Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students
This dataset contains the anonymized data used in the study “Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students.” The study employed a cross-sectional, associative-predictive design and included 1,902 Peruvian...
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| Autor principal: | |
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| Formato: | Conjunto de datos |
| Lenguaje: | inglés |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | Enlace permanente (DOI o Handle) |
| Etiquetas: |
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| _version_ | 1881700519507918848 |
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| author | Josué Edison Turpo Chaparro |
| author_browse | Josué Edison Turpo Chaparro |
| author_facet | Josué Edison Turpo Chaparro |
| author_sort | Josué Edison Turpo Chaparro |
| collection | Producción científica |
| description | This dataset contains the anonymized data used in the study “Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students.” The study employed a cross-sectional, associative-predictive design and included 1,902 Peruvian university students. Data were collected using the Attitudes toward Artificial Intelligence Scale (AIAS-4), the Short Grit Scale (Grit-S), the Perceived Stress Scale (PSS-10), and the Self-Regulated Learning Scale. The dataset includes variables related to attitudes toward artificial intelligence, consistency of interests, perseverance of effort, distress, coping/perceived control, and the control and autonomy dimensions of self-regulated learning. Sociodemographic variables are also included. The data were analyzed using descriptive statistics, Pearson correlations, and structural equation modeling with the WLSMV estimator. All identifying information was removed prior to deposit. |
| format | Dataset |
| id | openalex:W7208784007 |
| institution | UPeU |
| language | English |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | openalex:W7208784007Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university studentsJosué Edison Turpo Chaparroattitudes toward AIstudent self-regulationperseverancegritperceived stressuniversity studentsPeruvian studentscopingperceived controlautonomyconsistency of interestGrit, Self-Efficacy, and MotivationInnovative Teaching and Learning MethodsStudent Stress and CopingThis dataset contains the anonymized data used in the study “Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students.” The study employed a cross-sectional, associative-predictive design and included 1,902 Peruvian university students. Data were collected using the Attitudes toward Artificial Intelligence Scale (AIAS-4), the Short Grit Scale (Grit-S), the Perceived Stress Scale (PSS-10), and the Self-Regulated Learning Scale. The dataset includes variables related to attitudes toward artificial intelligence, consistency of interests, perseverance of effort, distress, coping/perceived control, and the control and autonomy dimensions of self-regulated learning. Sociodemographic variables are also included. The data were analyzed using descriptive statistics, Pearson correlations, and structural equation modeling with the WLSMV estimator. All identifying information was removed prior to deposit.Datasethttps://doi.org/10.5281/zenodo.22307256W7208784007enZenodo (CERN European Organization for Nuclear Research)2025-08-18 |
| spellingShingle | attitudes toward AI student self-regulation perseverance grit perceived stress university students Peruvian students coping perceived control autonomy consistency of interest Grit, Self-Efficacy, and Motivation Innovative Teaching and Learning Methods Student Stress and Coping Josué Edison Turpo Chaparro Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students |
| title | Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students |
| title_full | Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students |
| title_fullStr | Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students |
| title_full_unstemmed | Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students |
| title_short | Dataset for "Attitudes towards artificial intelligence, perseverance, and stress as predictors of self-regulated learning in Peruvian university students |
| title_sort | dataset for attitudes towards artificial intelligence perseverance and stress as predictors of self regulated learning in peruvian university students |
| topic | attitudes toward AI student self-regulation perseverance grit perceived stress university students Peruvian students coping perceived control autonomy consistency of interest Grit, Self-Efficacy, and Motivation Innovative Teaching and Learning Methods Student Stress and Coping |
| topic_facet | attitudes toward AI student self-regulation perseverance grit perceived stress university students Peruvian students coping perceived control autonomy consistency of interest Grit, Self-Efficacy, and Motivation Innovative Teaching and Learning Methods Student Stress and Coping |
| url | https://doi.org/10.5281/zenodo.22307256 |
| work_keys_str_mv | AT josueedisonturpochaparro datasetforattitudestowardsartificialintelligenceperseveranceandstressaspredictorsofselfregulatedlearninginperuvianuniversitystudents |