Implementing Government Elementary Math Exercises Online: Positive Effects Found in RCT under Social Turmoil in Chile

被引:16
作者
Araya, Roberto [1 ]
Diaz, Karina [1 ,2 ]
机构
[1] Univ Chile, Inst Educ, Ctr Adv Res Educ, Santiago 8330014, Chile
[2] Columbia Univ, Teachers Coll, New York, NY 10027 USA
关键词
RCT; educational technology; blended learning; testing and evaluation; multilevel imputation; MISSING DATA; MULTIPLE IMPUTATION; CHAINED EQUATIONS; EFFECT SIZES; ACHIEVEMENT; TECHNOLOGY; STRATEGIES;
D O I
10.3390/educsci10090244
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The impact of online math programs depends on its implementation, especially in vulnerable populations from developing countries. An existing online platform was adapted, at the request of the Chilean Ministry of Education, to exclusively include exercises previously designed and tested by a paper-based government program for elementary school. We carried out a cluster-randomized controlled trial (RCT) with 50 fourth grade classrooms. Treatment classrooms used the platform in a weekly 90-min math session. Due to a social instability outbreak in the country, a large unexpected disruption with huge absenteeism occurred in the second half of the semester, which turned this study into a unique opportunity to explore the robustness of the platform's effects on students' learning. Using multiple imputation and multilevel models, we found a statistically significant effect size of 0.13, which corresponds to two extra months of learning. This effect is meaningful for four reasons. First, it has double the effect of the paper-based version. Second, it was achieved during one semester only. Third, is half that obtained with the platform for a complete year with its own set of exercises and with two sessions per week instead of one. Fourth, it was attained in a semester with a lot of absenteeism.
引用
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页码:1 / 15
页数:15
相关论文
共 56 条
[1]  
[Anonymous], 2009, Multiple Imputation for Nonresponse in Surveys
[2]  
[Anonymous], 1997, Analysis of incomplete multivariate data
[3]  
[Anonymous], 2011, Handbook of Advanced Multilevel Analysis, DOI 10.4324/9780203848852-18
[4]  
Araya Roberto, 2015, Design for Teaching and Learning in a Networked World. 10th European Conference on Technology-Enhanced Learning, EC-TEL 2015. Proceedings: LNCS 9307, P383, DOI 10.1007/978-3-319-24258-3_28
[5]  
Araya R., 2013, P WORKSH 16 INT C AR
[6]  
Araya R., DOES GAMIFICATION ED
[7]  
Araya R., 2020, LEARNING MATH 21 CEN, P225
[8]   Context-Based Personalized Predictors of the Length of Written Responses to Open-Ended Questions of Elementary School Students [J].
Araya, Roberto ;
Jimenez, Abelino ;
Aguirre, Carlos .
MODERN APPROACHES FOR INTELLIGENT INFORMATION AND DATABASE SYSTEMS, 2018, 769 :135-146
[9]   Teacher Training, Mentoring or Performance Support Systems? [J].
Araya, Roberto .
ADVANCES IN HUMAN FACTORS IN TRAINING, EDUCATION, AND LEARNING SCIENCES, 2019, 785 :306-315
[10]   Estimation of teacher practices based on text transcripts of teacher speech using a support vector machine algorithm [J].
Araya, Roberto ;
Plana, Francisco ;
Dartnell, Pablo ;
Soto-Andrade, Jorge ;
Luci, Gina ;
Salinas, Elena ;
Araya, Marylen .
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 2012, 43 (06) :837-846