From DSC: I know Quentin Schultze from our years working together at Calvin College, in Grand Rapids, Michigan (USA). I have come to greatly appreciate Quin as a person of faith, as an innovative/entrepreneurial professor, as a mentor to his former students, and as an excellent communicator.
Quin has written a very concise, wisdom-packed book that I would like to recommend to those people who are seeking to be better communicators, leaders, and servants. But I would especially like to recommend this book to the leadership at Google, Amazon, Apple, Microsoft, IBM, Facebook, Nvidia, the major companies developing robots, and other high-tech companies. Why do I list these organizations? Because given the exponential pace of technological change, these organizations — and their leaders — have an enormous responsibility to make sure that the technologies that they are developing result in positive changes for societies throughout the globe. They need wisdom, especially as they are working on emerging technologies such as Artificial Intelligence (AI), personal assistants and bots, algorithms, robotics, the Internet of Things, big data, blockchain and more. These technologies continue to exert an increasingly powerful influence on numerous societies throughout the globe today. And we haven’t seen anything yet! Just because we can develop and implement something, doesn’t mean that we should. Again, we need wisdom here.
But as Quin states, it’s not just about knowledge, the mind and our thoughts. It’s about our hearts as well. That is, we need leaders who care about others, who can listen well to others, who can serve others well while avoiding gimmicks, embracing diversity, building trust, fostering compromise and developing/exhibiting many of the other qualities that Quin writes about in his book. Our societies desperately need leaders who care about others and who seek to serve others well.
I highly recommend you pick up a copy of Quin’s book. There are few people who can communicate as much in as few words as Quin can. In fact, I wish that more writing on the web and more articles/research coming out of academia would be as concisely and powerfully written as Quin’s book, Communicate Like a True Leader: 30 Days of Life-Changing Wisdom.
To lead is to accept responsibility and act responsibly.
— Quentin Schultze
What technologies do faculty think will be important in education over the next decade? The most popular answer to that question by far was virtual/augmented/mixed reality, garnering 81 percent of responses (it topped the list last year as well). Mobile devices and apps, 3D modeling/scanning/printing, adaptive/personalized learning and video/streaming all rounded out the top five.
From DSC: Great to see several of these items made the list. I would also add:
The use of Natural Language Processing (NLP) to allow more voice-enabled and voice-driven applications
Learning agents/bots (for example, a learning-related bot could go find out the top 50-100 jobs that employers are hiring for and present a list of potential digital playlists from a variety of providers that would help potential employees be able to do the work in those positions)
Blockchain and the use of web-based learner profiles
Artificial Intelligence / cognitive computing (which could be argued is already mentioned in the item re: adaptive, personalized learning)
Moving towards providing up-to-date streams of content (for purposes of lifelong learning and microlearning)
Finally, it was great to see #9 on the list as I, too, believe that a next gen learning platform is needed:
From DSC: Getting employees to make time for L&D needs to be based upon “what’s in it for them” — i.e., the main role of the L&D Team/Department should be to create the platforms and means by which employees can learn whatever they need to learn in order to do their jobs well (as well as to learn the skills necessary to move into those new areas that they’ve been wanting to move into). They’re going to find ways to do this anyway, why not give them the tools/knowledge of the tools and the platforms in order to better facilitate that learning to happen at a quicker pace?
An L&D Team could provide content curation services themselves and/or they could connect the employees with knowledgeable people. For example, give employees the key people to connect with who are doing their jobs really well.
For example, the L&D Team could maintain and provide a list of the top 10*:
Internal Sales employees to connect with and learn from, as well as the top 10 external Sales people to connect with and learn from (these people may or may not be in the same industry).
Internal Customer Service employees to connect with and learn from, as well as the top 10 external Customer Service people to connect with and learn from (these people may or may not be in the same industry).
Internal Marketing employees to connect with and learn from, as well as the top 10 external Marketing people to connect with and learn from (these people may or may not be in the same industry).
Etc.
* Or top 5, or top 50, or top whatever # that the L&D Team
thinks would be most beneficial to the organization
I think each employee in the workforce needs to know about the power of RSS feeds and feed aggregators such as Feedly. In fact, I advocate that same approach for most every student in middle school, high school, and college as well.We need to be able to connect with others and tap into streams of content being produced — as well as contribute to those streams of content as well. Blogs, Twitter, LinkedIn, CMSs/LMSs, etc. can provide beneficial streams of content.
“And learners are evolving at a quicker pace than the learning programs that support them.”
Also, based upon the above image, I find it interesting that the corporate L&D teams are struggling with what higher education has been struggling with as well — i.e., predicting which skills will be needed and responding as quickly as possible in order to develop the necessary learning modules/RSS feeds/content/etc. to remain up-to-date. Actually, I suspect that it’s not that the learners are evolving at a quicker pace than the learning programs that support them, rather its the required skills and needs of the positions that are evolving at a quicker pace than the learning programs that support them.
Our institutions and our L&D Departments are simply not used to this pace of change. No one is.
We need better mechanisms of dealing with this new pace of change.
One last random thought here…perhaps a portion of the L&D department will morph into creating bots for internal employees, helping answer questions at the point of need.
Google today announced the beta release of its Cloud Job Discovery service, which uses artificial intelligence to help customers connect job vacancies with the people who can fill them.
Formerly known as the Cloud Jobs API, the system is designed to take information about open positions and help job seekers take better advantage of it. For example, Cloud Job Discovery can take a plain language query and help translate that to the specific jargon employers use to describe their positions, something that can be hard for potential employees to navigate.
As part of this beta release, Google announced that Cloud Job Discovery is now designed to work with applicant-tracking systems and staffing agencies, in addition to job boards and career site providers like CareerBuilder.
It also now works in 100 languages. While the service is still primarily aimed at customers in the U.S., some of Google’s existing clients need support for multiple languages. In the future, the company plans to expand the Cloud Job Discovery service internationally, so investing in language support now makes sense going forward.
From DSC: Now tie this type of job discovery feature into a next generation learning platform, helping people identify which skills they need to get jobs in their local area(s). Provide a list of courses/modules/RSS feeds to get them started. Allow folks to subscribe to constant streams of content and unsubscribe to them at any time as well.
We MUST move to lifelong, constant learning via means that are highly accessible, available 24×7, and extremely cost effective. Blockchain-based technologies will feed web-based learner profiles, which each of us will determine who can write to our learning profile and who can review it as well.
Addendum on 9/29/17:
Facebook partners with ZipRecruiter and more aggregators as it ramps up in jobs — from techcrunch.com by Ingrid Lunden Excerpt: Facebook has made no secret of its wish to do more in the online recruitment market — encroaching on territory today dominated by LinkedIn, the leader in tapping social networking graphs to boost job-hunting. Today, Facebook is taking the next step in that process.
Facebook will now integrate with ZipRecruiter — an aggregator that allows those looking to fill jobs to post ads to many traditional job boards, as well as sites like LinkedIn, Google and Twitter — to boost the number of job ads available on its platform targeting its 2 billion monthly active users.
The move follows Facebook launching its first job ads earlier this year, and later appearing to be interested in augmenting that with more career-focused features, such as a platform to connect people looking for mentors with those looking to offer mentorship.
From DSC: The vast majority of the lessons being offered within K-12 and the lectures (if we’re going to continue to offer them) within higher education should be recorded.
Why do I say this?
Well…first of all…let me speak as a parent of 3 kids, one of whom requires a team of specialists to help her learn. When she misses school because she’s out sick, it’s a major effort to get her caught up.As a parent, it would be soooooo great to log into a system and obtain an updated digital playlist of the lessons that she’s missed. She and I could click on the links to the recordings in order to see how the teacher wants our daughter to learn concepts A, B, and C. We could pause, rewind, fast forward, and replay the recording over and over again until our daughter gets it (and I as a parent get it too!).
I realize that I’m not saying anything especially new here, but we need to do a far better job of providing our overworked teachers with more time, funding, and/or other types of resources — such as instructional designers, videographers and/or One-Button Studios, other multimedia specialists, etc. — to develop these recordings. Perhaps each teacher — or team — could be paid to record and contribute their lessons to a pool of content that could be used over and over again. Also, the use of RSS feeds and content aggregators such as Feedly could come in handy here as well. Parents/learners could subscribe to streams of content.
Such a system would be a huge help to the teachers as well. They could refer students to these digital playlists as appropriate — having updated the missing students’ playlists based on what the teacher has covered that day (and who was out sick, at another school-sponsored event, etc.). They wouldn’t have to re-explain something as many times if they had recordings to reference.
—–
Also, within the realm of higher education, having recordings/transcripts of lectures and presentations would be especially helpful to learners who take more time to process what’s being said. And while that might include ESL learners here in the U.S., such recordings could benefit the majority of learners. From my days in college, I can remember trying to write down much of what the professor was saying, but not having a chance to really process much of the information until later, when I looked over my notes. Finally, learners who wanted to review some concepts before a mid-term or final would greatly appreciate these recordings.
Again, I realize this isn’t anything new.But it makes me scratch my head and wonder why we haven’t made more progress in this area, especially at the K-12 level…? It’s 2017. We can do better.
Education in America is a tale of two systems. There’s K-12 education policy and practice, but a separate set of rules—and a separate culture—for higher education. A new book argues that it doesn’t have to be that way.
In “The Convergence of K-12 and Higher Education: Policies and Programs in a Changing Era,” two education professors point out potential benefits of taking a more holistic view to American education (in a volume that collects essays from other academics). They acknowledge that there are potential pitfalls, noting that even well-intentioned systems can have negative consequences. But they argue that “now more than ever, K-12 and higher education need to converge on a shared mission and partner to advance the individual interests of American students and the collective interests of the nation.”
EdSurge recently talked with one of the book’s co-editors, Christopher Loss, associate professor of public policy and higher education at Vanderbilt University. The conversation has been edited and condensed for clarity.
Which is to say that we have tended not to think of the sector as most people actually experience it—which is one continuous ladder, one that often is missing rungs, and is sometimes difficult to climb, depending on a whole host of different factors. So, I think that the research agenda proposed by Pat and I and our collaborators is one that actually gets much closer to the experience that most people actually are having with the educational sector.
From DSC: This is a great 50,000-foot level question and one that reminds me of a graphic I created a couple of years ago that speaks of the continuum that we need to more holistically address — especially as the topic of lifelong learning is increasingly critical to members of our workforce today.
Because in actuality, the lines between high school and college continue to blur. Many students are taking AP courses and/or are dually-enrolled at colleges/universities already. Some high school graduates already have enough credits to make serious headway in obtaining a college degree.
The other thing that I see over and over again is that K-12 is out innovating higher education and is better at communicating with other educators than most of higher education is. As an example, go look at some of the K-12 bloggers and educators out there on Twitter. They have tens of thousands of followers — and many of those followers being other K-12 educators. They are sharing content, best practices, questions, issues/solutions, new pedagogies, new technologies, live communication/training sessions, etc. with each other. Some examples include:
Eric Sheninger 127 K followers
Alice Keeler 110 K followers
Kyle Pace 63.6 K followers
Monica Burns 44.5 K
Lisa Nielsen 32.4 K followers
The vast majority of the top bloggers within higher ed — and those who regularly are out on social media within higher education — are not even close to those kinds of numbers.
What that tells me is that while many educators within K-12 are out on social media sharing knowledge with each other via these relatively new means, the vast majority of administrators/faculty members/staff working within higher education are not doing that. That is, they are not regularly contributing streams of content to Twitter.
But that said, there are few people who are trying to “cross over the lines” of the two systems and converse with folks from both higher ed and K-12.We need more of these folks who are attempting to pulse-check the other systems out there in order to create a more holistic, effective continuum.
I wonder about the corporate world here as well. Are folks from the training departments and from the learning & development groups pulse-checking the ways that today’s students are being educated within higher education? Within K-12? Do they have a good sense of what the changing expectations of their new employees look like (in terms of how they prefer to learn)?
We can do better. That’s why I appreciated the question raised within Jeff’s article.
Is is time to back up a major step and practice design thinking on the entire continuum of lifelong learning?
The internet’s global expansion is entering a new phase, and it looks decidedly unlike the last one.
Instead of typing searches and emails, a wave of newcomers—“the next billion,” the tech industry calls them—is avoiding text, using voice activation and communicating with images.
Rolling out the MM program in May and the degree program in August meant design coordination and creation of eight new online courses in less than a year. We needed a new approach that employed strategies for efficiency and effectiveness.
The Learning Design Team GTPE’s learning design team partners with faculty members to develop their online courses from start to end, providing the heavy lifting for course production. A director of learning design oversees both the instructional design and production aspects of the course production across the entire program. This cross-functional team approach eliminates the silos created by independent instructional design and studio production teams, which in turn, minimizes hand-off points, decreases friction among teams, allows for long-term thinking that leads to smarter course design and development decisions, provides fluidity of talent and roles within the team, and fuels productivity.
…
…the paradigm shift to a learner-focused, team-based approach to course production and delivery, and collaboration of campus partners and groups…
From DSC: Note the use of a team-based approach here. I think that the team-based approach will be the most beneficial to the world at large. Those teams will be able to deliver a high-quality learning experience, with high production values and carefully planned/crafted instructional designs.
Barbara Oakley’s MOOC, Learning How to Learn [2] is the exception to this trend. It is well-produced, informative, and fully embraces the new medium. With over 2 million registered students and completion rates of over 20% [3], (the average MOOC completion rate is 5%), Learning How to Learn is clearly resonating with its audience.
The question is why is it so popular? Intrigued, I enrolled the short MOOC to understand why it was so popular, and what lessons it might have for other MOOC authors to make their offerings more effective their “filmed plays.”
…
Oakley has clearly bucked the overall MOOC trend and has made good use of the inexpensive technologies with well-lit scenes that are clearly edited and make use of the green screen overlay technologies found in her Adobe Premiere video editor. She used a large teleprompter to ensure a fluid delivery of her message and high-quality audio.
…
Learning to Learn is effective because Oakley put a significant amount of effort making it effective. Good content, coupled with high production values, and sound pedagogy take time to produce and clearly pays off in the final product.
Finally, brothers and sisters, whatever is true, whatever is noble, whatever is right, whatever is pure, whatever is lovely, whatever is admirable—if anything is excellent or praiseworthy—think about such things.
From DSC:
Three brief reflections here:
What we think about is important. I know I need the LORD’s help here for sure; but I’m trying to watch what I’m thinking about. The college where I am an adjunct faculty member, Calvin College, seeks to impact the hearts and minds of our students. The mind involves what we think about. As such, the Apostle Paul gives us some solid advice here.
There is power in ideas — for good, or for ill.
Philippians 4:8 is my alma mater’s motto (i.e., Northwestern University) — though I’m sorry to say that Northwestern has drifted far from its original roots and its original worldviews. The current emphasis at NU is to think about oneself — look out for #1 has become their new motto throughout the last few decades. That type of motto asks:
How much money will you be able to make? What will your salary be?
How many people report will be reporting to you?
Where will your office be?
What kind of car will you be driving? What # in the series will it be?
In which area of the city or suburbs will you be able to live?
(By the way, I’m still trying to unlearn that type of perspective and move more towards a 1 Peter 4:10 perspective: Each of you should use whatever gift you have received to serve others, as faithful stewards of God’s grace in its various forms.)
From DSC: When you read the article below, notice how many times these CIO’s mention that they’re tapping into streams of content
How to stay current with emerging tech: CIO tips— from enterprisersproject.com by Carla Rudder CIOs from Target, CVS Health, GE, and others share strategies for keeping up with the latest technologies
Excerpts:
I spend a fair amount of time looking at LinkedIn and Twitter. I’m particular about what I subscribe to. I see what people are interested in, so these social networks are good sources of information.
…
First, I set up Google alerts on topics that are of interest to me. I can skim these daily to keep abreast of what’s happening.
…
On the top-down side, I employ some different tactics. For example, I love using the Flipboard app to find relevant technology new stories targeted to my preferences. Also, I enjoy reading as much as I can about management and macro trends in technology and society.
…
First, pick some new media and follow it regularly. Examples that come to mind are Quartz, Vox, and Slate. Then, seek a balanced perspective from traditional media like The Wall Street Journal, The New York Times, The Atlantic, and The Economist.
…
When I can’t get out to conferences, I watch TED Talks. In fact, I watch a lot of talks that have nothing to do with IT, but they certainly help with leadership.
Student loan debt in the United States has grown 149 percent over the last decade to reach $1.4 trillion, according to a new report from Experian. Over the same period, the average student loan debt per person went up 62 percent.
Held by 13.4 percent of Americans, student loan debt is the fastest growing debt segment and the largest non-household debt. But, counter-intuitively, fewer people make late payments on this type of debt than on other loans. In fact, the percentage of late payments on student debt has decreased 10.1 percent since 2009.
Other key findings of the report include…
From DSC: The thing that makes this soooo difficult is that faculty members, staff, and members of administrations often don’t see this crushing development. It’s invisible to many of them! The growing, heavy gorillas on the backs of our graduates aren’t seen on campus. Students graduate and move on. But the realities and implications of those debts can be felt for decades!
Several major events in our graduates lives are likely to be increasingly postponed, such as:
Starting a family
Purchasing a new home
Investing in — or saving for — their retirement
The current models and methods of higher education must change! Prices MUST come down. If the traditional institutions of higher education don’t change, don’t be surprised when the alternatives keep picking up steam and eventually — and majorly — disrupt higher education.
From DSC: Readers of this Learning Ecosystems blog will recognize the following graphic:
I have long believed that each of us needs to draw from the relevant streams of content that are constantly flowing by us — and also that we should be contributing content to those streams as well. Such content can come from blogs, websites, Twitter, LinkedIn, podcasts, YouTube channels, Google Alerts, periodicals, and via other means.
I’m a big fan of blogging and using RSS feeds along with feed aggregators such as Feedly. I also find that Twitter, LinkedIn, and Google Alerts to be excellent means of tapping into — and contributing to — these streams of content. (See Jane Hart’s compilations to tap into other tools/means of learning as well.)
This perspective is echoed in the following article at the Harvard Business Review:
Help Employees Create Knowledge — Not Just Share It — from hbr.org by John Hagel III and John Seely Brown Excerpt:
Without diminishing the value of knowledge sharing, we would suggest that the most valuable form of learning today is actually creating new knowledge. Organizations are increasingly being confronted with new and unexpected situations that go beyond the textbooks and operating manuals and require leaders to improvise on the spot, coming up with new approaches that haven’t been tried before. In the process, they develop new knowledge about what works and what doesn’t work in specific situations. We believe the old, “scalable efficiency” approach to knowledge needs to be replaced with a new, more nimble kind of “scalable learning.” To foster the latter, managers should understand five essential distinctions…
We need to be constantly challenging our assumptions and beliefs about what is required to achieve impact because, as the world changes, what used to work in the past may no longer work.
— Hagel and Brown
So whether you are working or studying within the world of higher education, or whether you are in the corporate world, or working in a governmental office, or whether you are a student in K-12, you need to be drawing from — and contributing your voice/knowledge to — streams of content.
In fact, in my mind, that’s what Training/L&D Departments should shift their focus to, as employees are already self-motivated to build their own learning ecosystems. And in the world of higher education, that’s why I work to help students in my courses build their own online-based footprints, while encouraging them to draw from — contribute to — these streams of content. As more people are becoming freelancers and consultants, it makes even more sense to do this.
But when we recognize that the environment around us is rapidly changing, skills have a shorter and shorter half-life. While skills are still necessary for success, the focus should shift to cultivating the underlying capabilities that can accelerate learning so that new skills can be more rapidly acquired. These capabilities include curiosity, critical thinking, willingness to take risk, imagination, creativity, and social and emotional intelligence. If we can develop those learning capabilities, we should be able to rapidly evolve our skill sets in ways that keep us ahead of the game.
From DSC: According to the article below, bootcamps appear to be filling several (perceived and/or real) gaps. Quoting from the article:
Why are students enrolling in coding bootcamps? One reason may be the adaptability of these accelerated computer science programs, where students are taught web and mobile development skills that align with industry demands. Programs are offered in-person or online, providing students with flexible learning options. The payoff is decent too: At a typical coding bootcamp, Course Report estimates average tuition is $11,400 for about 14 weeks of instruction, from which the majority students complete on-time and find relevant jobs.
Cost.
Time.
Responsiveness to industry demands.
Greater flexibility.
These are some of the things for traditional institutions of higher education to grapple with, and I would argue the sooner, the better — before this trend finds its legs and gains even more traction/momentum.
For example, in your own mind/thinking…how long do you think it will take bootcamps to begin offering programs that help learners develop content for augmented reality (AR), virtual reality (VR), and mixed reality (MR) — as compared to programs coming out of institutions of traditional higher education?
Whatever your answers are in regards to the reasons for that time difference are likely the exact sort of things institutions need to be working on. For me, at least one of the answers has to do with our current accreditation systems. Other reasons come to my mind as well, but I don’t have time to go there right now.
The five-year coding bootcamp industry estimated at $266 million is rapidly expanding, according to a new market study from Course Report.
The study counted 94 full-time coding bootcamps across the United States and Canada (with programs in 74 U.S. cities). Compared to 2012, there will be 10 times as many graduates this year — or roughly one coding bootcamp graduate for every 3.5 graduates from a traditional university or college. Course Report estimates that 22,814 developers will graduate from coding bootcamps this year — an increase from 15,048 graduates last year.
With virtual assistants answering our emails and robots replacing humans on manufacturing assembly lines, mass unemployment due to widespread automation seems imminent. But it is easy to forget amid our growing unease that these systems are not “all-knowing” and fully competent.
As many of us have observed in our interactions with artificial intelligence, these systems perform repetitive, narrowly defined tasks very well but are quickly stymied when asked to go off script — often to great comical effect. As technological advances eliminate historic roles, previously unimaginable jobs will arise in the new economic reality. We combine these two ideas to map out potential new jobs that may arise in the highly automated economy of 2030.
Despite many claims to the contrary, designing a fully autonomous system is incredibly complex and remains far out of reach. For now, training a human is still much cheaper than developing robot replacement.
From DSC:
Moving forward, perhaps one of the key values/deliverables that higher education will bring to the table will be helping people decide which of the jobs out there are “safe for now and/or into the next decade” and which jobs students should steer clear of (as such positions are already disappearing or will soon be disappearing — to be replaced by robotics, algorithms, AI, and such).*
Along these lines, Tom Vander Ark’s recent posting (below) is akin to what I’m talking about:
Now if only we could get our accrediting methods/agencies up to speed (i.e., to become far more responsive), this could be a very valuable service to provide for prospective students in the future.
*Addendum added on 8/24/17 — a relevant quote from Cathy Engelbert, Deloitte’s CEO, on 8/22/17
We ultimately need to help today’s workers—drivers, factory workers, and beyond—discover where demand for skills will be in five to 10 years and help them gain the necessary expertise and experience to do them well. Historically, wholesale job retraining has been challenging to scale, but the inexorable nature of this transition demands that we try to help them be productive in an even more digitized world economy. We already have a skills gap; we need to figure out how to digitize and skill those workers to match them with the demand for available jobs. There is a collective dialogue that should be engaged now so we can create meaningful, fulfilling, and productive opportunities for all.
From DSC: I’ve been thinking about Applicant Tracking Systems (ATSs) for a while now, but the article below made me revisit my reflections on them. (By the way, my thoughts below are not meant to be a slam on Google. I like Google and I use their tools daily.) I’ve included a few items below, but there were some other articles/vendors’ products that I had seen on this topic that focused specifically on ATSs, but I couldn’t locate them all.
In mid-June, Google announced the implementation of an AI-powered search function aimed at connecting job seekers with jobs by sorting through posted recruitment information. The system allows users to search for basic phrases, such as “jobs near me,” or perform searches for industry-specific keywords. The search results can include reviews from Glassdoor or other companies, along with the details of what skills the hiring company is looking to acquire.
As this is a relatively new development, what the system will mean is still an open question. To help, members from the Forbes Coaches Council offer their analysis on how the search system will impact candidates or companies. Here’s what they said…
5. Expect competition to increase. Google jumping into the job search market may make it easier than ever to apply for a role online. For companies, this could likely tax the already strained-ATS system, and unless fixed, could mean many more resumes falling into that “black hole.” For candidates, competition might be steeper than ever, which means networking will be even more important to job search success. – Virginia Franco
10. Understanding keywords and trending topics will be essential. Since Google’s AI is based on crowd-gathered metrics, the importance of keywords and understanding trending topics is essential for both employers and candidates. Standing out from the crowd or getting relevant results will be determined by how well you speak the expected language of the AI. Optimizing for the search engine’s results pages will make or break your search for a job or candidate. – Maurice Evans, IGROWyourBiz, Inc
Before then, 21-year-old Ms. Jaffer had filled out a job application, played a set of online games and submitted videos of herself responding to questions about how she’d tackle challenges of the job. The reason she found herself in front of a hiring manager? A series of algorithms recommended her.
The debate is on, whether man or machine will win the race, as they are pitted against each other in every walk of life. Experts are already worried about the social disruption that is inevitable, as artificial intelligence (AI)-led robots take over the jobs of human beings, leaving them without livelihoods.The same is believed to happen to the HR profession, says a report by Career Builder. HR jobs are at threat, like all other jobs out there, as we can expect certain roles in talent acquisition, talent management, and mainstream business being automated over the next 10 years. To delve deeper into the imminent problem, Career Builder carried out a study of 719 HR professionals in the private sector, specifically looking for the rate of adoption of emerging technologies in HR and what HR professionals perceived about it.
The change is happening for real, though different companies are adopting technologies at varied paces. Most companies are turning to the new-age technologies to help carry out talent acquisition and management tasks that are time-consuming and labor-intensive.
From DSC: Are you aware that if you apply for a job at many organizations nowadays, your resume has a significant chance of not ever making it in front of a human’s eyeballs for their review? Were you aware that an Applicant Tracking System (an ATS) will likely syphon off and filter out your resume unless you have the exact right keywords in your resume and unless you mentioned those keywords the optimal number of times?
And were you aware that many advisors assert that you should use a 1 page resume — a 2 page resume at most? Well…assuming that you have to edit big time to get to a 1-2 page resume, how does that editing help you get past the ATSs out there? When you significantly reduce your resume’s size/information, you hack out numerous words that the ATS may be scanning for. (BTW, advisors recommend creating a Wordle from the job description to ascertain the likely keywords; but still, you don’t know which exact keywords the ATS will be looking for in your specific case/job application and how many times to use those keywords. Numerous words can be of similar size in the resulting Wordle graphic…so is that 1-2 page resume helping you or hurting you when you can only submit 1 resume for a position/organization?)
Vendors are hailing these ATS systems as being major productivity boosters for their HR departments…and that might be true in some cases. But my question is, at what cost?
At this point in time, I still believe that humans are better than software/algorithms at making judgement calls. Perhaps I’m giving hiring managers too much credit, but I’d rather have a human being make the call at this point. I want a pair of human eyeballs to scan my resume, not a (potentially) narrowly defined algorithm. A human being might see transferable skills better than a piece of code at this point.
Just so you know…in light of these keyword-based means of passing through the first layer of filtering, people are now playing games with their resumes and are often stretching the truth — if not outright lying:
A new study shows huge increase in lies on job applications.
Excerpt (emphasis DSC):
Employer Applicant Tracking Systems Expect an Exact Match Most companies use some form of applicant tracking system (ATS) to take in résumés, sort through them, and narrow down the applicant pool. With the average job posting getting more than 100 applicants, recruiters don’t want to go bleary-eyed sorting through them. Instead, they let the ATS do the dirty work by telling it to pass along only the résumés that match their specific requirementsfor things like college degrees, years of experience, and salary expectations. The result? Job seekers have gotten wise to the finicky nature of the technology and are lying on their résumés and applications in hopes of making the cut.
From DSC:
I don’t see this as being very helpful. But perhaps that’s because I don’t like playing games with people and/or with other organizations. I’m not a game player. What you see is what you get. I’ll be honest and transparent about what I can — and can’t — deliver.
But students, you should know that these ATS systems are in place. Those of us in higher education should know about these ATS systems, as many of us are being negatively impacted by the current landscape within higher education.
Is Your Resume ATS Friendly?
Did you know that an ATS (applicant tracking system) will play a major role in whether or not your resume is selected for further review when you’re applying to opportunities through online job boards?
It’s true. When you apply to a position a company has posted online, a human usually isn’t the first to review your resume, a computer program is. Scouring your resume for keywords, terminology and phrases the hiring manager is targeting, the program will toss your resume if it can’t understand the content it’s reading. Basically, your resume doesn’t stand a chance of making it to the next level if it isn’t optimized for ATS.
To ensure your resume makes it past the evil eye of ATS, format your resume correctly for applicant tracking programs, target it to the opportunity and check for spelling errors. If you don’t, you’re wasting your time applying online.
![The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV](http://danielschristian.com/learning-ecosystems/wp-content/uploads/2012/07/The-Living-Class-Room-Daniel-S-Christian-July-2012.jpg)
