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2019 ASEE Annual Conference & Exposition

Adoption of an Online Queue App for Higher Education: A Case Study

Presented at NEE 1 - Innovative Teaching & Learning Strategies

A major concern with increasing student numbers is maintaining the quality of the student experience. Faculty employ both pedagogical approaches and educational technologies to reach ever-increasing numbers of students. While numerous approaches have been successfully deployed in the classrooms of large enrollment courses (for example, iClickers), office hours are often administered in the traditional method which does not account for, nor take advantage of, large student enrollments. As our large courses continue to grow larger, office and lab hours become crowded. Traditionally, students raise their hand or add their name to a whiteboard list to get assistance from course staff. In these settings, course staff may find themselves repeatedly answering the same or similar questions. Students may wait for long periods before getting help from an instructor. Shy students may be hesitant to ask for help or be overpowered by more aggressive personalities. While some office hours are crowded, others have very few students coming in, and rarely do we capture any analytics on utilization or usefulness of these one-to-one interactions with students.

To facilitate office hours in large courses, we have previously described the development of an online queuing software for educational use. While the tool was initially developed for office hours in large enrollment courses, the Queue has been adopted in several additional use cases including advising, peer learning, and active learning. In these early adoption cases, we have identified benefits of implementing the Queue in educational settings, including saving time for students and instructors and expanding learning environments beyond classrooms and faculty offices. Further, the Queue can collect rich data that can help instructors identify common questions or “muddiest points”. Instructors can use this data to assess course delivery, content, and performance of course staff. Overall, these benefits and features of the Queue provide educators with an easy-to-use tool for working with large student numbers. Here we present our findings from combining user surveys and interviews to present the use of the Queue in diverse educational settings.

Authors
  1. Dr. Karin Jensen Orcid 16x16http://orcid.org/0000-0001-9456-5042 University of Illinois, Urbana-Champaign [biography]

    Karin Jensen, Ph.D. (she/her) is an assistant professor in biomedical engineering and engineering education research at the University of Michigan. Her research interests include student mental health and wellness, engineering student career pathways, and engagement of engineering faculty in engineering education research.

  2. Dr. Jennifer R. Amos Orcid 16x16http://orcid.org/0000-0002-9437-8201 University of Illinois, Urbana-Champaign [biography]

    Dr Amos joined the Bioengineering Department at the University of Illinois in 2009 and is currently a Teaching Professor in Bioengineering.

  3. Prof. Lawrence Angrave Orcid 16x16http://orcid.org/0000-0001-9762-7181 University of Illinois, Urbana Champaign [biography]

    Dr. Lawrence Angrave is an award-winning computer science Teaching Professor at the University of Illinois Urbana-Champaign. He creates and researches new opportunities for accessible and inclusive equitable education.

  4. Karle Flanagan University of Illinois at Urbana - Champaign [biography]

    Karle Flanagan is a Senior Instructor of Statistics at the University of Illinois at Urbana-Champaign. She has taught introductory statistics to thousands of students at UIUC since Spring of 2014. She also serves as the MS advisor for the statistics dep

  5. David Mussulman University of Illinois at Urbana - Champaign [biography]

    IT professional newly transitioned to teaching faculty. Engineering and Information Sciences.

  6. Dr. Christopher D. Schmitz Orcid 16x16http://orcid.org/0000-0002-9673-9832 University of Illinois, Urbana-Champaign [biography]

    Christopher D. Schmitz received his Ph.D. in Electrical and Computer Engineering from the University of Illinois in 2002.

  7. Prof. Wade Fagen-Ulmschneider Orcid 16x16http://orcid.org/https://0000-0002-7313-7708 University of Illinois, Urbana-Champaign [biography]

    Wade Fagen-Ulmschneider is a Teaching Assistant Professor of Computer Science at The University of Illinois at Urbana-Champaign (UIUC). With a passion for data, he serves as the lead instructor of CS 225 (Data Structures) and works with students on numerous data visualizations that have accumulated over 10,000,000 interactions. In 2016, he was selected as one of the National Academy of Engineering's Frontiers of Engineering Education scholars; in 2017, he was awarded the Collins Award for Innovative Teaching; and he has been consistently ranked as an excellent instructor by his students for the past ten years.

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