Searching for "artificial intelligence"
Education in the ‘Fourth Wave’ of Science-Driven Economic Advancement
By David Nagel 07/06/16
fourth wave, one driven by nanotechnology, biotechnology and artificial intelligence.
In at least one presentation, he referred to the American education system as “the worst educational system known to science.”
Although there will be a “perfect” and direct transfer of information to everyone with or without educators, students will still need to come to class to benefit from the wisdom and experience of their teachers.
“So in the future, there’s going to be a balance, a balance between ‘e-instruction’ and mentoring. And teachers, more and more, will be in the business of mentoring [and] personal experience because you cannot get that on the Internet.”
Those aspects of “mentoring” and “career guidance” are especially important to Kaku, who said that teachers must push students to where the jobs will be in the future.
We’re at a curious point in the hype cycle of educational innovation, where the hottest concept of the past year–Massive Open Online Courses, or MOOCs–is simultaneously being discovered by the mainstream media, even as the education-focused press is declaring them dead. “More Proof MOOCs are Hot,” and “MOOCs Embraced By Top Universities,” said the Wall Street Journal and USA Today last week upon the announcement that Coursera had received a $43 million round of funding to expand its offerings;
“Beyond MOOC Hype” was the nearly simultaneous headline in Inside Higher Ed.
Can MOOCs really be growing and dying at the same time?
The best way to resolve these contradictory signals is probably to accept that the MOOC, itself still an evolving innovation, is little more than a rhetorical catchall for a set of anxieties around teaching, learning, funding and connecting higher education to the digital world. This is a moment of cultural transition. Access to higher education is strained. The prices just keep rising. Questions about relevance are growing. The idea of millions of students from around the world learning from the worlds’ most famous professors at very small marginal cost, using the latest in artificial intelligence and high-bandwidth communications, is a captivating one that has drawn tens of millions in venture capital. Yet, partnerships between MOOC platforms and public institutions like SUNY and the University of California to create self-paced blended courses and multiple paths to degrees look like a sensible next step for the MOOC, but they are far from that revolutionary future. Separate ideas like blended learning and plain old online delivery seem to be blurring with and overtaking the MOOC–even Blackboard is using the term.
The time seems to be ripe for a reconsideration of the “Massive” impact of “Online” and “Open” learning. TheReclaim Open Learning initiative is a growing community of teachers, researchers and learners in higher education dedicated to this reconsideration. Supporters include the MIT Media Lab and the MacArthur Foundation-supported Digital Media and Learning Research Hub. I am honored to be associated with the project as a documentarian and beater of the drum.
Entries are currently open for our Innovation Contest, offering a $2000 incentive to either teachers or students who have projects to transform higher education in a direction that is connected and creative, is open as in open content and open as in open access, that is participatory, that takes advantage of some of the forms and practices that the MOOC also does but is not beholden to the narrow mainstream MOOC format (referring instead to some of the earlier iterations of student-created, distributed MOOCscreated by Dave Cormier, George Siemens, Stephen Downes and others.)
Current entries include a platform to facilitate peer to peer language learning, a Skype-based open-access seminar with guests from around the world, and a student-created course in educational technology. Go hereto add your entry! Deadline is August 2. Our judges include Cathy Davidson (HASTAC), Joi Ito (MIT), and Paul Kim (Stanford).
Reclaim Open Learning earlier sponsored a hackathon at the MIT Media Lab. This fall, September 27 and 28, our judges and contest winners will join us at a series of conversations and demo days to Reclaim Open Learning at the University of California, Irvine. If you’re interested in continuing the conversation, join us there or check us out online.
more on AI in this IMS blog
4 Ways AI Education and Ethics Will Disrupt Society in 2019
In 2018 we witnessed a clash of titans as government and tech companies collided on privacy issues around collecting, culling and using personal data. From GDPR to Facebook scandals, many tech CEOs were defending big data, its use, and how they’re safeguarding the public.
Meanwhile, the public was amazed at technological advances like Boston Dynamic’s Atlas robot doing parkour, while simultaneously being outraged at the thought of our data no longer being ours and Alexa listening in on all our conversations.
1. Companies will face increased pressure about the data AI-embedded services use.
2. Public concern will lead to AI regulations. But we must understand this tech too.
In 2018, the National Science Foundation invested $100 million in AI research, with special support in 2019 for developing principles for safe, robust and trustworthy AI; addressing issues of bias, fairness and transparency of algorithmic intelligence; developing deeper understanding of human-AI interaction and user education; and developing insights about the influences of AI on people and society.
This investment was dwarfed by DARPA—an agency of the Department of Defence—and its multi-year investment of more than $2 billion in new and existing programs under the “AI Next” campaign. A key area of the campaign includes pioneering the next generation of AI algorithms and applications, such as “explainability” and common sense reasoning.
Federally funded initiatives, as well as corporate efforts (such as Google’s “What If” tool) will lead to the rise of explainable AI and interpretable AI, whereby the AI actually explains the logic behind its decision making to humans. But the next step from there would be for the AI regulators and policymakers themselves to learn about how these technologies actually work. This is an overlooked step right now that Richard Danzig, former Secretary of the U.S. Navy advises us to consider, as we create “humans-in-the-loop” systems, which require people to sign off on important AI decisions.
3. More companies will make AI a strategic initiative in corporate social responsibility.
Google invested $25 million in AI for Good and Microsoft added an AI for Humanitarian Action to its prior commitment. While these are positive steps, the tech industry continues to have a diversity problem
4. Funding for AI literacy and public education will skyrocket.
Ryan Calo from the University of Washington explains that it matters how we talk about technologies that we don’t fully understand.
Egan, K., Foley, J., Nicholson, K., & Sloane, K. (2018, May 22). The Promise and Pitfalls of AI and VR for Teaching and Learning [Virtual]. eXtended Reality (XR): How AR, VR, and MR Are Extending Learning Opportunities
. Educause. Retrieved from https://events.educause.edu/eli/focus-sessions/2018/extended-reality-xr-how-ar-vr-and-mr-are-extending-learning-opportunities/agenda/the-promise-and-pitfalls-of-ai-and-vr-for-teaching-and-learning
NMC Horizon Report > 2017 Library Edition
PDF file 2017-nmc-horizon-report-library-EN-20ml00b
p. 26 Improving Digital Literacy
As social networking platforms proliferate and more interactions take place digitally, there are more opportunities for propagation of misinformation, copyright infringement, and privacy breaches.
p. 34 Embracing the need for radical change
40% of faculty report that their students ” rarely” interact with campus librarians.
Empathy as the Leader’s Path to Change | Leading From the Library, By October 27, 2016, http://lj.libraryjournal.com/2016/10/opinion/leading-from-the-library/empathy-as-the-leaders-path-to-change-leading-from-the-library/
Empathy as a critical quality for leaders was popularized in Daniel Goleman’s work about emotional intelligence. It is also a core component of Karol Wasylyshyn’s formula for achieving remarkable leadership. Elizabeth Borges, a women’s leadership program organizer and leadership consultant, recommends a particular practice, cognitive empathy.
Leadership in disruptive times, James M. Matarazzo, Toby Pearlstein, First Published September 27, 2016, http://journals.sagepub.com/doi/full/10.1177/0340035216658911
What is library leadership? a library leader is defined as the individual who articulates a vision for the organization/task and is able to inspire support and action to achieve the vision. A manager, on the other hand, is the individual tasked with organizing and carrying out the day-to-day operational activities to achieve the vision.Work places are organized in hierarchical and in team structures. Managers are appointed to administer business units or organizations whereas leaders may emerge from all levels of the hierarchical structures. Within a volatile climate the need for strong leadership is essential.
Leaders are developed and educated within the working environment where they act and co-work with their partners and colleagues. Effective leadership complies with the mission and goals of the organization. Several assets distinguish qualitative leadership:
Mentoring. Motivation. Personal development and skills. Inspiration and collaboration. Engagement. Success and failure. Risk taking. Attributes of leaders.
Leaders require having creative minds in shaping strategies and solving problems. They are mentors for the staff, work hard and inspire them to do more with less and to start small and grow big. Staff need to be motivated to work at their optimum performance level. Leadership entails awareness of the responsibilities inherent to the roles of a leader. However, effective leadership requires the support of the upper management.
p. 36. Developments in Technology for Academic and Research Libraries
- consumer technologies
- Digital strategies are not so much technologies as they are ways of using devices and software to enrich teaching, learning, research and information management, whether inside or outside the library. Effective Digital strategies can be used in both information and formal learning; what makes them interesting is that they transcended conventional ideas to create something that feels new, meaningful, and 21st century.
- enabling technologies
this group of technologies is where substantive technological innovation begins to be visible.
- Internet technologies.
- learning technologies
- social media technologies. could have been subsumed under the consumer technology category, but they have become so ever-present and so widely used in every part of society that they have been elevated to their own category. As well-established as social media is, it continues to evolve at a rapid pace, with new ideas, tools, and developments coming online constantly.
- Visualization technologies. from simple infographics to complex forms of visual data analysis. What they have in common is that they tap the brain’s inherent ability to rapidly process visual information, identify patterns, and sense order in complex situations. These technologies are a growing cluster of tools and processes for mining large data sets, exploring dynamic processes, and generally making the complex simple.
p. 38 Big Data
Big data has significant implications for academic libraries in their roles as facilitators and supporters of the research process. big data use in the form of digital humanities research. Libraries are increasingly seeking to recruit for positions such as research data librarians, data curation specialists, or data visualization specialists
p. 40 Digital Scholarship Technologies
digital humanities scholars are leveraging new tools to aid in their work. ubiquity of new forms of communication including social media, text analysis software such as Umigon is helping researchers gauge public sentiment. The tool aggregates and classifies tweets as negative, positive, or neutral.
p. 42 Library Services Platforms
Diversity of format and materials, in turn, required new approaches to content collection and curation that were unavailable in the incumbent integrated library systems (ILS), which are primarily designed for print materials. LSP is different from ILS in numerous ways. Conceptually, LSPs are modeled on the idea of software as a service (SaaS),which entails delivering software applications over the internet.
p. 44 Online Identity.
incorporated the management of digital footprints into their programming and resources
simplify the idea of digital footprint as“data about the data” that people are searching or using online. As resident champions for advancing digital literacy,304 academic and research libraries are well-positioned to guide the process of understanding and crafting online identities.
Libraries are becoming integral players in helping students understand how to create and manage their online identities. website includes a social media skills portal that enables students to view their digital presence through the lens in which others see them, and then learn how they compare to their peers.
p. 46 Artificial Intelligence
p. 48 IoT
beacons are another iteration of the IoT that libraries have adopted; these small wireless devices transmit a small package of data continuously so that when devices come into proximity of the beacon’s transmission, functions are triggered based on a related application.340 Aruba Bluetooth low-energy beacons to link digital resources to physical locations, guiding patrons to these resources through their custom navigation app and augmenting the user experience with location-based information, tutorials, and videos.
students and their computer science professor have partnered with Bavaria’s State Library to develop a library app that triggers supplementary information about its art collection or other points of interest as users explore the space
more on Horizon Reports in this IMS blog
Instruction and Liaison Librarian, University of Northern Iowa
games and gamification. the semantics are important. using the right terms can be crucial in the next several years.
gamification for the enthusiasm. credit course with buffet. the pper-to-peer is very important
affordability; east to use; speed to create.
assessment. if you want heavy duty, SPSS kind of assessment, use polldaddy or polleverywhere.
Kahoot only Youtube, does not allow to upload own video or use Kaltura AKA Medispace, text versus multimedia
Kahoot is replacing Voicethread at K12, use the wave
Kahoot allows to share the quizzes and surveys
Kahoot is not about assessment, it is not about drilling knowledge, it is about conversation starter. why do we read an article? there is no shame in wrong answer.
the carrot: when they reach the 1000 points, they can leave the class
Kahoot music can be turned off, how short, the answers are limited like in Twitter
screenshot their final score and reach 80%
gravity is hard, scatter start with. auditory output
1st day is Kahoot, second day is Team challange and test
embed across the curriculum
gaming toolkit for campus
what to take home: have students facing students from differnt library
Putting it all together: a holistic approach to utilizing your library’s user data for making informed web design decisions
In the age of Big Data, there is an abundance of free or cheap data sources available to libraries about their users’ behavior across the many components that make up their web presence. Data from vendors, data from Google Analytics or other third-party tracking software, and data from user testing are all things libraries have access to at little or no cost. However, just like many students can become overloaded when they do not know how to navigate the many information sources available to them, many libraries can become overloaded by the continuous stream of data pouring in from these sources. This session will aim to help librarians understand 1) what sorts of data their library already has (or easily could have) access to about how their users use their various web tools, 2) what that data can and cannot tell them, and 3) how to use the datasets they are collecting in a holistic manner to help them make design decisions. The presentation will feature examples from the presenters’ own experience of incorporating user data in decisions related to design the Bethel University Libraries’ web presence.
data tools: user testing, google analytics, click trakcer vendor data
- user testing, free, no visualization, cross-domain, easy to use, requires scripts
qualitative q/s : why people do what they do and how will users think about your content
3 versions: variables: options on book search and order/wording of the sections in the articles tab
Findings: big difference between tabs versus single-page. Lil difference btw single-page options. Take-aways it won’t tell how to fix the problem, how to be empathetic how the user is using the page
Like to do in the future: FAQ and Chat. Problem: low use. Question how to make it be used (see PPT details)
- Crazy Egg – Click Trackers. not a free tool, lowest tier, less $10/m.
see PPT for details>
interaction with the pates, clicks and scrollings
- scroll analytics
not easy to use, steep learning curve
“blob” GAnalytics recognize the three different domains that r clicked through as one.
- vendor data: springshare
chat and FAQ
is there a dashboard tool that can combine all these tools?
optimal workshop: reframe, but it is more about qualitative data.
how long does it take to build this? about two years in general, but in the last 6 months focused.