Psychometric network of the online learning strategies questionnaire in Peruvian university students
Online learning strategies refer to the methods and approaches students use to organize study activities, manage course content, and regulate participation in virtual learning environments. These strategies are relevant to educational technology because they provide measurable indicators that can in...
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| Formato: | Artículo |
| Lenguaje: | inglés |
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2026
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| author | Manuel Alejandro Concha-Huarcaya Antonio Serpa‐Barrientos Luis Alberto Sosa-Aparicio Enrique Giovanni Pérez-Flores Jacksaint Saintila |
| author_browse | Antonio Serpa‐Barrientos Enrique Giovanni Pérez-Flores Jacksaint Saintila Luis Alberto Sosa-Aparicio Manuel Alejandro Concha-Huarcaya |
| author_facet | Manuel Alejandro Concha-Huarcaya Antonio Serpa‐Barrientos Luis Alberto Sosa-Aparicio Enrique Giovanni Pérez-Flores Jacksaint Saintila |
| author_sort | Manuel Alejandro Concha-Huarcaya |
| collection | Producción científica |
| description | Online learning strategies refer to the methods and approaches students use to organize study activities, manage course content, and regulate participation in virtual learning environments. These strategies are relevant to educational technology because they provide measurable indicators that can inform instructional design, learning analytics, adaptive learning systems, and student support in online and blended courses. This study examined the psychometric properties of the online learning strategies scale (OLSS) using a psychometric network analysis approach in Peruvian university students. The sample included 520 university students (389 women = 74.8%; 131 men = 25.2%) aged 18 to 40 years. Descriptive analyses were conducted to evaluate item distributions. The psychometric network structure of the OLSS was then estimated using exploratory graph analysis with bootstrap procedures, followed by assessment of community stability and structural consistency. The results identified a four-community structure corresponding to motivation, self-control, Internet literacy, and Internet anxiety. The network showed high structural stability, with bootstrap replication values close to 1.00 for most items and high structural consistency across communities. These findings support the internal structure and reliability of the OLSS in the studied population. From an educational technology perspective, the OLSS may help instructors and instructional designers identify students requiring motivational, self-regulatory, digital literacy, or affective support in technology-enhanced learning environments. |
| format | Article |
| id | openalex:W7203830930 |
| institution | UPeU |
| language | English |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
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| spelling | openalex:W7203830930Psychometric network of the online learning strategies questionnaire in Peruvian university studentsManuel Alejandro Concha-HuarcayaAntonio Serpa‐BarrientosLuis Alberto Sosa-AparicioEnrique Giovanni Pérez-FloresJacksaint Saintilaonline learning strategiesnetwork psychometricsexploratory graph analysisscale validationuniversity studentsstudent self-regulationself-controlmotivationinternet literacyinternet anxietydigital literacyvirtual learning environmentsPeruvian university studentsOnline and Blended LearningPsychometric Methodologies and TestingOnline Learning and AnalyticsOnline learning strategies refer to the methods and approaches students use to organize study activities, manage course content, and regulate participation in virtual learning environments. These strategies are relevant to educational technology because they provide measurable indicators that can inform instructional design, learning analytics, adaptive learning systems, and student support in online and blended courses. This study examined the psychometric properties of the online learning strategies scale (OLSS) using a psychometric network analysis approach in Peruvian university students. The sample included 520 university students (389 women = 74.8%; 131 men = 25.2%) aged 18 to 40 years. Descriptive analyses were conducted to evaluate item distributions. The psychometric network structure of the OLSS was then estimated using exploratory graph analysis with bootstrap procedures, followed by assessment of community stability and structural consistency. The results identified a four-community structure corresponding to motivation, self-control, Internet literacy, and Internet anxiety. The network showed high structural stability, with bootstrap replication values close to 1.00 for most items and high structural consistency across communities. These findings support the internal structure and reliability of the OLSS in the studied population. From an educational technology perspective, the OLSS may help instructors and instructional designers identify students requiring motivational, self-regulatory, digital literacy, or affective support in technology-enhanced learning environments.Articlehttps://doi.org/10.30935/cedtech/19184https://www.cedtech.net/download/psychometric-network-of-the-online-learning-strategies-questionnaire-in-peruvian-university-students-19184.pdfW7203830930enContemporary Educational Technology1309-517X2026-08-20 |
| spellingShingle | online learning strategies network psychometrics exploratory graph analysis scale validation university students student self-regulation self-control motivation internet literacy internet anxiety digital literacy virtual learning environments Peruvian university students Online and Blended Learning Psychometric Methodologies and Testing Online Learning and Analytics Manuel Alejandro Concha-Huarcaya Antonio Serpa‐Barrientos Luis Alberto Sosa-Aparicio Enrique Giovanni Pérez-Flores Jacksaint Saintila Psychometric network of the online learning strategies questionnaire in Peruvian university students |
| title | Psychometric network of the online learning strategies questionnaire in Peruvian university students |
| title_full | Psychometric network of the online learning strategies questionnaire in Peruvian university students |
| title_fullStr | Psychometric network of the online learning strategies questionnaire in Peruvian university students |
| title_full_unstemmed | Psychometric network of the online learning strategies questionnaire in Peruvian university students |
| title_short | Psychometric network of the online learning strategies questionnaire in Peruvian university students |
| title_sort | psychometric network of the online learning strategies questionnaire in peruvian university students |
| topic | online learning strategies network psychometrics exploratory graph analysis scale validation university students student self-regulation self-control motivation internet literacy internet anxiety digital literacy virtual learning environments Peruvian university students Online and Blended Learning Psychometric Methodologies and Testing Online Learning and Analytics |
| topic_facet | online learning strategies network psychometrics exploratory graph analysis scale validation university students student self-regulation self-control motivation internet literacy internet anxiety digital literacy virtual learning environments Peruvian university students Online and Blended Learning Psychometric Methodologies and Testing Online Learning and Analytics |
| url | https://doi.org/10.30935/cedtech/19184 https://www.cedtech.net/download/psychometric-network-of-the-online-learning-strategies-questionnaire-in-peruvian-university-students-19184.pdf |
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