As the threat of MOOCs and for-profit education fades, so too does the sense of urgency that drives innovation.
Yet anyone who thinks that a decade from now higher education will look much as it does today is
sadly mistaken.
Higher education starts earlier than ever as students earn more early college/dual degree and AP credits. Students increasingly accumulate credits from multiple institutions. Undergraduate introductory survey courses lose enrollment, and, as they do, the cross-subsidies that helped support upper division courses decline. In the humanities, the loss of introductory course enrollment.
contributes to a decline in the number of majors.
Leadership Development:
An Annotated Bibliography
University leaders are actively addressing the issue of mental health on campuses across Canada. No longer seen as simply a question of crisis management, mental health issues are being approached in more proactive and systematic ways, as universities increasingly appreciate the advantages of prevention over reaction. “We are exploring what we need as a sector to deal with mental health issues in the post-secondary setting,” says Dr. Su-Ting Teo, Director of Student Health and Wellness at Ryerson University. Dr. Teo is co-chair of a working group on mental health for the Canadian Association of College and University Student Services (CACUSS), one of several inter-institutional organizations focusing on the issue. The key is to identify best practices and then put into action strategies and plans that work best for an individual institution
and its specific circumstances.
Incoming students at Seneca College and at most other community colleges in Ontario undergo a post-admission
English language skills assessment. The assessment is used to diagnose their writing needs and
to place them into a course appropriate to their level of proficiency.
Over the past five years, an increasing number of incoming students at Seneca have been placed into a developmental English course called EAC149 (in 2005, 38.0 per cent; in 2009, 43.4). EAC149 is a four-hourper- week, non-credit reading and writing course designed to prepare students for college-level English.
While developmental or remedial classes are not necessarily associated with lower academic success (Attewell, Lavin, Domina & Levey, 2006), our records indicate that a lower success rate in EAC149 puts students at a pronounced risk of not graduating from Seneca College. Effective methods to encourage successful completion of EAC149 may thus increase students’ chances of graduating from their programs.
This project assessed the impact of tablet technology and DyKnow interactive software on the development of
students’ writing skills in EAC149. Tablets enable individuals to use a pen-like instrument called a stylus to
take notes, record marginal comments and modify digital text in a manner similar to writing with a pen on
paper. DyKnow interactive software enables teachers to share and record digital content and collaborate with
students individually and collectively as a classroom session proceeds. With each tablet linked to DyKnow
interactive software, a teacher can display the work of individual students anonymously on a screen for
viewing by all class members and incorporate notations and marginal comments as they discuss the text.
Abstract
Along with the amount of time spent learning (or time-on-task), the quality of learning time has a real influence on learning performance. Quality of time in online learning depends on students’ time availability and their willingness to devote quality cognitive time to learning activities. However, the quantity and quality of the time spent by adult e-learners on
learning activities can be reduced by professional, family, and social commitments. Considering that the main time pattern followed by most adult e-learners is a professional one, it may be beneficial for online education programs to offer a certain degree of flexibility in instructional time that might allow adult learners to adjust their learning times to their professional constraints. However, using the time left over once professional and family requirements have been fulfilled could lead to a reduction in quality time for learning. This paper starts by introducing the concept of quality of learning time from an online student centred perspective. The impact of students’ time-related variables (working hours, timeon-task engagement, time flexibility, time of day, day of week) is then analyzed according to individual and collaborative grades achieved during an online master’s degree program. The data show that both students’ time flexibility (r = .98) and especially their availability to learn in the morning are related to better grades in individual (r = .93) and collaborative activities (r = .46).
Keywords: E-learning; computer-supported collaborative learning; academic performance;
e-learning quality; time flexibility; time-on-task; time quality; learner time
Insight into Impressive Practices in Career Services: A Reference Guide is the second of two reports summarizing the findings of a CERIC-funded study that sought to establish the importance publicly funded universities and colleges place on the provision of career development services and to highlight particularly impressive models of career service provision across the country.
Specifically, CERIC’s interest in conducting this study was two-fold:
1. To understand the landscape of career service models across Canada
2. To examine the level of institutional commitment to the provision of career services
A New Model for Effective Teaching
How might education change if classrooms become places of active learning, not just passive listening? Higher education students are already active learners, using e-books, Web content, and social media to explore and discover in their daily lives. But what happens when these students go to the classroom, especially for high-enrollment courses? They sometimes experience the curiosity-stifling thud of having to listen to and take notes on a lecture, with its mostly one-way communication format. And with limited opportunities for Q&A during the class session and no ability to review the lecture content later to study a difficult concept, it’s no wonder students may become discouraged and disengaged.
This traditional learning model won’t cut it with students who are accustomed to active learning, either on their own or in small groups of classmates. Students increasingly expect a classroom experience that helps them develop knowledge for themselves, not just passively receive one-dimensional information. Students want to do something meaningful with content instead of just listening to a lecture. They also expect to meet with discussion groups and project teams and
do much of their assigned work during class time instead of meeting separately.
Another factor that is playing a role in student perceptions: the value gained from education in a tough economy. Instructors need to make education worth a student’s investment of time and money by ensuring the classroom experience is productive and meaningful. These expectations are leading higher education toward “flipped” classrooms and a learning model that blends online and in-class learning. Respondents to the Center for Digital Education’s 2011 Community Colleges Survey indicated the majority of their students enroll in online or blended courses and that more than two-thirds of online courses used some type of online collaboration tools to promote learning.
The reasons why students need to be involved and engaged when they attend college are well established. Engagement can be the difference between completing a degree and dropping out. Research has sought to identify what makes student involvement more likely. Factors like student-faculty interaction, active and collaborative learning experiences, involvement in ex-tracurricular activities, and living on campus have all been shown to make a difference.
When teachers think the best, most important way to improve their teaching is by developing their content knowledge, they end up with sophisticated levels of knowledge, but they have only simplistic instructional methods to convey that material. To imagine that content matters more than process is to imagine that the car is more important than the road. Both are essential. What we teach and how we teach it are inextricably linked and very much dependent on one another.
This special report features 11 articles pulled from the pages of The Teaching Professor to help you discover new ways to build connections between what you teach and how you teach it. The report offers tips on how to engage students, give feedback, create a climate for learning, and more. It also provides fresh perspectives on how faculty should approach their development as teachers.
It’s been said that few things can enhance student learning more than an instructor’s commitment to ongoing professional development. Here’s a sample of the articles you will find in Effective Strategies for Improving College Teaching and Learning:
• Faculty Self-Disclosures in the College Classroom
• A Tree Falling in the Forest: Helping Students ‘Hear’ and Use Your Comments
• Understanding What You See Happening in Class
• Can Training Make You a Better Teacher?
• Striving for Academic Excellence
Although there is no single best teaching method, approach, or style, this special report will give you a variety of strategies to try. Those that work effectively with your students you should make your own.
This paper reports the results of an analysis of persistence in post-secondary education (PSE) for college students in Ontario based on the extremely rich YITS-B dataset that has been used for other recent studies at the national level. We calculate hazard or transition rates (and cumulative transition rates) with respect to those who i) graduate, ii) switch programs, and iii) leave PSE (perhaps to return later). We also look at the reasons for switching and leaving, subsequent re-entry rates among leavers, and graduation and persistence rates once switchers and re-entrants are taken into account. These patterns are then probed in more detail using hazard (regression) models where switching and leaving are related to a variety of individual characteristics, family background, high school outcomes, and early pse experiences. Student pathways are seen to be varied. Perhaps the single most important finding is that the proportion of students who either obtain a degree or continue to be enrolled somewhere in the PSE system in the years after entering a first program remains close to the 80 percent mark for the five years following entry. Seventy-one percent of students graduate within five years of starting, while another 6 percent are still in the PSE system.
This paper examines the rise in student loan delinquency and default drawing on a unique set of administrative data on federal student borrowing, matched to earnings records from de-identified tax records. Most of the increase in default is associated with the rise in the number of borrowers at for-profit schools and, to a lesser extent, 2-year institutions and certain other non-selective institutions, whose students historically composed only a small share of borrowers. These non-traditional borrowers were drawn from lower income families, attended institutions with relatively weak educational outcomes, and experienced poor labor market outcomes after leaving school. In contrast, default rates among borrowers attending most 4-year public and non-profit private institutions and graduate borrowers—borrowers who represent the vast majority of the federal loan portfolio—have remained low, despite the severe recession and their relatively high loan balances. Their higher earnings, low rates of unemployment, and greater family resources appear to have enabled them to avoid adverse loan outcomes even during times of hardship. Decomposition analysis indicates that changes in characteristics of borrowers and the institutions they attended are associated with much of the doubling in default rates between 2000 and 2011. Changes in the type of schools attended, debt burdens, and labor market outcomes of non-traditional borrowers at for-profit and 2-year colleges explain the
largest share.
ALGONQUIN COLLEGE KEY AREAS OF DIFFERENTIATION
Algonquin College delivers a comprehensive range of applied education and training experiences to
serve the diverse learner choices and the breadth of employer labour demands across Eastern Ontario
and the province.
Algonquin College works with industry partners to:
• Develop labour-market informed programs and services;
• Provide opportunities for work-integrated learning, and experience inside and outside the
classroom; and
• Engage in applied research and commercialization activities that support student success,
employee growth, and social and economic development in the region and beyond.
Algonquin College employees are engaged in the strategic direction of the College to:
• Lead the transformation of Ontario’s postsecondary system;
• Deliver high-quality teaching methods and modalities that leverage technology to enhance the
educational experience; and
• Improve student learning outcomes for career and life success.
Algonquin College broadens learner access to applied postsecondary education and training in
Ontario, demonstrating leadership through:
• Alternative learning modalities and options to suit multiple learning styles and learner
preferences;
• New, targeted approaches to programs and services that improve pathways for learners of diverse
demographic characteristics; and
• Smart investments in technology that enhance the Algonquin learner experience.
Approaches to higher education have been evolving at an increasingly rapid pace over the past decade, and graduate education is a critical part of that evolution. In Ontario alone, the number of new programs offered at our institutions has increased dramatically since 2004, and between 1999 and 2009, the number of PhD students enrolled in Ontario universities has nearly doubled (Maldonado, Wiggers, & Arnold, 2013). Students are coming to graduate school at different stages of their lives (Wiggers, Lennon, & Frank, 2011) and, in today’s economy, many are leaving graduate schools with increased uncertainty and anxiety about their career prospects (Maldonado et al., 2013; Patton, 2012).
Whereas in the past it was considered the norm for graduate students to move on to careers in academia, recent studies have confirmed what is apparent to most casual observers: the standard path is no longer into academia. For example, a 2010 study estimated that about 50 per cent of US PhD graduates now take positions outside of academia (Wendler, Bridgeman, Cline, Millett, Rock, Bell, & McAllister, 2010), and those who end up in academia are less likely to hold full-time tenure-stream positions. From 1975 to 2009, the proportion of full-time tenured and tenure-track faculty positions decreased as a proportion of the total number of instructional staff at US universities from approximately 45 to 24 per cent (AAUC), with part-time faculty positions comprising the majority of instructional positions (41%) by 2009. Within the Canadian context, current estimates suggest that less than 25 per cent of PhD students will end up in full-time tenure-stream research and teaching positions (Charbonneau, 2011; Tamburri, 2010).
In March 2012, the U.S. Council on Foreign Relations released its ”U.S. Education Reform and National Security” report calling attention to a distressing truth that many people have known for years: American students are lagging behind their international peers. This report laid out the implications in stark terms with a sense of urgency reminiscent of President Obama’s 2011 State of the Union Address, in which he called for the U.S. to ”outeducate” the rest of the world.
KPI 2015
This paper examines the relationship between individuals’ personal exposure to economic conditions and their investment choices in the context of human capital. Focusing on bachelor’s degree recipients, we find that birth cohorts exposed to higher unemployment rates during typical schooling years select majors that earn higher wages, that have better employment prospects, and that more often lead to work in a related field. Much of this switching behavior can be considered a rational response to differences in particular majors’ labor market prospects during a recession. However, higher unemployment leads to other meaningful changes in the distribution of majors. Conditional on changes in lifetime expected earnings, recessions encourage women to enter male-dominated fields, and students of both genders pursue more difficult majors, such as STEM
fields. These findings imply that the economic environment changes how students select majors, possibly by encouraging them to consider a broader range of possible degree fields. Finally, in the absence of this compensating behavior, we estimate that the average estimated costs of graduating in a recession would be roughly ten percent larger.
In recent years, there has been a great and growing interest in measuring educational quality in the Ontario postsecondary education sector (PSE). Colleges and universities are interested in quality measures for academic planning purposes. Reliable indicators would allow them to identify effective educational practices as well as areas for improvement and to develop strategies in the hopes of improving educational experiences for students. The government is interested for accountability reasons. Quality has become an increasingly prominent focus of the McGuinty government, which seeks not only to increase the number of PSE graduates in the province but also to ensure the quality of degrees being awarded. Robust quality measures could be used to monitor individual institutional performance and to address issues at the sector level. Reliable and comparable provincial-level quality indicators could provide answers to questions such as how the Ontario PSE system is doing compared to other jurisdictions. The problem, however, is that educational quality cannot be easily defined, measured or assessed. Traditional quality indicators consist of two types: input measures (e.g., student-faculty ratio, class size, operating revenue per student) and outcome measures (e.g., retention rate, graduation rate, employment rate). Many researchers have argued that the focus on input measures and the oversimplified use of output measures may create a misleading picture of the quality of PSE in Ontario. Using input measures as quality indicators ignores the substantial differences in the effectiveness with which
institutions use available resources. Using output measures as quality indicators ignores the fact that universities differ from one another in terms of mission, size, location and student composition.
In recent months, national discussion on the need to reform Canada’s health care system has taken on new urgency as First Minister meetings have taken place and evidence of the medical, economic, and social effects of the current system mounts. The increasing costs of human care services and new technologies, combined with an aging population and changing roles of health care providers, are creating unprecedented pressures on our health care system.
In terms of human resources, the public has been focused on an acute shortage of physicians and nurses. In Ontario, efforts to improve supply through innovative projects such as Ontario’s International Medical Graduate program (IMG) and CARE bridging program for internationally trained nurses are meeting with some success.
Teaching is a science, an art, and a craft.
The Task Force on Competitiveness, Productivity and Economic Progress and its research arm, the Institute for Competitiveness and Prosperity, were established by the Government of Ontario in 2001 to “measure and monitor Ontario’s productivity, competitiveness and economic progress compared to other provinces and the U.S. states and to report to the public on a regular basis.” The Task Force has issued two annual reports, Closing the Prosperity Gap (November 2002) and Investing for Prosperity (November 2003), and the Institute four working papers: A View of Ontario: Ontario’s Clusters of Innovations (April 2002), Measuring Ontario’s Prosperity: Developing an Economic Indicator System (August 2002), Missing Opportunities: Ontario’s Urban Prosperity Gap (June 2003), and Striking Similarities: Attitudes and Ontario’s Prosperity
Gap (September 2003).