Addressing Misconceptions about Birth Control: Case Studies Immersing Students in the Facts & Real-Life Decisions

2011 ◽  
Vol 73 (6) ◽  
pp. 353-356 ◽  
Author(s):  
Stephanie Zojonc ◽  
Bethann Lavoie
Keyword(s):  
High School ◽  
Decision Making ◽  
Case Studies ◽  
Undergraduate Students ◽  
Birth Control ◽  
Real Life ◽  
Control Methods ◽  
Control Case ◽  
Study Lesson

Case studies generate active discussion and decision-making skills. This 50-minute case-study lesson teaches high school and undergraduate students about a fundamental and private aspect of their lives, birth control methods. Students direct their own learning by researching, teaching one another about, and making recommendations about the methods. Students are more likely to apply what they have learned to their own lives after being involved in and practicing decision-making skills during the cases. Because students openly discuss their ideas in relation to the cases, instructors can correct misconceptions about birth control without embarrassing students.

Examining the mediating role of learning engagement, learning process and learning experience on the learning outcomes through localized real case studies

2014 ◽  
Vol 56 (4) ◽  
pp. 287-302 ◽  
Author(s):  
Mathews Nkhoma ◽  
Narumon Sriratanaviriyakul ◽  
Hiep Pham Cong ◽  
Tri Khai Lam
Keyword(s):  
Learning Outcomes ◽  
Case Studies ◽  
Undergraduate Students ◽  
Learning Process ◽  
Learning Experience ◽  
Learning Engagement ◽  
Content Type ◽  
Mediating Role

Purpose – The purpose of this paper is to understand the impact of real, localized case studies on students’ learning engagement, the learning process and learning experience and the role of such case studies in influencing students’ learning outcomes. Design/methodology/approach – Data were collected from 400 undergraduate students through an online questionnaire immediately after discussion of the case in Business Information Systems classes. Student learning from the case study was measured by two components consisting of case knowledge and case perceptions. The student course engagement questionnaire was used to examine engagement in skills, emotions, participation and performance while the study process questionnaire was administered to assess students’ learning approaches. Additionally, the seven predominant roles of the feedback were used to analyse students’ learning experience. Finally, students’ learning outcomes were assessed both in group performance and individual performance. Structure equation modelling was applied to test the causal model. Findings – The results revealed that the case study had a positive influence on students’ engagement in skills and emotions. Moreover, case perceptions led students to surface approach in their learning. Furthermore, case knowledge had a positive impact on the learning experience. Research limitations/implications – The study suggests that localized case studies should be designed cautiously. Furthermore the method of instruction regarding the method must be clearly explained for undergraduate students. Future research should consider a way of evaluating academic achievement as a result of using localized cases. Originality/value – The findings reported in the paper contributed to an area of educational research by emphasizing on the mediating role of learning engagement, the learning process and the learning experience.

scholarly journals Researching the delivery of health and nutrition interventions for women and children in the context of armed conflict: lessons on research challenges and strategies from BRANCH Consortium case studies of Somalia, Mali, Pakistan and Afghanistan

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Michelle F. Gaffey ◽  
Anushka Ataullahjan ◽  
Jai K. Das ◽  
Shafiq Mirzazada ◽  
Moctar Tounkara ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Case Studies ◽  
Nutrition Interventions ◽  
Health And Nutrition ◽  
Research Challenges ◽  
Conflict Settings ◽  
Wide Range ◽  
Women And Children

Abstract Background The BRANCH Consortium recently conducted 10 mixed-methods case studies to investigate the provision of health and nutrition interventions for women and children in conflict-affected countries, aiming to better understand the dominant influences on humanitarian health actors’ programmatic decision-making and how such actors surmount intervention delivery barriers. In this paper, the research challenges encountered and the mitigating strategies employed by the case study investigators in four of the BRANCH case study contexts are discussed: Somalia, Mali, Pakistan and Afghanistan. Discussion Many of the encountered research challenges were anticipated, with investigators adopting mitigation strategies in advance or early on, but others were unexpected, with implications for how studies were ultimately conducted and how well the original study aims were met. Insecurity was a fundamental challenge in all study contexts, with restricted geographical access and concerns for personal safety affecting sampling and data collection plans, and requiring reliance on digital communications, remote study management, and off-site team meetings wherever possible. The need to navigate complex local sociopolitical contexts required maximum reliance on local partners’ knowledge, expertise and networks, and this was facilitated by early engagement with a wide range of local study stakeholders. Severe lack of reliable quantitative data on intervention coverage affected the extent to which information from different sources could be triangulated or integrated to inform an understanding of the influences on humanitarian actors’ decision-making. Conclusion Strong local partners are essential to the success of any project, contributing not only technical and methodological capacity but also the insight needed to truly understand and interpret local dynamics for the wider study team and to navigate those dynamics to ensure study rigour and relevance. Maintaining realistic expectations of data that are typically available in conflict settings is also essential, while pushing for more resources and further methodological innovation to improve data collection in such settings. Finally, successful health research in the complex, dynamic and unpredictable contexts of conflict settings requires flexibility and adaptability of researchers, as well as sponsors and donors.

Prioritizing Local Sport Activities: Determining Organizational Commitment to an Innovative Swimming Program

2016 ◽  
Vol 5 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Brennan K. Berg ◽  
Michael Hutchinson ◽  
Carol C. Irwin
Keyword(s):  
Decision Making ◽  
Organizational Behavior ◽  
Sport Management ◽  
Real Life ◽  
The United States ◽  
Health Concern ◽  
Public And Private ◽  
Parks And Recreation ◽  
Sport Activities

This case study illustrates the complexity of decision making in public organizations, specifically highlighting the public health concern of drowning disparities in the United States. Using escalation of commitment theory, students must consider various factors in evaluating the overextended commitments of a local government in a complicated sociopolitical environment and with vital public needs that must be addressed through a local parks and recreation department. Facing a reduction in allocated resources, the department director, Claire Meeks, is tasked with determining which programs will receive higher priority despite the varied feedback from the management staff. To ensure students are provided a realistic scenario, this case offers a combination of fictional and real-life events from Splash Mid-South, an innovative swimming program in Memphis, Tennessee. Students must critically evaluate not only the merits of the swimming program, but the other sport, recreation, and parks programs that also merit an equitable share of the limited resources. Therefore, students are placed in a decision-making role that is common to managers of both public and private organizations. This case study is appropriate for both undergraduate and graduate sport management courses, with specific application to strategic management, organizational behavior, and recreation or leisure topics.

scholarly journals Significance of multi-objective optimization in logistics problem for multi-product supply chain network under the intuitionistic fuzzy environment

2021 ◽  
Author(s):  
Srikant Gupta ◽  
Ahteshamul Haq ◽  
Irfan Ali ◽  
Biswajit Sarkar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Real Life ◽  
Decision Makers ◽  
Supply Chain Network ◽  
Multi Objective ◽  
Intuitionistic Fuzzy ◽  
Fuzzy Environment ◽  
Hierarchical Decision

AbstractDetermining the methods for fulfilling the continuously increasing customer expectations and maintaining competitiveness in the market while limiting controllable expenses is challenging. Our study thus identifies inefficiencies in the supply chain network (SCN). The initial goal is to obtain the best allocation order for products from various sources with different destinations in an optimal manner. This study considers two types of decision-makers (DMs) operating at two separate groups of SCN, that is, a bi-level decision-making process. The first-level DM moves first and determines the amounts of the quantity transported to distributors, and the second-level DM then rationally chooses their amounts. First-level decision-makers (FLDMs) aimed at minimizing the total costs of transportation, while second-level decision-makers (SLDM) attempt to simultaneously minimize the total delivery time of the SCN and balance the allocation order between various sources and destinations. This investigation implements fuzzy goal programming (FGP) to solve the multi-objective of SCN in an intuitionistic fuzzy environment. The FGP concept was used to define the fuzzy goals, build linear and nonlinear membership functions, and achieve the compromise solution. A real-life case study was used to illustrate the proposed work. The obtained result shows the optimal quantities transported from the various sources to the various destinations that could enable managers to detect the optimum quantity of the product when hierarchical decision-making involving two levels. A case study then illustrates the application of the proposed work.

Learning quantum chemistry via a visual-conceptual approach: students' bidirectional textual and visual understanding

2014 ◽  
Vol 15 (3) ◽  
pp. 297-310 ◽  
Author(s):  
Vered Dangur ◽  
Shirly Avargil ◽  
Uri Peskin ◽  
Yehudit Judy Dori
Keyword(s):  
Physical Chemistry ◽  
High School ◽  
High School Students ◽  
Quantum Chemistry ◽  
Undergraduate Students ◽  
Real Life ◽  
Quantum Mechanical ◽  
Chemistry Students ◽  
Undergraduate Chemistry ◽  
Visual Understanding

Most undergraduate chemistry courses and a few high school honors courses, which focus on physical chemistry and quantum mechanics, are highly mathematically-oriented. At the Technion, Israel Institute of Technology, we developed a new module for high school students, titledChemistry – From “the Hole” to “the Whole”: From the Nanoscale to Microelectronics. The module is based on a qualitative approach to teaching quantum chemistry, emphasizing interdisciplinary real-life applications and integration of visualization. While aimed at honors high school chemistry students, the module was also partially implemented and assessed in an undergraduate chemistry course. The research objective was to investigate the effect of the module on the visual and textual understanding of quantum mechanical concepts among 122 honors and 65 volunteer undergraduate chemistry students. The research tools included students' pre- and post-questionnaires. High school honors and undergraduate students, who were exposed to the module, significantly improved their textual and visual understanding of quantum mechanical concepts and their ability to move across illustrations and explanations. Honors and undergraduate students minimized the gap that had existed between them in terms of integrating micro and quantum levels into their post-questionnaire answers. Our findings augment the current set of the four chemistry understanding levels – macro, micro, symbol and process – by adding the quantum mechanical level as a fifth level of chemistry understanding. The study contributes to teaching physical chemistry by providing a tool for learning, assessment, and research of chemistry understandingviaboth visual and textual modes.

scholarly journals Decision-making in paediatric palliative care interpreting

2021 ◽  
Vol 20 ◽  
Author(s):  
Melissa Contreras-Nourse
Keyword(s):  
Decision Making ◽  
Palliative Care ◽  
Single Case ◽  
Real Life ◽  
Medical Professional ◽  
Biomedical Ethics ◽  
Respect For Autonomy ◽  
Paediatric Palliative Care ◽  
Medical Interpreter

The interpreting profession has long used metaphors or rule statements to describe and teach the ways in which practitioners make decisions (Dean & Pollard, 2011, 2018). Interpreting students are also often taught that the context of an encounter will dictate their decision-making by way of statements such as “it depends”. Such pedagogical statements can make talk between a practitioner and a medical professional about the responsibilities of an interpreter during medical encounters difficult. This study is based on the work of Dean and Pollard (2011, 2018) on value-based decision-making and is guided by the four principles of biomedical ethics (respect for autonomy, non-maleficence, beneficence and justice). It has sought to provide evidence of the existence, applicability and usability of these frameworks through a single case study of a real-life appointment in which a parent of a palliative care outpatient and a medical professional communicated during a consultation, aided by a medical interpreter.

scholarly journals An extension of the codas method based on Interval Rough Numbers for multi-criteria group decision making

2021 ◽  
Vol 16 ◽  
pp. 23-43
Author(s):  
Mouna Regaieg Cherif ◽  
◽  
Hela Moalla Frikha ◽  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Decision Maker ◽  
Group Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Multiple Criteria ◽  
Linguistic Terms

This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed. Keywords: Interval Rough Numbers, group decision making, IR-CODAS method, risk assessment.

scholarly journals Homogeneous Groups of Actors in an AHP-Local Decision Making Context: A Bayesian Analysis

Mathematics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 294 ◽  
Author(s):  
Alfredo Altuzarra ◽  
Pilar Gargallo ◽  
José María Moreno-Jiménez ◽  
Manuel Salvador
Keyword(s):  
Decision Making ◽  
Geometric Mean ◽  
Real Life ◽  
Decision Makers ◽  
Local Context ◽  
Homogeneous Groups ◽  
Decision Tools ◽  
Local Decision ◽  
Local Decision Making

The two procedures traditionally followed for group decision making with the Analytical Hierarchical Process (AHP) are the Aggregation of Individual Judgments (AIJ) and the Aggregation of Individual Priorities (AIP). In both cases, the geometric mean is used to synthesise judgments and individual priorities into a collective position. Unfortunately, positional measures (means) are only representative if dispersion is reduced. It is therefore necessary to develop decision tools that allow: (i) the identification of groups of actors that present homogeneous and differentiated behaviours; and, (ii) the aggregation of the priorities of the near groups to reach collective positions with the greatest possible consensus. Following a Bayesian approach to AHP in a local context (a single criterion), this work proposes a methodology to solve these problems when the number of actors is not high. The method is based on Bayesian comparison and selection of model tools which identify the number and composition of the groups as well as their priorities. This information can be very useful to identify agreement paths among the decision makers that can culminate in a more representative decision-making process. The proposal is illustrated by a real-life case study.

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