Cited by 8Innovations in Medical EducationE-Learning and COVID-19Online and Blended Learning

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Optimizing e-Learning in CPD: Preferences and Perceptions of Health Professionals

Samuel, Anita, Cervero, Ronald M., King, Beth, Durning, Steven J.·2025·Journal of Continuing Education in the Health Professions

Abstract

Introduction: Continuing professional development for health professionals increasingly relies on e-learning. However, there is insufficient research into the instructional strategies health professionals prefer to engage with in e-learning. An empirical study was undertaken to answer the research question: What instructional strategies do learners prefer in e-learning modules to improve their learning experience? Methods: The Department of Health Professions Education at the Uniformed Services University of Health Sciences developed six, stand-alone, self-paced modules for health professionals focusing on education and leadership. The module evaluation survey consisted of six Likert scale questions and two open-ended questions. Responses from these anonymized module evaluations from 2019 to 2022 were analyzed. Descriptive statistics for the Likert scale questions were calculated. Responses to the two open-ended questions were compiled and analyzed thematically. Results: All survey respondents found the content of the modules helpful and met their stated learning objectives. A majority (94%) agreed or strongly agreed that readings and videos increased their knowledge in the topic area and that quizzes effectively strengthened their understanding of the topics. Four themes emerged from the qualitative data: pedagogical strategies, technology issues, feedback and interaction, and transfer of learning. Conclusions: This study foregrounds the voice of the learner, which emphasizes health professionals' preference for instructional strategies that align with their needs as adult learners. The findings highlight the value of content relevance, expert creation, and authentic examples in enhancing learner satisfaction.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/ceh.0000000000000570

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Show all 2 references

Research works printed but not linked: 25

  1. Al-Balas, 2020, Distance learning in clinical medical education amid COVID-19 pandemic in Jordan: current situation, challenges, and perspectives, BMC Med Educ, 20, 341, 10.1186/s12909-020-02257-4 · DOI
  2. Ruggeri, 2013, A global model for effective use and evaluation of e-learning in health, Telemed J E-health, 19, 312, 10.1089/tmj.2012.0175 · DOI
  3. Cook, 2008, Internet-based learning in the health professions: a meta-analysis, JAMA, 300, 1181, 10.1001/jama.300.10.1181 · DOI
  4. Rouleau, 2019, Effects of e-learning in a continuing education context on nursing care: systematic review of systematic qualitative, quantitative, and mixed-studies reviews, J Med Internet Res, 21, e15118, 10.2196/15118 · DOI
  5. Sinclair, 2016, The effectiveness of Internet-based e-learning on clinician behaviour and patient outcomes: a systematic review, Int J Nurs Stud, 57, 70, 10.1016/j.ijnurstu.2016.01.011 · DOI
  6. Williams, 2023, Learning outcomes and educational effectiveness of e-learning as a continuing professional development intervention for practicing surgeons and proceduralists: a systematic review, J Surg Educ, 80, 1139, 10.1016/j.jsurg.2023.05.017 · DOI
  7. Zhang, 2022, Effectiveness of electronic learning for continuing interprofessional education on behavior change of healthcare professionals: a scoping review, J Interprof Care, 37, 807, 10.1080/13561820.2022.2071850 · DOI
  8. Cook, 2010, What do we mean by web-based learning? A systematic review of the variability of interventions, Med Educ, 44, 765, 10.1111/j.1365-2923.2010.03723.x · DOI
  9. Regmi, 2020, A systematic review of the factors – enablers and barriers – affecting e-learning in health sciences education, BMC Med Educ, 20, 91, 10.1186/s12909-020-02007-6 · DOI
  10. He, 2022, Learning satisfaction of learners and curriculum design under different online teaching platforms, Int J Emerging Tech Learn, 17, 227, 10.3991/ijet.v17i10.30937 · DOI
  11. Nortvig, 2018, A literature review of the factors influencing e-learning and blended learning in relation to learning outcome, student satisfaction and engagement, Electron J E-learning, 16, 46
  12. Miyazoe, 2013, Interaction equivalency in an OER, MOOCS and informal learning era, J Interactive Media Educ, 2013, 9, 10.5334/2013-09 · DOI
  13. Nixon, 2001, Rapid prototyping in the instructional design process, Perform Improvement Q, 14, 95, 10.1111/j.1937-8327.2001.tb00220.x · DOI
  14. Rudolph, 2017, Cognitive theory of multimedia learning, J Online Higher Educ, 1, 1
  15. Kirschner, 2002, Cognitive load theory: implications of cognitive load theory on the design of learning, Learn Instruction, 12, 1, 10.1016/S0959-4752(01)00014-7 · DOI · Paper page
  16. Wurth, 2023, Development of complex pedagogical competencies and reflexivity in clinical teachers via distance learning: a mixed methods study, Med Educ Online, 28, 2265163, 10.1080/10872981.2023.2265163 · DOI
  17. Zhu, 2022, Fostering self-directed learning in MOOCs: motivation, learning strategies, and instruction, Online Learn, 26, 153, 10.24059/olj.v26i1.2629 · DOI
  18. Khalil, 2014, MOOCs completion rates and possible methods to improve retention: a literature review, EdMedia+ Innovate Learn, 23, 1305
  19. Kavadella, 2013, Recommendations for the development of e‐modules for the continuing professional development of European dentists, Eur J Dent Educ, 17, 45, 10.1111/eje.12039 · DOI
  20. Knowles, 1978, Andragogy: adult learning theory in perspective, Community Coll Rev, 5, 9, 10.1177/009155217800500302 · DOI
  21. Naeem, 2023, Understanding the functional components of technology-enhanced learning environment in medical education: a scoping review, Med Sci Educ, 33, 595, 10.1007/s40670-023-01747-6 · DOI
  22. Song, 2016, Motivational factors in self-directed informal learning from online learning resources, Cogent Educ, 3, 1205838, 10.1080/2331186X.2016.1205838 · DOI
  23. Moore, 1989, Editorial: three types of interaction, Am J Distance Educ, 3, 1
  24. Samuel, 2022, Using the critical incident questionnaire as a formative evaluation tool to inform online course design: a qualitative study, Int Rev Res Open Distributed Learn, 23, 151, 10.19173/irrodl.v23i2.5959 · DOI
  25. Boateng, 2018, Best practices for developing and validating scales for health, social, and behavioral research: a primer, Front Public Health, 6, 149, 10.3389/fpubh.2018.00149 · DOI · Paper page

Metadata

Authors
Samuel, A., Cervero, R. M., King, B., & Durning, S. J.
Affiliations
Uniformed Services University of the Health Sciences (US)
Corresponding author
Samuel, Anita
Venue
Journal of Continuing Education in the Health Professions
Published
2024-09-12
Volume
45
Issue
1
Pages
28-34
ISSN
  • 0894-1912 (ISSN-L)
  • 1554-558X
OpenAlex
W4402483527
Cited by
8
References
2
Citations by year
2026: 2 · 2025: 6
FWCI
3.31
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Continuing Education in the Health Professions (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Education › Innovations in Medical Education
  • Social Sciences › Education › E-Learning and COVID-19
  • Social Sciences › Education › Online and Blended Learning
Keywords
online learning, continuing professional development, healthcare workers, teaching methods, learner preferences, adult learners, student satisfaction, transfer of learning, technology issues, leadership education
MeSH terms
Adult, Computer-Assisted Instruction, Education, Continuing, Female, Health Personnel, Humans, Male, Middle Aged, Perception, Surveys and Questionnaires, Education, Distance, Qualitative Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review