Strategies for Research

Author(s):  
Steven Kim

The purpose of research is to acquire knowledge. In pure fields such as philosophy or science, the pursuit of knowledge is ideally an open-minded affair engaged in for its own sake. In other activities such as applied research or industrial development, the inquiring mind seeks out new knowledge to support specific objectives. The open-ended nature of research endeavors and their lack of obvious solutions and promising avenues usually qualify them as difficult problems. This chapter explores a number of domain-independent issues and techniques for pursuing research in various disciplines. For the sake of concreteness, much of our discussion in this chapter focuses on the academic environment of graduate research. However, most of the topics and approaches pertain as well to research in other settings, whether a government laboratory or a corporate marketing office. The newcomer to the research enterprise tends to have a simple view of what research entails. He initially believes that following a few suggestions from the advisor will lead to demonstrable results, a series of advances that can be measured by the hour or week. He has a tacit belief that progress will ensue automatically over time, much like attending a hamburger stand, raking autumn leaves, or solving homework problems. How could he believe otherwise? He has little or no prior experience with difficult problems of the magnitude that now face him. Perhaps the most important thing he will learn in the first year or so is the environment of research. Addressing difficult problems requires a new mind-set, a willingness to explore new horizons, maintain an open mind, appreciate small insights, and even enjoy the steady stream of failures as well as successes. Learning to conduct research systematically will be the most important aspect of his education in the first year. If the research effort spans a planning horizon of about two years, the indoctrination will occur in conjunction with an orientation phase during the first half-year, a period for defining the problem and gathering relevant information.

2020 ◽  
Vol 17 (3) ◽  
pp. 179-194
Author(s):  
Ingo Koeper ◽  
◽  
Joe Shapter ◽  
Vanessa North ◽  
Don Houston ◽  
...  

In science courses in general, but especially in first year chemistry classes, the amount of content that is delivered is often overwhelming and too complex for the student to easily cope with. Students not only have to gain knowledge in a variety of different field, they also have to learn new laboratory skills and analytical techniques. Additionally, there is an issue with more and more information being available to everybody through the internet, while our education often still focusses on delivering that knowledge, rather than exploring ways how students can be guided to understanding and using the knowledge provided. There have been different approaches on how to make ‘dry’ scientific concepts more interesting and how enhance student engagement, ranging from problem-based learning approaches, case studies or flipped classroom models. We have recently turned a fairly classic first year chemistry course on its head. In the new structure, students are gaining knowledge and understanding purely through the completion of a range of challenges. We have removed all lectures, tutorials and the final exam, and all interaction with the student happens in the laboratory. Throughout the semester, students attempt to complete a range of challenges, both theoretical and practical, find relevant information, propose approaches to solving the challenges, and discuss these and subsequent outcomes with academic staff. In order to analyse the design, we have conducted structured interviews with students from 2016-2018. Initial assessment of the data suggests a high level of engagement of the students, paired with a better preparation of students for their subsequent studies. Students enjoyed having the freedom to choose and design their own experiments. Additionally, students improved significantly in non-content related aspects such as timemanagement, organisation, planning and self-learning, with notable impact on their learning in higher years.


2000 ◽  
Vol 94 (5) ◽  
pp. 267-274
Author(s):  
Eugene McMahon

This article describes the Council of Schools for the Blind Learning Outcomes Project, which is developing a data collection infrastructure that will create relevant information based on current knowledge-management principles. The results of the first year of data collection are presented to illustrate the process.


2016 ◽  
Vol 4 (8(SE)) ◽  
pp. 36-39
Author(s):  
Sankar ◽  
Irin Sutha

The objective of the present paper is to examine the college student Mind-set and intentions toward entrepreneurship, Entrepreneurship is considered as engine of economic growth. That plays a great role in the economic growth and development of the country, more so in a rapidly developing country like India. Entrepreneurship development today has assumed great significance as it is a key to economic development. Entrepreneurs are the seed of industrial development and its fruits are greater employment opportunities, increase in per capita income, higher standard of living and balanced regional development. The present paper attempts to review and analyze the empirical studies undertaken to find out the entrepreneurial intention among college students and find out the factors influencing their decision to venture in entrepreneurship.


2019 ◽  
Author(s):  
Matthew Peter DeCarlo

Open educational resources (OER) and the open education movement have blossomed over the past decade, yet their demonstrated impact on social work is in its infancy. This teaching note describes the process of creating the first two open textbooks for social work education about undergraduate and graduate research methods. In the first year post-publication, the undergraduate open textbook was used by over 1,100 students across 35 campuses and accrued an estimated savings of $150,000 for students. Despite these clear benefits, the process of resource creation for faculty can be challenging, and this note offers practical guidance for faculty considering both small or large-scale open textbook projects. As universities, states, and international bodies increase funding for the creation and adoption of OER, the field of Social Work should demonstrate its commitment to equity, inclusion, and justice by leading these efforts within our classrooms, discipline, and institutions.


PRiMER ◽  
2021 ◽  
Vol 5 ◽  
Author(s):  
Molly Cohen-Osher ◽  
Theresa A. Davies ◽  
David B. Flynn ◽  
Megan E. Young ◽  
Miriam Hoffman

Introduction: In this age of rapid information expansion, medical education can no longer be taught solely by information acquisition, but rather requires information management and information mastery at both the point of learning as well as at the clinical point of care. We must teach our trainees how to ask, categorize, and answer their own questions—skills required to be a life-long learner. We developed the Finding Information Framework (FIF), a conceptual algorithm as well as web-based tool and app, to guide medical students in asking and categorizing their questions and to link them directly to the most appropriate information resource for their questions. Here we assess the functionality of the FIF following its implementation in the first-year medical school curriculum problem-based learning (PBL) course. Methods: First-year medical students (n=126) utilized the FIF in their longitudinal problem-based learning course discussion groups and completed an anonymous survey. Results: Qualitative and quantative data suggest that the FIF was easy to use (86.5%), supported the course curriculum (80%), and helped students find relevant information to answer their questions (77%) from trusted reliable resources (70%). Qualitative comments also suggest that the FIF is initially a helpful tool during the PBL course but becomes less useful over time as students become more familiar with resources. Conclusion: The FIF assists students in identifying trusted resources and in efficiently and effectively finding answers to questions at the point of learning. These data suggest that students are internalizing the tool’s conceptual algorithm over time, reinforcing the teaching of information management and information mastery. 


2011 ◽  
Vol 18 (6) ◽  
pp. 857-874 ◽  
Author(s):  
John Q. Ehrgott Jr. ◽  
Stephen A. Akers ◽  
Jon E. Windham ◽  
Denis D. Rickman ◽  
Kent T. Danielson

The dynamic airblast, fragmentation, and soil ejecta loading environments produced by the detonation of surface-laid and shallow-buried mines are major threats to lightweight military vehicles. During the past several years, the US Army has focused considerable attention on developing improved methods for predicting the below-vehicle environment from these threats for use by vehicle/armor analysts; thereby, improving the survivability of these platforms. The US Army Engineer Research and Development Center recently completed the first year of a three-year effort to experimentally and numerically quantify the blast and fragment loading environments on vehicles due to surface and subsurface mine and IED detonations. As part of this research effort, a series of experiments was conducted to quantify the effects of soil parameters on the aboveground blast environments produced by the detonation of aboveground bottom-surface-tangent, buried top-surface-tangent, and shallow-buried 2.3-kg (5-lb) Composition C4 charges. The experiments were conducted using three different well characterized soils; 10.8% air-filled-voids (AFV) silty sand, 5.4% AFV clay, and 29.8% AFV poorly graded sand. The combined aboveground loads due to airblast and soil debris were measured by an impulse measurement device. The near-surface airblast overpressure was quantified by a series of side-on measurements above the charges at one elevation and three radial distances. This paper summarizes and compares the results of the experimental program with emphasis on defining the effect of soil parameters on the aboveground blast environment.


2008 ◽  
Vol 38 (7) ◽  
pp. 1784-1796 ◽  
Author(s):  
Gert Andersson ◽  
Patrik Flisberg ◽  
Bertil Lidén ◽  
Mikael Rönnqvist

We describe the decision support system RuttOpt, which is developed for scheduling logging trucks in the forest industry. The system is made up of a number of modules. One module is the Swedish road database NVDB, which consists of detailed information of all of the roads in Sweden. This also includes a tool to compute distances between locations. A second module is an optimization routine that finds a schedule, i.e., set of routes for all trucks. This is based on a two-phase algorithm where linear programming and a standard tabu search method are used. A third module is a database storing all relevant information. At the center of the system is a user interface where information and results can be viewed on maps, Gantt schedules, and result reports. The RuttOpt system has been used in a number of case studies and we describe four of these. The case studies have been made in both forest companies and hauling companies. The cases range from 10 to 110 trucks and with a planning horizon ranging between 1 and 5 days. The results show that the system can be used to solve large case studies and that the potential savings are in the range 5%–30%.


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