Business, political, and educational leaders are increasingly asking schools to integrate development of skills such as problem solving, critical thinking, and collaboration into the teaching and learning of academic subjects. These skills are often referred to as “21st century skills” or “deeper learning.”
At the request of several foundations, the National Research Council appointed a committee of experts in education, psychology, and economics to more clearly define “deeper learning” and “21st century skills,” consider these skills’ importance for positive outcomes in education, work, and other areas of life, address how to teach them, and examine related
issues.
By enhancing communication with students, ONCAT both increases their awareness of transfer opportunities and facilitates their ability to transfer. ONCAT works with students, through its advisory board, by engaging with student leaders and participating in student fairs, to ensure that there is a better understanding of the transfer and mobility opportunities afforded by our system.
95% of those in households earning over $75,000 use the internet and cell phones Those in higher-income households are more likely to use the internet on any given day, own multiple internet-ready devices, do things involving money online, and get news online Those in higher-income households are different from other Americans in their tech ownership and use. Analysis of several recent surveys conducted by the Pew Research Center’s Internet & American Life Projects find that there are key differences between those who live in households making $75,000 or more relative to those in lower-income households. Some 95% of Americans who live in households earning $75,000 or more a year use the internet at least occasionally, compared with 70% of those living in households earning less than $75,000. Even among those who use the internet, the well off are more likely than those with less income to use technology. Of those 95% of higher-income internet users:
- 99% use the internet at home, compared with 93% of the internet users in lower brackets.
- 93% of higher-income home internet users have some type of broadband connection versus 85% of the internet users who live in households earning less than $75,000 per year. That translates into 87% of all those in live in those better-off households having broadband at home.
- 95% of higher-income households own some type of cell phone compared with 83% in households with less income.
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).
This document supersedes the sections outlining assessment, evaluation, and reporting policy in The Ontario Curriculum, Grades 9 to 12: Program Planning and Assessment, 2000 and in curriculum policy documents for Grades 1 to 8, Grades 9 and 10, and Grades 11 and 12 published before the release of this document, with the following exception: The achievement charts in all current curriculum policy documents remain in effect.
In the knowledge-based economy (KBE), a strong education system should produce a
citizenry that is equipped with the tools for success: skills,ompetencies, and knowledge. The role of higher education in the development of the KBE is crucial because institutions are the "creators of, and venues for, cultural and social activity” (OECD, 2007: 39). Around the world, governments are aiming to provide higher education equitably and en masse while ensuring it is both of high quality and of relevance to the labour market. This is a challenge that Ontario, too, faces as it prepares its strategies to enhance the knowledge and skills of its citizens. This research note is the second of a three-part series that examines international trends in strategies for developing knowledge-based economies1. It examines issues pertainingto the development of skills, competencies, and knowledge — areas of focused government attention — and the labour market issues faced by skilled graduates. It draws heavily on the experiences of the United Kingdom, the European Union, and the United States and examines particular fields of government interest in addition to the issues of labour market demand, of skills-matching, and of employer needs. An understanding of these international activities and trends should be of help when Ontario is developing a comprehensive and informed strategy for ensuring students are prepared for the KBE labour market. This research note is structured in three sections, each covering a major theme in the literature. In the first section, debates on the role of higher education within the knowledge based economy are addressed. The role of government in determining future skills needs is discussed, and international trends toward developing a demand-led rather than a supply-led system are addressed. The second section provides an overview of trends in such government activities designed to produce
graduates with specific skill sets and qualifications in Science, Technology, Engineering,and Mathematics (STEM), Creative Competencies, and Middle Skills which many governments consider priority areas. The third section examines skills-matching in the labour market and deals specifically with skills-matching and valued graduate characteristics by examining Ontario data on skills training.
Offering an array of support services to meet the diverse needs of post-secondary learners assumes that these services improve success by providing students with compensatory resources and opportunities for engagement (Purnell & Blank,
2004). Little Canadian research, however, has examined students’ use of support services. This study describes how campus support services are used by Ontario college students and factors that influence the uptake of those services. Results show that despite relatively high student-reported need, the majority of Ontario college students did not utilize most campus services. Age, gender and ethnicity, receptivity to support, negative college experiences, faculty referral, studying with peers, and poor grades were associated with increased use of some services. The findings argue for a proactive service delivery model using web-based resources to minimize location-based barriers and to more effectively promote services dedicated to student success.
Among faculty, student evaluations of teaching (SET) are a source of pride and satisfaction—and frustration and anxiety. High-stakes decisions including tenure and promotions rely on SET. Yet it is widely believed that they are primarily a popularity contest; that it’s easy to “game” ratings; that good teachers get bad ratings and vice versa; and that rating anxiety stifles pedagogical innovation and encourages faculty to water down course content. What’s the truth?
This report documents the central role of the college-educated workforce in improving labour productivity across the economy and supporting an innovation culture in the workplace. It describes critical “enabling occupations” that play a key role in allowing companies to build a culture of innovation in the workplace which they need if they are to continually restructure for success. It develops a “Prosperity Cycle” model and demonstrates the importance of college graduates in building a culture of innovation in a dozen key Ontario industries.
Ontarians work hard and build for the future, hoping that rising prosperity will improve the quality of life for their families. A higher standard of living seems hard to achieve these days – especially for young people leaving school. Government, businesses, researchers and others believe that Ontario’s prosperity depends on rising productivity that improves the competitiveness of industry. But how is this achieved and how do young people share in the benefits?
The education of students with Special Needs (SN) has been well researched at the school level (K-12) and a growing number of studies have been conducted at the postsecondary education (PSE) level. However, there is little research on transitions of SN students between the two systems. Inclusive policies at both the school and postsecondary level are designed to encourage students with SN to continue with their education. However, relatively few do so. Some students with SN fail to complete their schooling and drop. Others graduate from high school but decide against enrolling in a college or university program. While some of these students may prefer direct entry to the labour market others have postsecondary aspirations for which they are not adequately prepared or supported. The social goal of inclusive education is to accommodate the aspirations of all students, including those designated as SN. The existing research on college and university access suggests that students with SN who aspire to PSE face significant barriers. How effectively they meet these challenges requires a better understanding of the basis for their post-high school pathway choices. Socio-demographic factors like gender, ethnicity, and socio-economic status have long been recognized as influencing access to PSE, whether or not the individual is a student with special needs. Whatever their background, high school students who aspire to PSE must meet the academic entrance requirements of the institution (college or university) and, at the same time, develop the self-confidence and dispositions to study that are needed to succeed in a
postsecondary program. Acquiring the necessary capabilities can be especially challenging forat-risk students – those with low levels of achievement and those with special needs. Many, nevertheless, display the resilience needed to plan for, invest in, and realize their PSE aspirations. Schools play a key role in developing these resilient qualities in adolescents. Inclusive policies that emphasize students’ “strengths” rather than “deficits” have led to greater integration into mainstream classrooms. Learning in integrated settings is assumed to enhance opportunities for school engagement that complement and contribute to key student beliefs and behaviours – specifically, their sense of personal competence, dependability, and capacity for self-regulation.
Faculty developers and others who specialize in research on teaching and learning recognize that much of the research is convergent. Positive teaching and learning practices do not operate in stand-alone vacuums. A savvy university teacher draws eclectically from a number of sources and resources to design coherent teaching and learning plans. This article will examine symbiotically how cooperative learning and deep learning together can promote greater success both in and out of the classroom.
In this article, we analyze a broad range of factors that affect the sense of belonging of undergraduate students taking a first-year academic literacy course (ALC) at a multicultural, multilingual university in Vancouver, Canada. Students who fail to meet the university’s language and literacy requirements are required to pass ALC before they can enrol in writing courses across the disciplines. Consequently, many of those students feel that they have yet to be accepted as fully legitimate members of the university community. We present data from a two-year, mixed-method study, which involved asking students in surveys and interviews about their sense of belonging, as well as analyzing their reflective writing samples for issues related to their sense of belonging. We found that the participants’ perceptions of sense of belonging are multilayered and context-dependent, relating to changes in time and space, classroom pedagogy, and other social, cultural, and linguistic factors. Implications for higher education are discussed.
Abstract:
Student participation in applied research as a form of experiential learning in community colleges is relatively new. Ontario Colleges today participate at different levels with different numbers of projects and faculty involved. A few colleges in Ontario are more established in doing applied research including having basic infrastructure for research and having defined in which disciplines they will conduct research. This study took place in a college with a more established applied research program with the study goal of hearing and listening from the students and their teacher/research leaders as to their perceived benefit from the research program. The findings showed that the students found the program very beneficial and that student learning in areas considered important for the workplace was occurring that would not have been possible in the regular classroom.
SUMMARY OF RECOMMENDATIONS
The OCUFA plan aims to dramatically enhance the quality and affordability of university education in Ontario by 2020 through increased government investment. We are also sensitive to the financial constraints the province is facing. As such, our recommendations reflect both the estimated minimum and maximum cost of our proposals. The Government of Ontario can choose to make a smaller investment as finances dictate. The important thing is that reinvestment begin now.
We recommend:
1. Increasing per-student public investment in universities to the national average by 2020.
Cost in 2013-14: A minimum of $120 million and a maximum of $280 million
2. Bringing the student-faculty ratio to the national average by 2020 by hiring new fulltime
faculty.
Cost in 2013-2014: A minimum of $16 million and a maximum of $110 million
3. Freezing tuition fees and consulting with students, faculty, and administrators on a new
funding framework that preserves quality while ensuring affordability.
Cost in 2013-14: $170 million.
4. Increasing research funding to universities by phasing out ineffective tax credits for private sector research and development.
Cost in 2013-14: No additional cost.
5. Respecting faculty collective bargaining rights.
6. Engaging faculty meaningfully in pension reform.
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
Over the past decade there has been an upsurge of interest in the quality of postsecondary education, with a particular focus on learning, engagement, and other student outcomes. Instructors, administrators, and other staff across the postsecondary sector have been investigating innovative approaches and services, while many institutions, faculties, departments, and professional associations have established teaching and learning centres or offices to help enhance student success. Governments and governmental organizations have provided support for new approaches and for research projects evaluating them.
This guide, co-sponsored by the McMaster Centre for Leadership in Learning (CLL) and the Higher Education Quality Council of Ontario (HEQCO), and endorsed by the Society for Teaching and Learning in Higher Education (STLHE) and the Canadian Association of College and University Student Services (CACUSS), is intended to assist researchers and evaluators of postsecondary educational outcomes. The intended audiences for this document include, but are by no means restricted to, the following:
• faculty members and educational developers investigating innovative approaches or technologies designed to enhance learning in postsecondary contexts;
• faculty members and administrators leading initiatives for students enrolled in programs or courses that are considered particularly challenging;
• anyone involved in professional development initiatives for faculty, graduate students, and others intended to enhance teaching and learning effectiveness;
• student service providers at postsecondary institutions; and
• students and student associations focusing on effective teaching, learning and student success.
ABSTRACT
Student parents are a significant minority population on Canadian post-secondary campuses. As research exploring this population has been extremely limited to date, this study provides the first national profile of Canadian student parents. We explore student parent enrolment patterns over time and examine current demographic characteristics. The data for this study were drawn from two datasets collected by Statistics Canada: the Labour Force Survey 1976–2005 and the Survey of Labour and Income Dynamics 2004 cross-sectional data file. Student parents accounted for between 11% and 16% of all post-secondary enrolment between 1976 and 2005. Further analyses explore participation patterns based on type of institution college/university), study status (full-/part-time study), age, gender, and marital status. Future research directions and implications for policies and institutional practice are discussed.
RÉSUMÉ
Les étudiants qui sont aussi parents représentent une population minoritaire d’importance sur les campus postsecondaires canadiens. Puisque la recherche portant sur cette population demeure extrêmement limitée à ce jour, l’étude qui suit constitue le premier profil national d’étudiants canadiens qui sont aussi parents. On y explore les modèles d’inscription de ces étudiants au fil du temps et on y examine les caractéristiques démographiques actuelles. Les données de cette étude ont été prises de deux sources recueillies par Statistique Canada : la « Labour Force Survey 1976-2005 » et la « Enquête sur la dynamique du travail et du revenu, 2004 [Canada]: Fichier d’enquête transversale principale ». Les étudiants qui sont aussi parents représentent entre 11 % et 16 % de toutes les inscriptions postsecondaires entre 1976 et 2005. D’autres
CJHE / RCES Volume 41, No. 3, 2011
analyses explorent les modèles de participation fondés sur le type d’institution (collège ou université), le statut de l’étudiant (temps plein ou temps partiel), l’âge, le sexe et le statut familial. On y discute également de la direction des recherches futures, ainsi que des implications pour la rédaction de politiques et pour la pratique en milieu institutionnel.
In the traditional college classroom today, faculty and students arrive with a certain set of expectations, shaped largely by past experiences. And although students may need the occa-sional (or perhaps frequent) reminder of what’s required of them, there’s usually something very familiar about the experience for both faculty and students alike.
In the online classroom, an entirely new set of variables enters the equation. It’s a little like trying to drive in a foreign country. You know how to drive, just like you know how to teach, but it sure is hard to get the hang of driving on the left side of the road, you’re not quite sure how far a kilometer is, and darn it if those road signs aren’t all in Japanese.
Ontario is Canada’s largest provincial destination for immigrants. Language barriers, lack of recognition for foreign credentials and lack of work experience in Canada prevent many from gaining employment in their field of expertise.
There is an urgent and growing need for occupation-specific language training in Ontario. Immigrants cannot apply their experience, skills and knowledge without the level of language proficiency needed in the workplace, but there are not enough language training opportunities to meet their needs. Shortages of skilled workers in many sectors will increasingly hinder Ontario’s economic prosperity.
The BYOD Concept
The days of students carrying heavy, book-laden backpacks to school are numbered. Increasingly, students at all
levels expect to access learning materials electronically. And students expect their school to support access to the Internet from anywhere, not just from a classroom computer with a wired connection.
The push for mobile learning options isn’t just coming from students. Teachers also have high opinions of the educational value of these new tools. A PBS/Grunwald survey in 2010 reported that teachers view laptops, tablets and e-readers as having the highest educational potential of all portable technologies. The movement to mobile and digital learning reflects the exploding popularity of mobile devices among consumers and the parallel growth in wireless network services to support them. Instead of using shared or enterprise-owned computers at work, school or libraries, people now want to use their personally owned mobile devices everywhere, a trend called bring your own device (BYOD). In fact, personal computing devices are fast becoming not just a luxury in both primary and secondary education, but a necessity. The growth of more virtual, personalized learning experiences throughout the educational spectrum is engaging students like never before.
The 2010 ”Speak Up” education survey conducted by Project Tomorrow found that more than one quarter of middle school students and 35 percent of high school students use online textbooks or other online curricula as a part of their regular schoolwork. The survey also found that nearly two-thirds of parents of school-aged children see digital curriculum as a key component of the ”ideal” classroom for their student, making access to computing devices a key part of today’s educational experience.²
This trend is creating tremendous new demand levels for wireless networks. For example, one market research firm reports growth of 40 percent in enterprise wireless local area networks (WLANs) in Q2 2011, attributable in part to the BYOD trend and the tremendous popularity of the Apple iPad.³ Gartner Research supports this notion as well, concluding that without adequate preparation, iPads alone will increase enterprise WiFi demands by 300 percent.⁴
Support for this trend is also found in Center for Digital Education (CDE) interviews with K-12 district IT staff. A notable 27 percent of school IT decision-makers interviewed expressed an intent to pursue a BYOD policy.
While the percentage of higher education students with their own devices is significantly higher than at the elementary level, CDE’s Digital Community Colleges Survey reveals that they grapple with many similar technology challenges. A full 92 percent of community colleges report expanded distance learning offerings for online, hybrid and Web-assisted courses, providing ample support for their No. 1 identified technology priority: mobility. The growing popularity of mobile devices isn’t the only factor straining the capacity of educational networks today. Video, interactive learning games and other media-rich content are being
watched, created and shared by students and teachers to foster learning of both skills and subject matter. These media not only gobble up bandwidth — they may also require priority over other network traffic in order to deliver acceptable performance for in-class use. From a technical perspective, the challenge for educational institutions is supporting BYOD for students and staff with secure wireless and remote access network capabilities. Yet the movement to mobile learning isn’t just about supporting new technologies. It’s also about shifting to new ways of teaching and learning.