If you are interested in connecting with us about any of the findings in our publications or presentations, please email us at acadtechfeedback@umd.edu. We look forward to hearing from you!

 

Publications

Please email us if you are interested in reading a pre-publication copy of any of the listed manuscripts.

 

Lancaster. A.K., Moses, S., Clark, M.K., & Masters, M.C. (2020). The positive impact of deliberate course design on the student learning experience and performance. The Journal of Learning Analytics 7(3), 48-63.

Moses, S., Lancaster, A.K., Clark, M.K., & Masters, M.C. (under review). Modeling student activity performance in an asynchronous online writing course.

Lancaster, A.K., Clark, M.K., Akramov, B.K., & Masters, M.C. (in preparation). Learning analytics and student trust: A replication and extension comparing students’ perceived online privacy across higher education institutions and countries.

 

Presentations

Why Data Storytelling Matters for IT and How You Can Do It, Too

Megan Masters, Martyn Clark, and Alia Lancaster presented their work on creating and refining a compelling reporting framework to other IT professionals at higher education institutions at the 2021 EDUCAUSE conference in October.

 

Creating and Maintaining Connections During the Great Disconnect

Megan Masters, Alia Lancaster, Martyn Clark, and Bekzod Akramov presented virtually at the 2021 TeachX conference about methods that UMD undertook to stay connected to students in Spring 2020-Spring 2021 during the COVID-19 pandemic. Learn more about it on the TeachX presentation page.

 

Perceptions of Online Privacy at the Intersections of Teaching and Learning

Megan Masters and Cory Tressler (Director of Learning Programs, The Ohio State University) dicussed real-world experiences navigating the intersections between the risks associated with exchanging personal data for (real or perceived) institutional benefits, the increase in the use of student-related data across higher education, and the implications of these landscapes on the large-scale deployment of academic technology at the EDUCAUSE Learning Initiative conference in March 2020.

 

Perceptions of online privacy at the intersections of teaching and learning

 

 

Prototyping a learning analytics platform: From concept inception to production

Megan C. Masters, Martyn Clark, Sheila Zellner-Jenkins, Alia Lancaster, and Scott Moses (faculty partner) presented our work building a data science pipeline prototype to other IT professionals at higher education institutions at the 2019 annual EDUCAUSE conference in October.

 

 
 

 

 

Accessibility implications of personal technology bans in the classroom

Accessibility implications of personal technology bans in the classroom

Megan Masters, Alia Lancaster, and Ana Palla-Kane (Senior IT Accessibility and UX Specialist, UMD Division of IT) presented information we learned from student and instructor survey responses about personal technology bans in the classroom and how to incorporate technology into a class session (or not) in ways that include all students at the Women Advance IT conference at the University of Nebraska, Lincoln in November 2019. 

 

 

Surfing learning analytics without wiping out

Surfing learning analytics without wiping out

Martyn Clark, Alia Lancaster, and Megan Masters updated other Canvas institutions on our latest course and program learning analytics using data from ELMS-Canvas at the 2019 annual InstructureCon in July.

Leveraging LMS data to understand student engagement

Leveraging LMS data to understand student engagement

Megan Masters, Alia Lancaster, and Martyn Clark discussed how student activity data from within a course space can be operationalized in different ways depending on the learning objectives and goals of the instructor. Presented at the 2019 annual TeachX conference at Northwestern University in May 2019.

 

Learning by design: The integration of learning analytics and instructional design

Learning by design: The integration of learning analytics and instructional design

Megan Masters, Alia Lancaster, Martyn Clark, and faculty partner Scott Moses discussed how student activity data from within a course space can inform and improve course design for online and face-to-face courses. Presented at the 2019 annual Innovations in Teaching and Learning conference here at UMD in May 2019.

Examining the relationship between executive control and student learning behaviors

Examining the relationship between executive control and student learning behaviors

Alia Lancaster and Jared Link attended and presented research on the relationships among cognitive functions, learning outcomes, and ELMS-Canvas student activity on behalf of the DIT Academic Technology Experience team and other faculty partners, like Tracy Tomlinson. Presented at the 2018 annual Psychonics conference (attended mostly by cognitive science researchers) in November 2018.

Triangulating the student experience with educational technology

Megan Masters and Martyn Clark discussed our initial work triangulating multiple data sets to understand the student experience with our Learning Management System, ELMS-Canvas. They presented to the Learning Technology Consortium meeting in October 2018.

 

Triangulating data to understand the student academic technology experience

Alia Lancaster, Martyn Clark, and Megan Masters presented a poster at the 2018 EDUCAUSE conference to other IT professionals in higher education about our work with ELMS-Canvas.

 

 
 

How can you meet your campus’s academic technology needs? Just ask!

Martyn Clark, Megan Masters, and Alia Lancaster presented a poster at the 2018 EDUCAUSE conference to other IT professionals in higher education about our work gathering technical and functional requirements for an e-portfolio software. 

 

 
 
Evidence-based leadership: Using data to build representative cross-campus collaborations

Evidence-based leadership: Using data to build representative cross-campus collaborations

Megan Masters and Alia Lancaster led an interactive session in which they presented information about academic technology usage and led a conversation about how to incorporate such evidence at other institutions. Presented at the Women Advance IT conference  at the University of Nebraska, Lincoln in October 2018. 

Generating show-stopping insights from LMS (Canvas) data

 

Generating show-stopping insights from LMS (Canvas) data

Martyn Clark, Alia Lancaster, and Megan Masters discussed how our team came to understand the Big Data associated with ELMS-Canvas use, which informed both UMD-wide and course-level metrics. Presented at the 2018 annual InstructureCon to other higher education institutions who use Canvas as their LMS.

 

For a text version of any of these documents, please email acadtechfeedback@umd.edu.