eVALUate: an evaluation instrument for measuring students’ perceptions of their engagement and learning outcomes

In the current climate in Australian higher education, quality assurance in university teaching is a priority. In particular, the introduction of the Learning and Teaching Performance Fund (LTPF) has refocused attention on universities’ internal student evaluation survey instruments. This paper reports the development, validation and implementation of a new unit survey instrument which prompts students to reflect on what helps their achievement of unit learning outcomes, and to report their levels of motivation, engagement and overall satisfaction with a semester‐long course or unit of study. The instrument (eVALUate) was created from precepts reported in the research literature, current practices in evaluating teaching, and sound quality assurance practices appropriate to a university outcomes‐focused education paradigm.     

Designing Classrooms for Diversity: Fostering Social Inclusion

Responding to the growing diversity of students within North American schools today, educators have recognized the value of social inclusion as an important goal, supporting both social-emotional and academic success for all students. This special issue explores how teachers play a significant role in promoting inclusive classes by understanding the social dynamics that operate in educational contexts. Addressing a number of different forms that diversity can take (gender, ethnicity, physical and/or mental exceptionalities), these articles rightfully focus attention on group processes that promote inclusion versus exclusion and their impact, and underscore the need for teacher training in such efforts. Supporting and extending this discussion, we present an overview of recent efforts to promote “universal design for learning” in education, which focuses on academic as well as social inclusion, in hopes that educators consider even broader approaches to celebrating diversity and teaching students to relate to others with acceptance and respect.     

Gifted Education and Counselling in Canada

Education in Canada is determined at the provincial level of jurisdiction. Each province and territory has a unique system of legislation and policy, although most provinces view the education of gifted students as a category of service provision under special education. The first section of this paper provides a brief, general overview of key themes that emerge from an analysis of the relevant Education Ministry documents and literature concerning gifted education and counselling within the Canadian context. Where appropriate, the particular province(s) and/or territory(s) associated with the themes is noted. The second section highlights the work of Canadian scholars most relevant to counsellors working with gifted students. A brief review of recommended counselling needs, goals, and practices for the gifted is presented in the conclusion.     

Welfare Reform: Can Higher Education Reduce the Feminization of Poverty?

In this paper we address what is meant by feminization of poverty. We also provide a very brief historical review of poor women, their children, and their need for financial assistance. Furthermore we identify some of the obstacles women face while trying to become self-sufficient and how women attempt to overcome these obstacles while relying on government aid. A strategy used by some of these women on welfare is to attend college and earn a degree. We show how this group of women now faces a major obstacle with a recent reform in the welfare system. Finally, we offer some suggestions as to how policies and practices of institutions of higher education can help female students on welfare, thereby reducing the feminization of poverty in the United States.     

Let’s Face(book) It: Analyzing Interactions in Social Network Groups for Chemistry Learning

We examined how social network (SN) groups contribute to the learning of chemistry. The main goal was to determine whether chemistry learning could occur in the group discourse. The emphasis was on groups of students in the 11th and 12th grades who learn chemistry in preparation for their final external examination. A total of 1118 discourse events were tallied in the different groups. We analyzed the different events that were found in chemistry learning Facebook groups (CLFGs). The analysis revealed that seven types of interactions were observed in the CLFGs: The most common interaction (47 %) dealt with organizing learning (e.g., announcements regarding homework, the location of the next class); learning interactions were observed in 22 % of the posts, and links to learning materials and social interactions constituted about 20 % each. The learning events that were ascertained underwent a deeper examination and three different types of chemistry learning interactions were identified. This examination was based on the theoretical framework of the commognitive approach to learning (Sfard in Thinking as communicating. Cambridge University Press, Cambridge, 2008), which will be explained. The identified learning interactions that were observed in the Facebook groups illustrate the potential of SNs to serve as an additional tool for teachers to advance their students’ learning of chemistry.     

Assumptions and practices in using digital technologies to teach writing in middle‐level classrooms across Canada

Interviews with 216 Grades 4–8 teachers and observations in 21 classrooms show that computers are widely used to teach writing across Canada. Restricted access to computers plays a role in the frequency and types of interactions that students and teachers have with computers in writing classes. Equally influential are assumptions about writing development and effective teaching practice. Many participating teachers believe that spell checkers hamper students’ spelling development. They view computers as tools to extend and support their teaching of mini‐lessons.     

On the Estimation of Nonlinear Mixed-Effects Models and Latent Curve Models for Longitudinal Data

Nonlinear models are effective tools for the analysis of longitudinal data. These models provide a flexible means for describing data that follow complex forms of change. Exponential and logistic functions that include a parameter to represent an asymptote, for instance, are useful for describing responses that tend to level off with time. There are forms of nonlinear latent curve models and nonlinear mixed-effects model that are equivalent, and so given the same set of data, growth function, distributional assumptions, and method of estimation, the 2 models yield equivalent results. There are also forms that are strikingly different and can yield different interpretations for a given set of data. This article discusses cases in which nonlinear mixed-effects models and nonlinear latent curve models are equivalent and those in which they are different and clarifies the estimation needs of the different models. Examples based on empirical data help to illustrate these points.     

The Conceptualization and Development of the Practical Epistemology in Science Survey (PESS)

Research in Science Education - Various inquiry approaches have been promoted in science classrooms as a way for students to engage in, and have a deeper understanding of scientific discourse....