Overcoming problems in doctoral writing through the use of visualisations: telling our stories

Doctoral students experience many challenges on the long journey towards completion. Common problems include: synthesising data, working at a conceptual level, clarifying the relationship of the parts of the thesis to the whole, finding a voice and completing a viva successfully. Few authors have addressed the use of visualisations to meet these challenges. This paper focuses on the use of visualisations in doctoral writing. It presents narratives about seven ways that visualisations can help students to make breakthroughs in their writing, namely, as an organiser of the relationships of the parts of the thesis to the whole, a trigger for peer discourse, a vehicle for conceptual work, a metaphor to express key concepts, a trigger for professional development, a visual aid for the viva and as a prompt for freedrawing and freewriting.     

A sociocultural investigation of the efficacy of outdoor education to improve learner engagement

A sociocultural investigation with Year 8 secondary-school students experiencing marginalization and displaying signs of social and emotional difficulties in engaging fully with school life who participated in a mediated outdoor education programme was undertaken for this study. The findings indicate that there was a very statistically significant change in self-concept (p < 0.05) during the course of the programme. In addition, all participants reported positive results in relation to building trust, group cohesion, and emotional regulation with positive results on facing the challenges they experience daily within school. Moreover, 75% reported that they experienced positive gains in their family since beginning participation in the programme, and 100% stated that they had developed a deeper level of trust for the other group members.     

The role of learned resourcefulness in helping female undergraduates deal with unwanted sexual activity

We examined the relationship between learned resourcefulness skills and the manner in which undergraduate heterosexual women handle unwanted sexual advances/activity. Participants consisted of 150 females completing a set of questionnaires assessing general learned resourcefulness, sexual giving-in experience, sexual resourcefulness, sexual self-efficacy and reasons for consent. The hypothesis that possessing a higher general repertoire of learned resourcefulness skills would uniquely predict greater sexual self-control with unwanted sexual advances was supported. Physical contact with men, greater sexual victimization, more reasons for consenting, and less use of sexual resourcefulness skills all directly contributed to voluntarily giving-in behavior. Implications for sexuality education and counseling are discussed.     

Accessing ICLAS Network Log Data to Study Student Computer Usage,Course Performance,and Attitude Change

ABSTRACT

This study demonstrated how network usage logs such as those generated by the IBM Classroom Local Area Network Administration System (ICLAS) can be used to study student use of software available on a local area network. Software instrumentation was developed to convert ICLAS log files to a format (?.DIF) usable by spreadsheet and statistics software. Data on 163 students enrolled in an ‘Introduction to Computers in Education’ course during the Summer, 1992 session at the University of South Florida were compiled for exploratory analysis. Correlations of lab use time to course grade, change in knowledge, and change in attitude were performed. It was found that amount of lab use correlated significantly to general attitude toward computers, but that it did not correlate significantly to change in attitude toward school uses of computers or to change in knowledge of course topics.     

Developing Expertise With Classroom Assessment in K–12 Science: Learning to Interpret Student Work. Interim Findings From a 2-Year Study

This article reports findings on growth in 3 science teachers' expertise with interpretation of student work over 1 year of participation in a program. The program was designed to strengthen classroom assessment. Using a framework for classroom assessment expertise, we analyze patterns of teacher learning, and the roles of the professional program and the quality of the assessments provided with teachers' instructional materials.     

A multivariate latent growth curve analysis of adolescent substance use

This article demonstrates a multivariate latent growth curve methodology (LGM) for analyzing longitudinal adolescent substance use data. Hypotheses concerning the form of growth in substance use, individual differences in the common trajectory over time, and covariates influencing growth were tested. Significant linear increases existed for alcohol, cigarette, and marijuana use. Second‐order multivariate extensions of LGM indicated that associations among the individual differences parameters of the various substances could be adequately modeled by a higher order substance use construct. Family status, parent‐child conflict, peer encouragement for substance use, parent substance use, and age significantly influenced initial levels of use. Peer encouragement, change in peer encouragement, change in parent‐child conflict, age, and gender significantly influenced development of use. These findings support the influence of families and peers on the development of adolescent substance use and demonstrate the utility of multivariate extensions of LGM in the analysis of longitudinal data.     

Training School-Based Consultants: Some Thoughts On Grains of Sand and Building Anthills

This article reviews the major themes and issues emerging from this special issue on training school-based consultants. It is suggested that the building of anthills from individual and often seemingly disconnected grains of sand provides a useful metaphor for work in this arena. To date we have failed to establish a compelling and integrated body of empirical evidence addressing consultant training, although some excellent preliminary data have been reported. All agree that substantially more scholarly work is essential. It is proposed that the most important challenge facing us is the adoption of a unifying theoretical model to guide the organization and synthesis of our disparate "grains of sand" so that we can create meaningful and coherent "anthills" that can be of value to consultation trainers. Ecological and systems orientations are presented as the most appropriate and powerful approaches to achieve this goal. Small-N and qualitative research methodologies seem particularly well suited to this task. A number of specific research and practice ideas are suggested, although each has yet to garner sufficient empirical support and each is considered to be subsidiary to the adoption of an ecological paradigm to guide trainers and researchers in drafting a blueprint for future scientific work. As sure as worker ants can build phenomenally complex anthills from the most meager beginnings, so can we develop a scientific body of knowledge regarding consultant training. However, substantially more intellectual capital will need to be invested in this task if we are to succeed. Ultimately, it is up to us, as interested scholars, to make this happen.     

Respiration and Cognitive Synergy: Circulation in and Between Scientific Research Spheres

This article explores the crucial moments of scientists’ research activities when they decide to shift to a radical new domain or to perpetuate a project. We introduce what we have called the “respiration model” which describes and analyses key cognitive components which occur in this complex process. Respiration either privileges epistemic expectations which are rooted in socio-cognitive metrics of “concentration” or in a functionality-multiple horizon context which we refer to as “extension”. The respiration model accords particular attention to the elements curiosity and synergy in science.     

Mini-research Experience in Simple Linear Regression

Within the undergraduate mathematics curriculum, the topic of simple least-squares linear regression is often first encountered in multi-variable calculus where the line of best fit is obtained by using partial derivatives to find the slope and y-intercept of the line that minimizes the residual sum of squares. A markedly different approach from linear algebra, which could also be introduced in multi-variable calculus, obtains the regression line by vector projection. The latter viewpoint offers elegant proof of the equation relating the total, explained and unexplained variations. Consideration of data with the same regression line and correlation opens the door for a “mini-research experience” (MRE). A sequel MRE gives rise to an open Research Experience for Undergraduates topic to analyze reflection sequences and a fundamental connection between complex analysis and regression analysis. A few general guidelines and basic goals for MREs are included for those whose main interest is in undergraduate research.