Simulation via Instant Messaging - Birmingham Advance (SIMBA): First steps towards standardising online simulation-based learning in clinical endocrinology

2021 ◽  
Author(s):  
Meri Davitadze ◽  
Emma Ooi ◽  
Dengyi Zhou ◽  
Thia Hanania ◽  
Emily Warmington ◽  
...  
Keyword(s):  
Instant Messaging ◽  
Clinical Endocrinology ◽  
Online Simulation ◽  
Simulation Based

scholarly journals Analisis kemampuan argumentasi ilmiah siswa pada materi optik: Problem-based learning berbantuan edu-media simulation

2019 ◽  
Vol 5 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Riwayani Riwayani ◽  
Riki Perdana ◽  
Ratna Sari ◽  
Jumadi Jumadi ◽  
Heru Kuswanto
Keyword(s):  
Problem Based Learning ◽  
T Test ◽  
Scientific Argumentation ◽  
Learning Models ◽  
Paired Sample ◽  
Average Value ◽  
Online Simulation ◽  
Simulation Based ◽  
Post Test ◽  
Quasi Experimental

Terdapat banyak model pembelajaran yang diterapkan untuk menganalisis kemampuan argumentasi ilmiah siswa. Namun, belum banyak model yang diintegrasikan dengan pembelajaran berbasis simulasi online untuk meningkatkan kemampuan argumentasi ilmiah siswa. Padahal, saat ini ada banyak website simulasi online yang diterbitkan oleh lembaga pendidikan atau universitas di tingkat internasional dan jarang digunakan dalam penelitian. Penelitian ini mengintegrasikan model pembelajaran inovatif dengan pembelajaran berbasis online simulation untuk meningkatkan kemampuan argumentasi ilmiah siswa. Website simulasi yang digunakan adalah Edu-media simulation. Dalam website ini ada banyak simulasi fisika yang disediakan, tetapi belum banyak penelitian yang menerapkan simulasi ini. Penelitian ini dilakukan dengan kuasi eksperimen yang terdiri dari satu kelas eksperimen dengan sampel 25 siswa kelas XI MIA 3 di SMA N 1 Prambanan Yogyakarta. Argumentasi ilmiah siswa diukur melalui instrumen tes uraian. Data argumentasi ilmiah siswa dianalisis menggunakan paired sample t-test  dan pola argumentasi Toulmin (TAP). Hasil penelitian menunjukkan bahwa PBL berbantuan edu-media simulation dapat meningkatkan kemampuan argumentasi ilmiah siswa baik secara kuantitatif maupun kualitatif. Ini ditunjukkan dengan nilai t value -11.051 < -1.711 bahwa terdapat perbedaan nilai rata-rata argumentasi pada pre-test (17) dan post-test (47). Dalam hal ini, siswa sudah mampu membuat klaim yang tegas dengan menyajikan bukti dan alasan yang mendukung klaim. Analyzing students’ scientific argumentation skill in optic: Problem-based learning assisted edu-media simulation AbstractThere are many learning models applied to analyze the ability of students' scientific argumentation. However, not many models have been integrated with online simulation-based learning to improve students' scientific argumentation skills. In fact, there are currently many online simulation websites published by educational institutions or international universities and rarely used in research. This research integrates innovative learning models with online simulation-based learning to improve students' scientific argumentation skills. The simulation website used is Edu-media simulation. In this website there are many physics simulations provided, but not many studies have applied this simulation. This research was conducted with a quasi-experimental consisting of one experimental class with a sample of 25 XI MIA 3 graders in Prambanan High School 1 Yogyakarta. Students' scientific arguments are measured through a description test instrument. Students' scientific argumentation data were analyzed using paired sample t-test and Toulmin argumentation patterns (TAP). The results showed that PBL assisted by edu-media simulation can improve students' scientific argumentation ability both quantitatively and qualitatively. This is indicated by the value of t value -11.051 <-1.711 that there are differences in the average value of argumentation in the pre-test (17) and post-test (47). In this case, students have been able to make assertive claims by presenting evidence and reasons that support the claim.

Online simulation-based process control for injection molding

2009 ◽  
Vol 49 (12) ◽  
pp. 2482-2491 ◽  
Author(s):  
Stephen P. Johnston ◽  
David O. Kazmer ◽  
Robert X. Gao
Keyword(s):  
Process Control ◽  
Injection Molding ◽  
Online Simulation ◽  
Simulation Based

scholarly journals Virtual Algorithm Simulation (VAS) Based on Problem: Learning Media in Medical Surgical Nursing

2020 ◽  
Vol 4 (2) ◽  
pp. 161
Author(s):  
Nurul Hikmatul Qowi ◽  
Trijati Puspita Lestari ◽  
Siti Sholikhah
Keyword(s):  
Nursing Students ◽  
Descriptive Analysis ◽  
Group Discussion ◽  
Computer Assisted ◽  
Second Phase ◽  
Learning Material ◽  
Online Simulation ◽  
Simulation Based ◽  
Feasibility Test ◽  
Medical Surgical Nursing

Introduction: Innovative learning media for online simulation-based nursing students is still not optimal. The study aimed to develop online simulation video-based learning media, namely virtual algorithm simulation (VAS) based on problems in medical-surgical nursing (MSN). Methods: A research development or Research and Development (R&D) which consists of two stages. The first phase of the study was conducted focus group discussion (FGD) with eight medical surgical nursing lecturers and expert discussion with 50 students, three of IT experts, and two MSN experts. The second phase of the research was conducted FGD with five participants, and socialization of instructional media to six lecturers and 54 students. The feasibility test instrument uses learning media assessment instruments consisting of subcategories of learning media rules, Computer Assisted Interaction (CAI), management, and the relevance of the material and syllabus. Data were analyzed using descriptive analysis. Results: The assessment of media experts showed the highest mean in the VAS management subcategory of 3.53. Evaluation of nursing experts and students with the highest mean in the subcategory of material relevance and syllabus, namely 3.9 and 3.57. The results of discussions with experts stated that 100% of the learning media Virtual Algorithm Simulation (VAS) is suitable for use as a medium for learning medical surgical nursing. Conclusions: VAS can be used as a learning media for medical surgical nursing. Online simulation-based learning media can facilitate the accessibility of learning material, increase knowledge and skills of nursing students.

scholarly journals SIMBA: Using Kolb’s Learning Theory in Simulation-Based Learning to Improve Participants' Confidence

2021 ◽  
Author(s):  
Meri Davitadze ◽  
Emma Ooi ◽  
Cai Ying Ng ◽  
Dengyi Zhou ◽  
Lucretia Thomas ◽  
...  
Keyword(s):  
Learning Style ◽  
Learning Theory ◽  
Instant Messaging ◽  
Low Cost ◽  
Rank Test ◽  
Personal Learning ◽  
Concrete Experience ◽  
Simulation Based ◽  
Signed Rank Test ◽  
Social Media Platforms

Abstract BackgroundSimulation via Instant Messaging- Birmingham Advance (SIMBA) delivers simulation-based learning (SBL) through WhatsApp and Zoom based on Kolb’s experiential learning theory. This study aimed to implement Kolb’s theory in practice during SIMBA adrenal session. MethodsKolb’s 4-stage cycle: concrete experience—simulation, reflective observation—discussion following simulation, abstract conceptualisation and assimilation of new information—Q&A and MCQs, and active experimentation—reflect on the acquired knowledge. Participants’ self-reported confidence levels pre- and post-SIMBA were analysed using Wilcoxon Signed Rank test. Key takeaway and feedback were assessed quantitatively and qualitatively in a thematic analysis. ResultsParticipants’ self-reported confidence improved significantly post-SIMBA in their approach to Cushing’s syndrome (p<0.0001) and adrenocortical carcinoma (p<0.0001). 93.9% (n=31/33) and 84.8% (n=28/33) strongly agreed/agreed the topics were applicable to their clinical practice and accommodated their personal learning style, respectively. 81.8% (n=27/33) reported increase in knowledge on patient management, and 75.8% (n=25/33) anticipated implementing learning points in their practice. ConclusionsSIMBA effectively adopts Kolb’s theory to provide best possible experience to learners, highlighting the advantages of utilising social media platforms for SBL in medical education. The ability to conduct SIMBA sessions at a low cost with high fidelity internationally paves way to engage more healthcare professionals worldwide.

Simulation in oncologic care: Advancing evidence-based decisions in the management of metastatic castration resistant prostate cancer.

2016 ◽  
Vol 34 (2_suppl) ◽  
pp. 322-322 ◽  
Author(s):  
Tara Herrmann ◽  
Martin Warters ◽  
Douglas Blevins
Keyword(s):  
Prostate Cancer ◽  
Patient Outcomes ◽  
Current Evidence ◽  
Considerable Proportion ◽  
Evidence Based ◽  
Clinical Decisions ◽  
Clinical Guidance ◽  
Online Simulation ◽  
Simulation Based ◽  
The Impact

322 Background: A considerable proportion of prostate cancer cases among men progress to mCRPC. As a result, appropriate treatment selection and sequencing is crucial to maximizing patient outcomes. A study was conducted to determine if simulation-based educational interventions to address underlying clinical practice gaps could improve clinical decisions of oncologists in the management of mCRPC. Methods: A cohort of US-practicing oncologists who participated in online simulation-based education was evaluated. The intervention consisted of two cases presented in a platform that allowed learners to assess the patient and choose from an extensive database of diagnostic and treatment possibilities matching the scope and depth of actual practice. Clinical decisions made by participants were analyzed using a decision engine, and instantaneous clinical guidance employing current evidence-based and expert faculty recommendations was provided at each decision point. Participant decisions before and after clinical guidance were compared using a 2-tailed paired T-test to provide p-values for assessing the impact of simulation-based education on the clinical decisions made by participants between 2/25/2014 and 9/12/2014. Results: The assessment sample consisted of 107 oncologists who made clinical decisions within the simulation. As a result of clinical guidance, significant improvements were observed in: a) Selection of an evidence-based regimen that included mCRPC targeted therapy (17%, p = 0.027) and treatment for bone metastases (26%, p < 0.0001), in an individual with a 6-year history of prostate cancer whose disease presented with bone metastasis; and b) Starting a bone resorption inhibitor (25%, p < 0.001) and switching mCRPC therapies (28%, p < 0.001) in a patient whose PSA levels were rising despite treatment. Conclusions: This study showed improvements in clinical decisions of oncologists in selecting evidence-based therapeutic regimens for patients with mCRPC. This study demonstrates that online, simulation-based instruction can result in an increase in appropriate clinical decisions, and may play a role in improving the quality of care and patient outcomes.

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