Culture & Mental Models
Crucial elements of Skills4Industry provide a structure for reasoning by ensuring background knowledge of contexts of competence, mastery, and assessment based on an inferably important logic of capabilities.
Interpretation and reasoning Mental Models within the domain of 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 connectedness.
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 constituted authorities 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 reusability and adaptability. These high-value factors ensure most personal, communal, and business decision-making will be characterized by data captured from connected systems that are always on. The extensive media tools in connected devices make every human with a phone, tablet, or computer a media content and data source.
Should we just insert logic to process 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 deal with them?
This course uses the Mental Model of spatial mapping of human cognition and capabilities to establish conceptual content of cognitive maps for individuals to identify concepts important to the mastery of their domains. Change is necessitated because the widely held notion is that the materiality of the implications of legacy systems cannot be the problem, but this is incorrect. We know today sentiments can be manipulated on social media using digital transformation technologies. Thus the crowd is no longer always right.
Using data bias resulting from elements of false dichotomy relied upon when pushing specific agendas like statistical labeling and percentages often used to improve the believability of skewed referenced data results in a nightmare to data scientists. The amplification of data based on false dichotomy resulting from population categorization into Suburbans, City, rural, white-collar, blue-collar, inner City, Outer City, and the like result in data bias. The ensuing characterization may result in unexpected consequences from artificial intelligence-powered machines trained by the data produced by humans. This course represents a synthesis of theory and methods aimed at the successful integration of digital transformation into global societies without the negative implications of its early adoption 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 digital transformation corporate cultural diffusion are some of the hypotheses to be tested.
Critical Thinking can be defined as a form of reflective reasoning which emphasizes the logical connection of ideas within a sound structure. As a field within Digital Transformation, critical thinking involves the analysis and evaluation of the content of data to extract the embedded reasoning, logic, and argument. Critical thinking application within Digital Transformation offers a set of tools for making logical connections across data to establish patterns important to better decision making. This course provides a set of tools to help learners develop mastery of work tasks across the Digital Transformation technology solutions landscape.
Critical thinking is important to the development of a range of intellectual skills because it is important to the application of reasoning for developing mastery of clear, logical, and coherent judgments (conclusions) within a given context. While examining the intent of communication, learners will develop mastery of aligning virtualization requirements with the purpose of a business, department, or team. They will identify structural constraints in the extraction of a set of premised values for use as keywords and tags categorized under concepts of integrative competence for establishing composition leading lines resulting in patterns, a tool-set for problem-solving. Critical thinking is also important to the mastery of arguments with a range of tools important to other subjects. In this course we will cover the following topics:
Interpretation & Reasoning
Conceiving Complex Systems
Shared & Team Mental Model
Computational Structure of Mental Models
Causal Dynamics of Knowledge
Mental Model Elicitation In Digital Transformation
Diagrammatic Representation of Learned Skills
Spatial Mapping & Artificial Intelligence