Every year, schizophrenia disrupts the lives of hundreds of thousands of Canadians. While affecting only approximately
1% of the population, this complex, multifaceted illness places a disproportionate strain on patients, families,
clinicians and other care providers. Symptoms, which vary in severity and expression, can make it incredibly
difficult for patients to sustain relationships, engage in social networks or carry out routine tasks. Moreover, these
social burdens extend well beyond the affected patient. Families and health professionals who provide care often
find their lives interrupted and negatively impacted by the illness. Ineffective policy, poorly organized care systems and
expensive medications all contribute to placing the burden directly on families. The result is higher emotional costs and
lower standards of life among care providers.
Is it just that time of the semester, or are academics more and more stressed out? In the past week alone, I’ve talked with:
-A colleague emotionally reeling from counseling two students who each had a parent die this semester.
-Another unsettled colleague who received an expletive-filled email from an angry student demanding to "speak to your supervisor."
-A friend at another institution buried under a mountain of papers — the product of a fourth course that he’s teaching on overload to make a little extra money.
This paper presents an overview of gender differences in education outcomes in OECD countries. A rich set of indicators describes the improvement of educational attainment among women over the past decades, and various dimensions of male under-performance in education. Possible explanatory factors include incentives provided by changing employment opportunities for women, demographic trends, as well as the higher sensitivity of boys to disadvantaged socio-economic backgrounds. Gender differences in field of study and in performance by subject are found to be related to attitudes and self-perceptions towards academic subjects, which are in turn influenced by social norms. A number of policy options to
address gender gaps are presented in the final section of the paper.
What research direction is needed in the scholarship of teaching and learning in higher education? Over a decade ago, Windschitl (1998) advocated for more research on in- creasing student inquiry through the World Wide Web and illuminating web-based stu- dent communication. The release and then extensive development of a model of online communities of inquiry (Garrison, Anderson, & Archer, 2000) responded to Windschitl’s call. In addition to continued work in these two areas, a stronger research focus on learn- ing theory and everyday use of Web 2.0 technologies is required (Greenhow, Robelia, & Hughes, 2009; Zawacki-Richter, Anderson, & Tunca, 2010).
In 2007, Colleges Ontario prepared a report for Citizenship and Immigration Canada (CIC) that examined existing occupation-specific language training in Ontario colleges.1 The findings from that report formed the basis of the Occupation-specific Language Training (OSLT) initiative. CIC funded Colleges Ontario, in partnership with ontario colleges and ConneCt strategic alliances, to undertake the oslt initiative to develop curriculum and work with ontario colleges to conduct pilot deliveries of language training for newcomers. This report summarizes the activities conducted from April 1, 2008 to March 31, 2011.
Ontario’scolleges are highly experienced in meeting the language needs of immigrants and have a strong track
record in designing and delivering occupation-specific language training. For the OSLT initiative, the target participants were defined as newcomers who were permanent residents or protected persons with Canadian Language Benchmarks (CLB) 6 to 8 (or Niveaux de compétence linguistique canadiens 5/6 to 8).These newcomers were working in or wanted to re-enter an occupation related to their training and experience, or they wanted to take a related program of study to bridge to employment.
It is often the case that research questions in education involve units of analysis that can be naturally grouped or placed within hierarchical or multilevel configurations. This type of grouping is referred to as nesting. It results in the exposure of the lowest-level units of analysis to common environments that are likely to impact their behaviors, outcomes, or levels of performance. These lowest-level units are commonly referred to as level-1 units. Typical examples of these units are students nested within classrooms. Classrooms are the nesting structure, constituting a second-level unit or level-2 unit. Following this rationale, researchers could further model level-3 units consisting of classrooms (comprised of students) nested within schools. Notably, this logic can be further expanded to higher order levels. The successful identification of units situated at different levels prompted the development of techniques designed to model this phenomenon. These techniques are known as multilevel modeling.
How S y s t e m s I m p r o v e : A C o n s t e l l a t i o n o f F o r c e s
Every higher education institution today faces the complex challenges of serving increased enrollment levels within tight budgets. Adding to the complexity are new student expectations for the when, where and how of learning — where passive listening and doing classwork in isolation are no longer acceptable.
These challenges are prompting many colleges and universities to explore new approaches, especially blended learning, for delivering courses. Blended learning delivers higher levels of learning interactivity and collaboration and
— more importantly for student and institutional success
— higher levels of student engagement.
Welcome to our fi rst issue of IQ – McMaster’s research newsmagazine. We’re excited to share a few research highlights and tell you about some of the country’s most dynamic, creative and innovative research that’s happening right here in your community.
In this issue, our focus is on clean technologies – whether they are related to water, automotive or solar research. Our researchers are doing their part to develop the technologies and innovations that will lead to a greener and cleaner Canada for future generations. They are indeed on an Innovation Quest to see that this happens.
I hope you enjoy the fi rst issue and I welcome your comments on what you’ve read here and what you’d like to see in future issues.
The weakening of the global recovery in 2012 and 2013 has further aggravated the youth jobs crisis and the queues for available jobs have become longer and longer for some unfortunate young jobseekers. So long, in fact, that many youth are giving up on
the job search. The prolonged jobs crisis also forces the current generation of youth to be less selective about the type of job they are prepared to accept, a tendency that was already evident before the crisis. Increasing numbers of youth are now turning to available part‐time jobs or find themselves stuck in temporary employment. Secure jobs, which were once the norm for previous generations – at least in the advanced economies – have become less easily accessible for today’s youth.
The global youth unemployment rate, estimated at 12.6 per cent in 2013, is close to its crisis peak. 73 million young people are estimated to be unemployed in 2013.1 At the same time, informal employment among young people remains pervasive and
transitions to decent work are slow and difficult. The economic and social costs of unemployment, long‐term unemployment,
discouragement and widespread low‐quality jobs for young people continue to rise and undermine economies’ growth potential.
The role of academic deans is critical to the success of higher education academic institutions. This study
illustrates the leadership approach of Ohio’s academic deans. This quantitative study researched and analyzed
whether differences exists between the leadership styles of academic deans and the independent variables of age,
number of faculty supervised, and the number of years of experience.. Blake and Mouton’s Managerial Grid was utilized for this study. Blake and Mouton theory is based on five predominate leadership styles: Data for this study was gathered using a researcher designed instrument along with the Styles of Leadership Survey to gather information about the academic deans. The surveys were administered through U.S. mail to the deans’ office
address. ANOVA methodology was used to analyze the data. It appears from the results of this study that no
significant independent differences exist among the leadership styles and the independent variables.
Keywords: Leadership, Academic Deans, Managerial Grid, Chief Academic officer, University
For most educators, writing a philosophy of teaching statement is a daunting task. Sure they can motivate the most lackadaisical of students, juggle a seemingly endless list of responsibilities, make theory and applications of gas chromatography come alive for students, all the while finding time to offer a few words of encouragement to a homesick
freshman. But articulating their teaching philosophy? It’s enough to give even English professors
a case of writer's block.
Traditionally part of the teaching portfolio in the tenure review process, an increasing number of higher education institutions are now requiring a philosophy of teaching statement from job applicants as well. For beginning instructors, putting their philosophy into words is particularly challenging. For one thing they aren’t even sure they have a philosophy yet. Then there's the added pressure of writing one that’s good enough to help them land their first teaching job.
This Faculty Focus special report is designed to take the mystery out of writing teaching philosophy statements, and includes both examples and how-to articles written by educators from various disciplines and at various stages of their professional careers.
Some of the articles you will find in the report include:
• How to Write a Philosophy of Teaching and Learning Statement
• A Teaching Philosophy Built on Knowledge, Critical Thinking and Curiosity
• My Teaching Philosophy: A Dynamic Interaction Between Pedagogy and Personality
• Writing the “Syllabus Version†of Your Philosophy of Teaching
• My Philosophy of Teaching: Make Learning Fun
As contributor Adam Chapnick writes, “There is no style that suits everyone, but there is almost certainly one that will make you more comfortable. And while there is no measurable
way to know when you have got it ‘right,’ in my experience, you will know it when you see it!â€
The CGS/GRE Survey of Graduate Enrollment and Degrees is jointly sponsored by the Council of Graduate Schools (CGS) and the Graduate Record Examinations (GRE) Board. Conducted annually since 1986, the survey provides information about applications for admission to graduate school, first-time and total graduate student enrollment, and graduate degrees and certificates conferred. The 2013 survey was sent to 793 colleges and universities, and useable responses were received from 655 institutions, for an 83% response rate.
Think back to your first few years of teaching. If you’re like most educators, you probably made your share of mistakes. To be sure, we all do things differently now than we did when we were first starting out. Thank goodness for that!
When Faculty Focus put out a call for articles for this special report on teaching mistakes, we really didn’t know what to expect. Would faculty be willing to share their earlier missteps for all to see? Would the articles all talk about the same common mistakes, or would the range of mistakes discussed truly reflect the complexities of teaching today? We were delighted at the response, not only in terms of the number of instructors willing to share their stories with our readers, but by the variety of mistakes in the reflective essays. For example, in “You Like Me, You Really Like Me. When Kindness Becomes a Weakness,” Jolene Cunningham writes of her discovery that doing everything you can for your students is not always the best policy.
In “If I Tell Them, They Will Learn,” Nancy Doiron-Maillet writes about her realization that it’s not enough to provide information to students if they don’t have opportunities to then apply what you are trying to teach them.
Other articles in Teaching Mistakes from the College Classroom include:
• When Expectations Collide
• Things My First Unhappy Student Taught Me
• Understanding My Role as Facilitator
• Don’t Assume a Student’s Previous Knowledge
• What Works in One Culture May Not Work in Another
We thank all the authors who shared their stories and know that the lessons learned will help prevent others from making these same mistakes.
When viewed holistically, Canada lacks a clear and common understanding of the future directions and top priorities of its post-secondary education (PSE) sector. Perhaps as a result, Canada has not yet comprehensively addressed a fundamental question: How do we demonstrate quality in PSE? To answer this question requires clarification of many issues, including the roles that various institutions and sectors play. It also requires the development of a shared vision of PSE, of what can and should be achieved. Despite much discussion among leaders of various education sectors in Canada, an agreement on a plan of action has yet to be reached. Indeed, a national dialogue on this critical issue is needed.
As a starting point for a national dialogue, the Canadian Council on Learning (CCL) has published three annual reports on the state of post-secondary education in Canada over the last four years. These reports provided an overview of the Canadian PSE landscape while highlighting various issues common among education jurisdictions and institutions. For instance, CCL’s 2006 report, Canadian Post-secondary Education: A Positive Record―– An Uncertain Future, identified eight goals common among the post-secondary strategies of provinces and territories. One of these common goals was addressing the issue of quality in PSE.
CCL’s new monograph series, Challenges in Canadian Post-secondary
The ability of students to move between colleges and universities is an activity, often expected by students, intended to combine the strengths of both sectors and support the pursuit of continuous lifelong learning. Students in Ontario have been ahead of educators and planners in “discovering the value of combining the strengths of the colleges in hands-on learning with the
strengths of the universities in academic education” (Jones & Skolnik, 2009, p.22). The College University Consortium Council (CUCC), established in 1996, was created, in part, to facilitate such activity. The Advisory Panel on Future Directions for Postsecondary Education produced a report, Excellence, Accessibility, Responsibility, which endorsed the CUCC as the objective body that would facilitate “province-wide information collection and comparative analysis” to assist all stakeholders in decision-making affecting postsecondary education (Smith et al,1996, p.48). The Investing in Students Task Force cited the CUCC in its 2001 report, advocating, among other things, for the body to “assess and evaluate the existing mechanism” of transfer
between the college and university systems (Investing in Students Task Force, 2001, p.20). Traditionally, Ontario has not held a coherent postsecondary education system with collaborative sectors, but rather two systems, college and university. The colleges were established to be comprehensive institutions that were occupation oriented and designed to meet the needs of the local community. These institutions were an alternative for those who were not inclined to purely academic pursuits and who did not have the qualifications to gain entry to university.
In 2004, in the discussion paper launching the Ontario Postsecondary Review, a student expressed his desire for “the freedom to move between programs or institutions with recognition of my previous work so that I can obtain an education as unique as I hope my career will be” (Rae, 2004, p.19). However, the paper continued by describing the existing situation as a
patchwork of institutional agreements that “cover only a fraction of existing programs”; therefore,in order to “ensure that its public institutions can meet the growing expectations of students and employers, and operate as a coherent system”, Ontario would need to establish a system to set “standards for credit recognition and student transferability between institutions” (p.21).
Attempts to formalize seamless pathways, however, have been confounded by a lack of data to support claims of student demand and actual movement, particularly from college to university.
Ontario colleges were not established to facilitate transfer, but the pursuit of articulation agreements by the institutions themselves and the historic movement of students into universities have legitimized this function as one of its main activities.
The Ontario government’s mandated collection of key performance indicators (KPIs) provides one opportunity to analyze provincial data that is systematically collected in a consistent manner. The Graduate Satisfaction Survey is used to calculate the results of two of the KPIs1, employment rate and graduate satisfaction. Additionally, the survey asks graduates if they have enrolled in an educational institution; students identify which institution and program. In 2005,the colleges and the MTCU decided to expand the survey for those who indicated that they had continued their education after graduation. Therefore, in 2006-07 a modified Graduate Satisfaction Survey with new transfer related questions was introduced. These additions and changes have enabled a deeper analysis of student movement between and within institutions or sectors.
The new questions were included to capture data that could better inform colleges about the students who graduate from their respective institutions. The questions on transfer were also intended to assist the government on matters that could affect policy with respect to student movement, particularly between postsecondary sectors. In addition to documenting the program and institutional destination of graduates seeking further education, the graduate survey now gathers information on the motivation for continuing, the source of transfer information, the amount of transfer credit received, the timing of notification for credit, the relationship to the previous program, the satisfaction with the transfer experience and the satisfaction with college preparation for further studies. This report is the first comprehensive analysis of the new questions from the first year of administration (2006-07).
This report represents the second annual survey on Twitter usage and trends among college faculty. This year's survey, like that conducted in 2009, sought answers to some of the fundamental questions regarding faculty members' familiarity, perception, and experience with the micro-blogging technology, as well as whether they expect their Twitter use to increase or decrease in the future. We also examined year-to-year comparisons to see how the Twitter landscape has changed during the past 12 months. The 2010 Faculty Focus survey of nearly 1,400 higher education professionals found that more than a third (35.2 percent) of the 1,372 respondents who completed the survey in July-August 2010 use Twitter in some capacity. That's up from 30.7 percent in 2009. Meanwhile, the percentage of educators who never used Twitter decreased from 56.4 percent in 2009 to 47.9 percent in 2010. The remaining 16.9 percentage consists of those who tried Twitter, but stopped using it —an increase from 12.9 percent in 2009.
Of those who currently use Twitter, the most common activities include “to share information with peers†and “as a real-time news source.†Instructional uses, such as “to communicate with students†and “as a learning tool in the classroom†are less popular, although both activities saw increases over the previous year. Meanwhile, a number of non-users expressed concerns that Twitter creates poor writing skills and could be yet another classroom distraction. Many also noted that very few of their students use Twitter. Finally, a new trend that emerged this year centred on the belief that many feel they already have too many places to post messages or check for student questions/comments. As one professor put it, “I have no interest in adding yet another communication tool to my overloaded life. In terms of future use, just over half (56.8 percent) of current Twitter users say they expect to increase their use during the coming academic year. Only 2.5 percent say their Twitter use will likely decrease, and 40.7 percent say it will stay about the same.
This 22-page report gives a breakdown of each survey question, including a sampling of the comments provided by the respondents. The comments allowed faculty to further explain how they are using Twitter, why they stopped, or why they have no interest in using it at all.
During the past twenty years, the educational attainment level of Ontario’s population has increased dramatically. The number of individuals residing in Ontario with post-secondary education (PSE) has more than doubled since 1990. With such rapid expansion, there is always the concern that there are now too many PSE graduates in Ontario, leading to higher unemployment rates and/or underemployment rates. On the other hand, it has been argued that Ontario is still lacking PSE graduates with the right skill set to match labour market needs (Miner, 2010). Moreover, it is forecast that 70 per cent of new jobs created in Ontario will require PSE. In order to meet this expected need, the Ontario government seeks to increase the percentage of citizens with PSE attainment from 62 per cent to 70 per cent (Throne speech, 2010).
Is the Ontario labour market able to absorb these PSE graduates? This paper will address this concern through an examination of the early labour market outcomes of graduates in the period between 1982 and 2005. The primary dataset used in this study is from Statistics Canada’s National Graduates Survey (NGS) and Follow-up of Graduates Survey (FOG), which surveyed PSE graduates two and five years after graduation, respectively. There are a total of six cohorts available, including those who graduated in 1982, 1986, 1990, 1995, 2000, and 2005. The class of 2005 does not have a FOG because this survey was terminated after the 2007 NGS. Using all six available cohorts of NGS/FOG data, the following research questions are examined:
1. What is the trend of Ontario PSE graduates’ labour market outcomes between the cohorts of 1982 and 2005?
2. How do the labour market outcomes of Ontario PSE graduates compare to the rest of Canada?
3. Do Ontario PSE graduates’ labour market outcomes improve between two and five years after graduation?
4. How do labour market outcomes differ among graduates with different levels of credentials?
Among the cohorts examined, the unemployment rate of Ontario PSE graduates ranged between 4 per cent and 9 per cent two years after graduation and between 2 per cent and 7 per cent five years after graduation. PSE graduates’ unemployment rate two years after graduation mirrored the overall unemployment rate trend in Ontario and the rest of Canada over the examined period.2 However, Ontario PSE graduates’ unemployment rate five years after graduation was generally lower than the rest of Canada except graduates with advanced degrees from cohorts 1990, 1995 and 2000.
Over the cohorts examined, neither bachelor’s degree holders nor college graduates saw consistent growth in their real earnings, while the earnings of graduates with advanced degrees increased steadily. Between two and five years after graduation, PSE graduates’ earnings increased by between 15 per cent and 35 per cent, depending on credential level and cohort. Graduates with higher credentials were rewarded with higher earnings, and the earnings gap among credentials increased between two and five years after graduation. Compared with their counterparts in the rest of Canada, Ontario PSE graduates earned more, and the earnings gap was greater five years after graduation than it was two years after graduation.
High Enrollment Demands, Stretched Resources Higher education institutions are increasingly caught in a bind: Trying to serve growing enrollment demand with budgets based on the lower student counts of previous years. According to the Campus Computing Project’s 2011 Community Colleges and the Economy Survey, “More than two-thirds (69 percent) of the 448 campus presidents and district chancellors participating in the 2011 survey report increased headcount enrollment in winter 2011; concurrently,
three-fifths of the presidents participating in the survey report a reduction in the overall operating budget at their institution; two-fifths (41 percent) report that the budget cut was five percent or more.” This situation can lead to issues such as:
• over enrollments, especially in core courses, which creates a less-than-optimal and frustrating learning
experience for faculty and students;
• delayed graduation for students because of enrollment delays; and
• reduced retention rates as students seek other schools that can offer smaller class sizes and faster
degree completion.
Institutions typically can’t solve this problem by adding more sections to a class. They don’t have the budget to hire new faculty or support staff, and increased tuition revenues from higher enrollments may not cover the funding gap. Larger or overflow classroom space also may not be available, especially in an urban campus. From these factors, the core challenge emerges: How do campuses educate and graduate more students — with the same staff and classroom resources — while maintaining high learning levels and teaching standards?
Using Technology to Scale Classroom Instruction An emerging solution to this challenge is the use of blended learning curriculum design and lecture capture technology. This solution delivers courses through a mix of online and in-class content and participation.
Online lectures serve as the foundation of the blended learning model. The instructor can associate the lecture
video with online content and collaboration tools in order to deliver a complete learning experience to both on-campus and distance students. Availability of a recorded lecture can enable teaching and learning in multiple ways. For example, an inverted
teaching model is possible. Students watch a video lecture before the class, then arrive ready to discuss the lecture’s topic or work on a related activity.
By reviewing statistics on content access, instructors can identify where additional explanation is needed and
improve the content of the lecture or study materials.
Technology also helps instructors better serve students with special learning needs, using tools to create closed captioning of a video lecture and for compatibility with screen readers and other accessibility tools.
For students, the blended model delivers learning that is convenient and fits within their work schedules and
personal lives. They can access the lecture video and other content from a PC, tablet or smartphone, and from anywhere they can connect to the Internet.
How Blended Learning Helps Higher Education Technologies for delivering online access to classroom instruction offers several advantages for students, faculty,and their colleges and universities.
• Students can access the courses they need at the right time, increasing the likelihood they will graduate on
schedule. A clear, certain education path also increases student satisfaction and retention.
Higher education leaders have many opportunities today to make changes that can profoundly alter the learning
environments they provide students. The digital revolution and rise in the use of both wireless networks and mobile
computing devices promise a new paradigm in education, one in which students and faculty need anywhere, anytime access to the network; where learning can be more personalized and customized; where students are more engaged; where remote learning opportunities are optimized; and where collaboration between all stakeholders becomes much easier to achieve.
Institutions of higher learning, including public and private universities, community colleges and technical schools, are increasingly turning to digital learning approaches. Higher education students expect a more socially engaging and collaborative learning experience and new technology is enabling these opportunities that were once difficult to imagine. The Center for Digital Education’s 2011 Digital Community Colleges Survey found that 92 percent of respondents have expanded distance learning offerings for online, hybrid and Web-assisted courses over the past year. A survey of adult students also found that 33 percent cited blended courses (courses that are part online and part in the classroom) as their preferred learning format. However, layered on top of these digital opportunities are significant budget pressures and rising enrollment rates. Traditional funding sources — like grants and donations — are under tremendous strain, forcing administrators to consider tuition hikes and reduced course offerings, along with other undesirable cost-cutting measures. Along with these budget pressures, colleges and universities are experiencing an increased demand on IT resources,
including registrations systems, financial aid delivery, help desk support, mobility management, and online/selfservice applications.
The challenge that the higher education community faces is how to reduce complexity and costs within their infrastructure and maximize existing resources at a time when funding is in short supply. Colleges and universities need to reduce costs while ensuring they are providing staff and students with technology that enhances learning and leads to improved student success.
Some campuses are solving this problem by streamlining and simplifying their existing IT infrastructure. Improving what’s already in place not only saves money, but also makes it easier to enhance student learning and achievement using today’s technological tools. Here’s a look at how this is possible.