Building Together The Consortiumbased NGDLE Educause Learning Initiative
Building Together: The Consortium-based NGDLE Educause Learning Initiative January 31, 2018 9: 30 a. m. to 10: 15 a. m. • • Dave King, Unizin/Oregon State University Liv Gjestvang, The Ohio State University Maggie Jesse, University of Iowa Donalee Attardo, University of Minnesota
Learning Ecosystem Standards-based Content Relay Learning Environment Analytics
Granular Parts of the Learning Ecosystem Canvas Engage Learner Top Hat experience Content Bridge Open Ed. X Press. Books Additional Data U C D M Advisor Tools Faculty Member Early Warning UDP Tutoring Systems Learner Instructor Dashboard Unizin Common Data Model Unizin Data Platform Advisor Coach
Data Types Foundational Structural Behavioral • • • • From SIS Other sources Demographic First gen student Zip code Term based Enrollment based Course based Financial Aid Quiz based Test based Question/Problem based Adaptive learning based Don’t change much Change by the term Change by the minute SLOW MEDIUM FAST
Steve Scott, Unizin CTO Solving the Learning Data Puzzle: The Unizin Common Data Model Unizin Blog http: //unizin. org/2017/09/13/solving-the-learning-datapuzzle-the-unizin-common-data-model/
What kind of data? Person Academic term Course offering Course section Enrollment Learning activities Learning activity result Quiz item response Grades Learner actions Unizin, Ltd. Demographic data, test scores, etc. Type, season, length, etc. Type, credits, etc. Section number, etc. Created and submitted by students All kinds Most kinds Course grade, assignment grades Unified View of the Learner Process data (event stream) © Unizin, Ltd. All rights reserved.
Unify data with a single data ontology UCDM Canvas SIS Engage Top. Hat Bridge Open Ed. X Unizin, Ltd. Demographics Other LTI ? ? ? Unizin Common Data Model Engine Unified View of the Learner © Unizin, Ltd. All rights reserved.
Unizin Data Platform (UDP) Unified Data Representation Teaching and learning systems and tools Data products and services Data lake Student Information System (SIS) Learning Management System (LMS) Research datasets Warehouse (batch) data Real-time analytics LTI tool Event stream data LTI tool API data T&L tool Event Store Unizin Common Data Model Engine Event stream Data marts APIs Relational Store (for all T&L data) UNIFIED VIEW OF THE LEARNER Unizin, Ltd. © Unizin, Ltd. All rights reserved.
Unizin, Ltd. Entity Element Description Person Person First name Middle name Last name Suffix Ethnicity Zip code Legal first name of the person. Person US residency High School GPA The person’s residency status in the United States. Person College GPA; cumulative The cumulative GPA of a post-secondary student through to Person Is activity duty military Is the student/person a military veteran (i. e. , a retired member of the military who served on active duty)? Person Father highest ed level The highest level of education attained by a person's father or paternal guardian(s). Person Mother highest ed level The highest level of education attained by a person's mother or Person SAT math, pre 2016 The non-concorded, pre-2016 SAT Math score from the student's best sitting. Person SAT math, post 2016 The post-2016 SAT Math score from the student's best sitting. … … … Legal middle name or names of the person. Legal family name of the person Suffix for the person. The zip code of the student’s permanent address at time of his or her application. Student’s reported cumulative high school grade point average. This value is intended to capture the primary GPA used by your institution to evaluate this student’s admission. their most recent term. This GPA score is intended to cover the whole career of a post-secondary student. maternal guardian(s). © Unizin, Ltd. All rights reserved.
UCDM Entities • • Unizin, Ltd. Person (35) Institutional affiliation (5) Academic term (7) Course offering (7) Course section (5) Course section enrollment (8) Learner activity (12) Learner activity group (6) • • • Learning activity override (5) Learning activity result (10) Learning group (5) Quiz (7) Quiz item (12) Quiz item response (6) Quiz response (8) Course grade (4) Learner action (special!) © Unizin, Ltd. All rights reserved.
Integrated Capabilities for a Better Learning Ecosystem Data Driven Standards-based Learning Ecosystem Research Content Learner Experience DATA
Granular Parts of the Learning Ecosystem Canvas Engage Learner Top Hat experience Content Bridge Open Ed. X Press. Books Additional Data U C D M Advisor Tools Faculty Member Early Warning UDP Tutoring Systems Learner Instructor Dashboard Advisor Coach
Personalized Learning at Scale
Liv Gjestvang
AFFORDABLE CONTENT @livgjestvang Ohio State
Pricey Text Books Source: BLS
Why Textbook Affordability?
Why Textbook Affordability?
Hundreds of high-quality, peer-reviewed and collaboratively authored open textbooks available.
There is at least one free, open alternative textbook for 16 of our top 20 courses.
92. 7% of faculty will consider using OER
Affordable Learning Exchange focuses on student savings and pedagogical change.
PRESSBOOKS
CONTENT CAMP
Three months, six institutions, fourteen faculty.
3, 000 questions
. CC license. Limited access. Best practice. Peer review. Moderators. Upvoting
Maggie Jesse
The Challenge The ongoing search for the right data, to the right people, at the right time, visualized effectively…. .
The Strategy • Partner with Unizin member schools • • • Use and support the Unizin Data Platform (UDP) Involve local learning analytics researchers, database experts and motivated faculty Engage students
The Win Pot of gold = access to our data • • Student data aggregation The Challenge Learning analytics dashboards Program outcomes Research opportunities
Donalee Attardo
Unizin and the Canvas LMS Digital Education Help direct the future of digital education, teaching technology, Learning Ecosystem Create the learning ecosystem of the 21 st century learning analytics, and advising University Control Keep control of our intellectual property and data Cost Save money for institutions and ultimately students
Decision Points Content Unizin Services/Products Learning Platform (Canvas or Moodle) Vendor Solutions Analytics and Data Warehousing UMN Developed Services/Products
UMN NGDLE Building Together Unizin has provided the framework, tools, and consortial resources to support a new University-wide conversation about how to create a responsive and sustainable NGDLE. Governance User Education System-wide participation in Building understanding of Unizin governance and issues related to teaching & projects learning (data, technology) Community Input Thinking Like a System Providing process and space Wearing the University hat, not for community discussion the college or system hat, when before decision-making doing the work Alignment with UMN Priorities Principles of Unizin align with institutional priorities and mission Gerisima/i. Stock
Analytics & Data @ UMN Successfully developed a proof of concept to create a common data layer to be created in the UDW, populated by data from People. Soft, Canvas, and APLUS, UMN’s central advising system (developed by our College of Liberal Arts) Work proceeding to utilize UDW in conjunction with in-progress UMN data warehouse redesign UDW data for research beginning to be used by faculty. Faculty-led Learning Analytics Community of Practice began to meet in spring 2017; inquiries to OIT re: what tools would best support learning analytics
Your Turn: Who’s Doing What?
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