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Empirical Approach to Identifying Digital Learning
Innovation Trends
Tanya Joosten, Ph.D., & Kate Lee-McCarthy
What is Every Learner Everywhere?
Every Learner Everywhere
Every Learner Everywhere brings
together 12 partner organizations
to help colleges and universities
navigate the rapidly evolving digital
learning landscape.
Our mission is to help institutions
use new technology to innovate
teaching and learning, empower
instructors, and improve student
outcomes—especially for first-
generation college students, low-
income students, adult learners and
students of color.
4
Digital Learning
Innovations
Digital Learning Innovations
Digital Learning Innovations
-How do we define “innovations”?
• Identify trends & gaps in digital
learning & adaptive technology
• Identify opportunities to utilize
and/or address those trends and
gaps
• Determine if they scalable? And if
we help make them scalable?
Step 1:
Environmental Scan of Digital
Learning Innovations Trends
Tanya Joosten, Ph.D
5
Report
https://solve.everylearnereverywhere.org/asset/h7NIH5hGhprKAYWPuiEZ
https://solve.everylearnereverywhere.org/
Methodology
Why does methodology matter?
Considerations in developing an empirical
approach
Systematic
Timeframe
What is a digital learning innovation?
What is not a digital learning innovation?
Digital
Learning
Innovation
Gather examples to clarify
Defining phenomenon
Context or industry sector
Data
Data Sources
Annotation
of each
piece
Analysis
Findings
Primary trends in digital learning
innovation
Retrieved from: https://www.edalive.com/central/adaptive-learning/
Adaptive learning
Retrieved from: https://www.insidehighered.com/digital-learning/article/2018/01/10/finding-oer-remains-challenging-solutions-abound
Open education resources (OER)
Retrieved from Roblox.com
Gamification and game-based learning
Retrieved from: Phil Hill eLiterate http://mfeldstein.com/four-barriers-thatmoocs-must-overcome-to-become-sustainable-model/
MOOCs
Retrieved from: Phil Hill https://philonedtech.com/state-of-higher-ed-lms-market-for-us-and-canada-2019-mid-year-edition/
LMS and Interoperability
Retrieved from: https://solutionsreview.com/mobile-device-management/top-4-mobile-device-management-vendors-to-watch-in-2016/
Mobile devices
Retrieved from:https://en.wikipedia.org/wiki/Backward_design
Design
Secondary trends in digital learning
innovation
Retrieved from: professorjoosten.blogspot.com
Blended
Retrieved from University of Michigan support documentation
Dashboards
Retrieved from: https://www.cnn.com/2018/11/01/health/virtual-reality-education/index.html
Virtual reality
Artificial Intelligence
Other happenings in digital learning
innovation
• Feedback
• Openness
• Access
• Equality equity, and achievement gap
• Flexibility and efficiency
• Quality
• Student success and improving outcomes
• Research, data, and analytics
• Infrastructure and implementation
• Vendor and OPM partnerships
• Emerging models and models (online, blended, competency-based)
• Engagement, interactivity, humanizing
• STEM and online labs
• Proctoring and academic honesty
• Pathways
• Faculty support and faculty development
• Organizational learning, how organizations work, business models
• Blockchain
• Micro-credentials, modularized degrees, and workforce
development
• Internationalization
• Digital literacy and fluency
• Active learning spaces
Honorable mentions
Next Steps
Seed Grant
Faculty Action Research
Stipend
STEM Survey (National State
of Online STEM Education)
Find Innovations
Get Involved
Tanya Joosten, Ph.D.
tjoosten@uwm.edu
@tjoosten
http://detaresearch.org
Kate Lee-McCarthy
kate.leemccarthy@onlinelearning-c.org
https://www.everylearnereverywhere.org/
Contact

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Empirical Approach to Identifying Digital Learning Innovation Trends

Notas do Editor

  1. The focus of this effort was to illustrate trends in digital learning innovation. Digital learning innovations were to be located through a scan of the postsecondary environment through various data sources in order to identify prominent innovations that have the potential to improve student outcomes in postsecondary education. Digital learning innovations were to include technologies, such as adaptive learning and open education resources, that improve access, equity, and learning. A timeframe for the collection of relevant data was established from January 1st, 2018, to September 1st, 2019. Previous DLI award analysis was included as one data source. Other data sources included industry leaders, national organizations advancing technology and learning, prominent research centers, influential research journals (peer reviewed), popular news and media outlets, funded initiatives, key institutions, vendors or products of interest, and other key publications from national organizations or efforts to see what themes and topics are relevant in the current landscape. Over a dozen data sources were reviewed. Documents, including articles, reports, web content, and more) were pulled directly from database and organizations’ sites when possible. Informal interviews were conducted with various academic leaders in the field at key organizations. Articles were summarized noting key themes and findings until themes were saturated, at which point key themes were noted but articles were not summarized. Articles were saved and compiled on a server for additional review or verification. In sum, over 400 articles were reviewed.
  2. OLC was tasked with managing Digital Learning Innovations for the Every Learner Network Who are we: Working Group and Advisory Committee comprised of direct network partners (Digital Promise, dLRN, APLU, ATD), external partners (DETA, Edsurge, Babson Research Group) and Institution Administration volunteer partners (Norfolk State University, Southwest TN Community College, University of St. Thomas).
  3. The focus of this effort was to illustrate trends in digital learning innovation. Digital learning innovations were to be located through a scan of the postsecondary environment through various data sources in order to identify prominent innovations that have the potential to improve student outcomes in postsecondary education. Digital learning innovations were to include technologies, such as adaptive learning and open education resources, that improve access, equity, and learning. A timeframe for the collection of relevant data was established from January 1st, 2018, to September 1st, 2019. Previous DLI award analysis was included as one data source. Other data sources included industry leaders, national organizations advancing technology and learning, prominent research centers, influential research journals (peer reviewed), popular news and media outlets, funded initiatives, key institutions, vendors or products of interest, and other key publications from national organizations or efforts to see what themes and topics are relevant in the current landscape. Over a dozen data sources were reviewed. Documents, including articles, reports, web content, and more) were pulled directly from database and organizations’ sites when possible. Informal interviews were conducted with various academic leaders in the field at key organizations. Articles were summarized noting key themes and findings until themes were saturated, at which point key themes were noted but articles were not summarized. Articles were saved and compiled on a server for additional review or verification. In sum, over 400 articles were reviewed.
  4. Depth and breadth of the exploration
  5. What are you trying to measure Everything is data
  6. Reducing Time to Course Completion  Self-paced, adaptive Reducing Time to Graduation CBE, self-paced Bottleneck courses Use of analytics
  7. Minimizing Costs OER
  8. Research - EEP, LINK, Digital Promise, DETA, OSU, RITE, UX Design; measuring impact, measuring learning