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Learning Analytics Internship

EFR 595
Closed
University of North Dakota (UND)
University of North Dakota (UND)
University of North Dakota (UND) - College of Education and Human Development Grand Forks, North Dakota, United States
Robert Stupnisky
Robert Stupnisky
Professor
2
General
  • Graduate
  • 1 learner; individual projects
  • 50 hours per learner
  • Dates set by experience
  • Learners self-assign
Preferred companies
  • 1 projects wanted
  • Grand Forks, North Dakota, United States
  • Academic experience
  • Any
  • Any
Categories
Other Data visualization Data analysis
Skills
learning analytics student engagement pedagogy online communication apache spark
Project timeline
  • January 9, 2022
    Experience start
  • January 11, 2022
    Project Scope Meeting
  • May 29, 2022
    Experience end
Overview
Details

Looking to elevate your organization, and bring it to the next level? Bring on students from the University of North Dakota to be your virtual interns, in a project-based experience. Students will work on one or more projects of your choosing over the internship period, connecting with you as needed with virtual communication tools.

Learner skills
Learning analytics, Student engagement, Pedagogy, Online communication, Apache spark
Deliverables

Learning Analytics Internship Goals:

1. Measure student engagement and “learning” in the course (especially Early Alert, Midterm)

2. Measure effectiveness of pedagogy in online course (especially End of Year)

3. Spark interest in faculty utilization of learning analytics

4. Intern skill development and experience

Project Examples

Students can complete a substantial project for your organization over the placement period. We suggest providing a starting project, but as the placement goes on there may be other duties or projects the student is asked to complete as well. Providing a central project creates structure for the internship, and gives the student (and company) a tangible goal.

Timeline

- Intern will have 4-5 meetings with each faculty member

1. Set up BB course

  • Faculty open courses on January 10th (an early Monday in January)
  • Intern meets all faculty as a group in first week of January (Jan 3-7) to set up course.

2. Present results of analysis 1 (prior to first Starfish report)

  • Faculty asked for “Early Alert” in late Jan to early Feb (e.g., 1/25/2019 to 2/3/2019)
  • Intern meets with faculty individually

3. Present results of analysis 2 (prior to second Starfish report)

  • Faculty asked for “Midterm Report” late Feb to early March (e.g., 2/28/2020 to 3/8/2020)
  • Intern meets with faculty individually

4. Present results of analysis 3 (after conclusion of course)

  • Faculty finish courses on May 5, finals week goes until 13 th (first week of May)
  • Intern meets with faculty at end of May to share final analysis
Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

A representative of the company will be available for a pre-selection discussion with the administrator of the course to review the project scope.

A representative of the company will be available to answer questions from students in a timely manner for the duration of the project.