Regulation and Accreditation Requirements for Preceptor Use in Undergraduate Education
Bibliographic record
Abstract
How to Obtain Contact Hours by Reading this Issue Instructions: 1.1 contact hours will be awarded by Villanova University College of Nursing upon successful completion of this activity. A contact hour is a unit of measurement that denotes 60 minutes of an organized learning activity. This is a learner-based activity. Villanova University College of Nursing does not require submission of your answers to the quiz. A contact hour certificate will be awarded once you register, pay the registration fee, and complete the evaluation form online at https://villanova.gosignmeup.com/dev_students.asp?action=browse&main=Nursing+Journals&misc=564 . In order to obtain contact hours you must: 1. Read the article, “Regulation and Accreditation Requirements for Preceptor Use in Undergraduate Education,” found on pages 386–390, carefully noting any tables and other illustrative materials that are included to enhance your knowledge and understanding of the content. Be sure to keep track of the amount of time (number of minutes) you spend reading the article and completing the quiz. 2. Read and answer each question on the quiz. After completing all of the questions, compare your answers to those provided within this issue. If you have incorrect answers, return to the article for further study. 3. Go to the Villanova website to register for contact hour credit. You will be asked to provide your name, contact information, and a VISA, MasterCard, or Discover card number for payment of the $20.00 fee. Once you complete the online evaluation, a certificate will be automatically generated. This activity is valid for continuing education credit until August 31, 2016. Contact Hours This activity is co-provided by Villanova University College of Nursing and SLACK Incorporated. Villanova University College of Nursing is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation. Objectives Identify issues related to the use of preceptors in prelicensure nursing education. Describe the regulatory and accreditation standards of Boards of Nursing and national accrediting bodies to enhance the use of preceptors in undergraduate nursing education. Disclosure Statement Neither the planners nor the authors have any conflicts of interest to disclose. Background: Nurse preceptors are widely used in pre-licensure RN education to facilitate the educational process. Often, these preceptors are staff nurses employed by clinical agencies. Currently, there are no standardized guidelines for qualifications, roles and responsibilities, or best practices. Method: Systematic website review was conducted of all Boards of Nursing and nursing accrediting bodies in the United States and Canada. Results: Seven categories of information were identified: preceptor qualifications, faculty and nursing program role, curriculum placement, written policies, ratios, orientation, and preceptor availability. Conclusion: Research is needed to document issues and current practices to create a model of best practices in preceptor orientation and use, as well as faculty supervision in prelicensure nursing education. J Contin Educ Nurs. 2014;45(9):386–390.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".