At the conclusion of the data action model, it only seemed rational to briefly revisit the essential elements of the process. This to me was an important goal for data meeting #5–evaluating effectiveness and deciding on the next course of action.
Venables (2014, p.83) suggests that for data meeting #5 the team members “evaluate the extent to which they reached their Target Learning Goal and decide what to do next.” This is because, before data meeting # 5, most of the implementation has taken place; in fact, the implementation of the data action plan takes place throughout the data action model as the teacher team gains new knowledge and effective ways to drive instruction so as to fill the learning and the instructional gaps.
However, given that the primary aim of EDTC615 is to ensure that the teacher team acquires effective collaboration skills, it was more befitting to conduct the evaluation in a collaborative cross-evaluation fashion. This is the reason the old teams had to adjourn while new high performing teams had to be formed just for data meeting #5.
Having formed a team that must go straight to performing, it was necessary for the new team to begin work immediately, bypassing the storming and norming stages in Tuckman’s (1965) small group development process. The professor must have envisioned this, which is why she decided to form new teams that are a pair composed of members from the different teams in the previous data meetings.
In data meeting #5, I was fortunate to be paired with a similar team member whose work ethic is as high as mine. Immediately we got to know that we were to be working together, we came together on the LEO and went straight to work, discussing ideas on how to go about with data meeting #5 successfully. We discussed strategies and decided on where and how to meet. But before we met, most of the work had been comprehensively completed on our collaborative platform (Gooogle Dooc) with much enthusiasm. Therefore, our meeting was short and brief as we only discussed points of clarity on each others evaluation.
The data meeting was quite rewarding. We learned new insights from each other and, thus, expanded our perspectives on the PLC process. I am sure that what we both gained from this data meeting and in the data action plan will be of much benefit to us as we apply it at our respective schools.
As the data action model comes to an end, I wish to take this opportunity to thank all those I worked with as a team; those I worked with in data meetings 1 through 4 and the teammate for data meeting #5. I also would like to extend a hearty appreciation to all those that followed my posts and commented on this class blog. But, most importantly, a special “thank you” goes to our knowledgeable professor, Dr. Khalsa for your invaluable support throughout the data action plan. I will forever remember your contribution to my professional advancement, especially your creative insight on how I can more comprehensively set SMART Goals.