But more technology doesn’t always mean better results. Within K-12 learning environments, the digital divide means that students in low-income and rural households have less access to reliable internet and fewer connected deviceson which to complete the online portions of their homework. And while Pearson’s initiative applies only to textbooks in higher ed, the shift to digital has implications at the collegiate level as well.
Just as traditional software has a thriving open source community, textbooks have Open Educational Resources, complete textbooks that typically come free of charge digitally, or for a small fee—enough to cover the printing—in hard copy. And while it’s not an entirely new concept, OER has gained momentum in recent years, particularly as support has picked up at an institutional level, rather than on a course by course basis. According to a 2018 Babson College survey, faculty awareness of OER jumped from 34 percent to 46 percent since 2015.
One of OER’s leading proponents is OpenStax, a nonprofit based out of Rice University that offers a few dozen free textbooks, covering everything from AP Biology to Principles of Accounting. In the 2019–2020 academic year, 2.7 million students across 6,600 institutions used an OpenStax product instead of a for-profit equivalent.
The knock against OER is that, well, you get what you pay for. “One faculty member told me only half-jokingly, that OER is like a puppy that’s free. You get the free puppy, but then you have to do all the work,” says Cengage’s Hansen, who argues that traditional publishers provide critical supporting materials, like assessment questions, that OER often lacks, and can push more regular updates.
By virtue of being free, OER materials also heavily skew toward digital, with hardcover as a secondary option. (Or you can download the PDF and print it out yourself.) The same caveats about efficacy apply. But at least OER doesn’t lock you into one digital platform, the way the major publishers do. OpenStax alone counts around 50 ecosystem partners to provide homework and testing support.
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Or you could always split the difference.
That’s the territory Cengage wants to stake out. Late last summer, the educational publishing behemoth—it announced a planned merger with McGraw Hill in May; the combined company would surpass all but Pearson in market capitalization—rolled out Cengage Unlimited, a “Netflix for Textbooks” model that rolls all textbook rentals and digital platform access into a single rate: $120 for a semester, $180 for a full year, or $240 for two years. Almost a year in, the US-only program has a million subscribers.
Learning innovation, as conceptualized as an interdisciplinary field, attempts to claim a space at the intersection of design, technology, learning science and analytics — all in the unique context of higher education.
A professional community of practice differs from that of an interdisciplinary academic network. Professional communities of practice are connected through shared professional goals. Where best practices and shared experiences form the basis of membership in professional associations, academic networks are situated within marketplaces for ideas. Academic networks run on the generation of new ideas and scholarly exchange. These two network models are different.
“Learning Experience Design™ is a synthesis of Instructional Design, educational pedagogy, neuroscience, social sciences, design thinking, and User Experience Design.”
They lurk behind the scenes of a rapidly growing number of courses at colleges and universities, yet instructional designers are an elusive bunch. Their field is exploding—The Chronicle of Higher Education ranked it as one of the top 10 trends in higher ed this year—as more institutions pursue online and blended-learning offerings. But there hasn’t been much consensus on the role of instructional designers across institutions.
estimates at least 13,000 professionals are in the field at higher-ed institutions. Findings provide a glimpse of who instructional designers are:
The average age of IDs is 45 years old
67 percent are female
87 percent have master’s degrees
More than half have teaching experience
IDs reported that their duties vary from day to day, but that their work generally fits into four buckets: design (e.g., creating new or redeveloping old courses); management (e.g., overseeing projects from cradle to grave); training (e.g., helping faculty use new technologies); and support (e.g., providing timely help for LMS questions from faculty).
Mental health of college students and Lee’s new book: “Delivering College Mental Health”
Join Bryan Alexander and Lee Keyes, executive director, Counseling Center at the University of Alabama, and author of Delivering Effective College Mental Health Services for an engaging live discussion on the future of mental health in higher education.
Bryan plans to ask Lee about unfolding trends in college student mental health and his thoughts around the rise in anxiety and stress. We will explore how universities are changing their approaches to student mental health and what roles technology may play in harming or helping psychological well-being.
What questions or thoughts do you have? Join and take part in the discussion!
Lee about “Mobile First” – like First Aid. Often by text and email. after Bryan asked how Adjuncts can deal with such situations, if
Counseling Centers need those additions.
Mobile First apps.
most crisis situations are a form of panic. if addressed quickly, one can prevent growing and turning into a major episode.
mindfulness can be different for the different type of issues of students.
libraries as the campus community center.
can be done on
conflation of immaturity and irresponsibility with stress and panic. Latter might be expressed in a way it is immature, but one has to meet them where they are, not judgement and denial, which will make it worse. Tough love will not help. Upholding classroom expectations and rules, but can be supportive at the same time. When pressed by time
Daniel Stanford De Paul. Cohort fundamentals of good teaching. instead of “fail safely”
Launched in 2000 as a project of the OECD, the PISA is administered every three years to nationally representative samples of students in each OECD country and in a growing number of partner countries and subnational units such as Shanghai. The 74 education systems that participated in the latest PISA study, conducted during 2009, represented more than 85% of the global economy and included virtually all of the United States’ major trading partners, making it a particularly useful source of information on U.S. students’ relative standing.
The United States’ historical advantage in terms of educational attainment has long since eroded, however. U.S. high-school graduation rates peaked in 1970 at roughly 80% and have declined slightly since, a trend often masked in official statistics by the growing number of students receiving alternative credentials, such as a General Educational Development (GED) certificate.
in many respects the U.S. higher education system remains the envy of the world. Despite recent concerns about rapidly increasing costs, declining degree completion rates, and the quality of instruction available to undergraduate students, U.S. universities continue to dominate world rankings of research productivity. The 2011 Academic Rankings of World Universities, an annual publication of the Shanghai Jiao Tong University, placed eight U.S. universities within the global top 10, 17 within the top 20, and 151 within the top 500. A 2008 RAND study commissioned by the U.S. Department of Defense found that 63% of the world’s most highly cited academic papers in science and technology were produced by researchers based in the United States. Moreover, the United States remains the top destination for graduate students studying outside of their own countries, attracting 19% of all foreign students in 2008. This rate is nine percentage points higher than the rate of the closest U.S. competitor, the United Kingdom.
Abel, H. (1959). Polytechnische Bildung und Berufserziehung in internationaler Sicht. International Review of Education / Internationale Zeitschrift für Erziehungswissenschaft / Revue Internationale de l’Education, 5(4), 369–382. https://doi.org/10.1007/BF01417254
Peterson, P., Woessmann, L., Hanushek, E., & Lastra-Anadon, C. (2011). Are U.S students ready to compete? The latest on each state’s international standing.(feature). Education Next, 11(4), 50–59.
At one time it was left to teachers and administrators to decide exactiy what level of math proficiency should be expected of students. But, increasingly, states, and the federal government itself, have established proficiency levels that students are asked to reach. A national proficiency standard was set by the board that governs the National Assessment of Educational Progress (NAEP), which is administered by the U.S. Department of Education and generally known as the nation’s report card.
a crosswalk between NAEP and PISA. The crosswalk is made possible by the fact that representative (but separate) samples of the high-school graduating Class of 2011 took the NAEP and PISA math and reading examinations. NAEP tests were taken in 2007 when the Class of 2011 was in 8th grade and PISA tested 15-year-olds in 2009, most of whom are members of the Class of 2011. Given that NAEP identified 32 percent of U.S. 8th-grade students as proficient in math, the PISA equivalent is estimated by calculating the minimum score reached by the top-performing 32 percent of U.S. students participating in the 2009 PISA test. (See methodological sidebar for further details.)
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CAO perspectives: The role of general education objectives in career and technical programs in the United States and Europe
by Schanker, Jennifer Ballard, Ed.D., National-Louis University, 2011, 162; 3459884
2019 Realities360 Conference and Expo
San Jose, USA
25 – 27 June 2019
EXPLORE AR AND VR IN YOUR WORK
Augmented and virtual reality technologies are the latest buzz in the training and education sector. 2019 Realities360 Conference and Expo is the event for you to explore this tech, and get started building and implementing your AR/VR strategy. You won’t want to miss it.
The 2019 Realities360 program delivers over 50 sessions covering the critical topics that will help you develop new skills, strategies, and expertise within the AR/VR world. Plus, in several sessions you’ll build the knowledge and skills directly with hands-on learning experiences.
Here are some essential sessions you’ll need to attend:
– Better Than the Real Thing: VR Learning Surpassing Real-world Training
– Transforming Learning with Digital Reality
– Designing Instructionally-Effective Virtual Experiences
– Lessons from a Year of Cost-Effective Immersive Strategies in Higher Ed
– Exploring the Efficacy of Virtual Reality for Training Centers of the Future
Device ownership alone doesn’t make people digitally literate; rather, digital literacy is about how and why they use devices to achieve particular goals and outcomes.
Definitions of digital literacy can include the ability to use and access digital devices, but studies from the past decade tend to deepen this definition. A commonly cited definition from Colin Lankshear and Michele Knobel asserts that digital literacy is “shorthand for the myriad social practices and conceptions of engaging in meaning making mediated by texts that are produced, received, distributed, exchanged etc., via digital codification.”
More recently, scholars including Jennifer Sparrow have suggested even adopting the term digital fluency instead of literacy in order to capture how students may need the “ability to leverage technology to create new knowledge, new challenges, and new problems and to complement these with critical thinking, complex problem solving, and social intelligence to solve the new challenges.”
instructional designers are key players who could take a more visible role in higher education to support educators in bringing explicit instruction on digital literacy engagement into their classes. University staff in instructional design and educational/faculty development spaces consult with instructors, lead workshops, and develop support documentation on a regular basis. People in these roles could be more empowered to have conversations with the instructors they support around building in particular lessons
Douglas Belshaw can be a source of inspiration for understanding how his essential elements of digital literacy may contribute to the development of students’ digital fluencies. In particular, some practices may include:
Integrating the use of different applications and platforms so that students obtain practice in navigating these spaces, learning how to locate relevant and reliable information. For example, guiding students to specific databases that provide articles, books, etc., for your discipline may improve information and digital literacy. This is critical because most students default to Google search and Wikipedia, which may not be where you want them to explore topics.
Developing student’s ability to curate content and how to follow academic integrity guidelines for citations and references.
Establishing the norms and purpose for effective communication in a digital academic space.
Research from the Center for Higher Education CIO Studies (CHECS) has been transferred to EDUCAUSE, including a report on the role of the Chief Academic Technology Officer and its differences and similarities to other higher ed IT tech executives.
The Center for Higher Education CIO Studies (CHECS) was a nonprofit organization founded by Dr. Wayne A. Brown, dedicated to the education and development of technology leaders in higher education. CHECS produced the CIO Study, the Technology Leadership (TL) Study, the Chief Information Security Officer (CISO) Study and the Higher Education Chief Academic Technology Officer Study.
The Chief Information Officer (CIO) study provides information about higher education CIOs’ attributes, education, experience and effectiveness. The CIO study was conducted from 2003 to 2018. Find all the CIO reports here.
The Technology Leadership (TL) study surveyed those in the next organizational layer down from the CIO. The TL study examines the demographics of the TL, where they have worked, and the activities they are undertaking to prepare themselves to become CIOs. The TL study was study was conducted from 2009 to 2018. Find all the TL reports here.
The Chief Information Security Officer (CISO)study examines the demographics of the higher education CISO, the career route they have taken to their role, and the activities and attributes needed for a CISO according to the CISO and the CIO. The CISO study was study was conducted from 2014 to 2017. Find all the CISO reports here.
Many educational institutions maintain their own data centers. “We need to minimize the amount of work we do to keep systems up and running, and spend more energy innovating on things that matter to people.”
what’s the difference between machine learning (ML) and artificial intelligence (AI)?
Jeff Olson: That’s actually the setup for a joke going around the data science community. The punchline? If it’s written in Python or R, it’s machine learning. If it’s written in PowerPoint, it’s AI.
machine learning is in practical use in a lot of places, whereas AI conjures up all these fantastic thoughts in people.
What is serverless architecture, and why are you excited about it?
Instead of having a machine running all the time, you just run the code necessary to do what you want—there is no persisting server or container. There is only this fleeting moment when the code is being executed. It’s called Function as a Service, and AWS pioneered it with a service called AWS Lambda. It allows an organization to scale up without planning ahead.
How do you think machine learning and Function as a Service will impact higher education in general?
The radical nature of this innovation will make a lot of systems that were built five or 10 years ago obsolete. Once an organization comes to grips with Function as a Service (FaaS) as a concept, it’s a pretty simple step for that institution to stop doing its own plumbing. FaaS will help accelerate innovation in education because of the API economy.
If the campus IT department will no longer be taking care of the plumbing, what will its role be?
I think IT will be curating the inter-operation of services, some developed locally but most purchased from the API economy.
As a result, you write far less code and have fewer security risks, so you can innovate faster. A succinct machine-learning algorithm with fewer than 500 lines of code can now replace an application that might have required millions of lines of code. Second, it scales. If you happen to have a gigantic spike in traffic, it deals with it effortlessly. If you have very little traffic, you incur a negligible cost.
Part 1: March 13, 2019 | 1:00–2:30 p.m. ET
Part 2: March 20, 2019 | 1:00–2:30 p.m. ET
Part 3: March 27, 2019 | 1:00–2:30 p.m. ET
Overview
A picture is worth a thousand words, but developing a data picture worth a thousand words involves careful thought and planning. IT leaders are often in need of sharing their story and vision for the future with campus partners and campus leadership. Delivering this message in a compelling way takes a significant amount of thought and planning. This session will take participants through the process of constructing their story, how to (and how not to) incorporate data and anecdotes effectively, how to design clear data visualizations, and how to present their story with confidence.
Learning Objectives
During this course, participants will:
Develop a story that elicits a specific outcome
Identify and effectively use data elements to support a compelling story
Learn how to tell your story in a clear and effective way
NOTE: Participants will be asked to complete assignments in between the course segments that support the learning objectives stated below and will receive feedback and constructive critique from course facilitators on how to improve and shape their work.
Facilitator
Leah Lang, Director of Analytics Services, EDUCAUSE
Leah Lang leads EDUCAUSE Analytics Services, a suite of data services, products, and tools that can be used to inform decision-making about IT in higher education. The foundational service in this suite is the EDUCAUSE Core Data Services (CDS), higher education’s comprehensive IT benchmarking data service.
