MScHROM · EXPERIENTIAL LEARNING
Academic year 2025–26 | 22 November 2025 · WYL and LKK classrooms, Lingnan University
HROM and ATB Leadership Training Day took place on 22 November 2025 in Lingnan University’s WYL and LKK classrooms. The shared learning activity brought together the two programme communities around leadership development and the practical design of training.
These published reflections describe individual teams’ experiences and observations.
Adapted from CHEN Zhu’s student reflection · MScHROM Mainstream Group H · Published 31 December 2025
Mainstream Group H designed an “Effective Communication” workshop around art-exhibition planning for ATB students. Their aim was to make clear expression, careful listening and information checking tangible through a three-word icebreaker and an exhibition-instruction relay.
Consultation with Prof. Nina Xie prompted the team to replace generic examples with situations relevant to the learners. Rehearsal helped six members settle their facilitation, timing and observation roles and identify problems with instructions, equipment and scoring.
After working with the first learner group, the team adjusted its pacing for the second session. CHEN Zhu’s account describes how designing, facilitating and reviewing an activity changed the team’s understanding of its responsibilities as future HR professionals.
The team’s account also shows why training needs rehearsal: lengthy instructions and unclear rules can hinder participation.
Adapted from Caspar LU’s student reflection · HRADT Group 2 · Published 23 December 2025
HRADT Group 2 developed negotiation training for ATB learners, drawing on earlier VirtualSpeech practice. Caspar LU’s reflection explains how the team adapted an English-language starting point into a Chinese dialogue activity built around an exhibition curator and an art gallery.
The team used structured AI prompts to review negotiation transcripts against conflict management, emotional control, goal attainment and language clarity. Student facilitators then interpreted the feedback alongside their observations, connecting specific comments with possible changes in approach.
Learner feedback challenged the fairness of some game mechanics and the restrictions of detailed scripts. Judges recommended more guidance at key moments. These suggestions gave the team concrete questions for refining its next design.
The experience left the team considering how to balance AI-generated evaluations with fair, inclusive design and professional judgement.