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Development and Satisfaction of a Mentoring-Match Algorithm

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Title: Development and Satisfaction of a Mentoring-Match Algorithm
Language: English
Authors: Tolu O. Oyesanya (ORCID 0000-0001-8821-4510), Julie Faieta, Stephanie L. Silveira, Alison M. Cogan (ORCID 0000-0002-6800-1988), Monique R. Pappadis, Zaccheus J. Ahonle, Deborah Backus, Stephanie Kolakowsky-Hayner, Pamela Roberts
Source: Mentoring & Tutoring: Partnership in Learning. 2025 33(4):485-500.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Mentors, Supervisor Supervisee Relationship, Algorithms, Rehabilitation, Interdisciplinary Approach, Satisfaction, Allied Health Personnel
DOI: 10.1080/13611267.2025.2519908
ISSN: 1361-1267
1469-9745
Abstract: The purpose of this study was to describe development, application, and satisfaction of a mentoring match algorithm created for the ACRM CDNG Leadership Mentoring Program. We conducted sequential, mixed methods evaluation of a mentoring-match algorithm. Interdisciplinary rehabilitation professionals participated in the program as mentees and mentors. We assessed mentoring matches made and frequency of mentees being matched with their first, second, or third recommended mentor. We also conducted focus groups to explore satisfaction with mentoring matches. There were 13 mentoring matches made (26 participants: 13 mentees and 13 mentors), including 7 mentees (53.8%) matched with their first recommended mentor, 5 (38.7%) with their second, and 1 (7.6%) with their third. Key qualitative findings included quality and structure of the mentoring matches and recommendations for improvements. This novel, interdisciplinary mentoring match algorithm shows promise for use across disciplines, settings, and organizations. More research is needed to evaluate program outcomes.
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1492986
Database: ERIC
FullText Text:
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PubType: Academic Journal
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  Data: Development and Satisfaction of a Mentoring-Match Algorithm
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  Data: English
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  Data: <searchLink fieldCode="AR" term="%22Tolu+O%2E+Oyesanya%22">Tolu O. Oyesanya</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0001-8821-4510">0000-0001-8821-4510</externalLink>)<br /><searchLink fieldCode="AR" term="%22Julie+Faieta%22">Julie Faieta</searchLink><br /><searchLink fieldCode="AR" term="%22Stephanie+L%2E+Silveira%22">Stephanie L. Silveira</searchLink><br /><searchLink fieldCode="AR" term="%22Alison+M%2E+Cogan%22">Alison M. Cogan</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-6800-1988">0000-0002-6800-1988</externalLink>)<br /><searchLink fieldCode="AR" term="%22Monique+R%2E+Pappadis%22">Monique R. Pappadis</searchLink><br /><searchLink fieldCode="AR" term="%22Zaccheus+J%2E+Ahonle%22">Zaccheus J. Ahonle</searchLink><br /><searchLink fieldCode="AR" term="%22Deborah+Backus%22">Deborah Backus</searchLink><br /><searchLink fieldCode="AR" term="%22Stephanie+Kolakowsky-Hayner%22">Stephanie Kolakowsky-Hayner</searchLink><br /><searchLink fieldCode="AR" term="%22Pamela+Roberts%22">Pamela Roberts</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Mentoring+%26+Tutoring%3A+Partnership+in+Learning%22"><i>Mentoring & Tutoring: Partnership in Learning</i></searchLink>. 2025 33(4):485-500.
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
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  Data: Y
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  Data: 16
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  Data: 2025
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Mentors%22">Mentors</searchLink><br /><searchLink fieldCode="DE" term="%22Supervisor+Supervisee+Relationship%22">Supervisor Supervisee Relationship</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Rehabilitation%22">Rehabilitation</searchLink><br /><searchLink fieldCode="DE" term="%22Interdisciplinary+Approach%22">Interdisciplinary Approach</searchLink><br /><searchLink fieldCode="DE" term="%22Satisfaction%22">Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Allied+Health+Personnel%22">Allied Health Personnel</searchLink>
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  Data: 10.1080/13611267.2025.2519908
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  Data: 1361-1267<br />1469-9745
– Name: Abstract
  Label: Abstract
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  Data: The purpose of this study was to describe development, application, and satisfaction of a mentoring match algorithm created for the ACRM CDNG Leadership Mentoring Program. We conducted sequential, mixed methods evaluation of a mentoring-match algorithm. Interdisciplinary rehabilitation professionals participated in the program as mentees and mentors. We assessed mentoring matches made and frequency of mentees being matched with their first, second, or third recommended mentor. We also conducted focus groups to explore satisfaction with mentoring matches. There were 13 mentoring matches made (26 participants: 13 mentees and 13 mentors), including 7 mentees (53.8%) matched with their first recommended mentor, 5 (38.7%) with their second, and 1 (7.6%) with their third. Key qualitative findings included quality and structure of the mentoring matches and recommendations for improvements. This novel, interdisciplinary mentoring match algorithm shows promise for use across disciplines, settings, and organizations. More research is needed to evaluate program outcomes.
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  Data: 2026
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  Data: EJ1492986
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1492986
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      – Text: English
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        PageCount: 16
        StartPage: 485
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      – SubjectFull: Mentors
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      – SubjectFull: Supervisor Supervisee Relationship
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      – SubjectFull: Algorithms
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      – SubjectFull: Rehabilitation
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      – SubjectFull: Satisfaction
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      – SubjectFull: Allied Health Personnel
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