Actionable companion · Cognitive load & attention
Learning with agency: Holistic exploration of reading comprehension skills, technology and socioeconomic factors in Spanish teenagers
AI-assisted editorial implementation guide, separate from the original research. Proposed actions are not claims or recommendations attributed to the source authors. No independent peer review of this guide is asserted.
Evidence and context
Title and abstract screening; stage labels describe reported settings, not verified numerical ages. Design labels require full-text appraisal. Reported stage(s): Children · stage unspecified. Verify the participant population and task before transferring the findings.
Original authors’ abstract, reproduced under the linked source license:
The intricate relationship between teenagers' literacy and technology underscores the need for a comprehensive understanding, particularly in the Spanish context. This study employs explainable artificial intelligence (AI) to delve into this complex interplay, focusing on the pivotal role of reading comprehension skills in the personal and career development of Spanish teenagers. With a sample of 22,400 15-year-olds from the PISA dataset, we investigate the impact of socioeconomic factors, technology habits, parental education, residential location, and school type on reading comprehension skills. Utilizing machine learning techniques, our analysis reveals a nuanced connection between autonomy, technological proficiency, and academic performance. Notably, family oversight of technology use emerges as a crucial factor in managing the impact of digital technology and the Internet on reading comprehension skills. The study emphasizes the necessity for a balanced and supervised introduction to technology from an early age. Contrary to current trends, our findings indicate that online gaming may not contribute positively to reading comprehension skills, while moderate daily Internet use (1–4 h) proves beneficial. Furthermore, the study underscores the ongoing nature of acquiring reading comprehension and technological skills, emphasizing the need for continuous attention and guidance from childhood. Parental education levels are identified as partial predictors of children's performance, emphasizing the importance of a holistic educational approach that considers autonomy and technological literacy. This study advocates for addressing socio-economic and gender inequalities in education and highlights the crucial role of cooperation between schools and families, particularly those with lower educational levels. Highlights • Online gaming is negatively related to reading comprehension skills as exposure time increases. • Moderate daily Internet use (1–4 h) is beneficial for reading comprehension skills, while extreme use is detrimental. • Educated parents significantly improve teenagers' reading comprehension skills. • Increasing teenagers' autonomy and technological literacy promotes reading comprehension skills. • Late exposure to digital environments can negatively affect reading comprehension skills.
What kind of evidence is this?
Supporting AI learning science · Design requires full-text appraisal
Stage: Children · stage unspecified. Screening labels describe reported context and study-design language. They are not a risk-of-bias rating or proof of effectiveness for an age band.
Participant ages · source passage
With a sample of 22,400 15-year-olds from the PISA dataset, we investigate the impact of socioeconomic factors, technology habits, parental education, residential location, and school type on reading comprehension skills.
Study methods · source passage
The PISA report is a global assessment conducted every three years under the auspices of the Organization for Economic Cooperation and Development [20]. Its main objective is to measure and compare the academic performance of 15-year-old students in different countries by analyzing their performance in mathematics, science and reading. It provides a perspective on the quality of education in different nations, identifying strengths and weaknesses in their education systems. It serves as a fundamental tool for understanding and improving education worldwide. It provides detailed information about students’ skills and competencies, helping to identify areas for improvement and to make informed decisions to implement more effective education policies.
Limitations and uncertainty · source passage
Despite the interesting results obtained in this research, there are certain limitations. The selection of variables from among the more than 1,000 provided by the PISA report was initially challenging and was done considering the Spanish context. It is also important to consider that there may be cultural and contextual differences between the different autonomous communities where the data were collected.
Design the system before the pilot
Use this study to inform a learning mechanism or implementation question. It is not direct evidence that autonomous agents improve learning. Keep the proposed agent behavior separate from what the source actually tested.
- Limit simultaneous instructions and unnecessary dialogue. Compare task performance and a suitable mental-effort measure; easier-feeling work is not automatically better learning.
A 90-day district pilot
- Days 1–15 · Appraise. Have the curriculum lead and a teacher read the methods and limitations. Record the study design, sample, comparator, outcomes and evidence gaps. Define a local question that the study can help inform.
- Days 16–30 · Design. Establish the participants’ ages, developmental needs and educational setting from the full paper before selecting an intervention. Use adult-mediated activity and preserve hands-on and peer learning. Name an accountable owner and set the baseline, success threshold and budget before implementation.
- Days 31–60 · Test. Start with a small voluntary cohort, preserve an accessible non-AI route and require teacher review. Use synthetic or de-identified examples; approve data handling and tool terms through district processes.
- Days 61–90 · Decide. Evaluate an age-appropriate independent task after the interaction. Do not infer a preschool or primary-school effect when the paper does not establish that population. Compare with baseline, document uncertainty and stop or revise if learning worsens, access is unequal or critical errors persist.
The board decision brief
Report the learning problem, evidence quality, participating population, total cost including review time, measured benefit, errors, access differences and remaining uncertainties. Make a dated recommendation to stop, revise or expand. A positive perception survey alone does not establish learning improvement.
Attribution and reuse
Juan Ramón Rico-Juan; Beatriz Peña-Acuña; Oscar Navarro-Martinez. Holistic exploration of reading comprehension skills, technology and socioeconomic factors in Spanish teenagers. Heliyon (2024-06-06). https://doi.org/10.1016/j.heliyon.2024.e32637
Companion prepared 2026-10-30. Original authorship and DOI are preserved. The abstract is an attributed source extract; the implementation plan is new AI-assisted editorial material, offered under the same CC BY 4.0 license. This guide has not undergone independent peer review.