This paper demonstrates that when education programs are delivered as if all students have identical learning styles and needs, the students with unique learning styles are put at a disadvantage. On the other handed the authors also describe how the application of digital technology, in particular, the Internet of Things (IoT), is making inclusion possible and democratized education affordable.
This research provides data driven insights that can be used by engineering educators to better understand distinct segments of undergraduate students. Three clusters emerged that delineated students into three distinct typologies: Steadiness Compliance (SC); Influencing Steadiness (IS) and Dominance Influencing (DI) typology. This affirms once again that students are unique and individual differences require different teaching and learning approaches.
The following TTISI Style Insights Technical Manual Version 1.0 contains information on the history and development of our behavioral assessment, from its beginnings to current implementation. Included are a host of mathematical, statistical, and psychometric analyses used to establish evidence of validity and reliability of this TTISI assessment. The reader interested in all the details is encouraged to read the manual in its entirety. However, if the reader is interested in the final results, one should focus on Section 16, which serve as a summary of what has been presented elsewhere in this work as well as thoughts for future projects and studies. Appendix B, starting on page 176, presents results from our logistic regression approach to O’NET occupational title identification through the Style Insights variables.
To prosper in the Industry 4.0 ecosystem, individuals and organizations will be required to develop 21st century skill sets. This research seeks to identify emerging trends, pinpoint challenges and gain data-driven insights into the forces shaping the technical talent pipeline of Industry 4.0 in the United States. To successfully navigate the Industry 4.0 environment (and beyond), organizations will need to integrate four different generations (soon to be five) in their workforce. Next-Generation Leaders were found to be lacking in creativity and innovation and conceptual thinking, critical skills required in navigating an Industry 4.0 environment. This should serve as a wake-up call to educators tasked with overhauling an antiquated system, particularly at the graduate level. Based on responses to a series of questions using the TTI TriMetrix DNA assessment suite a data-driven, validated assessment instrument, this research presents an overview of the development of 25 professional competencies that contribute to superior performance.
Effective interdisciplinary research (IR) teams require skills of collaboration, sharing, and abilities to integrate knowledge from diverse disciplines. Pre-post data was collected using three learning modules designed to support the development of collaboration and teamwork skills in the context of IR. Results showed (1) participants learned and practiced essential collaborative skills in authentic contexts; (2) training modules were valued and helped participants recognize the important role that personal dispositional characteristics have on IR teams; (3) participants’ confidence in adapting to differences among team members increased; and (4) participants recognized that effective collaboration requires intentionality. This paper also introduces the concept of dispositional distancing.