Rethinking the Enterprise Learning Ecosystem
Rethinking the Enterprise Learning Ecosystem Joel Hames, VP Product 10/13/2016
Frankie Jackson CTO Cypress-Fairbanks ISD Joel Hames VP Product Management PowerSchool
Enterprise Learning Ecosystem Student Information System Learning Management Curriculum Management Assessment System Intervention Systems HR/Finance Library Cafeteria Bussing/Transportation Counseling and Guidance Data warehousing
The Four Pillars of the Enterprise Learning Ecosystem
What went wrong? We were missing the “Why” Barriers were everywhere We asked the wrong questions
Missing the ’Why’
WHAT Every organization on the planet knows WHAT they do. These are products they sell or the services
WHAT Every organization on the planet knows WHAT they do. These are products they sell or the services
HOW Some organizations know HOW they do it. These are the things that make them special or set them apart from their competition.
WHAT Every organization on the planet knows WHAT they do. These are products they sell or the services
HOW Some organizations know HOW they do it. These are the things that make them special or set them apart from their competition.
WHY Very few organizations know WHY they do what they do. WHY is not about making money. That’s a result. WHY is a purpose, cause or belief. It’s the very reason your organization exists.
Barriers were everywhere
We asked the wrong questions
Decision Driven Data Collection
“By three methods we may learn wisdom: First, by reflection, which is noblest; Second, by imitation, which is easiest; and third by experience, which is the bitterest.” ― Confucius 19
Decision Driven Data Collection Gain Vision and Goal Alignment Avoid starting with data Understand data tells many stories, figure out what story you are interested in Ask questions
20
Decision Driven Data Collection Ask Answerable Questions Define your questions before you look at or collect data Go from qualitative to quantitative, turn goals into measures “Is our program effective” ->
“Has our after-school reading program increased student comprehension scores on the first quarter district benchmark assessment?”
21
Decision Driven Data Collection Go Get the Data Collect data that answers your questions, and drives at your goals Ensure internal validity, consistency of usage, understanding of process Move culture from ‘gut feeling’ to ‘gut knowing’
22
Decision Driven Data Collection Organize and Analyze Be meta: Look at the data from a distance Be careful: Don’t jump to conclusions, look for biases Be deliberate: Ask questions and be confident you understand the data
23
Decision Driven Data Collection Do something meaningful Tie decision-making to data Shorten the feedback loop between understanding data, and expected outcomes
24
Decision Driven Data Collection Gain Vision and Goal Alignment
Ask Answerable Questions Go Get the Data
Organize and Analyze Do something meaningful
25
Multi-pillar solutions change the questions What is my remaining balance?
becomes Can I afford an additional math teacher?
How many credits have I earned?
becomes Am I on-track to graduate with the skills to pursue my passion?
28
What went wrong? Missing the “Why” The Prevalence of Barriers Wrong Questions / Wrong Answers
What went wrong? Missing the “Why” Figure out Why The Prevalence of Barriers Break Down Barriers Wrong Questions / Wrong Answers Ask the Right Questions Get the Right Answers
Cypress Fairbanks Enterprise Learning Ecosystem
eSchoolPLUS eFinancePLUS
• • • • • • •
Cognos Report writer IBM SPSS DecisionEd Data Warehouse Certica Solutions OnDataSuite SchoolNet -iXplore TeacherMade -Lexmark assessments
The Enterprise Learning Ecosystem Built knowing why each component matters Sustained by individuals from all areas working cooperatively
Works in harmony to support meaningful action for all students
Frankie Jackson CTO Cypress-Fairbanks ISD Joel Hames VP Product Management PowerSchool
Enterprise Learning Ecosystem Student Information System Learning Management Curriculum Management Assessment System Intervention Systems HR/Finance Library Cafeteria Bussing/Transportation Counseling and Guidance Data warehousing
The Four Pillars of the Enterprise Learning Ecosystem
What went wrong? We were missing the “Why” Barriers were everywhere We asked the wrong questions
Missing the ’Why’
WHAT Every organization on the planet knows WHAT they do. These are products they sell or the services
WHAT Every organization on the planet knows WHAT they do. These are products they sell or the services
HOW Some organizations know HOW they do it. These are the things that make them special or set them apart from their competition.
WHAT Every organization on the planet knows WHAT they do. These are products they sell or the services
HOW Some organizations know HOW they do it. These are the things that make them special or set them apart from their competition.
WHY Very few organizations know WHY they do what they do. WHY is not about making money. That’s a result. WHY is a purpose, cause or belief. It’s the very reason your organization exists.
Barriers were everywhere
We asked the wrong questions
Decision Driven Data Collection
“By three methods we may learn wisdom: First, by reflection, which is noblest; Second, by imitation, which is easiest; and third by experience, which is the bitterest.” ― Confucius 19
Decision Driven Data Collection Gain Vision and Goal Alignment Avoid starting with data Understand data tells many stories, figure out what story you are interested in Ask questions
20
Decision Driven Data Collection Ask Answerable Questions Define your questions before you look at or collect data Go from qualitative to quantitative, turn goals into measures “Is our program effective” ->
“Has our after-school reading program increased student comprehension scores on the first quarter district benchmark assessment?”
21
Decision Driven Data Collection Go Get the Data Collect data that answers your questions, and drives at your goals Ensure internal validity, consistency of usage, understanding of process Move culture from ‘gut feeling’ to ‘gut knowing’
22
Decision Driven Data Collection Organize and Analyze Be meta: Look at the data from a distance Be careful: Don’t jump to conclusions, look for biases Be deliberate: Ask questions and be confident you understand the data
23
Decision Driven Data Collection Do something meaningful Tie decision-making to data Shorten the feedback loop between understanding data, and expected outcomes
24
Decision Driven Data Collection Gain Vision and Goal Alignment
Ask Answerable Questions Go Get the Data
Organize and Analyze Do something meaningful
25
Multi-pillar solutions change the questions What is my remaining balance?
becomes Can I afford an additional math teacher?
How many credits have I earned?
becomes Am I on-track to graduate with the skills to pursue my passion?
28
What went wrong? Missing the “Why” The Prevalence of Barriers Wrong Questions / Wrong Answers
What went wrong? Missing the “Why” Figure out Why The Prevalence of Barriers Break Down Barriers Wrong Questions / Wrong Answers Ask the Right Questions Get the Right Answers
Cypress Fairbanks Enterprise Learning Ecosystem
eSchoolPLUS eFinancePLUS
• • • • • • •
Cognos Report writer IBM SPSS DecisionEd Data Warehouse Certica Solutions OnDataSuite SchoolNet -iXplore TeacherMade -Lexmark assessments
The Enterprise Learning Ecosystem Built knowing why each component matters Sustained by individuals from all areas working cooperatively
Works in harmony to support meaningful action for all students
