Are There Economic Incentives for Non‐Traditional Students to Enter HE? The Labour Market as a Barrier to Widening Participation

The expansion of higher education (HE) in the UK has disproportionately benefited young people from relatively rich families: the gap between rich and poor in terms of participation in HE having widened since the 1970s. We explore a neglected possible cause of this class difference: that the labour market fails to provide sufficient incentives for potential entrants from less advantaged backgrounds to enter HE. Most studies of the rewards from participating in HE in the UK suggest that the rates of returns are sufficiently high to provide clear economic incentives to participate. However, until recently, most studies generated estimates of the average rate of return to graduation, which could overestimate returns to marginal entrants, particularly those from disadvantaged backgrounds. In this review we examine the methodological problems faced by more targeted studies of the rates of return to graduation and review their key findings concerning the economic returns to non‐traditional entrants.     

Improving the participation and engagement of Aboriginal and Torres Strait Islander students in business education

Most Australian universities have among their goals to increase the number of Aboriginal and Torres Strait Islander students at their institutions. In the Australian higher education context, Aboriginal and Torres Strait Islander students are seriously under-represented, particularly in business education compared to other disciplines. An understanding of why a larger proportion of Aboriginal and Torres Strait Islander students do not choose to study a discipline that provides promising employment opportunities, is fundamental to improving the status quo. This paper reviews the literature to identify key barriers to Aboriginal and Torres Strait Islander students’ participation and engagement in business education. Apart from multiple general barriers to participation in higher education, factors specific to business as a profession and as an academic discipline are also considered. The paper then discusses a number of strategies Australian educational institutions could pursue when seeking to increase participation and engagement of Aboriginal and Torres Strait Islander students in business. Drawing on the review, the paper concludes with recommendations for higher education institutional policy to further improve Aboriginal and Torres Strait Islander student participation and engagement in business studies.     

Modeling Predictors of Latent Classes in Regression Mixture Models

The purpose of this study is to provide guidance on a process for including latent class predictors in regression mixture models. We first examine the performance of current practice for using the 1-step and 3-step approaches where the direct covariate effect on the outcome is omitted. None of the approaches show adequate estimates of model parameters. Given that Step 1 of the 3-step approach shows adequate results in class enumeration, we suggest using an alternative approach: (a) decide the number of latent classes without predictors of latent classes, and (b) bring the latent class predictors into the model with the inclusion of hypothesized direct covariate effects. Our simulations show that this approach leads to good estimates for all model parameters. The proposed approach is demonstrated by using empirical data to examine the differential effects of family resources on students’ academic achievement outcome. Implications of the study are discussed.     

Measurement Invariance Testing with Many Groups: A Comparison of Five Approaches

With the increasing use of international survey data especially in cross-cultural and multinational studies, establishing measurement invariance (MI) across a large number of groups in a study is essential. Testing MI over many groups is methodologically challenging, however. We identified 5 methods for MI testing across many groups (multiple group confirmatory factor analysis, multilevel confirmatory factor analysis, multilevel factor mixture modeling, Bayesian approximate MI testing, and alignment optimization) and explicated the similarities and differences of these approaches in terms of their conceptual models and statistical procedures. A Monte Carlo study was conducted to investigate the efficacy of the 5 methods in detecting measurement noninvariance across many groups using various fit criteria. Generally, the 5 methods showed reasonable performance in identifying the level of invariance if an appropriate fit criterion was used (e.g., Bayesian information criteron with multilevel factor mixture modeling). Finally, general guidelines in selecting an appropriate method are provided.     

巧克力迷的天堂--宾夕法尼亚

I pun up to the dowdy brick factory in ablink-and-youll-miss-it Pennsylvania town.Itdoesn't look promising.But I open the door.and the sweet dark smell of chocolate draws mynose first into the Wilbur Chocolate Co.factorystore in Lititz.Although the town seems ahnostdeserted.the tiny store is packed with shoppersloading baskets with“Buds”.drops of silky choco-late.I slip into the endearingly amateurish muse-um in the next room,where a dress shop dummyleans against old chocolate-making equip-merit.Then I see it.Behind cocoa tins.there's awindow onto a working kitchen.A white-haired ladypipes blue icing on chocolate ballet dancers.Ringthe bell,a sign says,and shell hand-dip a chocolatejust for you.I ring,and float into chocolate nirvana.     

Teacher professional development through digital content evaluation

In this study, researchers designed and implemented a 1-year professional development (PD) program that focused on supporting teachers in evaluating and selecting digital learning contents. Participants in this investigation included 109 teachers who consented to the study amongst a total of 171 teachers from five school districts across central Ohio. In addition to their participation in the PD program, they completed surveys, interviews, and self-reflections in this mixed-method study. The results revealed that teachers’ perceived TPACK increased over time throughout the PD program, suggesting that training teachers to evaluate digital contents can be an effective PD model to improve teachers’ capacity in learning technology integration. The PD program was especially effective for teachers with less prior experience in technology integration or related training. Mathematics teachers, in comparison to teachers from other disciplines, began with low TPACK; however, these initial differences gradually diminished over the course of the PD program. In terms of their motivation in digital content evaluation, teachers’ expectancy for success increased significantly while their task values remained medium high. The qualitative analyses provided additional insights and revealed design suggestions for success in future PDs.     

Community engagement is … : revisiting Boyer’s model of scholarship

ABSTRACT

Criticisms have been levelled at academics at a time when funding of universities is increasingly tied to private and corporate purposes and when academics are held accountable through a hierarchy of functions. Claims are also made that academics work within narrow specializations and are removed from real-world experience and problems. Boyer’s model of scholarship offers four categories of scholarship that remain relevant to understanding and guiding the work of academics, including how they engage with communities. To explore the nature of academics’ work, we draw on data provided by a group of academics who participated in a research project using both sociological elicitation and visual arts-based research methodologies. The participants were asked to explore what various aspects of current academic work mean for them by providing an image and text, akin to creating a postcard. In this article, we focus on responses they provided to the prompt ‘Community engagement is?…?’ The postcards show how community engagement can be interpreted in diverse ways and that, along with teaching and research, community engagement are all integrated, mutually reinforcing drivers and outcomes of academic work.     

Practicing Social Skills Training for Young Children with Low Peer Acceptance: A Cognitive-Social Learning Model

Peer acceptance during early childhood is related to children's academic achievement, adjustment in school, and even psychological well-being in adulthood. Children who experience low peer acceptance exhibit socially inappropriate behavior patterns, which are associated with irrelevant patterns of information processing. Therefore, as a way of helping children with low peer acceptance, a cognitive-social learning model of social skills training has been used because the model focuses on cognitive changes as well as behavioral changes. Three parts of the social skills training—enhancing skill concepts, promoting skill performance, and fostering skill maintenance/generalization—are discussed. In order to be successful, a trainer should understand the training model as well as behavioral patterns of children with low peer acceptance to provide theory-based and individualized feedback to each participant.