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Implementation of an R Shiny App for Instructors: An Automated Text Analysis Formative Assessment Tool for Evaluating Lewis Acid–Base Model Use (Record no. 44894)

MARC details
000 -LEADER
fixed length control field 02078nam a22002537a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231116121759.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231020b ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN 0021-9584
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition RIEBPL Library
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 540.7
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Brandon J. Yik, David G. Schreurs, and Jeffrey R. Raker
245 ## - TITLE STATEMENT
Title Implementation of an R Shiny App for Instructors: An Automated Text Analysis Formative Assessment Tool for Evaluating Lewis Acid–Base Model Use
Remainder of title (Journal Article)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication USA
Name of publisher :American Chemical Society
Year of publication August 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages 3107–3113 P.
490 ## - SERIES STATEMENT
Series statement American Chemical Society, Volume 100, Issue 8
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note ***______{For Hard Copy, Please visit Library.}________***
520 ## - SUMMARY, ETC.
Summary, etc Abstract<br/> <br/> Acid–base chemistry, and in particular the Lewis acid–base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid–base reactions and nucleophile–electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the creation of predictive text analysis models that evaluate a large number of open-ended, written formative assessment items. One of these machine learning-based tools developed by the authors evaluates correct Lewis acid–base model use. Bridging the gap between educational research, technological innovation, and instructional practice, we report the development of a web-based, interactive app using R Shiny application technologies that automates scoring of written assessments about acid–base chemistry. Results given by this Shiny app, in the form of on-screen output or a downloadable file, provide instructors with immediate feedback to evaluate acid–base instruction in their organic chemistry courses.<br/><br/><br/><br/><br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Second-Year Undergraduate
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Upper-Division Undergraduate
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Organic Chemistry Acid−Base
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Theories Mechanisms of Reactions
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1021/acs.jchemed.3c00400
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Periodicals
Holdings
Lost status Damaged status Home library Current library Date acquired Full call number Koha item type
    RIE BPL Library RIE BPL Library 16.11.2023 540.7 Periodicals

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