Project

Cognitive Social Learning Theory as a theoretical basis for developing a true science of engagement

Goal: Show that Julian Rotter's law {BP = f(E, VR)} and Bandura's laws of self-reinforcement and modeling (and especially Reciprocal Determinism) are still relevant today and can be used as theoretical constructs to explain high levels of user engagement on social media sites. A primary focus of the research include objectively measuring the effects of cognitive social learning and Rotter's theory of self-efficacy in designing successful gamification strategies used to drive higher levels of engagement.

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Project log

Alfred Nigl
added a research item
Describes in detail how the CRISP-DM process guides the collection and organization of all data collected from the various businesses (i.e., planets) which exist within the Skylab universe.
Alfred Nigl
added 3 research items
Explains how Skylab USA has adapted SDT and Contextual Gamification to enhance the performance of its planets (business units) that focus on exercise and fitness
Review of Skylab USA's apps retention rates compared to global app retention data
Alfred Nigl
added 2 research items
Presents Skylab USA's VRS or Value Reinforcement Model as an alternative to using game theory to motivate app users to become highly active and engaged on a social media platform.
Describes how Skylab USA has modified game theory to optimize user engagement behavior
Alfred Nigl
added an update
Skylab USA collects a large quantity of user behavioral data and employs the CRISP_DM model to help organize and categorize this data in preparation for analysis.
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Alfred Nigl
added an update
Research references compiled and added to original document
 
Alfred Nigl
added an update
Corrected version
 
Alfred Nigl
added an update
Dean Grey and I have completed the first draft of our white paper explaining how the previous work on social-cognitive learning and self-efficacy (as developed by Albert Bandura, Julian Rotter and their colleagues) may provide a scientific basis for social media engagement behaviors especially those that are observed in a gamified platform such as Skylab (www.skylab.world, www.skylabapps.com)where the law of behavior potential (BP = f (E, VR) can be used to explain high levels of user engagement.
Many authors mention the science of engagement but in reality there is no formal science of engagement, our contention is that what is called the science of engagement can be best understood by studying the theories, laws and extensive research on social-cognitive learning including modeling, self-reinforcement, self-efficacy and related concepts. We are currently planning a series of research studies on the users of the different versions of the skylab platform in an attempt to validate our theory.
Dr. Alfred Nigl is Chief Data Scientist for Skylab and Dean Grey is the founder and creator of the Skylab social networking platform.
 
Alfred Nigl
added a project goal
Show that Julian Rotter's law {BP = f(E, VR)} and Bandura's laws of self-reinforcement and modeling (and especially Reciprocal Determinism) are still relevant today and can be used as theoretical constructs to explain high levels of user engagement on social media sites. A primary focus of the research include objectively measuring the effects of cognitive social learning and Rotter's theory of self-efficacy in designing successful gamification strategies used to drive higher levels of engagement.