Effective schools,school segregation,and the link with school achievement

This study examines whether 3 teacher-rated aspects of school effectiveness differ across school segregation profiles in Stockholm, and to what extent these indicators are associated with the academic achievement of 9th-grade students. Analyses were based on 2 cross-sectional data collections performed in 2014 and 2016, respectively (147 school units), one among teachers (n = 2,024) and the other among 9th-grade students (n = 9,151). Multilevel analysis was applied, estimating 2-level random intercept linear regression models. Results show that teachers’ ratings of school leadership, teacher cooperation, and school ethos, as well as student-reported marks differ across school segregation profiles. Findings further reveal significant associations between these school effectiveness indicators and student performance, even when taking student family background and the school’s student body composition into consideration. In part, these associations are also identified within segregation profiles. Moreover, results show that school ethos acts as a mediator between school segregation profile and student achievement.     

Engagement in business simulation games: A self-system model of motivational development

This research draws on the self-system model of motivational development to explain how the use of business simulation games in class facilitates students’ engagement and enhances their learning. Based on a survey of 360 undergraduate students who played a business simulation game in a marketing course, the findings show that students’ perceptions of competence, autonomy, relatedness and self-efficacy have a positive impact on their cognitive, emotional and behavioural engagement. In addition, cognitive and emotional engagement have a positive influence on skills development and perceived learning.     

The timing of middle-childhood peer rejection and friendship: linking early behavior to early-adolescent adjustment

This study used a sample of 551 children surveyed yearly from ages 6 to 13 to examine the longitudinal associations among early behavior, middle-childhood peer rejection and friendedness, and early-adolescent depressive symptoms, loneliness, and delinquency. The study tested a sequential mediation hypothesis in which (a) behavior problems in the early school years are associated with middle-childhood peer rejection and (b) rejection, in turn, leads to lower friendedness and subsequently higher adolescent internalizing--but not externalizing--problems. Results supported this sequential mediation model for internalizing outcomes and revealed an additional path from early disruptiveness to loneliness via peer rejection alone. No evidence of sequential mediation was observed for delinquency.     

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