Following the post on the future of work, was thinking about what implications this would have for education, and the most obvious connection between work and education is about credentials. These are the signposts that tell (current or future) employers that a person has a certain set of characteristics. The most obvious example of credentials is the degree which your college/university has given you, telling the world that you meet a certain set of criteria. Often, this criteria is somewhat obscure, and may mean all things to all people, as we can see from the fact that the same credential from different universities mean different things, as seen from the value that people assign to them.
Today, a college degree has immense value for an employer, because the college degree tells the employer that the student has gone through a certain set of courses, and therefore is the right person to meet the requirements of the employers. From the employer’s perspective, the degree tells them that the prospective employee has the skills to be able to build a career. What employers look for is the assurance that the prospective employee has what it takes to fit into the grand scheme of things, to become a part of the larger picture that their organisation represents.
However, as the nature of work changes, as I said before, would such a credential of an ability to learn all things be as important? I believe that in such a scenario, where an individual would be contributing their specific quantum of work in a larger value chain as a ‘freelancer’ the skills of the individual in that particular space would become much more important than their generic ability. This means that organisations would naturally be more interesting in evidence of achievement in that specific area.
Such a shift in focus from organisations would necessarily mean that the ability to demonstrate ability in a particular area would become more valuable than the ability to demonstrate overall/generic ability. Hence, I feel, artefacts generated by individuals in the course of their learning, whether in the form of project reports, or papers authored, or creative work, would probably have a far greater impact than the degree. So, for instance, a paper written by a student on a particular topic, related to the work sphere of the student would likely have far more interest for employers than the degree or the grade would.
In other words, the evidence of achievement, in the form of artefacts, or in the form of eminence would become a far more valuable resource by which to evaluate prospective employees than simply the degree.
A topic I have been thinking about for a while now is what is the future of work, and of employment. There are a number of questions which come up, to which I must say I don’t have any answers.
One question I think about is the expected mismatch between the demand and availability of work in the future. Another is about the possible mismatch between skills requirement and availability.
Coming to the question of expected mismatch between work demand and availability, one dimension we need to consider, when building future scenarios is overall population. We are told repeatedly that technology is meant to make our lives easier, so we can spend more time with our loved ones. While thats a nice idea, what that means is that in the future, we are likely going to see much more work being automated at a global level, with people having to work less and less. This means lower demand for human resources, which could lead to a future this op-ed from Washington Post describes.
That said, however, there is another aspect which we need to consider. This is the fact that while a number of traditional occupations might not be around a few decades from now, there are likely going to be a number of new occupations, or even industries which could be generated over a period of time, as this piece from University of Kent tells us. While video games have been around for a while, no one could have anticipated the level of growth the gaming industry would see, for instance. New occupations and industries, of course, would require different skills, something we need to prepare our children for.
The other dimension is the mismatch between skills demand and availability. With Europe growing older, for instance, Europe will likely need to import workers, and with Africa growing younger, its quite simple to see where the additional workers required would come from.
This is an illustration of possible imbalances we could see in the future. The larger point here is this … the regions of the world which are well-off are likely to have fewer people in working age-groups in the future, while the regions which would have larger working-age populations would likely be unable to give access to the kind of education required to meet the needs of the job market.
Does this mean that it might be important for certain regions of the world to subsidise education and skill-building in other parts of the world? Should Japan, for instance, invest in education/skill-building in India? In other words, are we headed toward a far more integrated world as the viable solution to the problems of tomorrow?
In todays L&D landscape, the way businesses determine who should participate in what training isnt far away from some sort of conjuring act. More often than not, the result of this is a mixed bag, and many of the L&D professionals I speak to tell me that the L1 scores (based on the Kirkpatrick model) are more often than not tending towards the lower end of the spectrum.
There are typically two ways a business determines training participation. One is based on mandated training (usually related to promotion/growth), while the other is nomination by the business manager. Both of these are based on picking up from a ‘menu’ of available programs, and neither really takes into consideration the actual learning needs of the individual.
This is where the idea of predictive learning comes in. The idea here is simple … today, with the technology available to us, especially in the Big Data/Analytics domains, the data about what has worked in the past in what context is available to the organization in a large scale. This data is available based on training, HR, and operations/business data. This rich data can be leveraged to determine what is the best training solution which would likely work in a particular employee context. Like Big Data, this neednt look at the reason (or connection) between cause and effect, rather, look at the linkages as they have been seen in the past.
An important aspect of this picture is that this shifts the focus from training and learning, and from L&D to the individual learner, and makes the entire process people-centric.
One concern with this, though, could be that the outcome of the requirements could be way too granular, and too tailored to individual needs, so as to be unviable from the delivery perspective. More about this later …
There is, for obvious interest, quite a bit of interest in the subject of subjects, or, rather, in the subject of examinations on those subjects. The newspapers recently reported that Central Advisory Board of Education has recommended re-introduction of the class X exams. Another subject the article talks about is the policy of student detention based on exam results.
This brings us to a basic question … what is the purpose of exams? While there is definitely a need within the education system to assess achievement of learning objectives, the problem begins when exams are seen as a mechanism to weed out students who may not meet the criterion of meeting learning objectives. If the intent is to ensure that students learn the things they are supposed to, would studying the same thing again help a student understand better than the first time? This is akin to repeating something in the hope that just by repeating it, the other person will understand it. If the student didnt understand it the first time, isnt it more than likely that he wont understand the next time either?
Instead of having the student go through the entire year, it would be more helpful for the student if the focus was to be on topics the student was facing difficulty in understanding. A quick look at the answer sheet for the exam will give the answer. This, though, wont scale without the use of technology to support this, and today, we have the technology to move assessment in this direction.
Another aspect is to find out what we are testing. Are we testing memory of the subject, or are we testing understanding? If we are trying to assess achievement of learning objectives, we need to focus on understanding. This means the pattern of testing needs to change towards application of concepts from simple recitation of concepts, and we, as a nation, probably need an examination/assessment policy to complement the education and learning frameworks in the country.
A discussion I was having the other day got me to think about how Talent Management is based on principles which are analogous to other functions. And this brought me to the idea of the similarity between Talent Management and Supply Chain Management, in terms of principles. If we look at the essence of Talent Management to be about bringing the right people to the right roles at the right time, then we can, from there, start looking at the essence being to match the demand for talent with available supply, and building supply pipelines where there is a shortfall.
To begin with, one of the major conconers for organizations is uncertainty. If things were fairly certain, then there wouldnt be much to be gained by trying to manage talent, because things would be running pretty much the way they are running. The sources of uncertainty are many, but thats for another time. This uncertainty results in the need to identify, based on the organization strategy, and operating plans for the coming years, what the organization’s talent requirement is going to be. Given uncertainty, there is also the need to identify how good this estimate is. This is analogous to demand planning, where the need is to estimate how much demand the organization would need for which products, and the amount of uncertainty (sometimes measured in terms of probability) associated with that demand. Based on this estimate, one can arrive at the talent required to meet the strategic and operational plans.
With this forecast as the baseline, one can then look at the talent existing in the system. This may be the talent pool which is ready for the roles for which they are required. This is akin to the gross-to-net calculation which is common in all material planning (MRP) systems. At the same time, one also needs to try to identify how many people the organization wants to, or can, develop from within, to meet these talent requirements, and from here, derive what the hiring plan looks like. This is quite akin to make-or-buy decisions material planners regularly have to make, keeping in mind available resources to make. At the same time, this serves as the input to defining Development Plans, which is akin to creating Work Orders to meet the build requirements.
Traditional succession planning is about identifying which individual should be doing what role some period down the line, but this is problematic, given that after that period of time, either the person may not be with the organization, or the role envisaged may not be part of the role directory of the organization. So, instead of looking at an individual job and a particular person, one can look at a job family to be fulfilled by a talent pool. This is analogous to product-family or product-category level planning, because forecasting, and therefore planning at the aggregate level is more accurate.
Over a period of time, the concept of Talent Management has become a hot topic in HR circles, and many people are talking about the idea. However, I dont quite know any two sources which give the same definition of Talent Management. A number of things I have read include:
- Talent Management is strategic while HR is transactional
- Talent Management is about retaining high-flyers while HR is for lesser mortals
- Talent Management is about managing skills while HR is about managing the policies related to people
- Talent Management is old wine in new bottles
- Its a term coined by clever management consultants to make a quick buck (no I havent read that but thats always a pet theory of quite a few people, isnt it?)
Are these true? I dont quite think so. To some extent, I feel Talent Management is the natural progression from the HR philosophy. Essentially, I feel the difference between HR and TM are more to do with how the organization looks at its main asset … people! In the earlier, HR world, people were one of the factors of production, and of creating value for the organization in a sort of undistinguished way, somewhat (though this is not exactly an accurate parallel, but just to create an illustration) like one machine is interchangeable with another machine, and none the wiser.
TM is based on the understanding that each individual is a distinct one, and each one has a distinct personality, a particular set of talents and skills, aspirations and potential which is unique to each one, and so, need to be treated iondividually. This means that the growth needs, based on their aspirations, would be different for different people, which means that development plans, both in terms of skills development and individual growth in the organization need to be tailored to the individual needs of the particular person. And this, I feel, is the primary difference between TM and HR.
Whether you are a Talent Management practitioner, or a Learning & Development practitioner, you would have the question about how these two should align. The question is one of how one can enable the other. To answer this, one must explore the source of L&D initiatives, with which L&D initiatives must be aligned. This source is higher people performance. If we take this as the premise, then it stands to reason that L&D must be strongly aligned with TM strategy.
People performance is defined based on the performance management framework the organization would have in place. Broadly, the levels of this framework (in a theoretical scenarion, and many organizations differ widely from this) could be seen here, and one can also see the levels and ways in which L&D can align with, and enable this TM strategy.
As you can see, the inputs from L&D initiatives at different levels need to be aligned to the requirements of that level, and the learning objectives which need to be met at that level.
At the level of KCAs, where the need is to build behaviourial capability, the training requirement primarily is for soft-skills, the details of which are based typically on a combination of role and the level in the hierarchy of the employee (commonly called band).
At the employee-goals level, the requirements are either in terms of organization needs from the employee, or in terms of employee aspirations, and these are primarily met in the form of technical training, or in form of training designed to meet the needs of succession or progression. From the perspective of succession or progression, organizations usually have programs aimed at equipping people for meeting specific roles, wither at the same level or at a higher level, and these would typically form part of the training needs at this level of the framework.
At the project/operational level, the training needs are primarily project-focused, to build capability inventory aligned with the requirements of the project or operations, and this forms a large part of the training requirements, mostly technical or functional.