Automotive Electronics: Learning Through Real-World Problem-Based Case Studies

2014 ◽  
pp. 437-449
Author(s):  
P. C. Nissimagoudar ◽  
Nalini C. Iyer ◽  
B. L. Desai ◽  
M. Uma ◽  
C. D. Kerure ◽  
...  
Keyword(s):  
Case Studies ◽  
Real World ◽  
Automotive Electronics ◽  
Real World Problem

Five Case Studies on Tackling Real-World Problems as a Means to Increase Student Engagement

2021 ◽  
pp. 142-158
Author(s):  
Mark Patrick Ryan
Keyword(s):  
Case Studies ◽  
Real World ◽  
Content Standards ◽  
Learning Needs ◽  
Leadership Roles ◽  
Student Survey ◽  
Teacher Interviews ◽  
Achievement Data ◽  
Real World Problem ◽  
Authentic Learning Experiences

Five case studies detail teachers and professors who use a real-world problem as the basis for planning and implementing a comprehensive unit of authentic learning experiences aligned with academic content standards, instructed with high levels of rigor, and assessed authentically to determine the extent to which students mastered the standards. The text details how the instructor works with students to identify a meaningful problem, aligns appropriate work products to standards and instructional activities, and adapts the plan to address varying student learning needs. A mixed methods approach used student achievement data, student and teacher interviews, and a student survey. Increases were seen in students' self-efficacy, as well as their abilities to collaborate, communicate both verbally and in writing, engage in higher order thinking, conduct research, apply knowledge to novel circumstances, justify opinions, and assume leadership roles.

The Case Study

2017 ◽  
pp. 1-14
Author(s):  
Joseph Brady
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Case Studies ◽  
Real World ◽  
Business Students ◽  
Traditional Lecture ◽  
Active Teaching ◽  
Simulated Environment ◽  
Real World Problem

Today's complex and global corporate environment requires business students to enter the workplace with more diverse skills and the ability to make useful decisions in their careers. The old adage of speaking “to” students in a classroom through straight lecturing is becoming less relevant in today's dynamic world. Rather, students must be engaged in the classroom and educators should provide the opportunity to enhance their decision making skills through real world problem solving. One way to do this is through the methods of active teaching and the utilization of case studies. Case studies are a story, or a narrative, that can induce higher critical thinking and engagement in the classroom and can prepare students for their careers by helping them make real world decisions in a simulated environment. This chapter focuses on the fundamental differences between traditional, lecture-based teaching and the importance of active learning in higher education.

The Case Study

2018 ◽  
pp. 329-342
Author(s):  
Joseph Brady
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Case Studies ◽  
Real World ◽  
Business Students ◽  
Traditional Lecture ◽  
Active Teaching ◽  
Simulated Environment ◽  
Real World Problem

Today's complex and global corporate environment requires business students to enter the workplace with more diverse skills and the ability to make useful decisions in their careers. The old adage of speaking “to” students in a classroom through straight lecturing is becoming less relevant in today's dynamic world. Rather, students must be engaged in the classroom and educators should provide the opportunity to enhance their decision making skills through real world problem solving. One way to do this is through the methods of active teaching and the utilization of case studies. Case studies are a story, or a narrative, that can induce higher critical thinking and engagement in the classroom and can prepare students for their careers by helping them make real world decisions in a simulated environment. This chapter focuses on the fundamental differences between traditional, lecture-based teaching and the importance of active learning in higher education.

Systems theories

2018 ◽  
Author(s):  
Marc J. Stern
Keyword(s):  
Social Networks ◽  
Problem Solving ◽  
Natural Resources ◽  
Real World ◽  
Common Pool Resources ◽  
Ecological Systems ◽  
Effective Governance ◽  
Social Ecological Systems ◽  
Social Ecological ◽  
Real World Problem

This chapter covers systems theories relevant to understanding and working to enhance the resilience of social-ecological systems. Social-ecological systems contain natural resources, users of those resources, and the interactions between each. The theories in the chapter share lessons about how to build effective governance structures for common pool resources, how to facilitate the spread of worthwhile ideas across social networks, and how to promote collaboration for greater collective impacts than any one organization alone could achieve. Each theory is summarized succinctly and followed by guidance on how to apply it to real world problem solving.

scholarly journals Handrails through the Swamp? A Pilot to Test the Integration and Implementation Science Framework in Complex Real-World Research

2021 ◽  
Vol 13 (10) ◽  
pp. 5491
Author(s):  
Melissa Robson-Williams ◽  
Bruce Small ◽  
Roger Robson-Williams ◽  
Nick Kirk
Keyword(s):  
Pilot Study ◽  
Case Studies ◽  
Implementation Science ◽  
Real World ◽  
Environmental Problems ◽  
Environmental Research ◽  
Integrative Framework ◽  
The World ◽  
Science Framework ◽  
Real World Problems

The socio-environmental challenges the world faces are ‘swamps’: situations that are messy, complex, and uncertain. The aim of this paper is to help disciplinary scientists navigate these swamps. To achieve this, the paper evaluates an integrative framework designed for researching complex real-world problems, the Integration and Implementation Science (i2S) framework. As a pilot study, we examine seven inter and transdisciplinary agri-environmental case studies against the concepts presented in the i2S framework, and we hypothesise that considering concepts in the i2S framework during the planning and delivery of agri-environmental research will increase the usefulness of the research for next users. We found that for the types of complex, real-world research done in the case studies, increasing attention to the i2S dimensions correlated with increased usefulness for the end users. We conclude that using the i2S framework could provide handrails for researchers, to help them navigate the swamps when engaging with the complexity of socio-environmental problems.

Applying the Systems Evaluation Protocol in the real world: Six case studies

2021 ◽  
Vol 2021 (169) ◽  
pp. 65-77
Author(s):  
Jennifer Brown Urban ◽  
Miriam R. Linver ◽  
Lisa M. Chauveron ◽  
Thomas Archibald ◽  
Monica Hargraves ◽  
...  
Keyword(s):  
Case Studies ◽  
Real World ◽  
The Real ◽  
Evaluation Protocol

scholarly journals How to train your robot with deep reinforcement learning: lessons we have learned

2021 ◽  
pp. 027836492098785
Author(s):  
Julian Ibarz ◽  
Jie Tan ◽  
Chelsea Finn ◽  
Mrinal Kalakrishnan ◽  
Peter Pastor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Case Studies ◽  
Real World ◽  
Review Article ◽  
The Real ◽  
Complex Skills ◽  
Real World Learning ◽  
Level Sensor ◽  
Embodied Agent

Deep reinforcement learning (RL) has emerged as a promising approach for autonomously acquiring complex behaviors from low-level sensor observations. Although a large portion of deep RL research has focused on applications in video games and simulated control, which does not connect with the constraints of learning in real environments, deep RL has also demonstrated promise in enabling physical robots to learn complex skills in the real world. At the same time, real-world robotics provides an appealing domain for evaluating such algorithms, as it connects directly to how humans learn: as an embodied agent in the real world. Learning to perceive and move in the real world presents numerous challenges, some of which are easier to address than others, and some of which are often not considered in RL research that focuses only on simulated domains. In this review article, we present a number of case studies involving robotic deep RL. Building off of these case studies, we discuss commonly perceived challenges in deep RL and how they have been addressed in these works. We also provide an overview of other outstanding challenges, many of which are unique to the real-world robotics setting and are not often the focus of mainstream RL research. Our goal is to provide a resource both for roboticists and machine learning researchers who are interested in furthering the progress of deep RL in the real world.

scholarly journals Exploiting Proximity-Based Mobile Apps for Large-Scale Location Privacy Probing

2018 ◽  
Vol 2018 ◽  
pp. 1-22 ◽  
Author(s):  
Shuang Zhao ◽  
Xiapu Luo ◽  
Xiaobo Ma ◽  
Bo Bai ◽  
Yankang Zhao ◽  
...  
Keyword(s):  
Social Networks ◽  
Case Studies ◽  
Real World ◽  
Emission Reduction ◽  
Large Scale ◽  
Location Privacy ◽  
Mobile Apps ◽  
Physical World ◽  
Typical Type ◽  
Location Spoofing

Proximity-based apps have been changing the way people interact with each other in the physical world. To help people extend their social networks, proximity-based nearby-stranger (NS) apps that encourage people to make friends with nearby strangers have gained popularity recently. As another typical type of proximity-based apps, some ridesharing (RS) apps allowing drivers to search nearby passengers and get their ridesharing requests also become popular due to their contribution to economy and emission reduction. In this paper, we concentrate on the location privacy of proximity-based mobile apps. By analyzing the communication mechanism, we find that many apps of this type are vulnerable to large-scale location spoofing attack (LLSA). We accordingly propose three approaches to performing LLSA. To evaluate the threat of LLSA posed to proximity-based mobile apps, we perform real-world case studies against an NS app named Weibo and an RS app called Didi. The results show that our approaches can effectively and automatically collect a huge volume of users’ locations or travel records, thereby demonstrating the severity of LLSA. We apply the LLSA approaches against nine popular proximity-based apps with millions of installations to evaluate the defense strength. We finally suggest possible countermeasures for the proposed attacks.

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