Data science, learning, and applications to biomedical and health sciences

ABSTRACT Objectives: To meet the changing priorities of researchers and funding agencies, U.S. college and university libraries (C&ULs) that are not Association of Academic Health Sciences Libraries (AAHSL) members may want to hire librarians capable of supporting interdisciplinary health sciences research. This study sought to identify whether such roles are emerging by examining advertised position descriptions. Methods: We collected position advertisements posted to job boards and mailing lists between September 1 2018 and March 1 2019. Positions that included one of these terms in the title, qualifications, or responsibilities were eligible for inclusion: medic*, health, life, nursing, veterinary, bio*, pharma*. We categorized postings by institution type, geographic region, and position type. We used grounded theory to identify themes within the data, and NVivo to quantify how often each theme appeared within the data. Results: 104 job postings met our inclusion criteria: 60 at AAHSL institutions and 44 at C&UL institutions. Despite some minor variations among specific roles and responsibilities, we found substantial overlap in the qualifications listed for positions at both types of institution. Qualifications more often prioritized traditional librarian competencies rather than emerging areas, such as data science, grant support, and research impact. Conclusions: Both AAHSL and C&UL institutions show an interest in hiring librarians capable of supporting health and life sciences teaching and research. Competition for a similar pool of applicants may create challenges for hiring officials, and librarians interested in these positions will likely seek out professional development opportunities in emerging areas of practice.

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Convergent Validity Testing of a Value-Achievement-Cost Motivation Survey for 12th Grade Female Career and Technical Education Health Sciences Students for Use in Serious Simulation Games

Career and Technical Education Research ◽

10.5328/cter45.2.39 ◽

2020 ◽

Vol 45 (2) ◽

pp. 39-58

Author(s):

Kevin R. Glover ◽

Alec Bodzin

Keyword(s):

Career And Technical Education ◽

Student Motivation ◽

Convergent Validity ◽

Science Learning ◽

Health Sector ◽

Health Sciences ◽

Health Science ◽

Predictive Utility ◽

Career And Technical ◽

A Value

A Value-Achievement-Cost (VAC) Survey was psychometrically tested to continue to establish its predictive utility for future research with 12th grade female Career and Technical Education (CTE) health science classroom cohorts of less than 50 students. In this study, a 10-construct, 46-item VAC Survey was administered to 31 college-bound 12th grade female students who had self-selected themselves to participate in a year-long, dual enrollment, CTE health science program. The VAC Survey was used to measure student motivation associated with science in general, health sector science learning, and playing health sciences-related games. Convergent validity was established in nine of the ten constructs by comparing the Cronbach alpha coefficients of the 10-construct, 46-item VAC Survey compared to the same instrument previously tested with a similar CTE health science student cohort (n = 37). Internal consistency for these nine VAC Survey constructs were strong with Cronbach alpha coefficients between 0.80 and 0.93. This study has provided additional psychometric evidence that reinforces the VAC Survey's construct validity and internal consistency. The study further supports the predictive utility of the instrument to measure 12th grade female CTE health sciences student motivation associated with science in general, health sector science learning, and playing health sciences-related games.

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Data Science and Predictive Analytics: Biomedical and Health Applications Using R

Journal of the Medical Library Association JMLA ◽

10.5195/jmla.2020.901 ◽

2020 ◽

Vol 108 (2) ◽

pp. 334

Author(s):

Benjamin H. Saracco

Keyword(s):

Programming Language ◽

Data Science ◽

Predictive Analytics ◽

Health Sciences ◽

Online Course ◽

Data Sets ◽

R Programming Language ◽

R Programming ◽

Health Applications ◽

Analyze Data

Ivo D. Dinov’s Data Science and Predictive Analytics: Biomedical and Health Applications Using R is a comprehensive twenty-three-chapter text and online course for burgeoning or seasoned biomedical and/or health sciences professionals who analyze data sets using the R programming language.

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PENERAPAN METODE PEMBERIAN TUGAS UNTUK MENINGKATKAN HASIL BELAJAR IPA SISWA KELAS IV SD NEGERI 004 TEMBILAHAN KECAMATAN TEMBILAHAN KABUPATEN INDRAGIRI HILIR

Primary: Jurnal Pendidikan Guru Sekolah Dasar ◽

10.33578/jpfkip.v6i1.4104 ◽

2017 ◽

Vol 6 (1) ◽

pp. 242

Author(s):

Muhammad MH Muhammad MH

Keyword(s):

Action Research ◽

Student Learning ◽

Learning Outcomes ◽

Science Learning ◽

Data Science ◽

Fourth Graders ◽

Student Learning Outcomes ◽

Research Subjects ◽

Fourth Grade Students ◽

Improve Student Learning

The low yield of fourth grade students learn science SD Negeri 004 Tembilahan this is the background of this research, this is evidenced by the acquisition of the average student learning outcomes that is equal to 63.31. This study aims to improve student learning outcomes through the implementation of the method of administration tasks. This research is a classroom action research subjects fourth graders SD Negeri 004 Tembilahan by the number of 32 students, the study was conducted as much as two cycles consisting of two meetings. The data used in this study focuses on improving learning outcomes and student learning completeness. Based on the results obtained under the data science learning outcomes increased in each cycle, the pre-cycle (basic score) average learning results obtained by the students was 63.31 by the number of students who completed by 16 (50.00%), in cycle I rise to 70.31 by the number of students who pass the number 25 (78.12%), and the second cycle increased to 73.59 by the number of students who completed totaling 32 students. Based on these results, it can be concluded that the application of the method of administration tasks can improve student learning outcomes IPA IV SD Negeri 004 Tembilahan.

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