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.
The Strategic Mandate Agreement (SMA) exercise was intended to address at least three desired
outcomes:
1. To promote the government’s stated goal1 of increasing the differentiation of the Ontario postsecondary system by asking each Ontario postsecondary institution to articulate an institutional mandate statement identifying its distinctive strengths or aspirations and to identify key objectives aligned with that aspiration.
2. To advance and inform the discussion about how the Ontario system could increase its productivity to deliver a quality education to more students within the financial constraints expected in the public sector.
3. To elicit the best thinking from institutions about innovations and reforms that would support higher quality learning and, in its most ambitious form, transform Ontario’s public postsecondary system.
To assist with the evaluation of the SMAs, the Ministry of Training, Colleges and Universities (MTCU)
“…instructed the Higher Education Quality Council of Ontario (HEQCO) to establish a peer review panel to evaluate…mandate submissions … for their ability to achieve significant improvements in productivity, quality and affordability through both innovation and differentiation.” The members of the Expert Panel are listed in Appendix 1.
Since the Higher Education Quality Council of Ontario (HEQCO) was launched, it has completed and published more than 140 research studies – and funded dozens more that are currently underway – that explore a wide range of trends and issues involving Ontario's postsecondary system. Drawing mainly from HEQCO's own research, this @Issue paper:
. Describes how the definition of student success has gradually broadened at Ontario colleges and universities;
. Summarizes some of the underlying institutional and student population factors that also impact on most current measures of student success;
. Provides broad observations about some recent findings as they relate to the awareness, utilization and impact of various student service, course-based and other initiatives designed to promote student success;
. Recommends what can be measured – as well as how and what outcomes can be expected – when it comes to initiatives and interventions designed to improve student success.
Some readers will be looking for the "silver bullet" within this paper. They will want to be told about a best practice that has been proven to be most effective at improving academic achievement, retention or engagement at an Ontario college or university, and that can be replicated to equal effect elsewhere. This @Issue paper does not identify “silver bullets.†As explained in the pages that follow, the scope and scale of an intervention may make it difficult to measure – or even expect – considerable impacts on student success, especially in the short term.
This paper does provide broad lessons, however, that are likely to be applicable across a wide range of student service, course-based and other interventions currently offered at Ontario colleges and universities.
Defining “Student Successâ€
For several decades, both governments and colleges/universities in Ontario and across Canada have tried to broaden access to postsecondary education (PSE) In particular, it was believed that a wide variety of barriers – family and social background, financial resources, information about options, etc. – needed to be overcome to encourage broader PSE participation, especially by those from traditionally under-represented groups (low income, first-generation, Aboriginal, visible
minority, rural, etc.).
The past few years have ushered in more strident calls for accountability across institutions of higher learning. Various internal and external stakeholders are asking questions like "Are students learning what we want them to learn?" and "How do the students' scores from one institution compare to its peers?" As a result, more institutions are looking for new, more far-reaching ways to assess student learning and then use assessment findings to improve students' educational experiences.
However, as Trudy Banta notes in her article An Accountability Program Primer for Administrators, “just as simply weighing a pig will not make it fatter, spending millions simply to test college students is not likely to help them learn more.†(p. 6)
While assessing institutional effectiveness is a noble pursuit, measuring student learning is not always easy, and like so many things we try to quantify, there’s much more to learning than a number in a datasheet. As Roxanne Cullen and Michael Harris note in their article The Dash to Dashboards, “The difficulty we have in higher education in defining and measuring our outcomes lies in the complexity of our business: the business of learning. A widget company or a fast-food chain has clearly defined goals and can usually pinpoint with fine accuracy where and how to address loss in sales or glitches in production or service. Higher education is being called on to be able to perform similar feats, but creating a graduate for the 21st century workforce is a very different kind of operation.†(p. 10) This special report Educational Assessment: Designing a System for Mo re Meaningful Results features articles from Academic Leader, and looks at the assessment issue from a variety of
different angles. Articles in the result include:
.The Faculty and Program-Wide Learning Outcome Assessment
. Assessing the Degree of Learner-Centeredness in a Department or Unit
. Keys to Effective Program-Level Assessment
. Counting Something Leads to Change in an Office or in a Classroom
. An Accountability Program Primer for Administrators
Whether you're looking to completely change your approach to assessment, or simply improve the efficacy of your current assessment processes, we hope this report will help guide your discussions and eventual decisions.
Student Debt and the Class of 2013 is our ninth annual report on the cumulative student loan debt of recent graduates from four-year colleges. Our analysis of available data finds debt levels continue to rise, with considerable variation among states as well as colleges.
About seven in 10 (69%) college seniors who graduated from public and private nonprofit colleges in 2013 had student loan debt. These borrowers owed an average of $28,400, up two percent compared to $27,850 for public and nonprofit graduates in 2012. About one-fifth (19%) of the Class of 2013’s debt was comprised of private loans, which are typically more costly and provide fewer consumer protections and repayment options than safer federal loans.
Colleges Serving Aboriginal Learners and Communities 2010 Survey Highlights
Growing enrollments, shrinking budgets and unprecedented diversity in student populations are just a few of the challenges community colleges around the country are facing today. And there are no signs that the situation will change anytime soon.
The American Association of Community Colleges estimates that U.S. enrollment in two-year colleges increased 17 percent from 2007 to 2009, from 6.8 million students to 8 million. Anecdotal evidence says this trend will continue.
During an economic downturn, community colleges feel an even greater strain with enrollment. People go back to school to learn new skills or get certificates or degrees that help their careers. Many must learn new jobs because their previous ones have gone away. While it’s good to have more students, the growth has been so rapid that it has put pressure on the institutions. How do they handle more students every semester? How do they grow despite less funding from federal, state and county governments?
“Because community colleges are growing so fast, and because they’re relatively new as institutions, they don’t have
the infrastructure that the big universities have. And yet they are being asked to do more,” said John Halpin, Vice President of SLED Strategy and Programs at the Center for Digital Education (CDE), a national research and advisory institute focused on IT
policy and best practices in education.
A New Course Community colleges now have a terrific opportunity to evolve thanks to technology, Halpin said. Numerous technologies — wireless, broadband, cloud computing and others — have greatly matured in recent years. They’ve been proven in the real world, and they’ve become more efficient and less expensive.
At community colleges, whether it’s for teaching and learning or for financial aid or other back-end systems, technology is making a huge impact on productivity. Students are learning in exciting new ways. E-mentoring, e-advising, online tutoring and even educational gaming are effectively engaging students and enhancing the educational experience. Professors are incorporating audio/video content to deliver learning in a manner that grabs the student’s interest. Schools are processing incoming students more efficiently and less expensively by putting administrative functions, such as application, orientation and registration, online.
Online learning, or e-learning, is booming. “Students value distance learning,” said Wilton Agatstein, Senior Fellow with the CDE. “It is very convenient for them, as they can learn from any place and at any time. Schools value distance learning because they can serve more students and a larger student demographic without having to build new classrooms and campuses. Distance learning serves everyone well, which is why its adoption is accelerating.”
Technology expectations are sky high. Students step onto campus expecting to incorporate their own communications tools — phones, music players, e-book readers, laptops/netbooks and other devices — into the learning experience. They want wireless access from any point on campus. And they want the ability to connect to school resources even when off campus.
Teachers and staff want the best technology too, because the right tools help everyone.
So much of what determines the overall success or failure of a course takes place well in advance of the first day of class. It’s the thoughtful contemplation of your vision for the course — from what you want your students to learn, to selecting the instructional activities, assignments, and materials that will fuel that learning, to determining how you will measure
learning outcomes. Course Design and Development Ideas That Work examines this multifaceted issue from a variety of fronts to bring you proven course design alternatives implemented in courses of varying sizes and disciplines. Featuring 12 articles pulled from the pages of The Teaching Professor, the report will inspire you to rethink some components of your course.
For example, in the article titled A Large Course with a Small Course Option, we learn about an innovative course design for a large 300-level course. Essentially, the instructor created two options: in one, students attend lectures and take four exams. In the second option, students are responsible for those same lectures and exams, but they also participate in small group
discussions and complete a set of writing assignments. The second option was most valued by students who are not very good test-takers or who have a keen interest in the subject.
In the article The Placement of Those Steppingstones, the University of Richmond’s Joe Ben Hoyle compares the placement of steppingstones in a koi pond to the educational processes teachers use to help their students get from point A to point B. Hoyle theorizes that “education stumbles when either the learning points are not sequenced in a clearly logical order or they are not placed at a proper distance from each other.”
Other articles in Course Design and Development Ideas That Work include:
• A Course Redesign that Contributed to Student Success
• Pairing vs. Small Groups: A Model for Analytical Collaboration
• How Blended Learning Works
• Should Students Have a Role in Setting Course Goals?
• In-Class Writing: A Technique That Promotes Learning and Diagnoses Misconceptions
If you’re looking to update an existing course, this report will give you sound strategies to
consider.
Maryellen Weimer
Editor
The Teaching Professor
Over the last decade, Ontario has had great success increasing high school graduation rates (5 year rates have improved from approximately 68% to 82%1), and sending more graduates on to university, college, or apprenticeships. But some students—Aboriginal, low-income, disabled, and those from the English-speaking Caribbean and Central and South America—still do not share equally in educational success.
Improved graduation rates stem largely from the province’s Student Success Strategy, which has created more caring,
motivating environments for students in grades 7 to 12, with focused support for at-risk learners and at key transitions.
Ontario has also expanded co-operative education, developed ways to make up components of failed courses through a
system known as “credit recovery,” created focused programs called Specialist High Skills Majors, and designed programs
that let students earn dual credits that count toward both their high-school diploma and a post-secondary diploma, degree or
certification.
What are the most popular practices and tactics for electronic student recruitment at the undergraduate level? To find out, Noel-Levitz conducted a web-based poll in the spring of 2014 as part of the firm’s continuing series of benchmark polls for higher education. As a special bonus, a number of gaps between campus practices and prospective students’ expectations are identified based on a parallel study of college-bound high school students in spring 2014 (see information at bottom).
Let’s quickly look at the difference between the two:
IQ is a score based on a standardized test of your intelligence EQ is a measure of a person’s level
of emotional intelligence
Emotional intelligence, or EQ, is more important than IQ.
The following research reports detail the results of programs or inventions designed to increase the retention of post-secondary students. This bibliography is intended as a sample of the recent literature on this topic, rather than an exhaustive list. For inclusion, articles or reports generally described experimental research studies of PSE retention programs. Preference was given to larger scale projects focused on colleges in jurisdictions outside of Ontario (in several cases, progress reports from ongoing, large-scale initiatives were also included). Where possible, links to the original research are provided.
Students enter college hoping it will be a major step up from what they were doing before, writes Roger Martin, but
they are often disappointed.
61% of parents have more than one type of debt, with a mean number of debt types at 2.25
▪ 28% of parents have either type of student loan debt (for parents’ or kids’ education), and 5%
have student loan debt for both parents’ and kids’ education
▪ Parents with student loan debt (from parents’ education) are significantly more likely to have
credit card debt (67% vs. 54%) and payday loan debt (19% vs. 7%)
▪ Parents with student loan debt (from kid’s education) are significantly more likely to have
credit card debt (75% vs. 54%) and payday loan debt (38% vs. 5%)
▪ Parents with student loan debt (from parents’ education) are significantly more likely to say
they lose sleep worrying about college costs for their kids (49% vs. 40%)
Demographic change, economic globalization, and the emergence of an increasingly knowledge-based economy have triggered rapid and unprecedented change in the Ontario labour market and in the skills required by employers. Since colleges and universities provide the largest inflow of workers into the labour market – generating four out of five new labour market entrants (Lapointe et al., 2006) – an effective, flexible, and responsive system of postsecondary education and training has been recognized as an essential investment in human capital. In an interconnected global economy, a diverse, well-educated, and highly skilled workforce is critical not only to innovation, productivity, and economic growth, but also to maximizing the human potential of all Ontario citizens.
This report summarizes the findings of an exploratory study commissioned by the Higher Education Quality Council of Ontario (HEQCO) on the impact of work-integrated learning (WIL) on the social and human capital of postsecondary education (PSE) graduates, with particular reference to the quality of student learning and labour market outcomes associated with WIL programs. The project was undertaken by HEQCO in collaboration with a working group of nine Ontario postsecondary institutions: Algonquin College, George Brown College, Georgian College, Laurentian University, Niagara College, University of Ottawa, University of Waterloo, University of Windsor, and Wilfrid Laurier University. The study had three overarching goals:
1. Develop a typology for understanding work-integrated learning in Ontario’s postsecondary sector;
2. Identify the learning, labour market and other benefits associated with WIL, as well as challenges and opportunities;
3. Recommend key issues and questions that would provide the focus for a second and larger phase of the project, including research with postsecondary students.
The research involved 39 key informants from Ontario colleges and universities, and 25 representatives of businesses and community organizations that provide WIL opportunities for students. Institutional key informants interviewed for the study expressed strong support for the overall project, including the goal of developing a shared framework and common language for WIL programs in order to minimize the potential for confusion between institutions, students, and employers. A typology of work-integrated learning was viewed as important to facilitating communication about WIL within and between institutions, and among institutions, students, employers, and community partners. Employers and community partners, meanwhile, valued
their participation in work-integrated learning programs, and appreciated the opportunity to share their perspectives on how WIL programs could be enhanced.
The NSSE National Data Project is an element of ongoing engagement research and implementation practice in Canada. It has two primary objectives. The first is the construction of detailed NSSE reports (items means and frequencies, benchmarks and learning scales) at the academic program- and student subgroup-level for individual institutions rather than for peer groups. The second is the development of statistical (regression) models to measure the relative contribution to engagement variation of student characteristics, program mix and institutional character at both the student record- and institution-level. Both objectives address the broader goals of providing greater focus to engagement improvement efforts, identifying clusters of promising practices and best engagement results, supporting improved interpretation and use of institutional engagement scores, and informing the development of institutional accountability procedures and metrics.
The core of the project is a record-level data file containing the approximately 69,000 2008 or 2009 NSSE responses and additional student records system data representing 44 Canadian universities. Student responses were classified into 10 general academic programs (e.g., Social Sciences) and over 75 specific academic programs (e.g., History, Biology) and over 30 student subgroups (including first generation, First Nations and international).
The detailed NSSE reports indicate a considerable level of variation in student characteristics and program mix across Canadian universities; large differences in engagement item scores and benchmarks across academic program clusters and specific programs within clusters, and across student subgroups; and wide engagement variability across institutions of differing size. A summary of the results from these detailed reports is presented below. The program- and student subgroup-level NSSE reports provide a more focused basis for comparing engagement university by university, and strongly suggest that institution-level engagement comparisons should take account of student, program and size variation and should not be presented without context in ranked format.
The regression models provide a more formal basis for identifying and quantifying the role of student, program and size variation in engagement, and permit a number of conclusions. First, student characteristics, program mix and institutional character all contribute to a comprehensive statistical explanation of engagement variation. Second, the wide variation in institutional engagement scores is reduced considerably when student characteristics, program mix and institutional size are controlled. Third, each engagement benchmark requires a distinct statistical explanation: factors important to one benchmark are often quite different from those important to another. Fourth, Francophone and Anglophone institutions differ with respect to certain key engagement dynamics. And finally, the models suggest several approaches to defining the institutional contribution to engagement and the scope of institutional potential to
modify engagement level.
At all levels of education — but particularly in higher education — campuses are revamping their IT environments and policies to accommodate, manage and support emerging technology trends. Desktop virtualization is an approach that addresses many of these needs. This Center for Digital Education issue brief explains how desktop virtualization can support emerging trends such as BYOD, improve access to resources, ensure user authentication and security, and increase efficiencies for the IT department.
Aging population resulting in lower labour force participation rates
Knowledge economy requiring a more educated work force
Interest in adult college completion, both for adults with some college credit and those who have never before attended college, has dramatically increased across the higher education community. This report draws from the considerable body of recent research focused on various populations of adult learners, including data gathered during Higher Ed Insight's recent evaluation of Lumina Foundation's adult college completion efforts. The goal of the report is to synthesize what has been learned about the needs of adult college students, particularly those returning to college after stopping out, as well as to identify areas where further inquiry is needed in order to demonstrate effective ways to support degree completion for adults.
Background/Context: Parental involvement is a key ingredient in the educational success of students and an integral component of involvement is teacher-parent communication. One body of research finds that minority immigrant parents face barriers in interacting with schools, and communicate less with schools than native-born White parents. However, we know little of how schools reach out to parents.
Purpose: In this study, I use a nationally representative sample of high schoolers to examine patterns of teachers communicating with parents.