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The impact of computer-assisted technology on literacy acquisition during COVID-19-related school closures: Group-level effects and predictors of individual-level outcomes.
Richter, Caroline G; Siegelman, Noam; Mahaffy, Kelly; Van Den Bunt, Mark; Kearns, Devin M; Landi, Nicole; Sabatini, John; Pugh, Kenneth; Hoeft, Fumiko.
  • Richter CG; Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States.
  • Siegelman N; Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
  • Mahaffy K; Haskins Laboratories, New Haven, CT, United States.
  • Van Den Bunt M; Departments of Psychology and Cognitive and Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.
  • Kearns DM; Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
  • Landi N; Haskins Laboratories, New Haven, CT, United States.
  • Sabatini J; Haskins Laboratories, New Haven, CT, United States.
  • Pugh K; Department of Educational Psychology, Neag School of Education, Storrs, CT, United States.
  • Hoeft F; Department of Psychological Sciences, University of Connecticut, Mansfield, CT, United States.
Front Psychol ; 13: 1001555, 2022.
Article in English | MEDLINE | ID: covidwho-2199182
ABSTRACT

Introduction:

The COVID-19 pandemic led to school closure and loss of in-person instruction during the 2019-2020 academic year across the United States, which had a profound impact on the reading development of beginning readers. In this study we tested if a research-informed educational technology (EdTech) program-GraphoLearn-could help alleviate the COVID-19 slide. We also sought to understand the profiles of children who benefitted most from this EdTech program.

Methods:

We tested participants' (N = 172 K-2 children) early literacy skills using a standardized measure (STAR) before and after playing GraphoLearn, and used the pre to post difference as the dependent variable. We first compared children's STAR actual and expected growth. Then we conducted a multiple regression analysis with data about engagement with GraphoLearn included as predictors. Additional predictors were extracted from GraphoLearn performance at study onset to assess children's letter-sound knowledge, rime awareness, and word recognition.

Results:

The difference between actual average reading growth and expected growth in a regular school year was not statistically significant. This suggests that children in our sample seem to be gaining reading skills as expected in a regular school year. Our multiple linear regression model (which accounted for R2 = 48% of reading growth) showed that older children, with higher baseline GraphoLearn word recognition, who played more units in a fixed number of days, made significantly more early literacy progress.

Discussion:

While lacking a control group, our preliminary results suggest that an EdTech program such as GraphoLearn may be a useful reading instructional tool during school shutdowns. In addition, our results suggest that practice with GraphoLearn was more effective and efficient when foundational instruction was already in place.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Front Psychol Year: 2022 Document Type: Article Affiliation country: Fpsyg.2022.1001555

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal: Front Psychol Year: 2022 Document Type: Article Affiliation country: Fpsyg.2022.1001555