Re‐imagining of an undergraduate, second‐degree entry, accelerated nursing program's curriculum utilizing a postmodern, learner‐centred lens and a concept‐based framework
Bibliographic record
Abstract
INTRODUCTION: It is necessary to re-imagine nursing curriculums utilizing a postmodern approach, as outdated teacher-centred methods of nursing education with emphasis on memorization versus critical thinking no longer meet the needs of the contemporary learner and the current challenges of the healthcare environment. There is an explicit need to redesign nursing curriculums that are future-oriented, adaptive and flexible and serve the learners' best interests. BACKGROUND: Distilled from a decade of teaching experience in an undergraduate, second-degree entry, accelerated nursing program, this paper describes the construction of a learner-centred, postmodern, concept-based nursing curriculum that aims to foster learners' inquiry skills, critical thinking, problem-solving, and experiential learning-all which develop learners' autonomy, self-direction, and lifelong learning. The objective is to foster learners' transformational and emancipatory learning and metacognition. DISCUSSION: An extensive review of the current trends, contemporary nursing knowledge for the past decade (2013-2023), and seminal literature on theories and frameworks paralleled with the review of current and future trends in Canadian and global health care, including the socio-economic, politico and environmental contexts, led to the formulation of a concept-based curriculum. Grounded in the constructivist paradigm, the curriculum applies interperetivist, critical, feminist, and indigenous lenses. The Strength-Based Nursing framework was selected as the core guiding framework. The curriculum's four curricular themes and foundational pillars were adopted directly from the framework to provide a starting point for concept development. These initial themes were then juxtaposed with relevant nursing, and social theories, policies, and frameworks, ensuring a robust coverage of modern nursing knowledge and allowing for the core concepts of the curriculum to emerge. A total of 21 concepts and 192 sub-concepts were developed. CONCLUSION: Implications for future practice require nursing educators to receive support and professional development opportunities in developing skills and confidence in entering a classroom as co-learners and facilitators.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".