Equity, Agency and Mastery
Enabling the Next Generation of Student Success

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Improving Student Success through Actionable Data and Insights [clear filter]
Tuesday, May 19

9:30am MDT

Using Analytics for Improved Support in Experiential Learning
Experiential learning pedagogy plays a prominent role in the higher education curriculum.However, there is a need for more research and development on how experiential learning pedagogy can utilize emerging technologies like learning analytics and machine learning for support. This session is based on doctoral research that brings together emerging technology, data analytics, and experiential learning to explore how technology could be used to aid in the learning and teaching of experiential learning programs. It will explore real-time technology-enabled, learning theory-based categorization of students and how it can be used by educators to tailor how they intervene in the learning process.

avatar for Nikki James

Nikki James

Doctoral Candidate, The University of Liverpool
I'm a learning analytics researcher focused on the use of learning analytics for experiential learning and 21st Century Skill development.

Tuesday May 19, 2020 9:30am - 10:00am MDT

1:00pm MDT

Operationalizing Your Use of Data to Drive Student Success
How one large metropolitan school district utilizes technology and digital platforms to monitor and promote student success and engagement for decision making at the classroom, school and district levels.


Nikki Brown

Instructional Assessment Coordinator, Cherry Creek School District

Norm Alerta

Director of Assessment and Performance Analytics, Cherry Creek School District

Tuesday May 19, 2020 1:00pm - 1:30pm MDT

2:30pm MDT

Capitalizing on Data and Analytics: Lessons From the Field
Thanks in part to data interoperability standards, data lakes for teaching and learning data are now mature and rich enough to practically support a range of student success stakeholders in the fields of learning analytics, advising, educational data mining, and in-course analytics. In this session, we share lessons from building a workbench of analytics tools and data services to serve the University across the enterprise. We will share our approaches to catalyzing the use of data across the University; an evaluation of what has worked and what has not; and, finally, a report on how we intend to build on successes for the future. We hope this session provides practical information regarding how to effectively use teaching and learning data at scale.

avatar for John Johnston

John Johnston

Program Manager, University of Michigan
Easy makes a weak body and mind. I judge my success based on the success of those that depend on me. I am a humble guy with a slight edge of non-conformity I just can't seem to shake. I question everything.
avatar for Ned Lindau

Ned Lindau

Business Development, Google EDU

Etienne Pelaprat

Chief Technolgoy Officer, Unizin

Tuesday May 19, 2020 2:30pm - 3:00pm MDT
Wednesday, May 20

10:30am MDT

Attendance-Based Intervention: Take Charge of Your Success. Go to Class
For several years, UMBC has been making use of data-informed interventions to reduce DFW rates, support student persistence, and reduce time to graduation using predictive models based largely on LMS activity and pre-existing academic characteristics. These behavioral nudge campaigns have revealed an underlying necessity to induce academic success: The right treatment delivered to the right students at the right time.To remediate difficulties in gateway STEM courses, our Division of Information Technology (DoIT) has partnered with the university's Math department and initiated a two-tiered intervention leveraging attendance data to inform targeted outreach of students who exceed thresholds determined by an initial analysis of inflection points. Systematic nudges have been deployed through the campus student portal along with human outreach and micro-survey data gathered to identify additional areas to provide learner support.


Robert Carpenter

Deputy CIO, Division of Information Technology & Associate Provost, Division of Academic Affairs, UMBC

Tom Penniston

Analystics Specialist, UMBC

Wednesday May 20, 2020 10:30am - 11:00am MDT

11:15am MDT

Sharing the Responsibility: Student Data Governance
​The increased need to collect and store learning data and analytics enabled by the implementation of digital products using standards such as LTI, One Roster, and QTI, which assist with data flow and system interoperability, has created the need for more refined data management and protection practices in K-12 education. Proactive data governance is necessary to ensure confidentiality, integrity, accessibility, availability, and quality of the data that can now be collected. Clearly outlining policies, standard procedures, responsibilities, and controls surrounding data activities, a data governance program helps to ensure that information is collected, maintained, used, and disseminated in accurate and appropriate ways. Gain a high-level understanding about how the country's 25th largest school systems, Baltimore County Public Schools (BCPS), is collaboratively and strategically crafting Student Data Governance practices in order improve the management of student data.​​​

avatar for Jeanne Imbriale

Jeanne Imbriale

Director, Baltimore County Public Schools
As Director of the Office of Enterprise Applications for the 25th largest school district in the country, Jeanne Imbriale’s focus is on optimizing the use of technology to improve learning for its 111,000 students. This includes leading the development of system solutions for all... Read More →
avatar for David Stovenour

David Stovenour

Director, Digital Safety and Innovation, Baltimore County Public Schools

Jim Corns

Executive Director, Baltimore County Public Schools

Wednesday May 20, 2020 11:15am - 12:00pm MDT

1:30pm MDT

Ethical Considerations for Learning Data
Ensuring that learning data is used ethically is a critical consideration for academic institutions and a responsibility for EdTech providers. In this session, we will discuss recent concerns and emergent frameworks for ensuring that data is used responsibly and within both legal and ethical constraints. Building from recently published work on this topic, we will discuss what we see as unproductive trends and approaches that could address these concerns with rigor and responsibility.

avatar for John Fritz

John Fritz

Asst. Vice President, Instructional Design and New Media, University of Maryland Baltimore County
John Fritz is Associate Vice President for Instructional Technology in UMBC's Division of Information Technology. He is responsible for UMBC's focused efforts in teaching, learning and technology, learning analytics and user support. John holds a Ph.D in Language, Literacy and Culture... Read More →
avatar for John Whitmer

John Whitmer

Senior Director, Data Science and Analytics, ACT
John is the Senior Director for Data Science and Analytics for ACT, Inc. In this role, he leads a team of data scientists, psychometricians, and learning analytics researchers to conduct foundational research and to develop operational algorithms. These algorithms are embedded within... Read More →

Wednesday May 20, 2020 1:30pm - 2:00pm MDT

2:15pm MDT

Making Data Sing: Working Collaboratively Toward a Harmonized Education Data Model
While the proliferation of data in the digital learning ecosystem has created numerous opportunities for efficiency in interoperability, it has not fully reached its potential in facilitating a deeper understanding of student or institutional effectiveness and behaviors. In other words: We have a lot of data -- so how do we make sense of it? At the beginning of 2020 IMS established a new exploratory task force to develop a global core data model for student learning spanning K-12 and HED. The stated goal is to define a common data model across the global edtech ecosystem to help institutions ensure that they are getting data they can interpret from the products they procure. More than two dozen edtech suppliers and numerous institutions and districts have joined the task force. This session will provide an overview of the initiative, an update on the progress of the task force, and a roadmap for going forward.

avatar for Colin Smyth

Colin Smyth

Chief Architect, IMS Global Learning Consortium
Colin has a degree in Applied Physics (1979) and was awarded a PhD for his work on spread spectrum local area networks (1985); both degrees were from the University of Durham, UK. During the past 25 years he has worked in both the academic and the industrial world. He was a lecturer... Read More →
avatar for Cary Brown

Cary Brown

Higher Education Program Director, IMS Global Learning Consortium
With responsibilities for helping to drive the IMS Global work in the Higher Education industry and manage and maintain the projects and members in HED, I have a background in enterprise software development and management with a focus on integration.
avatar for Tim Clark

Tim Clark

Vice President of K12 Programs, IMS Global

Joshua McGhee

Technical Program Manager, IMS Global Learning Consortium

Wednesday May 20, 2020 2:15pm - 3:00pm MDT

3:30pm MDT

Northcentral University Student Success Index: Actions and Reactions
The Student Success Index is an Institutional initiative that aggregates a broad set of metrics defining a series of data dimensions that reflect student success. Dimensions in the current index include Student and Faculty Engagement, Satisfaction, Academic Performance, Retention/Progression/Graduation, and Course/Program Performance.While the metrics for each dimension are available in their discrete form, the value of the index is derived largely from the analysis, calculations, and weightings that occur in the Index. Role-based views of the data are available for faculty, advisers, and academic administrators. The Index is presented in a dashboard format that emphasizes ease-of-consumption in actionable formats. This presentation will conclude with a review our plans for extended dimensions, data sets, and analysis as we extend the functionality and applicability of the Index.


Robert Sapp

Founding Dean, School of Technology, Northcentral University

Colin Marlaire

Chief Technology and Learning Officer, Northcentral University

Wednesday May 20, 2020 3:30pm - 4:00pm MDT

4:15pm MDT

Data-informed Learning Analytics Framework for STEM Student Success
In this session, we will present a data-informed framework we developed to help students retain and succeed in STEM (Science, Technology, Engineering and Mathematics) programs. In particular, we will describe our methods for identifying 'at risk' undergraduate students in required core curricula courses and evaluating the impact of a special treatment program that was provided to a subset of those students. We will discuss an early 'boosting' effort to help this population of students who were not thriving and evaluate the short- and long-term impacts of these treatments. Additionally, we will present an inclusive learning visualization dashboard which assists instructors in improving their assessment design and also aids administrators in evaluating the impact of any special treatment programs offered students with actionable insights.


Paul Turner

Director of Teaching and Learning Technologies, University of Notre Dame

Xiaojing Duan

Learning Platforms and Analytics Architect, University of Notre Dame

Kevin Abbott

Educational Technology Specialist, University of Notre Dame

Alex Ambrose

Director of Learning Research, University of Notre Dame

Wednesday May 20, 2020 4:15pm - 5:00pm MDT
Thursday, May 21

8:30am MDT

Privacy-Preserving Data Analytics for the Education Technology Industry
A major challenge facing the education industry is how to leverage student data to improve student outcomes and remain competitive whilst protecting the students privacy. This session will describe a collaborative research project between two of Australia's leading Learning Analytics and Data Privacy research organisations and two global education services providers to apply the latest privacy-preserving analytics techniques to student learning data. With this solution in place, educators will be able to make fuller use of their student data for innovation and competition while also measurably improving its safety. The project builds on an earlier collaboration between two of the project partners in the identification of student learning strategies and development of personalised interventions for online students. This is the first use-case for this privacy-preserving analytics solution, which resulted in improved student outcomes along two key performance metrics, the results of which will be shared.


Wes Sonnenreich

CEO, Practera

Srecko Joksimovic

Data Scientist, University of South Australia

Thursday May 21, 2020 8:30am - 9:00am MDT

9:15am MDT

Advancing Learning Outcomes: Interoperability between Education and Health
Unifying health and education data in order to inform, elevate and assess our children. By understanding the changing nature of privacy and the demands of families to be able to exchange information that will make learning and health of their children better, the Genius Village App empowers caregivers to establish relationships with agencies that they already interface with but are in different silos. Attendance and grades are indicators of a child's success and with screening tools such as Pearls, caregivers can examine interventions that mitigate the harmful effects and consequences of ACEs and toxic stresses. Through the modality of Roster One, the Genius Village App is able to integrate to school district's SIS. Caregivers are able to track their child's progress. Putting data back in the hands of the families is a much needed paradigm shift and the goal is to experience optimal health and learning outcomes in marginalized populations.


Ana Castro

CEO, Genius Plaza

Thursday May 21, 2020 9:15am - 10:00am MDT