Literature DB >> 30122790

Supplemental Learning in the Laboratory: An Innovative Approach for Evaluating Knowledge and Method Transfer.

Melissa D Carter1, Sarah S Pierce2, Albert D Dukes3, Rebecca H Brown4, Brian S Crow1, Rebecca L Shaner1, Leila Heidari5, Samantha L Isenberg1, Jonas W Perez1, Leigh Ann Graham6, Jerry D Thomas1, Rudolph C Johnson1, Aren E Gerdon7.   

Abstract

The Multi-Rule Quality Control System (MRQCS) is a tool currently employed by the Centers for Disease Control and Prevention (CDC) to evaluate and compare laboratory performance. We have applied the MRQCS to a comparison of instructor and computer-led pre-laboratory lectures for a supplemental learning experiment. Students in general chemistry and analytical chemistry from both two- and four-year institutions performed two laboratory experiments as part of their normal laboratory curriculum. The first laboratory experiment was a foundational learning experiment in which all the students were introduced to Beer-Lambert's Law and spectrophotometric light absorbance measurements. The foundational learning experiment was instructor-led only, and participant performance was evaluated against a mean characterized value. The second laboratory experiment was a supplemental learning experiment in which students were asked to build upon the methodology they learned in the foundational learning experiment and apply it to a different analyte. The instruction type was varied randomly into two delivery modes, participants receiving either instructor-led or computer-led pre-laboratory instruction. The MRQCS was applied and determined that no statistical difference was found to exist in the QC (quality control) passing rates between the participants in the instructor-led instruction and the participants in the computer-led instruction. These findings demonstrate the successful application of the MRQCS to evaluate knowledge and technology transfer.

Entities:  

Keywords:  Analytical Chemistry; Assessment; Computer-Based Learning; Continuing Education; Distance Learning; First-Year Undergraduate; Laboratory Instruction; Learning Theories; Second-Year Undergraduate; Upper-Division Undergraduate

Year:  2017        PMID: 30122790      PMCID: PMC6094388          DOI: 10.1021/acs.jchemed.6b00964

Source DB:  PubMed          Journal:  J Chem Educ        ISSN: 0021-9584            Impact factor:   2.979


  6 in total

1.  Test-based exact confidence intervals for the difference of two binomial proportions.

Authors:  I S Chan; Z Zhang
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

2.  SPORE series winner. The ChemCollective--virtual labs for introductory chemistry courses.

Authors:  David Yaron; Michael Karabinos; Donovan Lange; James G Greeno; Gaea Leinhardt
Journal:  Science       Date:  2010-04-30       Impact factor: 47.728

3.  Impact of undergraduate science course innovations on learning.

Authors:  Maria Araceli Ruiz-Primo; Derek Briggs; Heidi Iverson; Robert Talbot; Lorrie A Shepard
Journal:  Science       Date:  2011-03-11       Impact factor: 47.728

4.  A multi-rule Shewhart chart for quality control in clinical chemistry.

Authors:  J O Westgard; P L Barry; M R Hunt; T Groth
Journal:  Clin Chem       Date:  1981-03       Impact factor: 8.327

5.  Multi-rule quality control for the age-related eye disease study.

Authors:  Samuel P Caudill; Rosemary L Schleicher; James L Pirkle
Journal:  Stat Med       Date:  2008-09-10       Impact factor: 2.373

6.  National health and nutrition examination survey: plan and operations, 1999-2010.

Authors:  George Zipf; Michele Chiappa; Kathryn S Porter; Yechiam Ostchega; Brenda G Lewis; Jennifer Dostal
Journal:  Vital Health Stat 1       Date:  2013-08
  6 in total

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