Exploiting a natural experiment in assessing student learning outcomes in public and nonprofit administration: A demonstration

Author:

Galope Reynold1ORCID,Bilyk Robert2,Woldeab Daniel1

Affiliation:

1. Metropolitan State University, USA

2. LodeStar Learning Corporation, USA

Abstract

This study exploits a natural experiment to establish the equivalence and/or difference in student learning outcomes between online and face-to-face public and nonprofit administration courses. Its main contribution is thus methodological. We will reexamine the online v. classroom debate - the face-to-face lecture is still the most effective method to deliver course content to students - using a new dataset and estimation approach. Our research addresses this causal inference question: Does the format of course delivery impact student learning? The most robust empirical strategy to rule out alternative explanations in causal studies is the experimental approach. In this study, we did not employ the experimental research design or any standard techniques, for example, regression analysis, available to the program evaluator or policy analyst. Instead, we exploited a naturally occurring phenomenon in a classroom environment to approximate statistical equivalence in the characteristics of students in the online and classroom formats and satisfy the exogeneity assumption of the treatment variable. Its more practical contribution is the use of learning theory and new research in online pedagogy to discuss the study’s conclusions and implications for online programming, instruction, and program coordination. We developed the feedback as teaching philosophy or approach to close the gap between the learning outcomes of completely asynchronous online and entirely face-to-face classes in public administration.

Publisher

SAGE Publications

Subject

Public Administration,Education

Reference36 articles.

1. Allen E, Seaman J (2017) Digital learning compass: distance education enrollment report 2017. Babson Survey Research Group. Available at: https://onlinelearningconsortium.org/read/digital-learning-compass-distance-education-enrollment-report-2017/

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3