From crisis to capacity: Lessons learned from youth e-mentoring during the COVID-19 pandemic

Kate Wright, Deborah K. Levine, Maritza Salcido, Michael Garringer, Tselza Almendra, Alicia Bazell, Michelle R. Kaufman

Research output: Contribution to journalArticlepeer-review

Abstract

The COVID-19 pandemic and associated need for social isolation left in-person youth mentoring programs scrambling to keep mentees and mentors connected, and many programs turned to e-mentoring. To better understand the transition period and to inform e-mentoring practice in a post-COVID world, this study explored the experience of mentoring programs shifting to e-mentoring during the first year of the pandemic. Seven remote focus group discussions were conducted with twenty-three staff members from twenty U.S. youth mentoring organizations that used the iCouldBe e-mentoring platform during Spring/summer 2020 or Fall/Winter 2020–2021. Thematic content analysis was used to uncover insights from the data. E-mentoring was successful overall for keeping mentees and mentors in touch, especially for matches with a strong connection before the pandemic. Zoom and text messaging were the most used virtual communication methods. Programs faced many challenges but also experienced unexpected positives, including a strong interest in future e-mentoring implementation. Participants recommended that programs interested in e-mentoring start small and with intention; they also requested a central website with e-mentoring support and ways to connect with other programs and mentors. Although the literature on e-mentoring remains limited, this study contributes a picture of e-mentoring success even during a global crisis.

Original languageEnglish (US)
Article number100400
JournalComputers in Human Behavior Reports
Volume14
DOIs
StatePublished - May 2024

Keywords

  • Adult mentors
  • COVID-19
  • Virtual mentoring
  • Youth mentees
  • Youth mentoring
  • e-mentoring

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Applied Psychology
  • Human-Computer Interaction
  • Computer Science Applications
  • Cognitive Neuroscience
  • Artificial Intelligence

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