Journal Article

The following study utilizes an ePortfolio platform to examine desirable employment competencies during an introductory level professional development course for cooperative education students at a large, research intensive institution. The researchers created course activities allowing students to demonstrate essential learning outcomes derived from the Association of American Colleges and Universities (AAC&U) LEAP Report (2008). While it is recognized that the student learning outcomes identified in the LEAP Report are intended to be examined through summative analysis at the conclusion of one's undergraduate experience, this study proposes that these learning outcomes can be promoted early during students' undergraduate careers through formative feedback in an ePortfolio development process. The results of this study suggest that ePortfolios could be used as a medium to encourage student confidence with respect to employment preparation. Further research should be conducted to longitudinally evaluate students' understanding and ability to demonstrate the LEAP Report's essential learning outcomes within the context of a cooperative education curriculum.

Students with visual impairments (SVIs) are often dehumanized in mathematics education, based on deficit perspectives, the assumption that mathematics learning must be visual, and a lack of tools that allow students on the entire spectrum of vision to collaborate mathematically. The current advent of assistive learning technologies (ALTs) holds promise in helping SVIs learn mathematics, particularly through making mathematics accessible in nonvisual ways. In this critical literature review, two authors, one blind and one sighted, use a disability studies and rehumanizing mathematics education framework to examine currently available ALTs. We organize our findings using the substitution, augmentation, modification, and redefinition (SAMR) model, then critique the technologies based on their capacity for humanizing SVIs in mathematics learning. We found that most technologies rely on a substitution or augmentation model, merely replacing visual information with audio or tactile information and then requiring SVIs to “act” more like their sighted peers. We found few technologies that recognized the unique mathematical experiences SVIs hold, or empowered SVIs to create and own their own mathematical knowledge through collaboration with all students on the spectrum of vision.

Over the past 16 years, a legislative and policy framework has evolved in Canada to address systemic discrimination in employment in the federal jurisdiction, and in organizations that sell goods or services to the federal government. Data collected pursuant to the Employment Equity Act, as well as published literature and government documents, are reviewed in order to provide a critical analysis of the federal policy framework as set out in 1987 and revised in 1996. This review is the basis for assessing both progress and lack of improvement in the employment status of racial minority, aboriginal, and disabled women and men, as well as white women, within the federal sector. Reasons for limited results are proposed, and issues posed by contemporary labour market trends are identified. It is argued that the results of employment equity policy are disappointing because the policy is not being implemented by employers and effectively enforced so that there are consequences for employers’ failures to comply. In other words, there is a persisting gap between employment equity policy and practice. This gap presents difficulties in evaluating the content of employment equity policy, since it is not possible to evaluate a policy that is not implemented.

This paper uses data from the Longitudinal Survey of Immigrants to Canada covering the period 2000 to 2004 to assess short‐term employment and occupational attainment of recent immigrants who, despite having completed a university degree in their countries of origin, chose to obtain additional credentials at a Canadian postsecondary institution. The main finding of this paper is that occupational attainment of highly educated immigrants is affected by choice of postsecondary education in Canada regardless of differences in sociodemographic, premigration characteristics, and postmigration conditions. Four years after entry, immigrants worked in jobs with significantly lower occupational prestige than those held prior to migration. Immigrants who pursued a university education in Canada attained highest occupational outcomes when compared to nonparticipants and those who chose a community college pathway. Nevertheless, the majority of highly educated immigrants failed to gain entry to the professions.

In this article, labour market outcomes of British Columbia graduates from liberal arts and applied education programs are investigated by examining the 1996 cohort of baccalaureate graduates one year and fi ve years after graduation. We argue that the individual return to education has to be analyzed from a multi-dimensional perspective, in relation to initial educational and career goals of graduates who have anticipated both intellectual challenges and economic rewards from their investment in education. The study reveals differences in outcomes (i.e., employment, earnings) by program type, gender and age. Our main conclusion is that graduates from applied education programs experience a more rapid integration into the labour market as compared to graduates from liberal arts education programs. Although earning differences by program type and age either decrease or even disappear over time, earning differences by gender are enhanced fi ve years after graduation. Also, we conclude that graduates from applied education programs establish and accomplish more focused educational and career goals, while graduates from liberal education programs establish broader educational and career goals.

The past thirty years have seen a dramatic decline in the rate of income convergence across states and in population flows to high-income places. These changes coincide with a disproportionate increase in housing prices in high-income places, a divergence in the skill-specific returns to moving to high-income places, and a redirection of low-skill migration away from high-income places. We develop a model in which rising housing prices in high-income areas deter low-skill migration and slow income convergence. Using a new panel measure of housing supply regulations, we demonstrate the importance of this channel in the data.

Recent empirical evidence suggests that skill-biased technological change accelerated during the Great Recession. We use a neoclassical growth framework to analyze how business cycle fluctuations interact with a long-run transition towards a skill-intensive technology. In the model, the adoption of new technologies by firms and the acquisition of new skills by workers are concentrated in downturns due to low opportunity costs. As a result, shocks lead to deeper recessions, but they also speed up adoption of the new technology. Our calibrated model matches both the long-run downward trend in routine employment and key features of the Great Recession.

A systematic review is provided on artificial agent methodologies applicable to control engineering of autonomous vehicles and robots. The paper focuses on some fundamentals that make a machine autonomous: decision making that involves modelling the environment and forming data abstractions for symbolic processing and logic-based reasoning. Most relevant capabilities such as navigation, autonomous path planning, path following control, and communications, that directly affect decision making, are treated as basic skills of agents. Although many autonomous vehicles have been engineered in the past without using the agent-oriented approach, most decision making onboard of vehicles is similar to or can be classified as some kind of agent architecture, even if in a naïve form. First the ANSI standard of intelligent systems is recalled then a summary of the fundamental types of possible agent architectures for autonomous vehicles are presented, starting from reactive, through layered, to advanced architectures in terms of beliefs, goals, and intentions. The review identifies some missing links between computer science results on discrete agents and engineering results of continuous world sensing, actuation, and path planning. In this context design tools for ‘abstractions programming’ are identified as needed to fill in the gap between logic-based reasoning and sensing. Finally, research is reviewed on autonomous vehicles in water, on the ground, in the air, and in space with comments on their methods of decision making. One of the main conclusions of this review is that standardization of decision making through agent architectures is desirable for the future of intelligent vehicle developments and their legal certification.

The paper reviews the macroeconomic data describing the British economy from 1760 to 1913 and shows that it passed through a two-stage evolution of inequality. In the first half of the 19th century, the real wage stagnated while output per worker expanded. The profit rate doubled and the share of profits in national income expanded at the expense of labour and land. After the middle of the 19th century, real wages began to grow in line with productivity, and the profit rate and factor shares stabilized. An integrated model of growth and distribution is developed to explain these trends. The model includes an aggregate production function that explains the distribution of income, while a savings function in which savings depended on property income governs accumulation. Simulations with the model show that technical progress was the prime mover behind the industrial revolution. Capital accumulation was a necessary complement. The surge in inequality was intrinsic to the growth process: technical change increased the demand for capital and raised the profit rate and capital’s share. The rise in profits, in turn, sustained the industrial revolution by financing the necessary capital accumulation. After the middle of the 19th century, accumulation had caught up with the requirements of technology and wages rose in line with productivity.