Abstract

The primary aim of this study is to identify the characteristics of the students’ profiles regarding information and communications technology (ICT) use and their relations to background, motivational factors, and academic achievement. A sample of 4,838 U.S. students from PISA 2018 data was used. Latent profile analysis on ICT use for different purposes at different settings identified two distinct student subgroups. Logistic regression revealed that perceived ICT competence, gender, and SES predicted students' profile membership. Linear regression showed that students who use ICT moderately across all aspects performed better academically than the students who use ICT heavily for entertainment. Our study shows the need to investigate ICT use at a finer granularity to better distinguish different types of ICT use and to provide insights into characteristics of the U.S. students' subgroups.

摘要

本研究的主要目的是确定学生在信息和通信技术 (ICT) 使用方面的特征及其与背景、动机因素和学业成就的关系。使用了来自 PISA 2018 数据的 4,838 名美国学生的样本。对不同环境下不同目的的 ICT 使用的潜在概况分析确定了两个不同的学生亚组。Logistic 回归显示，感知的 ICT 能力、性别和 SES 预测了学生的档案成员资格。线性回归表明，在各方面适度使用 ICT 的学生在学业上的表现优于大量使用 ICT 娱乐的学生。