Reaching Millennials Through Innovations in Teaching

Shaughnessy, Paige

doi:10.1044/ihe12.1.4

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…6 Perhaps most problematic is the expectation that all of the valued information is digitally accessible. 7 Scientists may be unaware of where valuable, older, and perhaps at-risk data reside. Exemplary work by Dr. R. Elizabeth Griffin shows that historical data about atmospheric ozone depended on her knowledge of the existence of these mostly unknown photographic plates.…”

Section: Introductionmentioning

confidence: 99%

Where Have All the Scientific Data Gone? LIS Perspective on the Data-At-Risk Predicament

Thompson¹,

Robertson²,

Greenberg³

2014

CRL

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Scientists produce vast amounts of data that often are not preserved properly or do not have inventories, placing them at risk. As part of an effort to more fully understand the data-at-risk predicament, researchers who were engaged in the DARI project at UNC's Metadata Research Center surveyed information custodians working in a range of settings. The survey collected information on the data characteristics and preservation plans. Forty-three information custodians completed the survey. The results indicate that atrisk data include a variety of formats, subject areas, and ownership status, as well as compliance with a variety of standards. Although a majority of respondents agree that data preservation is important, they caution that time is the greatest barrier to sharing these data. The study has implications for data rescue and for training information custodians.xperimental and observational data are central to scientific research. With a growing pool of scientific data, researchers have the potential to investigate new questions and use new analytical techniques. To enable this data revolution, the National Science Foundation has funded initiatives to develop cyberinfrastructure for managing, preserving, and sharing scientific data.1 In addition to infrastructure development, there are increasing expectations of open access and new mandates for scientific data management and sharing. For instance, on February 22, 2013, the U.S. Office of Science and Technology Policy released a memo directing federal agencies to increase public access to federal research publications and digital data.2 The memo called for federal agencies with over $100 million in research and development expenditures to develop policies and a plan for access and long-term preservation of government-sponsored research products. Open access presents many challenges for scientists. Scientists are so concerned about data sharing and preservation that the editors of Science recently devoted a special issue to the topic.

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Section: Introductionmentioning

confidence: 99%

Where Have All the Scientific Data Gone? LIS Perspective on the Data-At-Risk Predicament

Thompson¹,

Robertson²,

Greenberg³

2014

CRL

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“…It has been recognized as a factor that impacts how reality is organized and interpreted and as a basis for commonality within generational groupings. Recent studies have considered the challenges and opportunities present when older mentors in the workplace or academia mentor the millennial generation (Cary, 2008;Shaunessy, 2009). For example, Walker (2009) highlights the unique skills and work ethic of the millennials while Krader (2010) emphasizes the need for different communication and teaching strategies.…”

Section: Powermentioning

confidence: 99%

Two Cultures Collide: Bridging the Generation Gap in a Non - traditional Mentorship

Merriweather¹,

Morgan

2015

TQR

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Cross - cultural mentoring relationships between younger mentors and older mentees are increasing in frequency across all levels of post - secondary education. Generational cultural differences can result in conflict and misunderstanding and therefore should be considered in non - traditional inter - generational mentoring relationships. Through auto - ethnographic inquiry, we, a younger faculty member and older graduate student, explored our mentoring relationship. We identified communication, respect, and ambiguous roles as issues that significantly impacted our mentorship. The manifestation of power was also highlighted in the study.

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Generational Differences in Work Ethic Among Speech-Language Pathologists

McCullough

Gaugler

2021

Perspect ASHA SIGs

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Purpose To date, there is limited available research with a specific focus on the potential differences in work ethic among speech-language pathologists from different social generations. The purpose of this study was to provide a better understanding of the work ethic profile of three generations of speech-language pathologists and, in particular, of any differences in work ethic profiles among the three generations. Method This study used a quantitative, nonexperimental, cross-sectional design to better understand work ethic among the three generations of speech-language pathologists through the use of an online survey containing the Multidimensional Work Ethic Profile–Short Form. Results The 814 surveys analyzed indicated that the three distinct generations of speech-language pathologists exhibited differences in four out of the seven dimensions of work ethic. Conclusions Through this study, the authors developed a work ethic profile for each of the three generations of speech-language pathologists licensed in the Commonwealth of Pennsylvania. While there were some similarities in the dimensions of work ethic among the three generational cohorts, statistically significant differences were discovered in the dimensions of Morality/Ethics, Leisure, Centrality of Work, and Wasted Time. Understanding differences in work ethic could be beneficial to employers, administrators, and supervisors for recruitment and retention purposes as well as to speech-language pathologists who work with colleagues of different generational cohorts.

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Reaching Millennials Through Innovations in Teaching

Cited by 3 publications

References 3 publications

Where Have All the Scientific Data Gone? LIS Perspective on the Data-At-Risk Predicament

Where Have All the Scientific Data Gone? LIS Perspective on the Data-At-Risk Predicament

Two Cultures Collide: Bridging the Generation Gap in a Non - traditional Mentorship

Generational Differences in Work Ethic Among Speech-Language Pathologists

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