International Journal of Science and Mathematics Education最新文献

Transitions between educational levels have been identified as posing potential barriers for students’ sense of belonging in science. In this paper, we focus on the transition from lower secondary to upper secondary school while foregrounding physics as a subject. We approach transitions as an ongoing negotiation-process of identities embedded within the norms, practices, and expectations of physics. Methodologically, we narrow the focus to students who self-identify as female, as these are underrepresented in physics worldwide. We apply the analytical lens of physics identity constructed through competence, performance, interest, and recognition while drawing on the concept of the ideal student to understand what identities are idealized and marginalized, and how these are negotiated by the students. We found that a large group of the students were marginalized in relation to their interests in physics and experienced learning physics to be instrumental and meaningless. Only a small group were able to form a sense of identity mainly due to the resemblances of physics to mathematics. In conclusion we call for attention on who counts as knowledgeable and what counts as knowledge in the physics classroom. Second, we wish to question interests as imperative for being in physics. Lastly, we urge reflection on mathematics’ role in physics and what physics is without mathematics to disrupt the elite status of the subject.

In recent years, there has been a growing effort to deepen our understanding of the complexities and mechanisms involved in integrating technology into mathematics education. This pursuit has led to the emergence of various theoretical frameworks, among which the Structuring Features of Classroom Practice (SFCP) (Ruthven, 2009) stands out. This paper presents a thorough review of the SFCP framework and its fundamental components, with a particular emphasis on its utilisation in examining teachers’ domain-specific classroom practices involving digital technology. Drawing upon data from a recent multiple case study, this paper aims to illustrate the adoption and operationalisation of the SFCP in analysing how secondary mathematics teachers integrate dynamic digital tools into their practices as they teach the mathematical domain of geometric similarity. By contributing to the testing and refinement of the SFCP, this paper advances our comprehension of this innovative yet promising framework. Additionally, it provides a demonstration of its practical application and offers a critical reflection on its utility in exploring teachers’ everyday classroom practices involving technology for teaching specific mathematical concepts.

This study analyzes the mathematical knowledge to teach early algebra exhibited by pre-service early childhood education teachers, from the perspective of the Mathematical Knowledge for Teaching (MKT) model. The research adopts a mixed exploratory-descriptive methodological approach, based on the application of the MKT-early algebra questionnaire (3–6), consisting of six open-ended items that place teachers in various teaching situations reflecting the knowledge that characterizes early algebra at this stage of schooling. The analysis of the answers given by the pre-service teachers of early childhood education revealed a level general of insufficient mathematical knowledge, with the common content knowledge exhibiting fewer limitations compared to the other subdomains that comprise the model, and the horizon content knowledge the weakest. We conclude that it is necessary to offer teacher training programs that deepen the didactics of early algebra and provide tools to further the effective teaching of this content block in early childhood education.

Scientific reasoning competencies (SRC) are an area of competence emphasized in science education and are considered essential in the world of 21^st Century skills. Developing these competencies is important for all levels of education, from primary school to university. However, to accurately measure them, measurement tools with validity and reliable evidence are needed. The current study was conducted with two different sample groups. In Study-1 (n = 155), the SRC test consisting of 21 items was adapted into Turkish, and evidence of its validity and reliability was presented. To this end, the Turkish adaptation of the SRC test, which was previously developed and tested for validity in different languages, was conducted in a sample of primary school teacher candidates. In Study-2 (n = 483), the relationship between SRC and epistemological beliefs and analytic thinking skills was examined. Regression analysis showed that epistemological beliefs and analytic thinking were significant predictors of SRC. The study and discussion offer implications for future research on the relationship between SRC and other thinking skills not examined in this research.

The importance of integrating effective teaching strategies in Professional Development (PD) programs for Educational Robotics (ER)-based Science Technology Engineering and Mathematics (STEM) education is increasingly recognized. However, we need to add to the growing body of studies on comprehensive instructional approaches for teaching robotics to educators within PD STEM environments. This study investigates the effects of the modified P3 task taxonomy enriched ER-based STEM PD course on science, mathematics, and computer science teachers’ STEM knowledge. The taxonomy denotes a strategy utilized to teach high school students ER. Twenty in-service teachers participated in the study, attended a 24-hour PD program in which they were taught how to use Arduino robotics kits, were assigned three tasks, and were engaged in creating lesson plans incorporating ER into their regular teaching practices. The one-group pre and post-test experimental design was adopted in the study. The instruments included a science, robotics, and mathematics content knowledge test administered before and after the PD program. Moreover, the variations in mean scores for both the pre-test and post-test, pertaining to knowledge in science, mathematics, and robotics, were demonstrated. Using a paired-sample t-test, we found that the P3 task taxonomy scaffolded PD program had statistically significant impacts with large effect sizes in robotics (2.08), science (1.49), and mathematics (0.92). These results hold important implications, suggesting that the P3 task taxonomy offers a new approach beyond learning by design, the 5E model, and project-based learning for scaffolding PD in ER settings.

To identify the research trends in studies related to STEM Clubs, 56 publications that met the inclusion and extraction criteria were identified from the online databases ERIC and WoS in this study. These studies were analysed by using the descriptive content analysis research method based on the Paper Classification Form (PCF), which includes publishing years, keywords, research methods, sample levels and sizes, data collection tools, data analysis methods, durations, purposes, and findings. The findings showed that, the keywords in the studies were used under six different categories: disciplines, technological concepts, academic community, learning experiences, core elements of education, and psychosocial factors (variables). Case studies were frequently employed, with middle school students serving as the main participants in sample groups ranging from 11–15, 16–20, and 201–250. Surveys, questionnaires, and observations were the primary methods of data collection, and descriptive analysis was commonly used for data analysis. STEM Clubs had sessions ranging from 2 to 16 weeks, with each session commonly lasting 60 to 120 min. The study purposes mainly focused on four themes: the impact of participation on various aspects such as attitudes towards STEM disciplines, career paths, STEM major selection, and academic achievement; the development and implementation of a sample STEM Club program, including challenges and limitations; the examination of students' experiences, perceptions, and factors influencing their involvement and choice of STEM majors; the identification of some aspects such as attitudinal effects and non-academic skills; and the comparison of STEM experiences between in-school and out-of-school settings. The study results mainly focused on three themes: the increase in various aspects such as academic achievement, STEM major choice, engagement in STEM clubs, identity, interest in STEM, collaboration-communication skills; the design of STEM Clubs, including sample implementations, design principles, challenges, and factors affecting their success and sustainability; and the identification of factors influencing participation, motivation, and barriers. Overall, this study provides a comprehensive understanding of STEM Clubs, leading the way for more targeted and informed future research endeavours.

In 2014, the NIH Diversity Program Consortium (DPC) launched an initiative to implement and evaluate novel interventions at a variety of academic institutions across the country to engage undergraduate students from diverse backgrounds in biomedically-related research. The local intervention examined in the current study provides Critical Race Theory (CRT)-informed mentoring, more broadly called critical mentoring, for its participants. We examined the relationship between critical mentoring and student outcomes. In this study, student outcomes consisted of three components: (a) mentor satisfaction, (b) science identity, and (c) science self-efficacy. To determine student outcomes, we used the 2020 Student Annual Follow-up Survey (SAFS). We found that participants in the intervention program reported higher levels of critical mentoring than non-intervention participants and critical mentoring was, in turn, predictive of higher. mentorship satisfaction, science identity, and science self-efficacy. This finding implies that the CRT-informed intervention was more effective by developing an environment in which high-quality, critical mentors influenced students’ sense of science identity and self-efficacy. Additionally, we also found that intervention participants reported higher science identity and science self-efficacy than non-intervention participants, which suggests that the intervention cultivated science identity and self-efficacy in other ways outside of critical mentorship as well. The current study highlights how participation in an intervention program can increase science identity and self-efficacy, two factors predictive of science career intentions. The connection between critical mentoring practices and increased science identity and self-efficacy underscores the significance of culturally and racially relevant social support in science education.

The modeling approach is used to prepare students to become responsible citizens and face the challenges and demands of modern times, mainly when they engage in modeling activities using digital tools. This study investigates the features of digital tools used in modeling processes among prospective teachers. Thirty-two prospective mathematics teachers participated in this study, and data were collected from video recordings of their participation in three modeling activities involving digital tools. The study’s findings indicate that in the first activity, most of the groups of participants used digital tools in the mathematical phases and actions of the modeling processes. However, in the final activity, participants used digital tools throughout most of the modeling processes. The findings also show that the level of digital tool utilization was neither dependent on time nor a specific activity. However, the average level of digital tool utilization illustrates that changes occurred between the first and the last activities in most of the modeling phases/actions. These changes in the utilization of digital tools rely on the sophistication of the digital functions being used. This means that the participants changed how they used digital tools, shifting from using them at a basic level to using the more sophisticated functions found in digital tools.