Soft Skills for Work and Employment

Soft skills for work and employment to complement technical skills have been recently highlighted, again, by a Deloitte Australia media release, following is a summary.

Soft skills for work and employment have been recently highlighted, again, by a Deloitte media release.

Soft Skills for Work (Image copyright Pexels)

 

While the future of work is human, Australia faces a major skills crisis – The right response can deliver a $36 billion economic bonus

12 June 2019: With skills increasingly becoming the job currency of the future, a new Deloitte report finds that the future of work has a very human face. Yet Australia is challenged by a worsening skills shortage that requires an urgent response from business leaders and policy makers.

The path to prosperity: Why the future of work is human, the latest report in the firm’s Building the Lucky Country series:

  • Dispels some commonly held myths around the future of work
  • Uncovers some big shifts in the skills that will be needed by the jobs of the future
  • Reveals that many key skills are already in shortage – and the national skills deficit is set to grow to 29 million by 2030
  • Recommends that businesses embrace, and invest in, on-the-job learning and skills enhancement
  • Finds that getting Australia’s approach to the future of work right could deliver a $36 billion national prosperity dividend.

 

Employment Myths busted

The report dispels three myths that tend to dominate discussions around the future of work.

Myth 1: Robots will take the jobs. Technology-driven change is accelerating around the world, yet unemployment is close to record lows, including in Australia (where it’s around the lowest since 2011).

Myth 2: People will have lots of jobs over their careers. Despite horror headlines, work is becoming more secure, not less, and Australians are staying in their jobs longer than ever.

Myth 3: People will work anywhere but the office. The office isn’t going away any time soon, and city CBDs will remain a focal point for workers.

 

The big skills shift ahead: from hands…to heads…to hearts

 

“That today’s jobs are increasingly likely to require cognitive skills of the head rather than the manual skills of the hands won’t be a surprise,” Rumbens said. “But there’s another factor at play. Employment has been growing fastest among less routine jobs, because these are the ones that are hardest to automate.”

More than 80% of the jobs created between now and 2030 will be for knowledge workers, and two-thirds of jobs will be strongly reliant on soft skills.

 

Critical skills and the multi-million gap

 

As work shifts to skills of the heart, Rumbens said the research reveals that Australia already faces skills shortages across a range of key areas critical to the future of work.

“These new trends are happening so fast they’re catching workers, businesses and governments by surprise,” Rumbens said.

At the start of this decade, the typical worker lacked 1.2 of the critical skills needed by employers seeking to fill a given position. Today, the average worker is missing nearly two of the 18 critical skills advertised for a job, equating to 23 million skills shortages across the economy.

 

The business response?

 

Rumbens said that getting ahead of the game will require concerted action.

The report includes a series of checkpoints business leaders and policy makers, can use to inform, and drive action. These include:

  • Identify the human value – Identify which jobs can be automated, outsourced to technology such as AI, and which are uniquely human. Use technology to improve efficiency, and increase the bounds of what’s possible.
  • Forecast future skills needs – Understand the skills, knowledge, abilities and personal characteristics of your employees.
  • Re-train, re-skill, and re-deploy – People represent competitive advantage. Consider alternatives to redundancy such as re-training, re-skilling or re-deploying as options to support existing workers reach for new opportunities.
  • Involve people – The people who do the work are often the best placed to identify the skills they require to succeed. Find ways to involve employees in the design and implementation of learning programs.
  • Talk about technology honestly – Engage in an honest dialogue about the impacts of technology to support staff and generate new ideas for managing change.
  • Manage the robots – Introduce digital governance roles to evaluate the ethics of AI and machine learning, alongside existing frameworks.
  • Use mentoring and apprenticeships – Micro-credentialing holds the key to unlocking the value of emerging job skills, while apprenticeship models are re-emerging as an effective way for business to develop a future-ready workforce.
  • Recruit and develop social and creative skills – Recognise and reward social skills such as empathy, judgement, and collaboration when recruiting and developing workers.

 

For more articles and blogs about soft skills and adult learning click through.

 

University Education – Student Teacher Tutors or Professors?

Interesting article from The Conversation regarding university tutorial teaching or tutoring quality, students or academics?  The glib answer would be neither form of pedagogy, in fact ‘andragogy’ for adult learners shows that many should be learning together as students, not through teacher centred direction.

Can students teach as well as professors?

Student Tutorial Teachers or Professors? (Copyright image Pexels)

Research shows students are as good as professors in tutorial teaching

February 19, 2019 5.23pm AEDT

Professors and graduate students are at opposite ends of the university hierarchy in terms of experience, qualifications and pay. But at many universities, both do the same job: they teach tutorials offered in parallel with lectures.

Our research explores whether it makes sense for professors to teach tutorials – and we found it doesn’t. They are no more effective as tutorial instructors than students.

This finding implies that universities can reduce costs or free up professors’ time by asking students to teach more tutorials.

Measuring instructors’ effectiveness

We conducted a survey about tutorial instruction in OECD universities. Our results show that tutorials are used in 63% of OECD universities. At 25% of these institutions, tutorials are taught by students, 29% by professors and 46% by a mixture of the two.

Using professors to teach small groups is expensive, and reducing costs is a central concern given the increases in tuition fees and student debt.

We have studied the costs and benefits of using tutorial instructors with different academic ranks, using data from a Dutch business school that offers four key features. First, tutorials are taught by a wide range of instructors, ranging from bachelor’s students to full professors. Second, the school’s dataset is large enough (we observe more than 12,000 students) to give us enough statistical power to detect even small differences between instructors.

Third, at this business school students are randomly assigned to instructors of different academic ranks, creating a perfect experiment for seeing whether academic rank matters. Finally, we were able to supplement these already excellent data with measures of students’ satisfaction with the course, and students’ earnings and job satisfaction after graduation, for some of these students. This is important since instructors might matter in many ways and we need to cast a wide net to capture a range of student outcomes.

Students just as effective

Overall, our results show that lower-ranked instructors teach tutorials as effectively as higher-ranked ones. The most effective instructors – postdoctoral researchers – increase students grades by less than 0.02 points on a 10-point grade scale compared with student instructors. The differences between all other instructor types, from student instructor and full professor, is smaller than that.

Full professors are also no better than student instructors in improving students’ grades in the next related course or job satisfaction and earnings after graduation. We do, however, find that higher-ranked instructors achieve somewhat better course evaluations, but these differences are small.

These findings are counter-intuitive. Yet they are consistent with the general findings in primary and secondary education that formal education does a poor job at predicting who teaches well.

What could be the reason why all the extra qualification and experience of professors does not translate into better results for their students? The content of tutorials might be adjusted in a way that students can easily teach them. Further, lower-ranked instructors may compensate for their lack of experience by being better able to relate to students and being more motivated.

Key implication

The implications of our findings are obvious. Universities can free up resources by not asking their most expensive staff to do a job that students can do equally well. We show that the business school we study can reduce the overall wages they pay to tutorial instructors by 50% if they only employ student instructors.

There are, of course, reasons why universities might not want to exclusively rely on student instructors. Students might not be able to teach some more technically advanced master’s courses. There might be some research-inactive but tenured professors whose most valuable use of time is tutorial teaching. And, as with other research that rely on data from one institution, future studies need to show whether our results hold in other universities as well.

But even if these studies uncover some benefits to students of being taught by a professor, we would be surprised if these are worth the extra costs.’

 

Unclear what is quality teaching and learning? Higher education or universities put great importance upon narrow and high-level specialised knowledge exemplified by a doctorate, i.e. content or subject matter expert. Further, the vocational Certificate IV of Training & Assessment TAE40116 is included on many job descriptions as a desirable teaching qualification and meanwhile ‘real world’ experience can be ignored by institutions and/or embellished by the beholder (unlike the ID points system, all factors are not taken into account).

Related issues here, theory of teaching and learning, pedagogy (for children) is cited but for adults we should be speaking about andragogy.  Andragogy of adult education focuses upon adults’ need for knowledge, motivation, willingness, experience, self-direction and task-based learning.

Good instructional or learning design for adult centred learning:

  • broad and deep needs analysis based on learners’ knowledge, expertise and real skill gaps
  • motivated when they have input and some control over learning, activities and outcomes
  • participate in learner centred activities, interaction and social learning
  • opportunities to contribute knowledge, expertise and reflect on their business practice
  • contribution to and management of learning activities through tasks and problem solving; post course too.

A more complete qualification is the UK Cambridge RSA CELTA or TEFLA, especially behavioural theories fitting ‘andragogy’, including teaching skills, and dealing with significant numbers of adult students for whom English is not their first language.

Another issue to emerge has been that of ‘ID Instructional Design’ on behalf of university teachers, but not based upon subject matter or teach/learning skills (when ID is implicit for any competent teacher).

Finally, explaining in terms of cost (cutting or savings) may seem mercenary when high fees are now the norm for most students.

 

Student Evaluations in Higher Education and Universities

While student evaluations or ‘happy sheets’ become routine in higher education and universities, some question both effectiveness and efficiency in using such instruments to assess quality. Further, what is quality in teaching, learning, assessment, technology, administration and student well-being, then how and when should it be applied?

Student feedback and evaluations in higher education

Student Experience Feedback (Image copyright Pexels)

From the AIM Network Australia:

Mutual Decline: The Failings of Student Evaluation

November 30, 2018 Written by: Dr Binoy Kampmark

That time of the year. Student evaluations are being gathered by the data crunchers. Participation rates are being noted. Attitudes and responses are mapped. The vulnerable, insecure instructor, fearing an execution squad via email, looks apprehensively at comments in the attached folder that will, in all likelihood, devastate rather than reward. “Too much teaching matter”; “Too heavy in content”; “Too many books.” Then come the other comments from those who seem challenged rather than worn down; excited rather than dulled. These are few and far between: the modern student is estranged from instructor and teaching. Not a brave new world, this, but an ignorant, cowardly one.

The student evaluation, ostensibly designed to gather opinions of students about a taught course, is a surprisingly old device. Some specialists in the field of education, rather bravely, identify instances of this in Antioch during the time of Socrates and instances during the medieval period. But it took modern mass education to transform the exercise into a feast of administrative joy.

Student evaluations, the non-teaching bureaucrat’s response to teaching and learning, create a mutually complicit distortion. A false economy of expectations is generated even as they degrade the institution of learning, which should not be confused with the learning institution. (Institutions actually have no interest, as such, in teaching, merely happy customers.) It turns the student into commodity and paying consumer, units of measurement rather than sentient beings interested in learning. The instructor is also given the impression that these matter, adjusting method, approach and content. Decline is assured…

…Education specialists, administrators and those who staff that fairly meaningless body known as Learning and Teaching, cannot leave the instructing process alone. For them, some form of evaluation exercise must exist to placate the gods of funding and quality assurance pen pushers.

What then, to be done? Geoff Schneider, in a study considering the links between student evaluations, grade inflation and teaching, puts it this way, though he does so with a kind of blinkered optimism. “In order to improve the quality of teaching, it is important for universities to develop a system for evaluating teaching that emphasises (and rewards) the degree of challenge and learning that occurs in courses.” Snow balls suffering an unenviable fate in hell comes to mind.

Student feedback or evaluations are an essential part of assessing, maintaining and improving quality in education and training.  However, much research and expertise is required for such instruments to be used optimally for positive outcomes.

For more articles and blogs about higher education teaching, CPD continuing professional development, enrolled student feedback, evaluation, student satisfaction and university teaching skills, click through.

 

How Should Digital Marketing be Taught?

Marketing has changed significantly in the past ten or fifteen years due to digital channels and more services versus products.  This impacts not just what expertise or qualifications lecturer, teacher or tutor needs, but how marketing is taught in the classroom and coursebooks used e.g. inclusion of relevant digital content and a change in concepts.  Digital communication technology leverages word of mouth and horizontal communication while precluding control of messages.

Teaching, tutoring or lecturing for digital marketing

Digital Marketing Requires Different Teaching and Lecturing Expertise

Following is an introductory summary to teaching marketing round digital concepts in the classroom:

Marketing Digital Offerings Is Different: Strategies for Teaching About Digital Offerings in the Marketing Classroom.

Scott D. Roberts The University of the Incarnate Word, San Antonio, Texas, USA Kathleen S. Micken Roger Williams University, Bristol, Rhode Island, USA

‘Digital offerings represent different challenges for marketers than do traditional goods and services. After reviewing the literature, the authors suggest ways that the marketing of digital goods and services might be better presented to and better understood by students……. The authors also present specific suggestions for assignments and class discussions to foster students’ critical thinking about the marketing implications surrounding digital offerings.

When the U.S. economy shifted away from its manufacturing base, services marketing theory arose to help marketers deal with the unique nature of the increasingly intangible offerings (Berry 1980). More recently, the economy has shifted again, driven by digital technologies. Not only have products been digitized, but information and communication technologies have also made it possible to distance producers from consumers, both in space and time. Marketing practice has responded to this environmental change, but academic marketing thinking has not come as far.

We first became aware of the problem while teaching MBA students concentrating in digital media management. For their marketing management course, we used Kotler and Keller’s (2009) Marketing Management. Kotler’s work has arguably been one of the central repositories of marketing’s received theories and ideas. We quickly realized, however, that the discussion of the digital offerings that these students were so engaged with (film, music, and video games) was lacking……

…..How has the marketing discipline responded? Our purpose here is not to suggest that there has been a dearth of literature about the impact of digital technology but rather that there are significant gaps in the literature about how to address digital offerings conceptually….What is missing, however , are pedagogical proposals for teaching about the challenges of marketing digital offerings.

The need to fill this gap comes not only from marketing practice, but also from accrediting bodies. The 2013 Association to Advance Collegiate Schools of Business (AACSB) standards man date that business programs include learning experiences that help students understand the integration of information technology in business…. Clearly, it is time to equip our students with tools for understanding and embracing all things digital. And it is time to equip faculty with the tools to do so. Faculty are faced with students for whom digital offerings are pervasive, yet who need to learn how to market those offerings strategically…..

IHIP framework of Intangibility, Heterogeneity, Inseparability and Perishability

This IHIP paradigm, however, did not anticipate digital offerings. At its core, a digital offering is made up of data files (recorded ones and zeros) stored on either the drives/media of consumers or on the servers of marketers/facilitators (e.g., in the cloud). These files come together in the form of solutions (bundles of benefits) for consumers.

Many traditional offerings have become available digitally including maps, tax preparation, customer service, reference sources, higher education, and distance medical consulting….. when applying the IHIP framework to digital offerings, some significant differences arise, both in terms of the features of the offerings as well as the attendant marketing challenges…..

Digital technologies have become ubiquitous in marketing. In adjusting pedagogy to acknowledge these changes, marketing faculty have begun to incorporate more technology in the classroom, have begun to address the new options available to marketers for engaging with customers, and in some cases have created not only new courses but also new majors/concentrations.

External forces also propel this movement forward: accrediting agencies and organizations seeking interns and employees who understand the technology as well as how to use it strategically.

The production of unifying marketing frameworks has not always kept pace with the speed of digital business evolution, and thus marketing texts are not providing timely structures for conceptualizing these changes. This paper suggests ways faculty can effectively use the existing services marketing IHIP framework, but also presents the deviations from it necessitated by digital offerings.

Additionally, we offer suggestions for assignments and discussion probes to augment faculty presentations. Faculty may find the suggestions here helpful in organizing their own thinking about these issues, which in turn will help move the discipline forward.’

 

Kotler has recently published a related book ‘Marketing 4.0’ see Digital versus Traditional Marketing.

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ID Instructional Design Models in Education

Cognitivism and Connectivism Learning Theory page as part of an EdX Instructional Design course.

Cognitivism is student centred learning via an existing knowledge base and building upon it according to learner preferences, how they organise memory, how information is linked, learning how to learn, problem-solving and the student learning journey is supported by clear instructions and information (Hanna, 2017).

Further, there is the Three-Stage Information Processing Model including Sensory Register to assess inputs, Short-Term Memory where input can be stored e.g. 20 seconds and then Long-Term Memory and Storage retrievable by linkages that have been developed (Mergel, 1998).

Application of andragogy for adult learning versus pedagogy for school.

Adult Learning Theories in Higher Education (Image copyright Pexels)

Connectivism is like social learning through others or networks, identify patterns, knowledge based round networks and exemplified in complex learning e.g. round information and technology (Ibid.).

Both can be used for the same education and exemplars, by using both theories to support instructional design, student centred activity and learning, building upon knowledge and experience for inexact outcomes; as opposed to behavioural focus.

In the first case, cognitivism using a course e.g. ‘Introduction to Digital or e-Marketing for Small Business’,  focus upon one learning outcome, ‘ability to analyse (digital) marketing and communication’

Rather than present information or content activities which maybe new and/or overwhelming, assess the knowledge level before training, then drive instruction and achievement of learning objectives via learners and learner centred activity (but monitored an assessed closely).

Instructional Design for Adult Learners in ‘Introduction to Digital or e-Marketing for Small Business’:

Preview by using images to elicit key words, channels etc. related to conventional marketing and communication.

Presentation repeat preview to include digital also and elicit the elements.

Practice by learners listing both types of elements in a small business example marketing and communications; report back to class.

Production in pairs for their own business, assist each other, compare notes then present to each other/class.

Wrap-up Class discussion and/or milling activity to compare with other learners’ ‘production’ and feedback on key points, rules or issues.

Connectivism can be applied to the same course area and learning outcome, not just in the direct learning environment but post learning, i.e. back in the workplace and business environment.  Accordingly, if learners are mostly small business people, already responsible for marketing and communications and sharing a desire to improve application of digital in their business practice, they should be motivated for connectivism.

Within the formal learning, connectivism would fit cognitivism approach above, with symmetry in each phase, but especially with increase in learner interactivity with production and wrap up or review.  Connectivism can then also be followed up informally by learners remaining in communication with each other (e.g. WhatsApp or LinkedIn Group), industry sector networking opportunities and/or local chamber of commerce.

Andrew Smith Melbourne LinkedIn Profile

 

Reference List (Harvard):

 

Hanna, M. (2017) Learning Theory Matrix. Available at: https://pdfs.semanticscholar.org/8d28/2833c35fb8b9ea74bf2c930cea22fb1e0fad.pdf (Accessed on: 16 November 2017).

Mergel, B. (1998) Instructional Design & Learning Theory.  Available at: http://etad.usask.ca/802papers/mergel/brenda.htm#Cognitivism(Accessed on: 17 November 2017).