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Abstract Background Analysis of the biomedical workforce and graduate education have produced recommendations for modifications of pre-doctoral training to broadly prepare trainees for wider ranging scientific careers. Development of training in professional skills is widely recommended, but details of implementation are not widely available. In alignment with these recommendations, we have incorporated professional skills training into the biomedical science graduate curriculum at West Virginia University. An important component of the training is developing conflict resolution and negotiation skills. This training will provide useful skills for academic careers, non-academic careers and life situations outside of the workplace. Conflict resolution/negotiation skills are also relevant in managing issues in diversity, equity and inclusivity. We report our experience in developing this component of the training program, provide an overview of the approach to delivery and practice of skills, and provide an analysis of the reception and effectiveness of the training. Methods Evaluation of effectiveness of training used the principals of the Kirkpatrick Four Level Model of Evaluation. At the end of the course, students completed a questionnaire about their perceptions of training and were asked how they would respond to different scenarios requiring conflict resolution/negotiation skills. Several months later, students were surveyed to determine if they used some of these skills and/or witnessed situations where these skills would be useful. Results We report our experience in developing conflict resolution/negotiation training in our graduate curriculum, provide an overview of the approach to delivery and practice of skills, and provide an analysis of the reception and effectiveness of the training. The results suggest this training meets a need and is effective. Importantly, these materials provide a template for others wishing to implement similar training in their curricula. Conclusions Conflict resolution and negotiation training meets a need in graduate education. A mixed approach using didactic and interactive components spaced out over time appears to be an effective method of training.
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Teamwork Conflict Management Training and Conflict Resolution Practice via Large Language Models
This study implements a conflict management training approach guided by principles of transformative learning and conflict management practice simulated via an LLM. Transformative learning is more effective when learners are engaged mentally and behaviorally in learning experiences. Correspondingly, the conflict management training approach involved a three-step procedure consisting of a learning phase, a practice phase enabled by an LLM, and a reflection phase. Fifty-six students enrolled in a systems development course were exposed to the transformative learning approach to conflict management so they would be better prepared to address any potential conflicts within their teams as they approached a semester-long software development project. The study investigated the following: (1) How did the training and practice affect students’ level of confidence in addressing conflict? (2) Which conflict management styles did students use in the simulated practice? (3) Which strategies did students employ when engaging with the simulated conflict? The findings indicate that: (1) 65% of the students significantly increased in confidence in managing conflict by demonstrating collaborative, compromising, and accommodative approaches; (2) 26% of the students slightly increased in confidence by implementing collaborative and accommodative approaches; and (3) 9% of the students did not increase in confidence, as they were already confident in applying collaborative approaches. The three most frequently used strategies for managing conflict were identifying the root cause of the problem, actively listening, and being specific and objective in explaining their concerns.
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- PAR ID:
- 10521017
- Publisher / Repository:
- MDPI
- Date Published:
- Journal Name:
- Future Internet
- Volume:
- 16
- Issue:
- 5
- ISSN:
- 1999-5903
- Page Range / eLocation ID:
- 177
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.3390/fi16050177
