1.Whats Data Got to Do With It? Technology, Innovation, and Education George Washington University Mar 5, 2014

2. Technology, Innovation, and Education 3. Technology, Innovation, and Education 4. Technology, Innovation, and Education 5. Technology, Innovation, and Education 6. Technology, Innovation, and Education 7. New Education Technology 8. New Education Industry http://siia.net/eis/2014/ 9. New Education Creativity http://vimeo.com/71053336/ 10. Outline: Whats Data Got to Do With IT? The Educational Data Movement My book Assessing The Educational Data Movement Comparing education and other fields, including business Quantitative and Qualitative shifts in the field Modeling education as a sector 11. THE EDUCATIONAL DATA MOVEMENT 12. The Educational Data Movement Understanding how the organizational model of education is similar to/different from other fields is key to understanding the educational data movement. 1980 1990 - 2000 - 2010 Finance Manufacturing Retail Health Care Education 13. Data Across Educational Levels Education Level Technologies 14. Data Across Educational Levels Education Level National Technologies No federal data system, national organizations/standards 15. Data Across Educational Levels Education Level National State Technologies No federal data system, national organizations/standards State Longitudinal Data Systems (SLDS) 16. Data Across Educational Levels Education Level National State Districts Technologies No federal data system, national organizations/standards State Longitudinal Data Systems (SLDS) District data warehouses, teacher and principal evaluation systems 17. Data Across Educational Levels Education Level National State Districts Schools Technologies No federal data system, national organizations/standards State Longitudinal Data Systems (SLDS) District data warehouses, teacher and principal evaluation systems Dashboards, special education & behavior/discipline tracking systems 18. Data Across Educational Levels Education Level National State Districts Schools Classrooms Technologies No federal data system, national organizations/standards State Longitudinal Data Systems (SLDS) District data warehouses, teacher and principal evaluation systems Dashboards, special education & behavior/discipline tracking systems Interactive content, dashboards and reports, open educational resources 19. ASSESSING THE EDUCATIONAL DATA MOVEMENT 20. The Educational Data Movement Compares education to business Explains why using data for education is both necessary and difficult Synthesizes different strands of education and organizational research 21. The Business/Education Dichotomy Journals Conferences Academic Programs Journals Conferences Academic Programs 22. Balancing Business/Education Views 23. Business/Education Family View Large Small Size 24. Business/Education Family View Large Small Size Local Distributed 25. Business/Education Family View Large Small Size Local Distributed Brick & Mortar Virtual For/Non Profit 26. Education is Unique Culture and Human Capital (This is Changing) Historical problem Legislative Context(The US Constitution) Each state can decide what it wants to do and there are over 17,000 school districts Learning is Extremely Variable and Context-specific Much less understood than medicine In The K-12 Space Education is Universal Everyone goes to school and schools must accept everyone 27. Education Data Has Issues Human/social creation. Much of educational data is human generated with possibility for error/manipulation. Measurement imprecision. Educational data can be imprecise, especially assessments of learning. Comparability challenges. Comparisons across different areas of education is often impacted by context variation. Fragmentation. The world of educational data is fragmented. There are incomplete/partially adopted technical standards. 28. QUANTITATIVE AND QUALITATIVE SHIFTS IN THE FIELD 29. Dramatic Growth in Artifacts Assessment Technology Computing Technology Central Mainframe ComputingTabulating Technology Cloud Technology Services Traditional fixed response, short task assessments Analog Paper-based (Textbooks, worksheets, and manual classroom tools) Classroom Technology Distributed Integrated Assessment Systems Digital Classroom Technology 1850s 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 20101850s 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 2010 30. Quantitative Shifts in Data Test scores Interim assessments In class, formative assessments Growth models Student collaboration Conversation records from classroom talk and online tools Student work, including rich and multimodal demonstrations of knowledge and competency (essays, presentations, etc.) Records of after-school experiences Records of informal learning Activity traces from digital media (in school, out of school, etc.) Demographics Student-teacher relationships (TSDL) School improvement plans/goals Classifications (ex: proficiency groups) Video records of teaching Annotated/evaluated records of teaching Teacher evaluations Individual Education Plans (IEPs) and personalized learning maps Geospatial information (mapping and trends) Attendance and rosters (more important than you think!) FERPA/privacy blocks 31. Qualitative Shifts in Education 1. Reorientation of center of control 2. Broader focus on competencies 3. Blended/ personalized learning 32. Social Networks &Teams Mobile Technology Evidence and Transparency Institution Focus Teacher Control Institutional Reorientation Institutions and Teachers 33. Social Networks &Teams Mobile Technology Evidence and Transparency Institution Focus Teacher Control Networks and Students Institutional Reorientation Social NetworksLearning Networks Learning Communi ties. Expert Sources Open Ed. Resources Families Institutions and Teachers Related to the Education Data Movement 34. Emphasis on Broader Competencies Cognitive Cognitive processes and strategies Knowledge Creativity Intrapersonal Intellectual openness Work ethic and conscientiousness Positive core self- evaluation Interpersonal Teamwork and collaboration Leadership Critical thinking Information literacy Reasoning Innovation Flexibility Initiative Appreciation for diversity Metacognition Communication Collaboration Responsibility Conflict resolution 35. Emphasis on Broader Competencies Cognitive Cognitive processes and strategies Knowledge Creativity Intrapersonal Intellectual openness Work ethic and conscientiousness Positive core self- evaluation Interpersonal Teamwork and collaboration Leadership DigitalMediation Critical thinking Information literacy Reasoning Innovation Flexibility Initiative Appreciation for diversity Metacognition Communication Collaboration Responsibility Conflict resolution Artifacts 36. Blended/Personalized Learning Blend the best of face-to- face/online. Incorporate interaction and dynamic material coupled with metadata and paradata to enable feedback. Leverage embedded diagnostic assessments & interactive data visualization tools. Learning algorithms match content/activities/ teaching approaches with learners needs. Connect the in/out of school learning for complete picture of students development. 37. VIEWING EDUCATION AS A SECTOR 38. Viewing Education as a Sector K-12 Education Post Secondary Professional/Career Jobs Early Childhood 39. Mapping Innovations to Level/Scale Early Childhood K-12 Post Secondary Continuing/ Career Individuals Cohorts Organizations Systems Scale of Educational Context EducationalLevel(Age) 40. Mapping Innovations to Level/Scale Early Childhood K-12 Post Secondary Continuing/ Career Individuals Cohorts Organizations Systems Scale of Educational Context EducationalLevel(Age) 41. Whats Data Got to Do With It? Technology, Innovation, and Education George Washington University Mar 5, 2014