Challenging goals and specific feedback are indispensable for individuals and teams to manage and enhance their performance. Both goals and feedback are needed: one does not work without the other. Neither will work unless they are based on valid and controllable performance measures.
Ad Kleingeld is an assistant professor in the Human Performance Management (HPM) group at the faculty of Industrial Engineering & Innovation Sciences at Eindhoven University of Technology (TU/e). His research interests include work motivation in general, and specifically goal-setting and feedback interventions to enhance performance of individuals and teams. One of his key studies is a meta-analysis on the effects of goal setting on group performance. He is an expert in the Productivity Measurement and Enhancement (ProMES) method, an evidence-based application of several key theories in organizational psychology. Other research interests include the effects of personality, goal orientations and subconscious goals on performance. Although his research has largely focused on enhancing work performance, recent research is also aimed at identifying student-related predictors of academic success in STEM university programs.
Ad Kleingeld obtained his PhD in 1994 at TU/e; his thesis focused on the design of performance management systems for teams. Prior to this, he received an MSc in Industrial Engineering and Management Science. Ad has published in journals such as Journal of Applied Psychology, Journal of Organizational Behavior, and The Journal of Experimental Education. Ad has been teaching courses in Work & Organizational Psychology and design of performance management systems, as well as supervising student projects at the bachelor’s and master’s levels for over 20 years. From 2004 to 2014 he was the education coordinator of the HPM group. In 2015, he was appointed project leader of the Study Choice Check for prospective students of the bachelor programs at TU/e. The skills and motivation questionnaire that is at the core of this project was based on the findings of a three-year study on predictors of academic success and drop-out among Industrial Engineering and Technical Innovation Sciences students at TU/e.
The effect of subconscious performance goals on academic performanceThe Journal of Experimental Education (2017)
Approach and avoidance temperament: an examination of its construct and predictive validity at workEuropean Journal of Psychological Assessment (2017)
Predicting student performance from LMS data: a comparison of 17 blended courses using Moodle LMSIEEE Transactions on Learning Technologies (2017)
- Research assignment for exchange students
- Designing effective performance management systems
- Designing business processes
- Afstudeerbegeleiding in MBA programma, Open Universiteit