Perspectives on Sámi Mathematics Education

The Sámi are an indigenous people of the Arctic, and through a resolution of the United Nations, Norway is bound to take care of the Sámi culture and language. Since 1987 the Sámi have had their own curriculum, but they have no mathematics syllabus. In this paper we summarize the legal acts that take care of the Sámi culture within the Norwegian educational system, and then discuss three examples of Sámi mathematics, which can be part of a possible Sámi mathematics syllabus. First, a unit of measurement is presented, second, a unique way of treating the ratios 2:1 and 1:2 is described, and finally the use of some Sámi versus Norwegian geometry terms are exposed. The three examples are situated in relation to the Yup’ik Eskimo Mathematics in a Cultural Context (MCC), as described by Lipka, Webster, and Yanez (2005) and their contribution in this special issue of Interchange.     

A High-Enrollment Course-Based Undergraduate Research Experience Improves Student Conceptions of Scientific Thinking and Ability to Interpret Data

We present an innovative course-based undergraduate research experience curriculum focused on the characterization of single point mutations in p53, a tumor suppressor gene that is mutated in more than 50% of human cancers. This course is required of all introductory biology students, so all biology majors engage in a research project as part of their training. Using a set of open-ended written prompts, we found that the course shifts student conceptions of what it means to think like a scientist from novice to more expert-like. Students at the end of the course identified experimental repetition, data analysis, and collaboration as important elements of thinking like a scientist. Course exams revealed that students showed gains in their ability to analyze and interpret data. These data indicate that this course-embedded research experience has a positive impact on the development of students’ conceptions and practice of scientific thinking.     

Foundations of dynamic learning analytics: Using university student data to increase retention

With digitisation and the rise of e‐learning have come a range of computational tools and approaches that have allowed educators to better support the learners' experience in schools, colleges and universities. The move away from traditional paper‐based course materials, registration, admissions and support services to the mobile, always‐on and always accessible data has driven demand for information and generated new forms of data observable through consumption behaviours. These changes have led to a plethora of data sets that store learning content and track user behaviours. Most recently, new data analytics approaches are creating new ways of understanding trends and behaviours in students that can be used to improve learning design, strengthen student retention, provide early warning signals concerning individual students and help to personalise the learner's experience. This paper proposes a foundational learning analytics model (LAM) for higher education that focuses on the dynamic interaction of stakeholders with their data supported by visual analytics, such as self‐organising maps, to generate conversations, shared inquiry and solution‐seeking. The model can be applied for other educational institutions interested in using learning analytics processes to support personalised learning and support services. Further work is testing its efficacy in increasing student retention rates.     

Wentzel,Kathryn R & Brophy,Jere E (2014) Motivating students to learn Routledge (New York & London) isbn 978‐0‐415‐89352‐7 301 pp £39.99 http://www.routledge.com/books/details/9780415893527/

The authors of Motivating students to learn offer teachers evidence‐based classroom strategies to motivate their students. This fourth edition draws comprehensively on current psychological and educational research on student motivation and extrapolates this to implications for teaching practice in the classroom. This book's aim is primarily school teachers but it may also be of interest to people in further and higher education. If you think this book's content could be relevant, I suggest you borrow a copy to decide whether it's worth buying. Sara Hammer     

Attracting Students to the Field of Measurement

To address the shortage of professionals in measurement, it is essential that we make young career‐seekers aware that measurement is an option as a profession. In this paper, we discuss how creating a strong pipeline of students into our field involves personal interactions between faculty representing the graduate programs in measurement and undergraduate students, in addition to the equally important task of educating instructors of undergraduates about our field. We describe advertising strategies that, in our experience, catch and hold the attention of undergraduates, resulting in many of them investigating graduate training in measurement. After attracting students to the field, we must engage them in practice, enabling them to build an identity as a measurement professional. In general, we believe that although it is possible to attract some students via non‐personal advertising strategies (e.g., articles, websites), measurement professionals must personally reach out to young people to connect them with the field.     

The influence of warning messages on the public's perception of substance use: A theoretical framework

We bring different theories together to develop a theoretical framework that helps to understand how early warning messages about (new) dangerous drugs can influence the public's perception of substance use. We bring together the agenda setting theory, framing theory, dual processing theory, social learning theory, health belief model, theory of planned behavior, and cultivation theory in order to explain how warning messages diffused through the mass media can have an impact on the receivers' perceptions. Based on these insights we construct the Integrated Media Effect Framework (IMFE) that takes into account the role of cultural and structural contexts in the realm of early warning systems (EWS). Ultimately, this framework provides valuable guidelines for conceptualizing EWS and for developing applications by governments.     

Do previous sports experiences influence the effect of an enrichment programme in basketball skills?

The aim of this study was to examine the effect of an enrichment programme in motor, technical and tactical basketball skills, when accounting for the age of youth sport specialisation. Seventy-six college students (age: M = 20.4, SD = 1.9) were allocated according to three different paths: (i) non-structured (n = 14), (ii) early specialisation (n = 34), and (iii) late specialisation (n = 28), according to information previously provided by the participants about the quantity and type of sporting activities performed throughout their sporting careers. Then, the participants of each path were randomly distributed across control and experimental groups. Variables under study included agility, technical skills circuit, as well as tactical actions performed in a 4-on-4 full-court basketball game. The results indicated improvements in the early and late specialisation paths namely in the experimental training groups. However, the late specialisation path revealed larger benefits, in contrast with the non-structured path, which showed less sensitivity to the enrichment programme, mostly sustained in physical literacy and differential learning. Higher improvements were observed in agility, and also in reducing the number of unsuccessful actions performed during the game. Overall, this study provided evidence of how early sports experiences affect basketball skill acquisition and contribute to adapt to new contexts with motor and technical-tactical challenges. In addition, a path supported by late specialisation might present several advantages in sport performance achievement.