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

Abstract

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

Symptoms of Digital Addiction of Estonian Primary School Students

“…Similarly, Seema and colleagues (2022) found that the presence of symptoms of digital addiction was associated with poorer engagement in learning, higher levels of burnout due to learning, and the presence of learning disabilities (Seema et al, 2022;Seema & Varik-Maasik 2023). One of the reasons may be the habitual use of frequent digital devices, which diverts attention away from learning (Chen et al, 2020).…”

“…Sadly, students with learning difficulties may find answering a questionnaire difficult, therefore there may be students with learning difficulties whose answers were left out of analysis. Students with learning difficulties may need some extra attention and help with filling in any long questionnaire (Seema & Varik-Maasik, 2023).…”

Digital Facilities Utilization and Computer Skills Among Science and Arts Students

“…College students need to learn proper time management strategies. More research needs to be conducted on this topic to better address the issue and improve the techniques in the future [8,9,10].…”

From clicks to credits: examining the influence of online engagement and internet addiction on academic performance in Chinese universities

“…While digital technologies offer benefits like skill development and resource accessibility (Costley, 2014), the rise of internet addiction among university students presents a significant concern (Mhlongo et al, 2023;Seema & Varik-Maasik, 2023). Fan et al (2023) highlight its negative impacts, including emotional abuse, neglect, and mental health issues.…”