What is learning analytics?
The Society for Learning Analytics Research defines learning analytics as “the measurement, collection, analysis, and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs.”
What is the purpose of learning analytics?
The purpose of applying learning analytics is to enhance or improve student success. Learning analytics provides important information to faculty on a range of factors related to student performance and success involving Canvas, Kaltura, LinkedIn Learning, and other learning technologies and systems.
This information supports the critical work of faculty in areas including student engagement, academic performance, and learning outcomes, among others.
Beyond teaching and learning, this information can also support the assessment and accreditation efforts of academic units.
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Testimonial
“The Student Zero Activity Report flags students who have not logged into Canvas at all or have not done so for a long time. This tool provides us with valuable information and allows us to identify those students who may be at academic or engagement risk. We can then reach out to those students and take appropriate measures.”
Michelle Crilly
Director, Center for Student Success
School of Business
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How does learning analytics improve student learning?
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The use of learning analytics can
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increase student retention
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inform stakeholders’ judgments
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offer more personalized learning
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detect students’ at-risk and undesirable behaviors
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support course design and development
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provide timely feedback and intervention
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increase students’ engagement
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improve learning outcomes
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assist in understanding students’ progress and performance
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To learn more about Learning Analytics, please check out the video tutorials below:
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Course-Based Tool
Accessed via Canvas
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Appropriate for
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Video Tutorial
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New Analytics
Track student data using an interactive chart or table.
For more information about New Analytics, click here.
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Click here
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Student Context Cards
Click a student’s name anywhere in Canvas to view a summary of the student’s progress in the course.
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Click here
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Individual Student Access Report
View a summary of student participation in a course.
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Click here
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Quiz Statistics
View statistics such as quiz average score, high score, low score, standard deviation, and average time of quiz completion.
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Click here
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Reports Delivered via Email
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Appropriate for
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Video Tutorial
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Course Storage Report
View storage space used by each course in a selected term
To request this report for your school, department, or program, click here.
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- Program Directors
- Department Heads
- Student Success Coordinators
- Advisors
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Click here
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Students with No Submissions Report
View all students enrolled in a course who have not submitted an assignment in Canvas
To request this report for your school, department, or program, click here.
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- Program Directors
- Department Heads
- Student Success Coordinators
- Advisors
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Click here
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Enrollment Report
View users' enrollment status (teacher, student, TA) in a given course
To request this report for your school, department, or program, click here.
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- Program Directors
- Department Heads
- Student Success Coordinators
- Advisors
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COMING SOON |
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Student Zero Activity Report
View students who have not visited a course in Canvas since enrollment
To request this report for your school, department, or program, click here.
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- Program Directors
- Department Heads
- Student Success Coordinators
- Advisors
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Click here
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Student Access Report
View all the activity from students enrolled in a given course or all courses in a given term
To request this report, click here.
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COMING SOON
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Unpublished Courses Report
View the courses for a given term that are not published
To request this report for your school, department, or program, click here.
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- Program Directors
- Department Heads
- Student Success Coordinators
- Advisors
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Click here
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Questions or issues? Contact the Office of Learning Technology using the Service Desk. Or send an email to support@stevens.edu
References
Alhadad, S., Arnold, K., Baron, J., & Whitmer J. (2015). The Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Success. EDUCAUSE Center for Analysis and Research (ECAR), Retrieved from https://library.educause.edu/-/media/files/library/2015/10/ewg1510-pdf.pdf
Becker, B. (2013). Learning analytics: insights into the natural learning behavior of our students. Behavioral & Social Sciences Librarian, 32 (1), 63-67
Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(1), 904-920.
Daniel, B. K. (Ed.). (2016) Big data and learning analytics in higher education: Current theory and practice. Springer.
Dziuban, C., Moskal, P., Cavanaugh, T., & Watts, A. (2012). Analytics that inform the university: Using data you already have. Journal of Asynchronous Learning Networks, 16(3), 21-38.
Lawson, C., Beer, C., Rossi, D., Moore, T., & Fleming, J. (2016). Identification of ‘at risk” students using learning analytics: the ethical dilemmas of intervention strategies in a higher education institution. Educational Technology Research and Development, 64(5), 957-968.
Myint, S., Khine (2018). Learning Analytics for Student Success: Future of Education in Digital Era
Picciano, A. G. (2012). The evolution of big data and learning analytics in American higher education. Journal of Asynchronous Learning Networks, 16(3), 9-20.
Toetenel, L., & Rienties, B. (2016). Analyzing 157 learning designing using learning analytics approaches as a means to evaluate the impact of pedagogical decision making. British Journal of Educational Technology, 74(5), 981-992.
Verbert, K., Manouselis, N., Drachsler, H., & Duval, E. (2012). Dataset-driven research to support learning and knowledge analytics. Educational Technology & Society, 15(3), 133-148.