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Open AccessJournal Article

Learning With Technology: The Impact of Laptop Use on Student Achievement

James Cengiz Gulek, +1 more
- 01 Jan 2005 - 
- Vol. 3, Iss: 2, pp 4-20
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Abstract
Rapid technological advances in the last decade have sparked educational practitioners’ interest in utilizing laptops as an instructional tool to improve student learning. There is substantial evidence that using technology as an instructional tool enhances student learning and educational outcomes. Past research suggests that compared to their non-laptop counterparts, students in classrooms that provide all students with their own laptops spend more time involved in collaborative work, participate in more project-based instruction, produce writing of higher quality and greater length, gain increased access to information, improve research analysis skills, and spend more time doing homework on computers. Research has also shown that these students direct their own learning, report a greater reliance on active learning strategies, readily engage in problem solving and critical thinking, and consistently show deeper and more flexible uses of technology than students without individual laptops. The study presented here examined the impact of participation in a laptop program on student achievement. A total of 259 middle school students were followed via cohorts. The data collection measures included students’ overall cumulative grade point averages (GPAs), end-of-course grades, writing test scores, and state-mandated norm- and criterion-referenced standardized test scores. The baseline data for all measures showed that there was no statistically significant difference in English language arts, mathematics, writing, and overall grade point average achievement between laptop and non-laptop students prior to enrollment in the program. However, laptop students showed significantly higher achievement in nearly all measures after one year in the program. Cross-sectional analyses in Year 2 and Year 3 concurred with the results from the Year 1. Longitudinal analysis also proved to be an independent verification of the substantial impact of laptop use on student learning outcomes.

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Citations
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Martin G. Gibson
- 01 Mar 1989 - 
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The effects of integrating mobile devices with teaching and learning on students' learning performance

TL;DR: There was a moderate mean effect size of 0.523 for the application of mobile devices to education and the advantages and disadvantages of mobile learning in different levels of moderator variables were synthesized based on content analyses of individual studies.
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New Technology and Digital Worlds: Analyzing Evidence of Equity in Access, Use, and Outcomes

TL;DR: There is a broad consensus among educators, communication scholars, sociologists, and economists that the development and diffusion of information and communication technologies (ICT) are having a profound effect on modern life as mentioned in this paper.
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Implementation and Effects Of One-to-One Computing Initiatives: A Research Synthesis

TL;DR: Findings from research and evaluation studies that analyzed implementation and effects of one-to-one initiatives from a range of countries show positive effects on technology use, technology literacy, and writing skills.
References
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Book

Statistical Analysis with Missing Data

TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
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Multiple imputation for nonresponse in surveys

TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
Journal ArticleDOI

Random-effects models for longitudinal data

Nan M. Laird, +1 more
- 01 Dec 1982 - 
TL;DR: In this article, a unified approach to fitting two-stage random-effects models, based on a combination of empirical Bayes and maximum likelihood estimation of model parameters and using the EM algorithm, is discussed.
Journal ArticleDOI

Inference and missing data

Donald B. Rubin
- 01 Dec 1976 - 
TL;DR: In this article, it was shown that ignoring the process that causes missing data when making sampling distribution inferences about the parameter of the data, θ, is generally appropriate if and only if the missing data are missing at random and the observed data are observed at random, and then such inferences are generally conditional on the observed pattern of missing data.
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Trending Questions (2)
What is the effect of laptop on IT students?

The provided paper does not specifically mention the effect of laptops on IT students. The paper focuses on the impact of laptop use on student achievement in general.

How has the use of laptop as modern technology impacted the way we live and work?

The use of laptops as modern technology has enhanced student learning, leading to increased collaboration, problem-solving, critical thinking, and access to information.