A multifaceted comprehensive student success plan for accelerated BSN students in a concept-based curriculum

Barrett, Trina; Jacob, Susan

doi:10.1016/j.teln.2020.11.003

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Barrett and Jacob [ 21 ] proposed a student success plan (SSP) for nursing colleges that uses a concept-based curriculum. Learning tools are used here to provide access to Internet-based services for the students.…”

Section: Related Workmentioning

confidence: 99%

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[Retracted] Nursing Teaching Curriculum Setting by Introducing Postcompetency Model under the Vision of Internet Informatization

Lan

Men

2022

Contrast Media & Molecular Imaging

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The nursing curriculum is to be modernized to improve the student’s skills in meeting the recent trends in medical and healthcare fields. The curriculum improvements are based on expert recommendations, authors, and informative data from different web sources. The challenging task is to improve the readability and understandability of the curriculum to real-time standards. Considering the above facts, this article introduces a refined curriculum with Internet information analysis (RC-IIA) method. The proposed method incorporates the distributed Internet, journal, and previous curriculum information within the active nursing syllabus. This prevents repetitions and less-informative content within the active curriculum. Besides, classification learning for knowledge-based representations is used within the curriculum to improve competency. Based on the refined information, a recommendation-based curriculum is preferred for varying information across different standards. The proposed analysis method relies on existing and distributed information across multiple curriculum providers for leveraging the visibility and prolonging the stealth of the nursing curriculum.

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Section: Related Workmentioning

confidence: 99%

“…The comparative assessment for the proposed method is performed alongside the existing AHP-Fuzzy [ 25 ], SSP-CC [ 21 ], and LKQ-CC [ 26 ] methods. The assessment for visibility, recommendation, information refinement, representation ratio, and model latency is provided by varying the R and ρ .…”

Section: Comparative Assessmentmentioning

confidence: 99%