2017-18: Using Data to Improve Student Learning at SSIS Suzhou

Using Data to Improve Student Learning
November 13-14, 2017
Suzhou Singapore International School

Date: November 13-14, 2017

School: Suzhou Singapore International School

Intended Audience: administrators, curriculum coordinators, instructional coaches, department heads, teacher leaders, counselors, school psychologists

Outcomes:

Develop data literacy
Learn tools, skills and strategies for fostering a culture of collaborative inquiry with regard to student learning data
Develop strategies for tackling obstacles to using data in your context
Apply learning to data from your school context
Develop an action plan for next steps in using data to improve student learning within your sphere of influence

Overview:

Schools are often regarded as “data rich and information poor,” and in international schools this phenomenon can be even more pronounced. In this workshop, you will learn skills and strategies to collect and make sense of data in order to improve student learning. You will apply your learning to data from your own school, and develop and plan for how you might move forward with using data to develop a culture of collaborative inquiry and improve learning within your sphere of influence.

Participant Preparation:

Participants should bring data from their school that they would like to explore further. This might be results from an assessment (e.g. MAP, ISA, IB, internal common assessment), survey data, enrollment data, etc.

Speaker Profiles
2-Day Agenda

Speaker Profiles

Cindy Warner-Dobrowski is Director of Student Services at International School Bangkok, where she oversees the Learning Support, English as an Additional Language, Counseling and Challenge and Enrichment programs. A school psychologist by training, Cindy is passionate about collecting and analyzing data to understand student learning needs, and developing plans to ensure that these needs are met at an individual student and systems level. At ISB, Cindy supports whole school data analysis, the development of data literacy and the use of data to understand and improve student learning at the team and whole-school levels through the use of Data Driven Dialogues.

2-Day Agenda

Day 1:

Time	Topic	Guiding Question
8:00-10:00	Introduction	What do we mean by "data", and how can they be used to improve learning?
10:00-10:15	Break
10:15-12:15	Selecting data, data literacy	Which data should we use? What are the implications of the properties and limitations of our assessment tools?
12:15-1:00	Lunch
1:00-3:00	Collecting, organizing and displaying data	How can we facilitate the collection and organization of student learning data to maximize its usefulness? How can we create effective data displays?
3:00-3:15	Break
3:15-4:15	Reflect, synthesize, connect	What are you taking away from today and how might it be applied?

Day 2:

Time	Topic	Guiding Questions
8:00-10:00	Cultural considerations	How can we cultivate a culture of collaborative inquiry and data use? How can we navigate some of the obstacles we might encounter?
10:00-10:15	Break
10:15-12:15	Data Driven Dialogue: A collaborative inquiry protocol	How can a Data Driven Dialogue be used to facilitate a process of collaborative inquiry and ultimately improve student learning?
12:15-1:00	Lunch
1:00-3:00	Making data-driven decisions	How might we use data to improve our decision-making about supporting learning?
3:00-3:15	Break
3:15-4:15	Opportunities for application	How might you apply these concepts, tools and strategies in your context?

Workshop Archives Main Page

Using Data to Improve Student LearningNovember 13-14, 2017Suzhou Singapore International School

Overview:

Participant Preparation:

Using Data to Improve Student Learning
November 13-14, 2017
Suzhou Singapore International School