Abstract:This study assessed how science, technology, engineering and mathematics (STEM) education is integrated in Science Teacher Education curriculum in Zimbabwe. An exploratory mixed methods research design, within the post-positivist paradigm, was used to guide the collection and analysis of data. Data were sourced from 18 Science teacher educators and 108 final year Science student teachers pooled from two secondary school Teachers’ Colleges through a semi-structured questionnaire, follow-up interviews, focusgroups and documents. From the findings, it was evident that although a lot was done to promote STEM literacy in the two colleges, integration of STEM education and practices into the science education curriculum was coincidental rather than planned. Participation in Science exhibitions at local and national level that was common and increased enrolment of teacher candidates in STEM subjects was viewed as major ways to promote the initiative in the Teachers’ Colleges. However, support that targeted a teacher education STEM curriculum and integration/liaison with Engineering and industry was largely found lacking, suggesting the need for practices such as field-trips, work visits and partnerships that foster closer collaboration between colleges, schools, professional scientists and industry.
As the world struggles with the COVID pandemic, one question that keeps coming up in conversations
among educators is how to teach students amid the uncertainty. Specifically, the difficulty is with
teaching subjects that require hands-on learning in order to master the concepts and make them one’s
own. Today, however, I would like to pose a different, more global question: How can we help
students identify with science in a deeper, more meaningful way? How can we help students
develop what is known as science identity?
Abstract: The present study was conducted to further explore gender-based differences in the experience of statistics anxiety among graduate students. A sample of 75 graduate students from a mid-sized research university in the southeastern United States were recruited to participate in a survey concerning statistics anxiety. Data were analyzed using multivariate analysis of covariance and discriminant analysis. Using the Statistics Anxiety Rating Scale, students’ statistics anxiety was measured. After accounting for age, the findings revealed a significant gender difference in statistics anxiety. A significant covariate effect of age indicated that older graduate students reported experiencing higher levels of anxiety as compared to their younger peers. Age accounted for 21% of variance in the combined statistics anxiety subscales. Analysis further revealed that males experienced higher levels of anxiety when seeking statistics help from a fellow student or a professor than did females. Implications for the design of statistics courses are discussed.