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Explore how BloomBoard empowers TESS processes, supports PGP development, and enhances instructional practices at scale. Dive into evaluation data usage and iterative PGP cycles for continuous professional growth.
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BloomBoard Training Summer 2014
Backpack Bingo • 2 Rounds • Go through your “backpacks” and find an item that fulfills each of the categories.
“Backpack” Bingo! • Round One. Find: • Evidence that someone is organized • Evidence that someone has traveled in a car • Evidence that someone is “spacey” or “forgetful” Stand up and shout “BINGO!” when you find evidence of all 3. Be ready to share your evidence.
“Backpack” Bingo! • Round Two. Find: • Something that would be helpful on a vacation • Something that would be helpful in the desert • Something with no apparent use at all Stand up and shout “BINGO!” when you find evidence of all 3. Be ready to share your evidence.
Introductions • With a partner, complete the following statement. • Be prepared to share your statement, and introduce yourself (name, organization, role). TESS is a _________ because ________________. (Select a noun) (Explain the comparison)
Data Literacy Training Outcomes • Articulate how BloomBoard powers TESS processes. • Review the features of the learner BloomBoard Home Page. • Review the BloomBoard features necessary to participate in the PGP. • Utilize data organized in the BloomBoard platform to make decisions about your teaching practice. • Explore Resources to ‘mine’ personalized supports aligned to PGPs.
Agenda • Opening • Review BloomBoard Learner Homepage • The PGP process • Explore resources • Develop PGP • Attach resources • Explain Informal and Formal Observation training for fall • Closing
Our Partnership BloomBoard A tool to organize evaluation data, create efficiencies and increase productivity around TESS processes, and seamlessly link to learner supports. TESS/LEADS Our best lever to change instructional practice at scale. Gives teachers and leaders clear expectations, feedback and support. SHARED GOAL Better instruction for students
Evaluation Data Use Cycle Professional Growth Plans (PGPs) Informal Observations Self-Reflection and Goal Setting Professional Learning Professional Learning Summative Evaluation Conference Formative Evaluations Pro Professional Learning Formal Observations
PGP Process • Insert cycle graphic • STEP 5: Implementation and Monitoring: • Informal/Formal Observations, Mid and End of Year Meetings • Adjusting goals as necessary and providing ongoing supports
PGP Process • Insert cycle graphic • STEP 5: Implementation and Monitoring: • Informal/Formal Observations, Mid and End of Year Meetings • Adjusting goals as necessary and providing ongoing supports
PGP Process • Insert cycle graphic • STEP 5: Implementation and Monitoring: • Informal/Formal Observations, Mid and End of Year Meetings • Adjusting goals as necessary and providing ongoing supports
PGP Process • Insert cycle graphic
PGP Process • Insert cycle graphic • STEP 5: Implementation and Monitoring: • Informal/Formal Observations, Mid and End of Year Meetings • Adjusting goals as necessary and providing ongoing supports
What are the underlying values in your evaluation system? PRACTICE the PGP Meeting!
Effective Professional Learning is… Focused Active Collaborative Ongoing, Embedded, Differentiated
Step 5: • Implementing • Completing action steps (consuming resources and accomplishing BloomList items) • Refining/Adding goals and resources based on feedback from monitoring • Monitoring • E-portfolio (learner) • Informal • Formal • Other means of data gathering?
BloomBoard Support • Access general and Arkansas specific support material at http://support.bloomboard.comor access the support site using the help button in the upper right hand corner of the BloomBoard platform. • What BloomBoard functionality is still unclear to you? Find a resource on the support site to help! • All teachers and observers have access to BloomBoard support 24/7 • Phone: 888-418-1595 (8am-8pm EST) • Email: support@bloomboard.com • Your district IT teams have a support channel too!
“The essence of data-driven decision making is not about perfection and finding the decision that is popular. It is about finding the decision that is most likely to improve student achievement, produce the best results for the most students, and promote the long-term goal of excellence and equity.”Reeves, 2011 Wrapping It Up…