What are digital textbooks?
Today’s K-12 students have grown up with technology. Most wouldn’t dream of looking up information in a hardbound dictionary or encyclopedia; they turn to Internet search engines when they have questions, perhaps using a smartphone or tablet. News comes not on newsprint, but from Google News; writing to friends means Facebook, not a letter (what’s that?); phone books and watches are artifacts from another age. Yet such digital natives are often expected to attend schools equipped with aging, heavy, hardbound textbooks — some a decade old and outdated (history texts that remind them that the U.S. has never elected an African-American president, for example). They then are asked to tote five or six or more such books from school to home each day.
Enter the digital textbook, defined as anything stored on a digital medium that can be transmitted through various
digital devices over computer networks, including the Internet. Students can access digital books on e-readers, tablets and smartphones; and on netbooks, laptops or desktop computers. Because the books can be read on mobile devices, the materialcan travel with students just as a physical textbook can, but in a much lighter and more compact way (no more overstuffed backpacks). Textbooks displayed on digital devices can take advantage of Web 2.0 tools: multi-media features (video and audio clips); interactivity (quizzes, games); the ability to search and annotate text; text-to-speech functionality; and customizable (and current) content. In the classroom, teachers can project digital content from these books onto interactive whiteboards and engage the class in viewing material together. Notes taken on the interactive whiteboard can be stored and saved to each student’s laptop, tablet, netbook or smartphone, while students can use their digital devices to submit answers to quizzes or problems. All of these features make digital textbooks more relevant to today’s students, who then become more engaged in learning.
For several decades, policymakers have embraced the goal of preparing students for college and careers, particularly for careers in the area of mathematics and science. The recent emphasis on these STEM (science, technology, engineering,
and mathematics) subjects is due to the growth of STEM occupations and the perceived shortage of qualified workers to fill these positions. There is a concern that many students do not currently have the level of STEM capabilities necessary for high-skill STEM professions such as engineering or even for low-skill STEM positions in fields such as manufacturing.
As they begin taking classes, most incoming adult learners express a strong desire to complete a degree, but many also harbor concerns and attitudes that reduce their motivation and put them at risk for attrition. This report explores a wide range of these noncognitive, motivational attributes that influence completion. The study is based on a national sample of 5,000 first-year adult learners who filled out a 74-item, college completion risk survey in 2014 or 2015 at 50 colleges and universities across the United States.
Drawing from the National Survey on Drug Use and Health (NSDUH; N 611,880), a nationally representative survey of U.S. adolescents and adults, we assess age, period, and cohort trends in mood disorders and suicide-related outcomes since the mid-2000s. Rates of major depressive episode in the last year increased 52% 2005–2017 (from 8.7% to 13.2%) among adolescents aged 12 to 17 and 63% 2009–2017 (from 8.1% to 13.2%) among young adults 18–25. Serious psychological distress in the last month and suicide-related outcomes (suicidal ideation, plans, attempts, and deaths by suicide) in the last year also increased among young adults 18–25 from 2008–2017 (with a 71% increase in serious psychological distress), with less consistent and weaker increases among adults ages 26 and over. Hierarchical linear modeling analyses separating the effects of age, period, and birth cohort suggest the trends among adults are primarily due to cohort, with a steady rise in mood disorder and suicide-related outcomes between cohorts born from the early 1980s (Millennials) to the late 1990s (iGen). Cultural
trends contributing to an increase in mood disorders and suicidal thoughts and behaviors since the mid-2000s, including the rise of electronic communication and digital media and declines in sleep duration, may have had a larger impact on younger people, creating a cohort effect.
Every developed country is racing to keep up with profound and fundamental changes in the 21st century. The new knowledge economy is creating unprecedented demands for higher levels of expertise and skills, while, at the same time, changing demographics will significantly reduce the numbers of qualified people available in the economy.
The cumulative impact presents great opportunities and great challenges to Ontario.
The retirement patterns of senior faculty are an issue of ongoing interest in higher education, particularly since the 2008-09 recession. If a significant share of tenured faculty works past “normal” retirement age, challenges can arise for institutional leadership focused on keeping the faculty workforce dynamic for purposes of teaching, research and service. Buyout packages and phased retirement programs have been common responses to encourage faculty retirement, but colleges and universities are increasingly interested in alternative and complementary strategies to manage faculty retirement patterns.
Tenured faculty age 50 or older can divided into three groups—35% expect to retire by normal retirement age; 16% would prefer to retire by normal retirement age, but expect to work longer (i.e., they are “reluctantly reluctant” to retire); and 49% would like to and expect to work past normal retirement age (i.e., they are “reluctant by choice”). The key drivers differ between those reluctantly reluctant and those reluctant by choice.
This study investigates the relationship between approaches to studying and course completion in two online preparatory university courses in mathematics and computer programming. The students participating in the two courses are alike in age, gender, and approaches to learning. Four hundred and ninety-three students participating in these courses answered the short
version of the Approaches and Study Skills Inventory for Students (ASSIST). Results show that students demonstrating a deep approach to learning in either course are more likely to complete. In the mathematics course, a combination of deep and strategic approaches correlates positively with course completion. In the programming course, students who demonstrate a surface approach are less likely to complete. These results are in line with the intentions of the course designers, but they also suggest ways to improve these courses. Furthermore, the study demonstrates that ASSIST can be used to evaluate course design.
Recent empirical work has demonstrated the importance both of educational peer effects and of various factors that affect college choices. We connect these literatures by highlighting a previously unstudied determinant of college choice, namely the college choice made by one’s older sibling. Data on 1.6 million sibling pairs of SAT-takers reveals that younger and older sib- lings’ choices are very closely related. One-fifth of younger siblings enroll in the same college as their older siblings. Compared to their high school classmates of similar academic skill and with observably similar families, younger siblings are about 15–20 percentage points more likely to enroll in 4-year colleges or highly competitive colleges if their older siblings do so first. These
findings vary little by family characteristics. Younger siblings are more likely to follow the college choices of their older siblings the more they resemble each other in terms of academic skill, age and gender. We discuss channels through which older siblings’ college choices might causally influence their younger siblings, noting that the facts documented here should prompt
further research on the sharing of information and shaping of educational preferences within families.
On the surface America’s public commitment to provide access to any individual who seeks entry to postsecondary education seems to be working. Our higher education system enjoys one of the highest participation rates in the world. More than 16 million students currently enroll in public and private two and four-year colleges and universities in the United States. In the past 20 years, enrollments have grown over 25 percent; the proportion of high school graduates entering college immediately after high school has increased from 49 percent in 1980 to over 68 percent today. More importantly, the gap in access between high and low-income youth has shrunk as greater numbers of economically disadvantaged students have enrolled in college; the number entering college immediately after high school having increased by over 60 percent since 1970. By any count, access to higher education for low-income students is greater today than ever.
The scientific study of human learning and memory is now more than 125 years old. Psychologists have conducted thou- sands of experiments, correlational analyses, and field studies during this time, in addition to other research conducted by those from
neighboring fields. A huge knowledge base has been carefully built up over the decades.
Given this backdrop, we may ask ourselves: What great changes in education have resulted from this huge research base? How has the scientific study of learning and memory changed practices in education from those of, say, a century ago? Have we succeeded in building a translational educational science to rival medical science (in which biological knowledge is translated into medical practice) or types of engineering (in which, e.g., basic knowledge in chemistry is translated into products through chemical engineering)?
In an effort to measure the effectiveness of faculty development courses promoting student engagement, the faculty
development unit of Penn State’s Online Campus conducted a pilot study within a large online Bachelor of Science in Business (BSB) program. In all, 2,296 students were surveyed in the spring and summer semesters of 2014 in order to seek their perspectives on (1) the extent of their engagement in the courses and (2) the degree to which their instructors promoted their
engagement. The survey comprised three sub-scales: the first and third sub-scales addressed instructional design aspects of the course, and the second sub-scale addressed attitudes and behaviors whereby the instructors promoted student engagement. The results showed a significant difference on the second sub-scale (sig = 0.003) at the .05 level, indicating that students rated instructors with professional development higher on instructor behaviors that engaged them in their
courses than those instructors who received no professional development. There were no significant differences found for the first and third sub-scales indicating that the instructional design aspects of the courses under investigation were not influenced by instructors’ professional development. Qualitative data showed that three quarters of the students who had instructors whose background included professional development geared to encouraging student engagement felt that their courses had engaged them. Future research will focus on increasing the response rate and exploring in more depth both the instructional design and qualitative aspects of student engagement.
Teach on Purpose! Responsive Teaching for Student Success, written by Leslie David Burns and Stergios G. Botzakis, is an impassioned argument for the importance of using responsive teaching within today's and tomorrow’s K–12 schools. The authors and their guest teacher-authors provide a straightforward rationale that explains why teaching purposefully and responsively is not just an option, but fundamental to teaching well. They collectively do this in a way that is relevant, practical, timely, and sometimes even humorous.
Eighteen months ago we set off on a path that would lead Ferris State University collectively to a new university-wide strategic plan. Just a bit of background: The last strategic plan was put in place in 2008 and served the university well. Over the past five years we saw record breaking enrollment, big increases in retention and graduation rates, exceptionally high infield job placement rates, and a strong financial position for the university. We also saw the creation of fifty-seven new programs, certificates, majors and degrees, while we eliminated or redesigned thirty-two programs. By almost any measure, the 2008 strategic plan was instrumental in providing the university community with a framework for moving forward in some very exciting directions.
The procedures commonly employed for quality assurance in higher education are designed as if the endeavour were a technical process, whereas it may be more useful to view it as a political process. For example, quality assurance requires making choices among competing conceptions of quality, and in so doing privileges some interests over others. Moreover, some stakeholders tend to be given a greater voice than others in the design and implementation of quality assurance. The author concludes that rather than denying the political nature of quality assurance, it would be better to accept Morley’s claim that quality assurance is “a socially constructed domain of power”, and design procedures for it in a way that is appropriate for a political process. It is suggested that employing the “responsive model” of evaluation could make quality assurance more effective in improving educational quality. In the responsive model, evaluation is deemed to be a collaborative process that starts with the claims, concerns and issues put forth by all stakeholders.
This report focuses on recent Ontario education policies. It is a policy audit of the present state of the public school system in Ontario and a proposal for provincial education policies that will best serve the students of Ontario. Following the most tumultuous decade in Ontario educational history, and seven years after the release of the report of the Royal Commission on Learning,1 we believe it is necessary to examine where Ontario education is now and where the province should be headed in the future.
• Ontario has the world’s third-highest post-secondary attainment rate for young adults (ages 25 to 34). It produces more degrees per capita than the U.S. and most other countries and up to three times as many career-oriented diplomas and trades certificates. Nonetheless, those with disabilities and aboriginal people have a lower share of degrees.
• While 28 per cent of Americans who attend post-secondary institutions eventually drop out without a credential, the Canadian rate is much lower (seven per cent).
• In 2012, Ontario certified 57 per cent as many trades persons as a share of employment as the rest of Canada.
• Canada’s essential skills ratings for young adults are better than the advanced country average, but behind the Nordic countries, Japan and Korea. However, only 15 per cent at the lowest literacy level are engaged in job-related adult education each year.
Matching skills to jobs
• Ontario’s trades and diploma graduates play a key role in exports (manufacturing, resources and tourism), energy, infrastructure, real estate and health care. Typically, smaller communities rely more heavily on diploma and trades certificate holders – as business owners and employees.
• Ontario’s ability to match skills to job opportunities is above the advanced country average. But it is behind three provinces and 10 countries, notably Switzerland and Germany, which are highly regarded for their ability to match educational programs with employer requirements.
Education is overloaded with programs and data. The growth of digital power has aided and abetted the spread of accountability-driven data—adequate yearly progress, test results for every child in every grade, common core standards, formative and summative assessments galore. Each data set shows a full continuum from below standard to exceed standards. Educators need to be able to put FACES on the data at all points on the continuum and, to know what to do to help individual children behind the statistical mask.
The purpose of this paper is to examine the factors affecting the success of First Nations learners in education in Canada and the types of initiatives required to support the successful transition of First Nations learners to post-secondary. A description of First Nations peoples and a brief overview of the historical context of education for First Nations in Canada will assist the
reader in understanding the reality of First Nations communities and schools, and the impacts on First Nation learners. It is these experiences that prompt the design, development and delivery of specialized programs and services required to assist First Nations students with their transitions to post-
secondary education.
The characteristics of appropriately worded behavioral objectives and the advantages for curriculum design and implementation of a clear specification of objectives in advance of any teaching or testing have been articulated by a number of people, for example, Mager, Popham, and Sullivan. Essentially, a behavioral objective is a statement or description of intent. It is not, however, a statement of what a teacher intends to do, but rather, a statement of what the teacher intends that the student will be able to do or produce at the conclusion of some period of instruction.
A properly stated behavioral objective must describe without ambiguity the nature of learner behavior or product to be measured. Two major advantages are claimed for behavioral objectives. First, they provide clear end points toward which all can strive; and second, because they focus on expected terminal performance of students (what students are expected to be able to do), they suggest methods of assessing the extent to which objectives have been realized. The apparent logic of such an approach is obvious to all; to argue against behavioral objectives would seem to be to argue for ambiguity, if not irrationality. Nevertheless, a number of people have drawn attention to some of the difficulties and possible hazards of the approach, for example, Atkin,5 Eisner,6 and this author. It is not my intention here to go over old ground; however, I do wish to draw attention to some very serious dangers in evaluating programs from the simple instructional model implied in the behavioral approach.
New research at the University of Warwick demonstrates two shortcomings with the current benchmarking of internationalisation: they are based purely on structural measures and they use a simple bi-polar distinction between home and international students. There are several dangers in relying on these measures: Structural internationalisation ≠ Student satisfaction: Latest research shows that in the UK, the lower the proportion of UK students, the less satisfied students of all backgrounds are. This does not mean that structural internationalisation should be avoided; on the contrary, students appreciate the value of an 'internationalisation' experience, so what we need is an agenda for integration.