The impact of a simulation-based learning design project on student learning

2001 ◽  
Vol 44 (4) ◽  
pp. 390-398 ◽  
Author(s):  
G.K.W.K. Chung ◽  
T.C. Harmon ◽  
E.L. Baker
Keyword(s):  
Student Learning ◽  
Learning Design ◽  
Design Project ◽  
Simulation Based ◽  
The Impact

scholarly journals The Impact of the Chukwin Mini-Unit on Students’ Understanding of Natural Selection

2017 ◽  
Vol 79 (2) ◽  
pp. 120-127
Author(s):  
Sarah Bauer
Keyword(s):  
Natural Selection ◽  
Student Learning ◽  
Junior High ◽  
Critical Element ◽  
Creative Methods ◽  
Simulation Based ◽  
Before And After ◽  
Students Attitudes ◽  
The Impact ◽  
Improve Student Learning

Natural selection is a widely misunderstood yet critical element to understanding evolution, a concept already fraught with controversy and challenges to its instruction. This necessitates creative methods to improve student learning in this area. A constructivist mini-unit incorporating simulation-based games involving a population of imaginary creatures called Chukwins was created to maximize student learning and motivation. It was tested in one elementary and three junior high classrooms in different locations. Changes in understanding were assessed before and after treatment. Surveys and interviews provided additional evidence on students’ attitudes toward the mini-unit and its impact on their learning and engagement. Students made statistically significant improvements on assessments regarding natural selection, reducing their number of misconceptions and slightly improving their ability to apply it. Retention scores indicate that the changes are long-lasting.

MODIFIKASI MODEL PEMBELAJARAN PROBLEM POSING DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

2019 ◽  
Vol 2 ◽  
Author(s):  
Lita Amalia ◽  
Alda Dwiyana Putri ◽  
Alfajri Mairizki Nurfansyah
Keyword(s):  
Student Learning ◽  
Learning Outcomes ◽  
Learning Process ◽  
Learning Strategy ◽  
Student Learning Outcomes ◽  
Learning Model ◽  
Problem Posing ◽  
Reasoning Skills ◽  
The Impact ◽  
Answering Questions

The purpose of this paper is to describe the Problem Posing learning model with Task and Forced Strategy. As for the background of this writing is because of difficulties in understanding the material and also lack of enthusiasm of students in learning the material so that the impact on student learning outcomes is still low. The low student learning outcomes are, of course, many factors, one of which is the problem of applying a learning model that is still teacher-centered, so students tend to be passive. For this reason, the teacher can use the Problem Posing learning model that is modified by the task and force strategy (Task and Forced). Problem Posing learning model is a learning model that requires students to develop their systematic reasoning skills in making questions and answering questions. While the task and force strategy (Task and Forced) is a learning strategy that has little effect on students to complete the task until it is completed and on time to avoid the punishment given by the teacher as a consequence. So that students will be motivated in listening, understanding the material delivered and doing assignments on time. By combining this model and strategy can be a solution so that the learning process becomes quality.

scholarly journals The Impact of Longer Consultation Time: A Simulation-Based Approach

2020 ◽  
Vol 11 (05) ◽  
pp. 857-864
Author(s):  
Abdulrahman M. Jabour
Keyword(s):  
Waiting Time ◽  
Quality Care ◽  
Working Hours ◽  
Discrete Events ◽  
Simulation Based ◽  
Patient Waiting Time ◽  
Free Environment ◽  
The Impact ◽  
Consultation Time ◽  
Patient Waiting

Abstract Background Maintaining a sufficient consultation length in primary health care (PHC) is a fundamental part of providing quality care that results in patient safety and satisfaction. Many facilities have limited capacity and increasing consultation time could result in a longer waiting time for patients and longer working hours for physicians. The use of simulation can be practical for quantifying the impact of workflow scenarios and guide the decision-making. Objective To examine the impact of increasing consultation time on patient waiting time and physician working hours. Methods Using discrete events simulation, we modeled the existing workflow and tested five different scenarios with a longer consultation time. In each scenario, we examined the impact of consultation time on patient waiting time, physician hours, and rate of staff utilization. Results At baseline scenarios (5-minute consultation time), the average waiting time was 9.87 minutes and gradually increased to 89.93 minutes in scenario five (10 minutes consultation time). However, the impact of increasing consultation time on patients waiting time did not impact all patients evenly where patients who arrive later tend to wait longer. Scenarios with a longer consultation time were more sensitive to the patients' order of arrival than those with a shorter consultation time. Conclusion By using simulation, we assessed the impact of increasing the consultation time in a risk-free environment. The increase in patients waiting time was somewhat gradual, and patients who arrive later in the day are more likely to wait longer than those who arrive earlier in the day. Increasing consultation time was more sensitive to the patients' order of arrival than those with a shorter consultation time.

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