Analítica de aprendizaje e inteligencia artificial responsable para la toma de decisiones pedagógicas basadas en datos en educación básica: una perspectiva sistemática y empírica
Keywords:
learning analytics, artificial intelligence, basic education, educational equity, ethical AIAbstract
This study investigates the role of learning analytics under responsible artificial intelligence in facilitating data-driven methods in teaching, particularly in basic education, to analyze the effectiveness and ethics of the practice. A research design of two phases, respectively, a systematic literature review and a quantitative explanatory empirical study, was adopted. First, in compliance with the PRISMA 2020 standard, a systematic literature review was presented, in which the author synthesized 85 peer-reviews articles for the period of 2020 to 2025 in renowned international databases. Second, an explanatory study of quantitative nature within a cross-sectional design was carried out within the public basic education system in the empirical phase of the study, which served 312 students of the upper primary and lower secondary cycles, and 60 teachers of the languages, mathematics, and science of the disciplines. Data showed that the learning analytics indicators of academic and behavioral risks of students and the interactivity of students positively influence data-informed pedagogy. In addition, responsible artificial intelligence of teachers, particularly transparency, negligence, data custodianship, and human trump, the most robust constrains of predictive of trust and the most effective utilization of the insights supported by analytics. This study made the first empirical contribution to the field by proposing and estimating an integrative concept of learning analytics as a decision support system within orthodox AI and a teacher’s ethics combined. This study is effective for most educators and policy makers to promote data-centered innovations that are defined sustianably, equitably, and responsibly in basic education.
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