Learning and Development in Asia be a part of Change

Anirudh Gupta
April 11, 2018

“Learning, learning and continuous learning, ladies and gentleman, is the key differentiator to become a successful organisation.” These words were very powerfully and animatedly stated by the Head of HR of a large Indian Conglomerate at an L&D conference, in Mumbai.

Almost all organisations talk about the importance of learning and development, however few do much about it. It is not because they do not believe in L&D activities; it is because the benefits of learning are difficult to measure. Rather it is very difficult to measure learning.  Therefore, learning and development somehow hovers in the abstruse realm of management. The last to receive budgetary allocation and the first to experience austerity drive.

The economic landscape has drastically changed and is changing with an unprecedented speed. This is both an Indian and global phenomena. The core of this change is advancement in technology –especially computing technology. Massive pools of data can be processed in seconds and this ability of big data analytics is able to provide inferences in real time. This results in quick decision making as well as the need to execute quickly. Now marry this ability to compute quickly, correlate abstract data and provide meaningful, analysed data with learning and there you have birth of ‘true’ digital learning. Add to it the developing science of Artificial Learning and Machine learning - making digital learning effective, efficient and engaging.

Digital learning is there – from basic Learning Management Services (LMS’s) to high end assisted learning intelligence platforms, but the question is ability of the businesses to adapt to digital learning. Anything and everything on a digital device is not digital learning. With this definition, Computer based learning has been there is some form or other since 1970’s and it later avatar of eLearning since early 1990’s.

I would like to share some facts which came up with some interesting findings (based on 189 clients that we have worked with). Some of them are:

Up till 2012 – 80% of the core training was in-person and classroom lead. Where average classroom training averaged 56 training hours a year out of a classroom learning opportunity of 80 hours. Getting 8 hours of eLearning was a challenge, being limited to product and process knowledge or induction programs.

An average program (classroom) lasted for 2 days in 2012.

In 2017 – the average classroom came to one day. With consistent demand for classroom programs not exceeding 4 hours or half a day sessions. With eLearning consumption increasing up to 19 hours a year –from an average eLearning opportunity of 300+ hours (based on custom made and ready to use libraries)

The attention span has dropped considerably to less that 5 minutes and is reducing all the more. This is more due to the choices that a learner has and multiple sources for getting information affecting the ability to concentrate.

The workforce that is now comprising more of millennials, desire for more personalized input, on the go and self-paced learning opportunities. 89% of respondents in a survey conducted by SKILLDOM stated that they find the classroom training uninteresting and that they can better use their time learning the same thing through online medias.

100% of stakeholders were challenged and struggling to measure learning effectiveness and efficiency in 2012 and 100% of stakeholders are still challenged on the same issue in 2017. Nothing much will change in 2018 – until organisation start adapting to intelligent digital learning platforms.

In the same survey conducted by SKILLDOM, 79% of the learners wanted classroom sessions to be skill building sessions, where they could interact and do activities and exercises that helped them become dextrous or sensitive to a certain subject / competency.  74% of the respondents said that micro learning would be better as they can collate mentally concepts and probably apply them at work as and when needed. Both the business and the learner wanted to know – how much I have learnt in the end.

Now on analysing these points the major inferences are :

Classroom learning is important, but needs to be focussed on skill building…

Digital learning is the need of the hour to provide personalized, on the go, self paced and measured learning.

The advantage that digital learning platforms bring is immense. Think of a large bank or a pharma company or a multiband retail outlet that employ probably 1000’s of people. Reaching to every learner is a challenge and reaching in real time is all the more difficult, forget about providing learning opportunity consistently and regularly (I am sure given the current focus on monies, the logistic cost itself will be a major road block).  A digital learning platform can provide all this at a cost that is significantly less than spend which the organization does on coffee per employee per month. Moreover, it is able to measure learning, as it is able to record minute transactions that correlate with learning. Learning content is sourced from the knowledge repository of the organization and curated content from internet that probably has millions of content pieces on the most common competencies that are associated with a role. Which means you can actually measure the learning that a learner is doing. Hence you know what is the ability and all that is left for the business or the learner’s immediate manager to do is bring in the ‘human touch’ to influence the ‘willingness” part.

With improving bandwidth, digital learning is possible and it is here to stay. Even in remotest part of the country, you will find not only the youth but people across a broad demographic spectrum happily hooked on to YouTube and Facebook. The only challenge is to engage with a digital learning platform that can be as interesting as Facebook or YouTube.

So when I hear the words “learning, learning and continuous learning” from the head of HR of an Indian conglomerate and I know it can happen. But to make it happen the core way of functioning and looking at the learning function has to dramatically alter. Adapting digital learning platforms that operate on new age technology is critical. Only when this learning change is initiated will business organisations of today start becoming successful.

***

About- Anirudh Gupta, Skilldom

In his current role, Anirudh oversees the Learning Strategy function at SKILLDOM and guides the development teams to provide the best-possible learning solutions to clients. As a Learning & Development/Organizational Development (L&D/OD) specialist with over 15 years of work experience, he ensures every learning need is addressed optimally. A graduate in English literature from the University of Delhi, Anirudh also holds a management degree from SIMSR, Mumbai. He has additional certifications to his credit in the areas of Organizational Development, Psychology, Instructional Design, Adult Learning Theories, HR Processes from premium institutions in the country and abroad. Further, Anirudh is formally certified professional in the application and interpretation of psychometric tools such as MBTI, 16PF, FIRO-B and TKI.

In his previous positions, Anirudh has led the L&D function for companies such as Wockhardt Limited, ICICI Prudential Life, MetLife India and Glenmark. As a seasoned trainer, he has also conducted various workshops for managerial skills development, leadership development, personality development, culture, diversity and conflict.

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Agencies
February 6,2020

Washington D.C., Feb 6: An international team of astronomers has found an unusual monster galaxy that existed about 12 billion years ago when the universe was only 1.8 billion years old.

The team of astronomers was led by scientists at the University of California, Riverside.

Dubbed XMM-2599, the galaxy formed stars at a high rate and then died. Why it suddenly stopped forming stars is unclear.

"Even before the universe was 2 billion years old, XMM-2599 had already formed a mass of more than 300 billion suns, making it an ultra massive galaxy," said Benjamin Forrest, a postdoctoral researcher in the UC Riverside Department of Physics and Astronomy and the study's lead author.

"More remarkably, we show that XMM-2599 formed most of its stars in a huge frenzy when the universe was less than 1 billion years old and then became inactive by the time the universe was only 1.8 billion years old," Forrest added.

The team used spectroscopic observations from the W. M. Keck Observatory's powerful Multi-Object Spectrograph for Infrared Exploration or MOSFIRE, to make detailed measurements of XMM-2599 and precisely quantify its distance.

The study results appear in the Astrophysical Journal.

"In this epoch, very few galaxies have stopped forming stars, and none are as massive as XMM-2599," said Gillian Wilson, a professor of physics and astronomy at UCR in whose lab Forrest works.

"The mere existence of ultramassive galaxies like XMM-2599 proves quite a challenge to numerical models. Even though such massive galaxies are incredibly rare at this epoch, the models do predict them."

"The predicted galaxies, however, are expected to be actively forming stars. What makes XMM-2599 so interesting, unusual, and surprising is that it is no longer forming stars, perhaps because it stopped getting fuel or its black hole began to turn on. Our results call for changes in how models turn off star formation in early galaxies," the professor stated.

The research team found XMM-2599 formed more than 1,000 solar masses a year in stars at its peak of activity -- an extremely high rate of star formation. In contrast, the Milky Way forms about one new star a year.

"XMM-2599 may be a descendant of a population of highly star-forming dusty galaxies in the very early universe that new infrared telescopes have recently discovered," said Danilo Marchesini, an associate professor of astronomy at Tufts University and a co-author on the study.

"We have caught XMM-2599 in its inactive phase," Wilson said, who led the W. M. Keck Observatory data acquisition
Co-author Michael Cooper, a professor of astronomy at UC Irvine, said this outcome is a strong possibility.

"Perhaps during the following 11.7 billion years of cosmic history, XMM-2599 will become the central member of one of the brightest and most massive clusters of galaxies in the local universe," he said.

"Alternatively, it could continue to exist in isolation. Or we could have a scenario that lies between these two outcomes," he stated.

The study was supported by grants from the National Science Foundation and NASA.

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Agencies
June 10,2020

US dictionary Merriam-Webster will update the meaning of the word "racism" after being contacted by a Missouri black woman, who claimed the current definition fell short of including the systematic oppression of people of colour, according to media reports.

"A revision to the entry for racism is now being drafted to be added to the dictionary soon, and we are also planning to revise the entries of other words that are related to racism or have racial connotations," according to a statement of the 189-year-old dictionary shared by Kennedy Mitchum, a recent graduate of Drake University in Iowa, on her Facebook.

Mitchum, 22, emailed the dictionary last month, following the death of African American George Floyd in the custody of four Minneapolis police officers, Xinhua news agency reported.

"I kept having to tell them that definition is not representative of what is actually happening in the world," Mitchum told CNN. "The way that racism occurs in real life is not just prejudice, it's the systemic racism that is happening for a lot of black Americans."

Merriam-Webster's first definition of racism is "a belief that race is the primary determinant of human traits and capacities and that racial differences produce an inherent superiority of a particular race."

"It's not just disliking someone because of their race," Mitchum wrote in a Facebook post on Friday. "This current fight we are in is evidence of that, lives are at stake because of the systems of oppression that go hand-in-hand with racism."

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Agencies
May 17,2020

As millions of people get hooked to online dating platforms, their proliferation has led to online romance scams becoming a modern form of fraud that have spread in several societies along with the development of social media like Facebook Dating, warn researchers.

For example, extra-marital dating app Gleeden has crossed 10 lakh users in India in COVID-19 times while dating apps like Tinder and Bumble have gained immense popularity.

According to researchers from University of Siena and Scotte University Hospital led by Dr Andrea Pozza, via a fictitious Internet profile, the scammer develops a romantic relationship with the victim for 6-8 months, building a deep emotional bond to extort economic resources in a manipulative dynamic.

"There are two notable features: on the one hand, the double trauma of losing money and a relationship, on the other, the victim's shame upon discovery of the scam, an aspect that might lead to underestimation of the number of cases," the authors wrote in a paper published in the journal Clinical Practice & Epidemiology in Mental Health.

Around 1,400 dating sites/chats have been created over the last decade in North America alone. In the UK, 23 per cent of Internet users have met someone online with whom they had a romantic relationship for a certain period and even 6 per cent of married couples met through the web.

"The online dating industry has given rise to new forms of pathologies and crime, said the authors.

The results showed that 63 per cent of social media users and 3 per cent of the general population reported having been a victim at least once.

Women, middle-aged people, and individuals with higher tendencies to anxiety, romantic idealization of affective relations, impulsiveness and susceptibility to relational addiction are at higher risk of being victims of the scam.

Online romance scams are, in other words, relationships constructed through websites for the purpose of deceiving unsuspecting victims in order to extort money from them.

The scammer always acts empathetically and attempts to create the impression in the victim that the two are perfectly synced in their shared view of life.

"The declarations of the scammer become increasingly affectionate and according to some authors, a declaration of love is made within two weeks from initial contact," the study elaborated.

After this hookup phase, the scammer starts talking about the possibility of actually meeting up, which will be postponed several times due to apparently urgent problems or desperate situations such as accidents, deaths, surgeries or sudden hospitalizations for which the unwitting victim will be manipulated into sending money to cover the momentary emergency.

Using the strategy of "testing-the-water", the scammer asks the victim for small gifts, usually to ensure the continuance of the relationship, such as a webcam, which, if successful, leads to increasingly expensive gifts up to large sums of money.

When the money arrives from the victim, the scammer proposes a new encounter.

The request for money can also be made to cover the travel costs involved in the illusory meeting. In this phase, the victim may start having second thoughts or showing doubt about the intentions of the partner and gradually decide to break off the relationship.

"In other cases, the fraudulent relationship continues or even reinforces itself as the victim, under the influence of ambivalent emotions of ardor and fear of abandonment and deception, denies or rationalizes doubts to manage their feelings," said the study.

In some cases, the scammer may ask the victim to send intimate body photos that will be used as a sort of implicit blackmail to further bind the victim to the scammer.

Once the scam is discovered, the emotional reaction of the victim may go through various phases: feelings of shock, anger or shame, the perception of having been emotionally violated (a kind of emotional rape), loss of trust in people, a sensation of disgust towards oneself or the perpetrator of the crime and a feeling of mourning.

"Understanding the psychological characteristics of victims and scammers will allow at-risk personality profiles to be identified and prevention strategies to be developed," the authors suggested.

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