Background: The defining attributes of intentional learning match the needed characteristics of students in competency-based education (CBE). The Learning Orientation Questionnaire measures these characteristics and can be used to facilitate improvement in these attitudes and skills, which results in higher order thinking and lifelong learning.
Method: A longitudinal study was performed with nursing students ( = 53) to determine if intentional learning scores continued to improve over time and were associated with student performance.
Results: These students had significantly higher intentional learning scores at the end of the program than at the end of the second semester ( < .001). Intentional learning scores were not associated with student performance at the end of the program ( = .473).
Conclusion: As nursing programs transition to CBE, intentional learning theory can be used to support students. Nursing programs are advancing these characteristics but will need to do so earlier as they implement CBE. .
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http://dx.doi.org/10.3928/01484834-20240426-02 | DOI Listing |
Comput Inform Nurs
January 2025
Author Affiliations: Division of Hematology and Medical Oncology, Department of Internal Medicine, Wan Fang Hospital (Dr Chang), Department of Internal Medicine, School of Medicine, College of Medicine (Dr Chang), School of Nursing, College of Nursing (Tsai, Dr Huang), and Department of Nursing (Tsai, Lu, Huang) and Research Center in Nursing Clinical Practice (Tsai, Dr Huang), Wan Fang Hospital, Department of Nursing (Chan), and Cochrane Taiwan, Taipei Medical University (Dr Huang), Taipei, Taiwan; Department of Nursing, Faculty of Medicine, Universitas Pendidikan Ganesha, Bali, Indonesia (Gautama).
Virtual reality technology offers an extended and repeatable environment for delivering digital learning and training. This study investigated the acceptance of a smartphone virtual reality training program among nursing students for chemotherapy administration using a modified Technology Acceptance Model. The teaching materials for the chemotherapy administration process were designed using smartphone virtual reality to provide prelicensure students with an opportunity to learn procedural steps in a controlled, risk-free environment.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon.
In human activity-recognition scenarios, including head and entire body pose and orientations, recognizing the pose and direction of a pedestrian is considered a complex problem. A person may be traveling in one sideway while focusing his attention on another side. It is occasionally desirable to analyze such orientation estimates using computer-vision tools for automated analysis of pedestrian behavior and intention.
View Article and Find Full Text PDFEntropy (Basel)
December 2024
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300384, China.
Brain-computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. However, traditional intention-recognition methods face several challenges, such as prolonged training times and limited cross-subject adaptability, which restrict their practical application. This paper proposes an innovative method that combines a lightweight convolutional neural network (CNN) with domain adaptation.
View Article and Find Full Text PDFHealth Educ Behav
January 2025
NYU, New York, NY, USA.
Heavy drinking is a major public health concern, particularly among young adults who often experience fear of being stigmatized when seeking help for alcohol-related problems. To address drinking concerns outside clinical settings, we tested the feasibility of a novel imagery-based behavior change strategy led by student lay interventionists in a college setting. Participants were adults recruited on a college campus and were randomized to either learn the four steps of WOOP (Wish, Outcome, Obstacle, and Plan) or to learn a format-matched Sham WOOP (Wish, Outcome, "Outcome," and Plan).
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Yale Jackson School of Global Affairs, Yale University, New Haven, CT 06511.
The recent COVID-19 pandemic offers a rare opportunity to understand how citizens attribute responsibility for governments' responses to unanticipated negative-and in this case, systemic-exogenous shocks. Classical accounts of responsibility are complicated when crises are pervasive, involve multiple valence dimensions, and where individuals can make relative assessments of performance. We fielded a conjoint experiment in 16 countries with 22,147 respondents.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!