Student Experiences Learning with Technology in the Pandemic

Methodology and Acknowledgments

Methodology

In 2020, in response to the pandemic, EDUCAUSE Research conducted a special fall study of undergraduate students and information technology to shed light on how IT affects the college/university experience. The undergraduate students and technology studies rely on students recruited from the enrollment of institutions that volunteer to participate in the project. After institutions secured local approval to participate in the fall 2020 study (e.g., successfully navigating the IRB process) and submitted sampling plan information, they received a link to the current year's survey. An institutional representative then sent the survey link to students in the institution's sample. Data were collected between October 14, 2020, and December 14, 2020, and 9,499 students from 58 institutional sites responded to the survey. The dataset to produce this report is based on responses from 8,392 students from 54 institutions (see tables M1 and M2). Colleges and universities use data from the EDUCAUSE Technology Research in the Academic Community (ETRAC) student and faculty surveys to develop and support their strategic objectives for educational technology. With ETRAC data, institutions can understand and benchmark what students and faculty need and expect from technology. There is no cost to participate. Campuses will have access to all research publications, the aggregate-level summary/ benchmarking report, and the institution's raw (anonymous) response data.

Table M1. Summary of institutional participation and response rates, by institution type

Institution Type Institution Count Response Count Percentage of Total Responses US Percentage

AA

4

614

6%

7%

BA Public

16

91

1%

1%

BA Private

0

0

0%

0%

MA Public

15

3,856

41%

46%

MA Private

4

736

8%

9%

DR Public

12

2,785

29%

33%

DR Private

3

310

3%

4%

Total US

54

8,392

88%

100%

Non-US

4

1,107

12%

-

Grand Total

58

9,499

100%

-

Responses were neither sampled nor weighted. Comparisons by student type and institution type are included in the findings when there are meaningful differences, and all statements of significance are at the 0.001 level unless otherwise noted. Findings from past EDUCAUSE Research studies are also included, where applicable, to characterize longitudinal trends.

Table M2. Demographic breakdown of survey respondents

Basic demographics US Institutions Non-US Institutions All Institutions

Gender

Female

70%

66%

70%

Male

30%

34%

30%

Age

18–24

76%

79%

76%

25+

24%

21%

24%

Class Standing

Freshman or first-year student

27%

37%

28%

Sophomore or second-year student

21%

22%

21%

Junior or third-year student

22%

17%

22%

Senior or fourth-year student

22%

15%

21%

Fifth-year student or beyond

5%

5%

5%

Other type of undergraduate student

4%

4%

4%

Ethnicity

White

63%

n/a

63%

Black/African American

6%

n/a

6%

Asian/Pacific Islander

8%

n/a

8%

Hispanic/Latino

11%

n/a

11%

Other or multiple

12%

n/a

12%

Full or Part Time

Full time

84%

81%

84%

Part time

16%

19%

16%

First-Generation College Student

No

71%

75%

71%

Yes

29%

25%

29%

Pell Grant Eligible

No

35%

n/a

35%

Yes

36%

n/a

36%

Don't know

29%

n/a

29%

Live On or Off Campus

Off campus

76%

95%

78%

On campus

24%

5%

22%

Acknowledgments

The work that goes into producing the ETRAC reports each year is considerable. From planning through publication, the process would not be possible without the insight, cooperation, and support of various stakeholders in higher education. In this space, we pause to acknowledge the contributions of those who have made the fall 2020 student study possible.

First, EDUCAUSE Research would like to thank the 9,499 undergraduate students who completed the fall 2020 survey, giving us the precious data we need to conduct our analyses. Second, we thank the student survey administrators whose behind-the-scenes collaborative efforts to secure approval to administer the survey, to create the sampling plans, and to distribute the survey links to the populations are mission-critical to this project. Third, we thank by name the individuals who contributed their experience, knowledge, and time as subject-matter experts and whose feedback, comments, and suggestions throughout the life cycle of this project improved the quality of this report immensely. They are, in alphabetical order:

  • Jason Jones, Trinity College
  • Wiebke Kuhn, Carleton College
  • Virginia Lacefield, University of Kentucky
  • Patsy Moskal, University of Central Florida
  • Lee Skallerup Besette, Georgetown University
  • Jennifer Sparrow, Penn State
  • Jane Russell, University of Iowa

Next, we would like to thank the individuals who supplied us with the Peers You Can Connect With information that highlights important work being done to support teaching and learning. They are, in alphabetical order:

  • Cecilia Gomez, University of California, Davis
  • Nicole Landowski, University of Washington
  • Kem Saichaie, University of California, Davis
  • Kate Sonka, Michigan State University
  • Stephen Thomas, Michigan State University
  • Jeremy Van Hof, Michigan State University
  • Peter Wallis, University of Washington

Finally, we want to acknowledge our current and former EDUCAUSE colleagues for their contributions to these reports. Special thanks go to colleagues who offered their subject-matter expertise in multiple reviews of these reports: Malcolm Brown, Brian Kelly, and Kathe Pelletier. Considerable thanks go to Ben Shulman, whose attention to detail is surpassed only by his statistical acumen and whose contributions to making sure that our analyses are appropriate and accurate are invaluable. Thanks are also due to Susan Grajek and Mark McCormack for their careful reviews, insight, and advice in finalizing the report. We also want to thank Kate Roesch for her data visualization and for creating figures that none of us could conceive or execute without her expertise; she renders our data and messages more accessible, vibrant, and impactful. Thank you to Leah Lang, who manages the ETRAC service and portal, for her commitment to providing a user-friendly experience for participants and ensuring that institutional participation remains high each year. Alison Smith made our data dreams come true with expert facilitation of content creation, and Thomas Rosa administered the survey, cleaned and investigated copious amounts of data, and contributed to the methodology section of the report. We owe a debt of gratitude to Gregory Dobbin and the publications team for their attention to detail, command of the written word, and guidance during the editorial process. Finally, many thanks to Connie Ferger and her marketing colleagues for helping us to shape and broadcast the message, and making our work available to the wider world.