Implementation of anti-bullying lessons in primary classrooms: how important is head teacher support?

Background: Evidence suggests that the KiVa anti-bullying programme may contribute to a reduction in bullying and victimisation, especially in primary school level. What is more, the level of implementation moderates the programme effects: the more the programme was implemented, the more bullying was reduced.Purpose: Consequently, it is of interest to investigate the factors affecting the implementation of the KiVa anti-bullying programme. We analysed whether teachers’ perceptions of support from the head teacher predicted the implementation adherence of the programme.Sample: We used a randomised sample of 93 Grade 1–3 (students’ age 7–9 years) teachers in 27 Finnish primary schools.Design and methods: Online surveys on perceptions of two types of head teacher support: (1) general support as a superior and (2) programme support for the KiVa anti-bullying programme were administered to the teachers; written observational reports on implementation adherence (frequency, contents and duration) were also utilised. Data was collected during the academic year 2008–2009. Effects of head teacher support on implementation adherence were modelled both at the teacher level and at the school level.Results: On average, implementation adherence of the student lessons was good. Teacher’s experience of programme support from the head teacher was positively related to implementation adherence, whereas, surprisingly, teacher’s experience of general support did not enhance implementation and was even negatively related to it.Conclusions: The school-based prevention and intervention programmes are delivered through social systems and individuals, and they inevitably trigger multilevel dynamics. Implementation is not only the responsibility of individual teachers but it happens in the context of the school community, the head teacher and the local-level resources and policies.     

Visualizing spatial tasks: A comparison of computer graphic and full-band video displays

Three spatial tasks were created in two forms, as video and as computer graphics. Both forms of each task were presented to third graders, middle schoolers, and adults preferred working with the video but were more accurate working with computer graphics. Third graders preferred the computer but were equally successful working with both displays. The study suggests that the expectations with which students approach an instructional technology may determine the effectiveness of that technology more than characteristics of the technology in question.     

Measuring the influence of mere exposure effect of TV commercial adverts on purchase behavior based on machine learning prediction models

Since its introduction, television has been the main channel of investment for advertisements in order to influence customers purchase behavior. Many have attributed the mere exposure effect as the source of influence in purchase intention and purchase decision; however, most of the studies of television advertisement effects are not only outdated, but their sample size is questionable and their environments do not reflect reality. With the advent of the internet, social media and new information technologies, many recent studies focus on the effects of online advertisement, meanwhile the investment in television advertisement still has not declined. In response to this, we applied machine learning algorithms SVM and XGBoost, as well as Logistic Regression, to construct a number of prediction models based on at-home advertisement exposure time and demographic data, examining the predictability of Actual Purchase and Purchase Intention behaviors of 3000 customers across 36 different products during the span of 3 months. If we were able to predict purchase behaviors with models based on exposure time more reliably than with models based on demographic data, the obvious strategy for businesses would be to increase the number of adverts. On the other hand, if models based on exposure time had unreliable predictability in contrast to models based on demographic data, doubts would surface about the effectiveness of the hard investment in television advertising. Based on our results, we found that models based on advert exposure time were consistently low in their predictability in comparison with models based on demographic data only, and with models based on both demographic data and exposure time data. We also found that there was not a statistically significant difference between these last two kinds of models. This suggests that advert exposure time has little to no effect in the short-term in increasing positive actual purchase behavior.     

Near-peer teaching in an anatomy course with a low faculty-to-student ratio

Near-peer teaching is an educational format which utilizes tutors who are more advanced in a curriculum's content to supervise students' activities and to act as instructors in laboratory settings. This format is often used in anatomy laboratory courses. The goal of the present study is to describe the design and implementation of near-peer teaching in an anatomy course and to evaluate students' perceptions of the program. A total of 700 students were registered for this anatomy course which employed near-peer instructors. Of enrolled students, 558 (79.7%) agreed to participate in this study. In general, the practical section (e.g., the clinical hour, image-based anatomy session, and gross anatomy laboratory) of the course was viewed more favorably compared to the theory section (54.8%, n = 306), with dissection and prosection in the laboratory rated as the most valued experiences (34.9%, n = 195). Near-peer teaching is a viable option that satisfies the demands of modern curricula using small groups. This format stimulates learning within courses that have large numbers of students and low faculty-to-student ratios.     

Human and non-human intermediation in rural agricultural markets

ABSTRACT

A central trope of the information society is that of ‘information flows.’ The implicit assumption underlying such a vision involves the removal of gatekeepers and intermediaries who are perceived to impede such flows. Drawing from field research on information circulation, trade, and money in rural markets in Myanmar and India, we show why intermediaries persist alongside information and communication technologies (ICTs) in trade and financial transactions in the ‘Information Age.’ We examine the range of roles, (human and non-human) actors, and material practices that are involved in conducting financial transactions, and we show the importance of historical legacies and politics in explaining why both cash and financial intermediaries persist in the digital age. Focusing on the different value that human and non-human intermediaries bring to financial encounters helps explain what characteristics make each resilient or replaceable in a time of change. By situating intermediaries and mediations in the social relations within which they operate, we bring back the role of power and politics – an element that is often missing in accounts focused on the unmediated and ‘free’ circulation of information using ICTs – in explaining processes of mediation and circulation.     

Changing Patterns of Scaffolding and Autonomy During Individual Music Lessons: A Mixed Methods Approach

Learning implies change. Inside and outside schools, we aim for students to change into people with more skills and knowledge as well as with a growing sense of agency and responsibility. Furthermore, education itself is subject to constant change. In this article, we examine change in 3 case studies in the context of individual music lessons from a complex dynamic systems approach. Three beginning string instrument students and their teacher were followed for 18 months (28 lessons per dyad) by means of video observations. We combine cluster analyses on longitudinal data with qualitative illustrations of moment-to-moment teacher–student transactions to gain insight into how and why change in teaching and learning occurs. The 3 cases show distinct profiles of change: the development of strong suboptimal attractor states, the emergence of optimal attractor states, and a profile that is characterized by falling back into suboptimal attractor states. We discuss how optimal and suboptimal learning and teaching trajectories can unfold over time and how a mixed methods approach can provide valuable new insights for both practice and future research.     

Fair access to higher education and discourses of development: a policy analysis from Indonesia

The purpose of this paper is to explore the relationship between fair access policies and discourses of development through a policy analysis of higher education reform in post-authoritarian Indonesia (1998–present). The method was document analysis of five laws/regulations, using the criteria of accessibility, availability, and horizontality to identify the extent of fair access for students from (1) lower socioeconomic backgrounds and (2) under-developed regions of the archipelago. The analysis demonstrates how neoliberal, human capital, inclusive development and Pancasila discourses have been called upon in the making and un-making of a higher education market, with ultimately favourable outcomes for the fair access agenda.