Econometric Assessment of 'One Minute' Paper as a Pedagogic Tool

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Bibliographic Details
Title: Econometric Assessment of 'One Minute' Paper as a Pedagogic Tool
Language: English
Authors: Das, Amaresh
Source: International Education Studies. Feb 2010 3(1):17-22.
Availability: Canadian Center of Science and Education. 1120 Finch Avenue West Suite 701-309, Toronto, ON M3J 3H7, Canada. Tel: 416-642-2606 Ext 206; Fax: 416-642-2608; e-mail: ies@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/es
Peer Reviewed: Y
Page Count: 6
Publication Date: 2010
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Statistics, Teaching Methods, Statistical Significance, Regression (Statistics), Correlation, Grade Point Average, College Students, Control Groups, Experimental Groups, Comparative Analysis, Instructional Effectiveness, Spreadsheets, Student Attitudes, Feedback (Response), Tests, Equations (Mathematics), Validity, Economics
Geographic Terms: District of Columbia
ISSN: 1913-9020
Abstract: This paper makes an econometric testing of one-minute paper used as a tool to manage and assess instruction in my statistics class. One of our findings is that the one minute paper when I have tested it by using an OLS estimate in a controlled Vs experimental design framework is found to statistically significant and effective in enhancing students' knowledge. It is found to be equally effective when I have tested it by using a seemingly unrelated regression that allows the error terms to be correlated across separate but related regressions. This is irrespective of students' ability levels as is measured by GPA in both cases.
Abstractor: As Provided
Number of References: 10
Entry Date: 2015
Accession Number: EJ1066069
Database: ERIC
Description
Abstract:This paper makes an econometric testing of one-minute paper used as a tool to manage and assess instruction in my statistics class. One of our findings is that the one minute paper when I have tested it by using an OLS estimate in a controlled Vs experimental design framework is found to statistically significant and effective in enhancing students' knowledge. It is found to be equally effective when I have tested it by using a seemingly unrelated regression that allows the error terms to be correlated across separate but related regressions. This is irrespective of students' ability levels as is measured by GPA in both cases.
ISSN:1913-9020