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Skills4Industry

Digital Transformation Mental Models

The Role of Educators

Educators are looked upon by communities globally to reduce anxieties and uncertainties resulting from change, historically. Especially when such change is transformative and results in fundamental shifts in existing paradigms across all spheres of human connections. As societies grapple with mastery of the skills required for informed applications of the feature-rich end-user devices, educators must be sufficiently proficient in the architectural building blocks to stay ahead of the rapid change. Business models based on “this vs. that ” for market share resulting in extreme polarization of societies globally can benefit immensely from mastery of the application of the mental model of “If Not This, Then That” the culture that informed digital transformation in the first place. Crucial elements of Skills4Industry provide a structure for reasoning that ensures background knowledge of contexts of competence, mastery, and outcomes are based on an inferably important logic of integrative capabilities. Interpretation and reasoning Mental Models within the domain of integrative capabilities require complex bridging inferences with data through a systemic process enabling discovery and justification. Skills4Industry is a highly dynamic model for capturing, interpreting actions, preferences, behaviors, creativity, and performance. Skills4Industry adapts to continuously changing contexts for establishing a cognitive structure that forms the basis of reasoning and decision making.

As a catalyst for change, Skills4Industry Mental Model aligns with the logic that individuals, groups, and communities will have better options for change with robust connections, embedded with mindfulness and empathy.

Easy access to always-on media tools in smartphones for broadcasting opinions and ideas worldwide are today sources of individualized truths without filters, but convictions. The resulting low levels of communal trust between institutions and citizens globally require interdisciplinary action important to the mastery of critical mental models of transformational change. 

Digital transformation is characterized by a high value for data due to its share-ability resulting in reusability and adaptability. These high-value factors ensure most personal, communal, and business decision-making will be based on data captured from connected devices that are always on. The extensive media tools in connected devices make every human with a smartphone, tablet, or computer a media content producer and important data source. 

Should we insert logic into data from multiple cultures globally about a universal subject, to have a universal interpretation of virus variants for example, with the properties of the vaccines to localize treatment?  

The Mental Model of spatial mapping of human cognition and capabilities establishes conceptual content of cognitive maps for individuals to identify concepts important to the mastery of their subject matter domains. Change is necessitated by a widely held notion of the materiality of the implications of legacy systems’ continued relevance. We were taught statistically that the crowd is always right, for example, we know today sentiments can be manipulated on social media.

Data bias attributable to false dichotomy relied on for centuries to push specific agendas using statistical labels and percentages to improve believability are today a nightmare to data scientists. False dichotomy impact on reasoning deepen polarization when populations are categorized by sub-urban, City, rural, white-collar, blue-collar, inner City, Outer City, and the like result in data bias. These characterizations may bring about unexpected consequences from artificial intelligence-powered machines trained by the data produced by humans. What is required is a synthesis of theories and methods aimed at the successful integration of digital transformation into global societies without the negative implications of its early adoption stage we are currently witnessing.

The current ‘this vs. that’ impacts enterprise digital transformation landscape cultures negatively, glaring examples are in the amount of shared and re-shared data containing ideas of original thought. Reward systems incentivizing known positive transformative corporate culture diffusion are some of the hypotheses educators should test.

“If the organism carries a small scale model of external reality and its own possible action within its head, it is able to try out various alternatives, conclude which is the best of them, react to future situations before they arise, utilize the knowledge of past events in dealing with the present and the future, and in every way to react in a more fuller, safer, and a more competent manner to the emergencies that face it.” (Kenneth Craik, 1943)

A lot of time family positions are embedded in packed school bags that teachers must unpack for true learning to take place. While teachers often find themselves in the crosshairs of student populations with differing family beliefs.

Exploring the cognitive representation of societal realities pre-and-post COVID-19 using cognitive mapping as a tool to draw on integrative competence in familiar domains like life skills, academic and work tasks is an important example. Participatory modeling offers tools to study the causal dynamics of human capabilities achieved through integrative competence, to ensure we can impart safe application knowledge. Other tools include spatial mapping based on photo interpretation of concepts of competencies, which can be used to demonstrate the benefits of taxonomies to taking what is learned from one context to another. A learning reinforcement for measuring our ability to apply knowledge and skills using understanding. Digital transformation technology is a filter for human confirmation bias, which easily reinforces existing beliefs. The test commonly applied by data scientists today, for example, is when these beliefs reinforce the fears of opposing ideas, they should be out-rightly rejected during data cleansing. Should we only seek data that fit our current understanding of the world? Do the cognitive limitations associated with the actual representation of reality impact our knowing-how? 

We will explore solutions to these multi-disciplinary subjects in Skills4Industry upcoming digital transformation in education program – Register Here!

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