Students’ digital addiction and learning difficulties: shortcomings of surveys in inclusion

• DOI: 10.3389/feduc.2023.1191817
• Publication Date: 2023-07-13T15:13:58Z
• Authors: Riin Seema; Ene Varik-Maasik
• Keywords: digital addiction; inclusive education; screen time; outliers; 05 social sciences; survey; Education (General); L7-991; learning difficulties; 0503 education

Students have been distance learning to a considerable extent during the Covid years and primary concerns are teenagers’ difficulties, digital addiction long screen time. Our aim was thus study perceived The current part of larger e-survey. data were collected across Estonia from 8,486 teenagers who studied in inclusive education system spring 2022. students 11–20 old. While analysing data, we had exclude answers 315 students. Those answered carelessly or inaccurately, written an inaccurate age, illogical similar throughout test. We level shows positive correlations between Digital time predict 11% variability difficulties scores based on Linear Regression model. model poor prediction for whose very different mean. describe weaknesses e-survey method education. statistical models well average students, but do not respondents so-called residuals need special attention or, paradoxically, exclusion analysis. outliers often help system. Here, will share our insights, what learned as researchers conducting study. cannot collect reliable about needs with any wide scale if address developmentally heterogeneous group their while participating survey. This is significant reliability gathering children needs.