Background Instructors used generative artificial intelligence (AI) as a teaching tool in a third-year baccalaureate nursing leadership course to help students understand and critique a change management proposal. Method Instructors used generative AI to develop a sample section of a change proposal for students to critique in class followed by a class discussion. Results Using generative AI enabled instructors to quickly develop a sample section of a change proposal for students to critique. During this learning activity, students recognized the importance of verifying information generated by AI sources for accuracy with evidence-informed sources. Students reported that critically appraising the sample provided clarity on the assignment. Conclusion Leveraging generative AI in the classroom is a time-effective way for instructors to create learning activities for students, clarify the expectations for the assignment, and promote the importance of verifying information from AI sources. [ J Nurs Educ . 2024;63(X):XXX–XXX.]

LGBTQIA+ (lesbian, gay, bisexual, trans-gender, queer or questioning, intersex, asexual), and gender-nonconforming (GNC) individuals have limited access to quality care, leading to health disparities. Lack of training and implicit bias are significant contributors to discrimination. Nursing schools must provide opportunities for student interaction with vulnerable populations, and interacting with transgender and GNC individuals during clinical experiences may be challenging. Simulated experiences offer opportunities for students to develop clinical competencies. Students participated in a simulation on caring for transgender and GNC populations. Students participated in a prebriefing session, viewed a simulation video, and engaged in a debriefing session. Participants completed a pre- and postsurvey to assess their knowledge and perceived confidence. Students' confidence in providing gender affirming care was improved by the activity. Students prioritize providing competent care to vulnerable populations. In-class simulation is an effective method for improving students' clinical competencies in a safe, nonjudgmental setting. [J Nurs Educ. 2024;63(4):241-246.].

Education providers teach numeracy to undergraduate nursing students using a diverse range of approaches. Proficiency in numeracy skills is critical for patient safety; however, alarmingly, the accuracy rate of calculations by both undergraduate nurses and RNs is reported to be low. The literature search yielded 1,180 articles published between 1994 and 2022. The assessment of the studies was reported using the PRIMSA extension for Scoping Reviews. Thirty-nine articles were included in the review. A diverse range of approaches were used to teach numeracy including learning theory, methods of calculation, learning environment, and examination aids. This review highlights the plethora of approaches for teaching numeracy within undergraduate nursing education. Internationally, there were limited studies on the most effective teaching approaches; therefore, developing a robust evidence-based numeracy framework would be beneficial to guide non-nursing instructors in teaching undergraduate nurses. [J Nurs Educ. 2024;63(4):218-227.].

The introduction of the Next Generation NCLEX (NGN) necessitates the need to prepare students to demonstrate appropriate clinical judgment and reasoning. Innovative teaching strategies, such as the use of QR codes, may help to engage learners and promote the transition to the new NCLEX testing format. A three-phase pediatric-based case study was used to introduce NGN style questions. The QR codes provided resources, answers, and rationales for the case study questions. The students reported an increase in perceived confidence with a case study-based NGN testing item. Student feedback was positive for this active and collaborative learning experience. Nurse educators are challenged with finding methods to engage learners and prepare students for practice. Using QR codes in the classroom is an innovative approach to expose students to NGN questions and may help increase students confidence as they prepare for the new NGN. [J Nurs Educ. 2024;63(3):186-187.].

Climate change is a recognized global threat to human health, and nurses must be prepared to mitigate its negative effects. This article describes nursing student and faculty opinions about climate change and associated planetary health curricular needs. A survey including the Six Americas Super Short Survey and an adaptation of the Planetary Health Report Card was developed and emailed to nursing students and faculty. Student (n = 72) and faculty (n = 56) responses showed that although they were concerned about climate change, they were not confident in preparation of nurses student to climate change and its impact. Students and faculty shared perceptions about specific curricular areas are to be included in curricula. In response to the updated Essentials, which include specific reference to climate change, widespread curricular change is imminent in nursing education. This study offers insight for integrating climate change and planetary health into nursing curricula. [J Nurs Educ. 2024;63(3):178-181.].

This article examines the potential of generative artificial intelligence (AI), such as ChatGPT (Chat Generative Pre-trained Transformer), in nursing education and the associated challenges and recommendations for their use. Generative AI offers potential benefits such as aiding students with assignments, providing realistic patient scenarios for practice, and enabling personalized, interactive learning experiences. However, integrating generative AI in nursing education also presents challenges, including academic integrity issues, the potential for plagiarism and copyright infringements, ethical implications, and the risk of producing misinformation. Clear institutional guidelines, comprehensive student education on generative AI, and tools to detect AI-generated content are recommended to navigate these challenges. The article concludes by urging nurse educators to harness generative AI's potential responsibly, highlighting the rewards of enhanced learning and increased efficiency. The careful navigation of these challenges and strategic implementation of AI is key to realizing the promise of AI in nursing education. [J Nurs Educ. 2024;63(X):XXX-XXX.].

Intergenerational differences in perceptions related to civility among nursing students and nurse educators were explored. A convenience sample of 13 students and 10 educators were interviewed in this descriptive qualitative study. Both groups defined civility as kindness, collaboration, and respect. Educators described civil students as being open to learning, polite, appreciative, and gracious. Students described civil educators as listening without judgment and being supportive and respectful. Educators described uncivil students as being disrespectful and entitled, and improperly using social media. Students described uncivil educators as belittling and impatient, and failing to listening. Respect was the strongest theme for both students and educators. In describing civil acts, students focused on cooperation to accomplish classroom and clinical tasks, whereas educators focused on productive classroom behaviors. More research on intergenerational differences is needed to help nurse educators develop interventions that allow faculty to view civility from a student perspective. [J Nurs Educ. 2024;63(2):86-92.].

An accelerated Bachelor of Science in Nursing (ABSN) program was introduced in an effort to reduce the nursing shortage in response to the growing health demands. Nursing educators strive to examine factors that promote students' success in passing the National Council Licensure Examination for Registered Nurses (NCLEX-RN) on their first attempt. However, little is known about which factors predict the NCLEX-RN first-time pass rate of ABSN students. This descriptive retrospective study examined academic and nonacademic indicators (e.g., age) that can predict ABSN students' NCLEX-RN first-time pass rates between 2008 and 2019. A total of 591 ABSN students were included in the study. Both GRE (Graduate Record Examination) verbal reasoning scores (p < .001) and cumulative grade point averages (p < .001) were significant predictors. The findings of this study can help inform ABSN programs in terms of admission criteria and curriculum consideration for including standardized tests to improve ABSN students' NCLEX-RN first-time pass rate. [J Nurs Educ. 2024;63(1):10-16.].