4. Technology
1) Cloud Computing
2) Big Data
3) Internet of Things (IoT)
4) Social Technologies
5) Robotics
6) Automation
7) Artificial Intelligence
40% Australian jobs that exist
today are at risk to
automation.
5. Profession AI
Web Designer The Grid
Online Marketer Persado
Office Manager Betty
Accountant Smacc
HR Professional FlatPi
Journalist Wordsmith
Editor Bold
Lawyer Ross
Doctor Bablyon
Psychologist/Therapist Ellie
Source: Venture Beat, 2016
6. WHAT ARE THE SKILLS & CAPABILITIES
NEEDED FOR THIS FUTURE???
@DrMelisBordogna
#futureofwork
#futureoflearning
11. • Novel & Adaptive Thinking
• Cognitive Load Management
• Sense Making
12. • New Media Literacy
• Design Mindset
• Transdisciplinary Approaches
• Computational Thinking
13. DISCUSSION POINT:
Preparing Students for FOW
What needs to happen now, so that we can
prepare students with these new skills?
@DrMelisBordogna
#futureofwork
#futureoflearning
18. RAPID RESPONSE:
Given the potential impacts of these trends,
what do you believe the future holds for
Higher Ed?
19. “The university has no future. In 15 years, we will have no students to teach.
Students want a good, professional job and degrees are evaluated against
employability. But the professional jobs for which we currently prepare
students will be done by intelligent machines. So why would students take on
the debts involved in undertaking a degree course as it is conceived today?”
—Eric Cook, University of Southampton
20. “Via the nexus of teaching and research, universities are
uniquely positioned to define the skills and attributes of
Australia’s future workforce.”
—Deloitte Access Economics 2015
21.
22. Higher Education in the Future
• ACADEMIC CURRICULA WILL BECOME MORE MULTI-DISCIPLINARY—
GREATER Cross-Disciplinary Learning & Thinking
• A Balance Traditional and Online Learning
• HIGHER EDUCATION WILL NEED TO EXPLORE NEW FUNDING MODELS
• Student Recruitment & Retention Even More Vital
• HIGHER EDUCATION NEEDS TO INVEST IN TECHNOLOGY
23. Student Engagement vs Experience
Experience IS the co-created, contextual conditions within which students
experience the learning environment including the teacher, physical or
virtual surroundings, course and content design as well as the established
institutional (and classroom) cognitive and emotional cultures.
Engagement IS a the outcome of the learner’s perceived value of the
experience interplaying with their own degree of self-efficacy [growth of
confidence].
24. Experience Design—Predictors of Engagement
• Autonomy—
• Feelings of choice and control
• Mastery—
• level of academic challenge
• Reward & Recognition
Source: (Pink 2009; May et al 2004; Korobova & Starobin 2015)
• Social Interaction—
• student-faculty interaction
• active and collaborative learning
• supportive learning environment
• Purpose—
• enriching educational
experiences (relevance)
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Editor's Notes
Working in a world where boundaries do not exist…language, currency and physical location are mattering less and less
50% of workforce by 2020 is predicted to be millennials 75% by 2025…digital natives, different expectations about work
Being connected anytime, anywhere on any device
Living a more pubic life, building communities and increased sharing and collaboration; greater emphasis on health and wellness
Big data, internet of things, greater automation and artificial intelligence
Technological Displacement = Greater Rate = Happening Faster
Data is growing alongside the exponential growth of computing power
Global growth of internet connected devices
Internet of things is all about personalisation….
Social Technologies
“Between $900 billion and $1.3 trillion in value can be unlocked through the use of social technologies.”
In its Collaborative Economy report, Deloitte Access Economics estimated that the value of faster-growing, profitable businesses with collaboration at their core to be worth $46 billion per year in Australia alone
And the value if companies make the most of collaborative opportunities to be worth $9.3 billion per year – Australia alone
For example, thousands of robots are already entering Korean schools to assist with language instruction
-McKinsey Report
IBM’s Watson cognitive computer to do paralegal work; Watson already handles simple cases by itself. Artificial intelligence is also able to make medical diagnoses, and there are robot surgeons. Financial systems run on algorithms.
IBM’s Watson is being trained to answer call centre queries in natural language. It would also make an ideal tutor for Moocs: always available and always up to date.
The Massachusetts Institute of Technology, meanwhile, has established an “Affective Computing Group” within its Media Lab. Heather Knight, a PhD student at Carnegie Mellon University in Pittsburgh, attended a drama course and is now training her robots to express emotion and to “understand” humour. The first two production runs of a Japanese companion robot, called Pepper, sold out in less than a minute. Robots are learning to simulate kindness and caring better than most humans.
https://www.timeshighereducation.com/features/what-will-universities-look-like-in-2030-future-perfect#
http://venturebeat.com/2016/07/23/10-jobs-that-a-i-and-chatbots-will-replace-sooner-or-later/?utm_medium=referral&utm_source=pulsenews
https://thegrid.io/
https://automatedinsights.com/products/ [Wordsmith]
https://bold.io/
http://www.rossintelligence.com/
http://www.telegraph.co.uk/technology/news/12098412/Robot-doctor-app-raises-25m-to-predict-future-of-your-health.html?utm_source=dlvr.it&utm_medium=twitter
http://futurism.com/uscs-new-ai-ellie-has-more-success-than-actual-therapists/
smart machines will soon largely displace humans from tasks that are repetitive and mechanistic—tasks in which humans imitate machines and tasks that aim for scale and consistency of production
Future Workskills 2020 (2011, updated 2016) + Synthesis of other reports Deloitte & Google 2014 Collaborative Economy… 2016 Leadership Report….Future of L&D 2016 report….
Social intelligence will be a critical skill both for managing relationships and adapting to new kinds of workplace organizations, including both off-line and online contexts…New forms of digital labor, like micro-work and crowdsourcing, demand that people quickly establish rapport with distributed teams, frequently composed of colleagues they will never actually meet in person.
In face-to-face interactions, social intelligence is an increasingly important skill, informed by our growing understandings of human behavior, including the profit-margin implications of how well staff are treated. Conversely, lack of social intelligence is becoming less tolerable, especially in key supervisory positions.
Cross Cultural or intercultural competence is the ability to understand and then effectively perform, communicate, and engage with others in a different cultural context.[16]
Exposure is not enough…. researchers maintain that cross-cultural competency must be learned through practice and training…. And in my experience teaching cross-cultural management I’ve seen….
Social (virtual) collaboration…. exists across space and time through both synchronous and asynchronous communication formats
HUGE impacts on and integration with other skill sets….
Sense-making, the ability to create unique insights that are critical to decision-making, will also be impacted by virtual collaboration. Not only can intercultural components complicate sense-making, but the nature of virtual communication sometimes requires more sense-making skills than traditional modes of communication. Social intelligence takes on a whole new meaning in the virtual world, where communications can easily be shorn of politeness and misconstrued. Certainly, new media literacy plays a bit of a role in virtual collaboration, at least in terms of properly using the technological tools.
Novel & Adaptive Thinking…As everyone and everything becomes more connected, the result is not just that we can do things faster, cheaper, or better.
Rather, it is that the whole system becomes highly unpredictable—a change in one area will resonate throughout the whole. As the labor market continues to be defined by volatility, unpredictability, and complexity, workers will be even more frequently called upon to respond to novel and unexpected situations.
Type of Adaptive Thinking….
….. “interactive team cognition.”[45] Interactive team cognition, also referred to as collective cognition, posits that teams are dynamic systems where cognition emerges through interactions among team members as they coordinate and execute a task.[46] Cognition in a team situation is not the sum of the knowledge or capabilities across the individual team members but rather the result of the interactions between them and how they perform in the task environment.[47]
Cognitive Load Management…Cognitive load theory (CLT) was first introduced by Miller (1956) to analyze and address the limitations of an individual’s working memory when faced with processing vast amounts of information. Over the years, many researchers have expanded upon Miller’s original formulation in order to examine the effects of attentional control[55] and multitasking[56] on cognitive load processes in the workplace.
Today’s world requires processing an unprecedented amount of data in our everyday lives. The ability to skillfully manage one’s cognitive capacity becomes especially important as information from people, objects, and other sources continue to increase daily. Managing this tremendous amount of data so that it creates assets, rather than obstacles, will require workers to develop relevant practices and tools.
Deal with the “culture of interruption” also learning how to manage data will also help to streamline how information is packaged and disseminated.
Recent studies suggest that workers may also benefit from practicing mindfulness techniques throughout the day….
Sense-making, the ability to create unique insights that are critical to decision-making….the ability to generalize principles that can be applied to novel situations.
Looking again at the example of financial analysis, digital pattern recognition can successfully tease out countless useful correlations from historical data, but it cannot effectively project the results of a significant qualitative legal change. To intuitively understand a human system well enough to project the impact of changes in underlying motivations or approach is the exclusive domain of human sense-making.
New Media Literacy-- critical evaluation… Workers will need to become fluent in assessing new media forms in order to understand how to receive information and subsequently interpret the world. Goes beyond identity management and is about the new media ecology….
New media literacy, comprised of the underlying skills of ascertaining credibility and identifying implicit messages in texts and visual representations plus “knowledge of use” for new kinds of media.[86]
Design Mindset…Design thinking is an approach to problem solving that can be applied to both real-world situations as well as intangible services. New capabilities are on the horizon for designing our world on scales ranging from micro to macro—from our minds and bodies to our cities and ecosystems. Importantly, design thinking is non-linear.
1) problem finding; 2) observation; 3) visualization and sense making; 4) ideation; 5) prototyping and testing; and 6) viability testing (Glen et al., 2015).[93
Transdisciplinary thinking goes beyond interdisciplinary teamwork by integrating fields and perspectives rather than working jointly across disciplines. As writer and theorist Howard Rheingold explains, this skill is really about “speak[ing] the languages of multiple disciplines biologists who have understanding of mathematics, mathematicians who understand biology.” Future workers will need to be equipped to think through different disciplinary approaches themselves.
Computational thinking, or the ability for individuals to see and manipulate connections across digital systems,
It is defined broadly as “the thought processes involved in formulating problems and their solutions so that the solutions are represented in a form that can be effectively carried out by an information processing agent.”[112] Computational thinking is not just relevant to computer science and adjacent fields—it also encompasses a range of cognitive and analytical abilities that can be used across all disciplines, making it one of the more fundamental skills for future workers.[113] Computational thinking not only brings together principles from across the STEM fields, it is also uniquely transdisciplinary in its incorporation of ideas from communications, psychology, and education.
smart machines will soon largely displace humans from tasks that are repetitive and mechanistic—tasks in which humans imitate machines and tasks that aim for scale and consistency of production
Social Exchange Theory
Social Exchange Theory
Australia’s universities are already perceiving and adapting to these emerging forces. They are innovating in the ways they deliver teaching and learning, disrupting the traditional lecture hall and transforming university campuses into centres of social, intellectual and entrepreneurial activity.
https://www.fastcoexist.com/3029109/futurist-forum/5-bold-predictions-for-the-future-of-higher-education
Augmented and VR Google Glass to Oculus maximize the educational experience
Social Exchange Theory
1. Autonomy – the desire to direct our own lives. 2. Mastery — the urge to get better and better at something that matters. 3. Purpose — the yearning to do what we do in the service of something larger than ourselves.
Instructors can enhance student engagement by encouraging students to become more active participants in their education through setting and achieving goals and by providing collaborative opportunities for educational research, planning, teaching, evaluation, and decision-making.
Providing teachers with training on how to promote student autonomy was beneficial in enhancing student engagement by providing students with a more autonomous environment, rather than a controlling environment.
Learning communities…
Korobova & Starobin 2015)