Volume 63: Issue 2

What attracted you to Performance Improvement (PI)/Human Performance Technology (HPT)/the ISPI?

My journey to ISPI began during my doctoral program in Instructional Design and Performance Technology. As part of my dissertation, I completed a real-world performance improvement project using the PI/HPT model for the Gulf Coast ISPI chapter. Shortly after beginning my project, I attended my first ISPI conference. I was drawn to the organization’s focus on the practice side of performance improvement and its genuine professional community.

What sets ISPI apart is its ability to create a genuine professional community. Unlike larger organizations, where members can feel lost in

Managing the flow of people (queue management) is a crucial task for many organizations. This case study examines the traffic flow during pick up and drop off times at a public middle school in the rural southeastern U.S. using a Human Performance Improvement (HPI) framework to address the problem of traffic backups when dropping off and picking up students. Environmental analysis revealed that carpool procedures were not well known and staff were underutilized. Recommendations included job aids and signage to inform parents of traffic procedures, efficient scheduling and use of school space, and utilization of the staff to assist with the carpool lane.

Our history is filled with examples of humanity’s resilience and adaptability in the face of technology challenges. Artificial intelligence (AI) brings significant potential for organizations’ productivity improvement and societal advancement. But it also comes with challenges, such as the potential displacement of 300 million jobs and the risks to our democracies, universal values, and way of life. However, AI cannot replace all human skills. The European Union, U.S. White House, and the International Organization for Standardization/International Electrotechnical Commission are establishing new guidelines that help define our roles and responsibilities in governing the implementation of responsible AI solutions. Using this set of guidelines, this position paper lays the foundation for a practical framework at the specific intersection of AI and performance improvement (PI). The proposed framework provides actionable principles and process steps to blend AI as an integral part of PI interventions while ensuring that PI professionals anticipate the potential negative impact of AI.

There are areas of the current U.S. political system that are fit for the implementation of machine learning capabilities. Some of these areas include election forecasting, polling, and vote-by-mail services. The introduction of machine learning tools to the components of the U.S. political system can result in increases in efficiency and accessibility throughout the sector. By doing so, there would be an assumed decrease in necessary labor. This research analyzed the specified areas of U.S. politics by establishing a four-step framework based on a previous exploratory case study into the application of machine learning to operations management and adjusted said framework to fit the needs of the nature of U.S. politics. This framework was utilized to determine the objectives to which machine learning would be applied within this sector. As well, it serves to guide the technology or strategies necessary to achieve those objectives, illustrate the effect on performance and on stakeholders. This analysis introduces valuable insights for any decision makers as well as providing an accessible and informative review of some of the potential applications of machine learning in the existing U.S. political system.

VALUING TIME TO REFLECT

SPECIAL FEATURE: KNOW YOUR COLLEAGUES: INTERVIEW WITH LYNNE MACBAIN

What attracted you to Performance Improvement (PI)/Human Performance Technology (HPT)/the ISPI?

IMPROVING SCHOOL TRAFFIC FLOW: A HUMAN PERFORMANCE IMPROVEMENT CASE STUDY

A FRAMEWORK TO IMPLEMENT EFFECTIVE, SUSTAINABLE HUMAN-CENTERED ARTIFICIAL INTELLIGENCE SOLUTIONS

APPLYING MACHINE LEARNING IN THE U.S. POLITICAL LANDSCAPE: FORECASTING, POLLING, AND THE DOMESTIC SUPPLY CHAIN

THE BENEFITS OF ISO 9001 CERTIFICATION FOR SMALL TO MEDIUM-SIZED ENGINEERING FIRMS

MENTORING INSTRUCTIONAL DESIGNERS IN HIGHER EDUCATION: A NEEDS ASSESSMENT

COGNITIVE ARBITRAGE: THE OUTSOURCING OF INTELLIGENCE

OPTIMIZING PERFORMANCE IN THE REFRIGERATION INDUSTRY: AN HPT APPROACH

SPECIAL FEATURE: KNOW YOUR COLLEAGUES

LIFE, A FULL CIRCLE? FROM WINNING THE ISPI CASE STUDY COMPETITION TO JUDGING IT! REFLECTION OF THE PAST AND THE PRESENT

FROM THEORY TO PRACTICE—SHAPING THE FUTURE OF PERFORMANCE IMPROVEMENT

LEVERAGING HPT TO ENHANCE HVAC TECHNICIAN RETENTION: A MULTISITE CASE STUDY

OPERATIONS MANAGEMENT STRUCTURE APPLIED IN PRICING RATE DESIGN IMPLEMENTATION

BEING RESPONSIVE IN TIMES OF CHANGE

VALUING TIME TO REFLECT

SPECIAL FEATURE: KNOW YOUR COLLEAGUES: JACK PHILLIPS AND PATTI PHILLIPS

EDITOR'S NOTES