The Development of Educational Policy Acceptance Model

This study aims to develop an education policy acceptance model. Policy implementers need to implement education policies in the best possible way. However, due to the uncertainty of such situations, health, politics, and natural disasters, have an impact on the implementation of education policy and the quality of education. Thus, there is a need to determine what indicators can prevent this uncertainty and accept education policies to be implemented smoothly to guarantee the sustainability of the quality of education. This quantitative study was conducted to obtain research data. In this study, the researcher applied the concept of positivism. Finding shows there was a significant influence between the constructs of Attention Towards Use to Behavioral Intention through path analysis at significance level of 0.05 (β= 0.898, p<0.05) ; Perceived Useful to Attention Towards Use (β=0.152, p <0.05); Perceived Useful to Perceived of Ease (β= 0.789, p<0.05), and Perceived of Ease to Attention Towards Use(β=0.69 p <0.05). While the research model explained 75% of the total variance in Behavioral Intention. This suggests that the three sets of exogenous latent variables have collectively explained 80.6% of the variance in Behavioral Intention. This study wraps up various potential concerns and importance for policymakers. Implementers within an organization should assess user opinions towards the proposed modifications to shape the development of the policies. By knowing the acceptance indicators of education policy, even if there are challenges such as health, politics, and natural disasters, stakeholders can focus on indicators involved in adopting policies and preventing uncertainty in implementing educational policies.Ministry of Higher Education (MoHE) of Malaysia FRGS/1/2022/SSI07/UUM/02/1

Teaching for the transition: The Canadian PGY-1 neurosurgery \u27rookie camp\u27

Background: Transitioning from medical school to residency is difficult and stressful, necessitating innovation in easing this transition. In response, a Canadian neurosurgical Rookie Camp was designed and implemented to foster acquisition of technical, cognitive and behavioral skills among incoming Canadian post graduate year one (PGY-1) neurosurgery residents. Methods: The inaugural Rookie Camp was held in July 2012 in Halifax. The curriculum was developed based on a national needs-assessment and consisted of a pre-course manual, 7 case-based stations, 4 procedural skills stations and 2 group discussions. The content was clinically focused, used a variety of teaching methods, and addressed multiple CanMEDS competencies. Evaluation included participant and faculty surveys and a pre-course, post-course, and 3-month retention knowledge test. Results: 17 of 23 PGY-1 Canadian neurosurgical residents participated in the Camp. All agreed the course content was relevant for PGY-1 training and the experience prepared them for residency. All participants would recommend the course to future neurosurgical residents. A statistically significant improvement was observed in knowledge related to course content (F(2,32) = 7.572, p\u3c0.002). There were no significant differences between post-test and retention-test scores at three months. Conclusion: The inaugural Canadian Neurosurgery Rookie Camp for PGY-1 residents was successfully delivered, with engagement from participants, training programs, the Canadian Neurosurgical Society, and the Royal College. In addition to providing fundamental knowledge, which was shown to be retained, the course eased junior residents\u27 transition to residency by fostering camaraderie and socialization within the specialty

Advancing Theory in Healthcare Simulation Instructional Design: The Effect of Task Complexity on Novice Learning and Cognitive Load

Dramatic changes to healthcare systems globally have led to increased use of simulation as a pedagogical tool in health professions education. An impressive evidence base has accrued in support of simulation-based education and training, leaving little doubt that ‘it works’. As a result, scholarship in the field is shifting toward clarifying the features of simulation instructional design that optimize learning outcomes. Many scholars advocate for the use of established instructional frameworks to advance this agenda. In this dissertation, the author employed Cognitive Load Theory (CLT) and related instructional frameworks to investigate the relationship between task complexity, cognitive load (CL), and learning among novices engaged in simulation-based procedural skills training. Phase one of this research program established the sensitivity of two CL measures (subjective ratings of mental effort and secondary task performance) to predicted differences in load related to learners’ proficiency with a procedural skill and simulation training task complexity. As a result, these measures may be used to track changes in CL during simulation training and distinguish between the CL imposed by different instructional designs. Phase two operationalized Elaboration Theory (ET) to identify the task-conditions that impact training complexity of a prototypical procedural skill (lumbar puncture). The results of this phase demonstrate the methodological and theoretical advantages of combining a structured instructional design framework with expert consensus (via the Delphi technique) when developing healthcare simulation curricula. The final phase examined the competing effects of task complexity and context similarity on novices’ skills transfer. The results demonstrate that higher task complexity increases load during training, which may impede initial learning and subsequent transfer of skills ‘peripheral’ to the task (e.g. sterility). However, the findings also suggest that other variables (i.e. context or information processing specificity and learners strategies to manage load) may have important effects on these learning outcomes. At a broader level, the systematic, multi-phased approach employed in this dissertation provides a framework to guide future research in simulation instructional design. Furthermore, the application of CLT in this work exposes strengths and shortcomings in the theory that educators and researchers should be aware of, and highlights avenues for future inquiry.Ph.D

Development and content validation of performance assessments for endoscopic third ventriculostomy

This study aims to develop and establish the content validity of multiple expert rating instruments to assess performance in endoscopic third ventriculostomy (ETV), collectively called the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT). The important aspects of ETV were identified through a review of current literature, ETV videos, and discussion with neurosurgeons, fellows, and residents. Three assessment measures were subsequently developed: a procedure-specific checklist (CL), a CL of surgical errors, and a global rating scale (GRS). Neurosurgeons from various countries, all identified as experts in ETV, were then invited to participate in a modified Delphi survey to establish the content validity of these instruments. In each Delphi round, experts rated their agreement including each procedural step, error, and GRS item in the respective instruments on a 5-point Likert scale. Seventeen experts agreed to participate in the study and completed all Delphi rounds. After item generation, a total of 27 procedural CL items, 26 error CL items, and 9 GRS items were posed to Delphi panelists for rating. An additional 17 procedural CL items, 12 error CL items, and 1 GRS item were added by panelists. After three rounds, strong consensus (> 80 % agreement) was achieved on 35 procedural CL items, 29 error CL items, and 10 GRS items. Moderate consensus (50-80 % agreement) was achieved on an additional 7 procedural CL items and 1 error CL item. The final procedural and error checklist contained 42 and 30 items, respectively (divided into setup, exposure, navigation, ventriculostomy, and closure). The final GRS contained 10 items. We have established the content validity of three ETV assessment measures by iterative consensus of an international expert panel. Each measure provides unique assessment information and thus can be used individually or in combination, depending on the characteristics of the learner and the purpose of the assessment. These instruments must now be evaluated in both the simulated and operative settings, to determine their construct validity and reliability. Ultimately, the measures contained in the NEVAT may prove suitable for formative assessment during ETV training and potentially as summative assessment measures during certification

Validity Evidence for the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT)

BACKGROUND: Growing demand for transparent and standardized methods for evaluating surgical competence prompted the construction of the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT). OBJECTIVE: To provide validity evidence of the NEVAT by reporting on the tool's internal structure and its relationship with surgical expertise during simulation-based training. METHODS: The NEVAT was used to assess performance of trainees and faculty at an international neuroendoscopy workshop. All participants performed an endoscopic third ventriculostomy (ETV) on a synthetic simulator. Participants were simultaneously scored by 2 raters using the NEVAT procedural checklist and global rating scale (GRS). Evidence of internal structure was collected by calculating interrater reliability and internal consistency of raters' scores. Evidence of relationships with other variables was collected by comparing the ETV performance of experts, experienced trainees, and novices using Jonckheere's test (evidence of construct validity). RESULTS: Thirteen experts, 11 experienced trainees, and 10 novices participated. The interrater reliability by the intraclass correlation coefficient for the checklist and GRS was 0.82 and 0.94, respectively. Internal consistency (Cronbach's alpha) for the checklist and the GRS was 0.74 and 0.97, respectively. Median scores with interquartile range on the checklist and GRS for novices, experienced trainees, and experts were 0.69 (0.58-0.86), 0.85 (0.63-0.89), and 0.85 (0.81-0.91) and 3.1 (2.5-3.8), 3.7 (2.2-4.3) and 4.6 (4.4-4.9), respectively. Jonckheere's test showed that the median checklist and GRS score increased with performer expertise (P=.04 and.002, respectively). CONCLUSION: This study provides validity evidence for the NEVAT to support its use as a standardized method of evaluating neuroendoscopic competence during simulation-based training

Simulation-based Education for Endoscopic Third Ventriculostomy:A Comparison Between Virtual and Physical Training Models

BACKGROUND: The relative educational benefits of virtual reality (VR) and physical simulation models for endoscopic third ventriculostomy (ETV) have not been evaluated "head to head." OBJECTIVE: To compare and identify the relative utility of a physical and VR ETV simulation model for use in neurosurgical training. METHODS: Twenty-three neurosurgical residents and 3 fellows performed an ETV on both a physical and VR simulation model. Trainees rated the models using 5-point Likert scales evaluating the domains of anatomy, instrument handling, procedural content, and the overall fidelity of the simulation. Paired t tests were performed for each domain's mean overall score and individual items. RESULTS: The VR model has relative benefits compared with the physical model with respect to realistic representation of intraventricular anatomy at the foramen of Monro (4.5, standard deviation [SD] = 0.7 vs 4.1, SD = 0.6; P = .04) and the third ventricle floor (4.4, SD = 0.6 vs 4.0, SD = 0.9; P = .03), although the overall anatomy score was similar (4.2, SD = 0.6 vs 4.0, SD = 0.6; P = .11). For overall instrument handling and procedural content, the physical simulator outperformed the VR model (3.7, SD = 0.8 vs 4.5; SD = 0.5, P <.001 and 3.9; SD = 0.8 vs 4.2, SD = 0.6; P = .02, respectively). Overall task fidelity across the 2 simulators was not perceived as significantly different. CONCLUSION: Simulation model selection should be based on educational objectives. Training focused on learning anatomy or decision-making for anatomic cues may be aided with the VR simulation model. A focus on developing manual dexterity and technical skills using endoscopic equipment in the operating room may be better learned on the physical simulation model