematics background was associated with a relevant weight on teachers’ attitudes. Work experience presented a medium effect on the behavioural aspect of the teaching probability dimension, with better attitudes among teachers who had more work experience. This led us to acknowledge the importance of disciplinary knowledge in both initial and continuing training.</p>Ane IzagirreJon AnasagastiAinhoa Berciano
Copyright (c) 2025 STATISTICS EDUCATION RESEARCH JOURNAL
2025-03-272025-03-272422210.52041/serj.v24i2.751Preservice teachers interpreting and acting on students’ responses to a probability problem
https://iase-pub.org/ojs/SERJ/article/view/819
<p>To ensure the learning of mathematics, teachers must be able to analyse their students’ mathematical practices when solving tasks, interpret the difficulties that students encounter, and decide how to manage students’ difficulties. This competence in didactic analysis and intervention allows teachers to adapt their teaching to meet individual student needs. In this paper, we analyse how preservice teachers interpreted students’ responses to a task involving the proportional determination of probabilities and understanding the sample space. We propose didactic strategies that help students overcome difficulties. The results revealed the difficulties some preservice teachers experienced in adequately interpreting student responses and making informed decisions to improve learning.</p>María del Mar López-MartínMaría Burgos NavarroVerónica Albanese
Copyright (c) 2025 STATISTICS EDUCATION RESEARCH JOURNAL
2025-04-102025-04-102423310.52041/serj.v24i2.819Which measure of central tendency is most useful? Grade 6 students’ expressed statistical literacy
https://iase-pub.org/ojs/SERJ/article/view/811
<p>Recently, the importance of statistical literacy has been stressed, and three central concepts in statistical literacy are the measures of central tendency: mean, median, and mode. This study explores aspects of statistical literacy expressed by 12–13-year-old students, focusing on mean, median, and mode. Their responses were analysed using a framework of statistical literacy that includes knowledge and dispositional elements. The results showed that students’ descriptions of the measures were mainly based on mathematical and vocabulary knowledge. When discussing what measure was easiest or hardest to explain, a variety of conceptions were expressed. Some explanations about the usefulness of the measures were related to context knowledge. Here, the median was an exception as students gave neither examples of contexts nor found the median useful outside the classroom.</p>Karin LandtblomLovisa Sumpter
Copyright (c) 2025 STATISTICS EDUCATION RESEARCH JOURNAL
2025-05-242025-05-242424410.52041/serj.v24i2.811Enhancing data literacy through (virtual) reality: A pedagogical intervention research on the sub-skill of data collection
https://iase-pub.org/ojs/SERJ/article/view/861
<p>Proficient handling of data is a skill gaining importance with the increasing amount and availability of data. Therefore, promoting data literacy should begin in everyday school life. The foundation for this is formed by competence models for data literacy, which include the sub-skill of data collection that has so far been inadequately considered in K–12 education. This study investigates the relevance of data collection through pedagogical intervention research with learners aged 14 to 17 years. The evaluation highlights the benefits of personal data collection—data collection in one’s own environment and in virtual reality—as part of a holistic approach to teaching data literacy. This work extends existing approaches regarding the importance of data collected by students for their own use through sensors for a reflective and critical understanding of data.</p>Verena WitteAngela SchweringDaniel Frischemeier
Copyright (c) 2025 STATISTICS EDUCATION RESEARCH JOURNAL
2025-11-092025-11-092425510.52041/serj.v24i2.861SERJ 2025 Reviewer Acknowledgment
https://iase-pub.org/ojs/SERJ/article/view/997
Susan Peters
Copyright (c) 2025 STATISTICS EDUCATION RESEARCH JOURNAL
2025-11-092025-11-0924210.52041/serj.v24i2.997Editorial
https://iase-pub.org/ojs/SERJ/article/view/998
Susan Peters
Copyright (c) 2025 STATISTICS EDUCATION RESEARCH JOURNAL
2025-11-092025-11-092421110.52041/serj.v24i2.998