Context: Generalization is a critical concept in all research designed to generate knowledge that applies to all elements of a unit (population) while studying only a subset of these elements (sample). Commonly applied criteria for generalizing focus on experimental design or representativeness of samples of the population of units. The criteria tend to neglect population diversity and targeted uses of knowledge generated from the generalization. Objectives: This article has two connected purposes: (a) to articulate the structure and discuss limitations of different forms of generalizations across the spectrum of quantitative and qualitative research and (b) to argue for considering population heterogeneity and future uses of knowledge claims when judging the appropriateness of generalizations. Research Design: In the first part of the paper, we present two forms of generalization that rely on statistical analysis of between-group variation: analytic and probabilistic generalization. We then describe a third form of generalization: essentialist generalization. Essentialist generalization moves from the particular to the general in small sample studies. We discuss limitations of each kind of generalization. In the second part of the paper, we propose two additional criteria when evaluating the validity of evidence based on generalizations from education research: population heterogeneity and future use of knowledge claims.
Since the late 1990s, teacher professional development models have shifted from a focus on individual improvement to collaboration as a means to foster support, information, and resource exchange between teachers. Following this shift, researchers began to use social network research methodology in the early 2000s to reveal the ways in which informal relationships affect teachers’ practices. This chapter reviews current literature on teachers’ social networks and teacher quality to describe the ways in which social networks mediate teachers’ practices. It provides detailed examples from two studies on teachers’ social networks and suggests ways that scholars can incorporate the constructs of social capital and social networks into large-scale research on teacher quality.
Residents of Southwestern Ontario are most likely to identify “jobs/unemployment/wages” as the most important issue currently facing the Ontario government.
Claiming that talking about race causes more racism is akin to suggesting that it would not rain if people would just stop carrying umbrellas. Conversely, just as umbrellas protect against the rain, talking about race can serve as a defense against racial microaggressions and onslaughts. Researching Race in Education: Policy, Practice, and Qualitative Research provides a 'storm
olars can gather under as we ride out another racial storm.
It's a common cliché: the worldly professor who charms and mesmerizes his adoring young student.
Mathematician John Nash, captured in the Hollywood film A Beautiful Mind, was one of them. As was biologist and sex researcher Alfred Kinsey.
And recently, University of British Columbia creative writing professor Steven Galloway officially joined the club when he apologized via his lawyer for having a two-year affair with one of his students.
The disclosure follows a year-long controversy surrounding Galloway's abrupt dismissal over "serious allegations." Few details have been revealed; the matter is currently under review.
Like other major Canadian universities, UBC doesn't prohibit professors from dating students — although conflict of interest rules require them to disclose the relationship to a superior and recuse themselves from any decisions that may affect the student.
But it prompts the question: In an era of increasing discussion of sexual harassment on campus, should universities
allow relationships between faculty and students at all?
This chapter examines how the three most common types of engagement found among adolescents attending high-performing high schools relate to indicators of mental and physical health.
For decades, research and public discourse about gender and science have often assumed that women are more likely than men to “leak” from the science pipeline at multiple points after entering college. We used retrospective longitudinal methods to investigate how accurately this “leaky pipeline” metaphor has described the bachelor’s to Ph.D. transition in science, technology, engineering, and mathematics (STEM) fields in the U.S. since the 1970s. Among STEM bachelor’s degree earners in the 1970s and 1980s, women were less likely than men to later earn a STEM Ph.D. However, this gender difference closed in the 1990s. Qualitatively similar trends were found across STEM disciplines. The leaky pipeline metaphor therefore partially explains historical gender differences in the U.S., but no longer describes current gender differences in the bachelor’s to Ph.D. transition in STEM. The results help constrain theories about women’s underrepresentation in STEM. Overall, these results point to the need to understand gender differences at the bachelor’s level and below to understand women’s representation in STEM at the Ph.D. level and above. Consistent with trends at the bachelor’s level, women’s representation at the Ph.D. level has been recently declining for the first time in over 40 years.
Rates of depression and anxiety among young people in America have been increasing steadily for the past 50 to 70 years. Today, by at least some estimates, five to eight times as many high school and college students meet the criteria for diagnosis of major depression and/or anxiety disorder as was true half a century or more ago. This increased psychopathology is not the result of changed diagnostic criteria; it holds even when the measures and criteria are constant.
When a person enrolled in university in 1967, he or she entered a world barely recognizable to most students today. Today’s students can only gaze back at it with envy.
Tuition was $2,750 a year (in current dollars), less than half today’s. Unlike many students today, few students then had to work during the school year to pay for their education, so they could devote as much time as they wanted to their studies.
Last year, Yukon College announced that, by 2021, it would become Yukon University. The territory’s minister of education, Doug Graham, had approved the institution’s name change in November, but the transition has been in the works for several years, according to Yukon College president Karen Barnes. Also in November, Sheridan College, based in Brampton, Ontario, hosted a town hall meeting to outline its progress in becoming Sheridan University – a journey that started in 2011 when Sheridan’s board of directors approved the institution’s plan. Sheridan College president Jeff Zabudsky expects the process to be completed in 2020.
The need for a reliable strategic planning framework for distance educators and their institutions has never been greater than it is now. Increased government regulations, accreditation standards, and competition are converging with decreased funding from federal, state, and private sources, and administrators require better strategic planning. A strategic planning model known as the Balanced Scorecard has met with widespread adoption and sweeping success among the business community, but, surprisingly, has not been widely adopted among institutions of higher and distance education. In this article the authors share what they have learned about this strategic planning model through a review of the available literature and their own early efforts to introduce it to their institution, the Division of Continuing Education at Brigham Young University in Provo, Utah.
Work-integrated learning (WIL) has been identified as a key strategy for supporting Canada’s postsecondary education (PSE) system in responding to an increasingly dynamic, globalized, knowledge-based economy. Ontario in particular has been described as a “hot bed” of co-operative education (Ipsos Reid, 2010). However, while there is a common belief that WIL improves employment outcomes (see Gault, Redington & Schlager, 2000; Kramer & Usher, 2010), research on this topic has generally been specific to certain programs and types of WIL (Sattler, 2011).
In recent years, we’ve been exposed to increasing amounts of headlines about the possibility of machines becoming more intelligent than human beings, and even wresting control over the planet from us entirely. These threatening predictions, which may or may not yet come true, are the result of significant developments in the computer science field called artificial intelligence (also known as AI).
Readers of Faculty Focus are probably already familiar with backward design. Most readily connected with such
researchers as Grant Wiggins, Jay McTighe, and Dee Fink, this approach to course construction asks faculty to initially ignore the specific content of a class. Rather, the designer begins the process by identifying desired learning goals, and then devising optimal instruments to measure and assess them. Only thereafter does course-specific content come into play—and even then, it is brought in not for the sake of “covering” it, but as a means to achieve the previously identified learning objectives. Courses designed this way put learning first, often transcend the traditional skillset boundaries of their discipline, and usually aim to achieve more ambitious cognitive development than do classes that begin—and often end—with content mastery as the primary focus. Although the advantages of backward design are manifest, it’s probably still the exception to, rather than the rule of, course planning.
As our nation strives to have all students graduate from high school ready for college and other postsecondary learning opportunities, we have to confront the reality that we are far from achieving this goal. The problem is most severe with
economically disadvantaged students. For example, in states where all eleventh graders take the ACT® college readiness assessment, only 45% of low-income students in 2012 met the ACT College Readiness Benchmarks in English, 30% in reading,
21% in mathematics, and 13% in science. For many students, especially those from disadvantaged backgrounds, learning gaps
appear in early childhood.2 Large numbers of disadvantaged students enter kindergarten behind in early reading and mathematics skills, oral language development, vocabulary, and general knowledge. This situation poses a challenge for
intervention models that presume that 15% or so of students need short-term additional help, 5% or so need long-term intervention, and the regular academic program will take care of the rest. In cases where the great majority of students are
academically behind and need major assistance, the regular academic program must be upgraded to deliver a richer curriculum to all students. Such a curriculum is highly beneficial for all students, but is especially critical for disadvantaged students, who often arrive from home with limited knowledge and vocabulary. School districts must develop a system of practices that enable such a curriculum to be taught effectively.
When there are debates about the world's top performing education systems, the names that usually get mentioned are the Asian powerhouses such as Singapore and South Korea or the Nordic know-alls, such as Finland or Norway.
But with much less recognition, Canada has climbed into the top tier of international rankings.
In the most recent round of international Pisa tests, Canada was one of a handful of countries to appear in the top 10 for maths, science and reading.
According to a new survey of more than 4,000 undergraduates at 10 community colleges across the nation, half of all community college students are struggling with food and/or housing insecurity. Fully 20 percent are hungry and 13 percent are homeless. These numbers are startling and indicate the need for a multi-pronged, comprehensive set of institutional, state, and local policies to alleviate the barriers presented by poverty, so as to improve educational success.
In the latest edition of our blog, we hear from Dr. Adam Gaudry. In this piece, Adam explores the historical and contemporary tensions that exist between units like Indigenous Studies and the academy. Perfectly timed, Adam’s piece draws our attention to the calls to Action in the recently released Truth and Reconciliation Commission.
TORONTO, Feb. 14, 2017 /CNW/ - A new national survey released today reveals a bold portrait of Canada's Millennials (those born between 1980 and 1995), that for the first time presents the social values of this generation, and the distinct segments that help make sense of the different and often contradictory stereotypes that so frequently are applied to today's young adults.
The results show that Millennials cannot be lumped into a single group defined by their age, or by other demographic characteristics such as gender, region or socio-economic status. They are a diverse part of the Canadian society, made up of six social values "tribes", each reflecting a distinct worldview and approach to life. While Millennials may share some common experiences and aspirations as befits their stage in life, there are notable differences in outlook and life path across these tribes, be they "Engaged Idealists," "Bros and Brittanys," or "Lone Wolves."
Dark economic times have come to the province. The Premier, under pressure from business groups, appoints a prominent citizen to review the government‟s finances. His report proposes dramatic cuts to most social programs and the public sector, including education. There is no broad -based public consultation involving public servants, teachers, doctors or university faculty.