a tech catalog for students to explore and choose from, partially based on Georgetown’s enterprise suite, including a learning management system (Canvas), blogging (WordPress or other), student-run web domains, web annotation (Hypothesis) https://web.hypothes.is/, collaborative writing (Google Suite), discussion boards (Discourse), and videoconferencing (Zoom).
Before there were podcasts, there was pirate radio, rogue broadcasters flinging unusual sounds over borders and adding new music to cultures. And before that there was the “theater of the mind,” harnessing radio’s deep power to inspire listeners’ imaginations.
Then we advanced to podcasting’s second wave—the one we’re enjoying now—the one sparked by Serial’s massive success in 2014. When you consider audiobooks in the mix, it’s clear how varied and mainstream portable digital audio is today.
Digital video has taken the world by storm. Netflix is busy changing television and movies. YouTube may be humanity’s largest collaborative cultural project, aggregating an astonishing amount of user-generated content. The Google-owned service is widely used that it may already soak up more than a third of all mobile traffic.
Unsurprisingly, we increasingly learn from digital video. The realm of informal learning is well represented on YouTube—from DIY instruction to guerrilla recordings of public speakers. Traditional colleges now rely on digital video, too, as campuses have established official channels and faculty regularly turn to YouTube for content. And new kinds of educational institutions have emerged, like the nonprofit Khan Academy,
We also explored the rise of teaching via live video. More colleges are using it for online learning, since it can make students and instructors more present to each other than most other media. We also saw videoconferencing’s usefulness in connecting students and faculty when separated by travel, illness or scheduling challenges.
Top 10 IT Issues, 2017: Foundations for Student Success
Susan Grajek and the 2016–2017 EDUCAUSE IT Issues Panel Tuesday, January 17, 2017http://er.educause.edu/articles/2017/1/top-10-it-issues-2017-foundations-for-student-successThe 2017 EDUCAUSE Top 10 IT Issues are all about student success
Developing a holistic, agile approach to reduce institutional exposure to information security threats
That program should encompass people, process, and technologies:
Develop processes to identify and protect the most sensitive data
Implement technologies to encrypt data and find and block advanced threats coming from outside the network via from any type of device
Who Outside the IT Department Should Care Most about This Issue?
End-users, to understand how to avoid exposing their credentials
Unit heads, to protect institutional data
Senior leaders, to hold people accountable
Institutional leadership, to endorse, fund, and advocate for good information security
Issue #2: Student Success and Completion
Effectively applying data and predictive analytics to improve student success and completion
Predictive analytics allows us to track trends, discover gaps and inefficiencies, and displace “best guess” scenarios based on implicitly developed stories about students.
Issue #3: Data-Informed Decision Making
Ensuring that business intelligence, reporting, and analytics are relevant, convenient, and used by administrators, faculty, and students
Higher education information systems generate vast amounts of data daily (including the classroom/LMS). This potentially rich source of information is underused. Even though most institutions have created reports, dashboards, and other distillations of data, these are not necessarily useful or used to inform strategic objectives such as student success or institutional efficiency.
Issue #4: Strategic Leadership
Repositioning or reinforcing the role of IT leadership as a strategic partner with institutional leadership
CIOs have two challenges in this regard. The first is getting to the table. Contemporary requirements for IT leaders position them well for strategic leadership.18 Those requirements include expertise in management and business practices, project portfolio management, negotiation, and change leadership. However, business-savvy CIOs can alienate some academics, particularly those opposed to administrators as leaders. Worse, not all CIOs are well-equipped for a position at the executive table.
Issue #5: Sustainable Funding
Developing IT funding models that sustain core services, support innovation, and facilitate growth
Two complications have deepened the IT funding challenge in recent years. The first is that information technology is now incontrovertibly core to the mission and function of colleges and universities. The second complication is that at most institutions, digital investments and technology refreshes have been funded with capital expenditures. Yet IT services and infrastructure are moving outside the institution, generally to the cloud, and cloud funding depends on ongoing expenditures rather than one-time investments.
Issue #6: Data Management and Governance
Improving the management of institutional data through data standards, integration, protection, and governance
Data management and governance is not an IT issue. It requires a broad, top-down approach because all departments need to buy in and agree. All stakeholders (data owners as well as IR, IT, and institutional leaders) must collaboratively develop a common set of data definitions and a common understanding of what data is needed, in what format, and for what purposes. This coordination, or governance, will enable constituents to communicate with confidence about the data (e.g., “the single version of truth”) and the standards (e.g., APLU, IPEDS, CDS) under which it is collected.
Institutions often choose to approach data management from three perspectives: (1) accuracy, (2) usability, and (3) privacy. The IT organization has a role to play in creating and maintaining data warehouses, integrating systems to facilitate data exchange, and maintaining standards for data privacy and security.
Issue #7: Higher Education Affordability
Prioritizing IT investments and resources in the context of increasing demand and limited resources
Uncoordinated, redundant expenditures supplant other needed investments, such as consistent classroom technology or dedicated information security staff. Planning needs to occur at the institutional or departmental level, but it also needs a place to coalesce and be assessed regionally, nationally, and in some cases, globally, because there isn’t enough money to do everything that institutional leaders, faculty, and others want or even need to do. Public systems are making some headway in sharing services, but for the most part, local optimization supersedes collaboration and compromise.
Issue #8: Sustainable Staffing
Ensuring adequate staffing capacity and staff retention as budgets shrink or remain flat and as external competition grows
As institutions become more dependent on their IT organizations, IT organizations are more dependent on the expertise and quality of their workforce. New hires need to be great hires, and great staff need to want to stay. Each new hire can change the culture and effectiveness of the IT organizations
Issue #9: Next-Gen Enterprise IT
Developing and implementing enterprise IT applications, architectures, and sourcing strategies to achieve agility, scalability, cost-effectiveness, and effective analytics
Buildings should outlive alumni; technology shouldn’t. IT leaders are examining core enterprise applications, including ERPs (traditionally, suites of financial, HR, and student information systems) and LMSs, for their ability to meet current and future needs.
Issue #10: Digital Transformation of Learning
Collaborating with faculty and academic leadership to apply technology to teaching and learning in ways that reflect innovations in pedagogy and the institutional mission
According to Michael Feldstein and Phil Hill, personalized learning applies technology to three processes: content (moving content delivery out of the classroom and allowing students to set their pace of learning); tutoring (allowing interactive feedback to both students and faculty); and contact time (enabling faculty to observe students’ work and coach them more).
more on IT in this IMS blog http://blog.stcloudstate.edu/ims?s=information+technology
At the invitation of Adobe Education, I attended the Educause Annual Conference this year and did a quick series of interviews about the education work that Adobe is doing. A huge highlight for me was reconnecting with futurist Bryan Alexander, whom I’d interviewed in 2012 as a part of my Future of Education series, and whose work and voice I’ve continued to really appreciate.
Very short video of Bryan Alexander, senior fellow at the National Institute for Technology in Liberal Education, discussing the issues and opportunities facing mobile technology, badges, flipped classrooms, and learning analytics:
These scenarios omit two critical components of the campus: the many men and women who can’t work from home and extracurricular activities.
Layoffs and furloughs must be the last option; pay cuts/freezes and other cost-saving opportunities must be exhausted before even one person is laid off this fall.
Extracurricular activities must be undertaken with an abundance of caution. Only those activities that are essential and can’t take place virtually must be held. Social distancing must be practiced, no matter the health conditions that exist at the particular time.
How the Coronavirus Will Change Faculty Life Forever
As the pandemic wears on, expect heavier teaching loads, more service requirements, and more time online
It looks like @googledocs can’t handle the demand people are putting on the Colleges and universities closed for COVID-19 spreadsheet.
It’s defaulted to view only and I just received 300+ requests to edit. pic.twitter.com/OXKATcL5ca
Michael Porter, a professor at the Harvard Business School. The scholar who in some respects became his successor, Clayton M. Christensen, entered a doctoral program at the Harvard Business School in 1989 and joined the faculty in 1992. Christensen was interested in why companies fail. In his 1997 book, “The Innovator’s Dilemma,” he argued that, very often, it isn’t because their executives made bad decisions but because they made good good decisions, the same kind of good decisions that had made those companies successful for decades. (The “innovator’s dilemma” is that “doing the right thing is the wrong thing.”)
Christensen called “disruptive innovation”: the selling of a cheaper, poorer-quality product that initially reaches less profitable customers but eventually takes over and devours an entire industry.
Christensen has co-written books urging disruptive innovation in higher education (“The Innovative University”), public schools (“Disrupting Class”), and health care (“The Innovator’s Prescription”).
Startups are ruthless and leaderless and unrestrained, and they seem so tiny and powerless, until you realize, but only after it’s too late, that they’re devastatingly dangerous: Bang! Ka-boom! Think of it this way: the Times is a nation-state; BuzzFeed is stateless. Disruptive innovation is competitive strategy for an age seized by terror.
Replacing “progress” with “innovation” skirts the question of whether a novelty is an improvement: the world may not be getting better and better but our devices are getting newer and newer.
The word “innovate”—to make new—used to have chiefly negative connotations: it signified excessive novelty, without purpose or end.
Joseph Schumpeter, in his landmark study of business cycles, used the word to mean bringing new products to market, a usage that spread slowly, and only in the specialized literatures of economics and business.
Disruptive innovation can reliably be seen only after the fact.
Christensen has compared the theory of disruptive innovation to a theory of nature: the theory of evolution. But among the many differences between disruption and evolution is that the advocates of disruption have an affinity for circular arguments.
Like the bursting of the dot-com bubble, the meltdown didn’t dim the fervor for disruption; instead, it fuelled it, because these products of disruption contributed to the panic on which the theory of disruption thrives.
People aren’t disk drives. Public schools, colleges and universities, churches, museums, and many hospitals, all of which have been subjected to disruptive innovation, have revenues and expenses and infrastructures, but they aren’t industries in the same way that manufacturers of hard-disk drives or truck engines or drygoods are industries. Journalism isn’t an industry in that sense, either.
Historically, institutions like museums, hospitals, schools, and universities have been supported by patronage, donations made by individuals or funding from church or state. The press has generally supported itself by charging subscribers and selling advertising. (Underwriting by corporations and foundations is a funding source of more recent vintage.) Charging for admission, membership, subscriptions and, for some, earning profits are similarities these institutions have with businesses. Still, that doesn’t make them industries, which turn things into commodities and sell them for gain.
Christensen and Eyring’s recommendations for the disruption of the modern university include a “mix of face-to-face and online learning.” The publication of “The Innovative University,” in 2011, contributed to a frenzy for Massive Open Online Courses, or moocs, at colleges and universities across the country, including a collaboration between Harvard and M.I.T., which was announced in May of 2012. Shortly afterward, the University of Virginia’s panicked board of trustees attempted to fire the president, charging her with jeopardizing the institution’s future by failing to disruptively innovate with sufficient speed;