Researcher in higher education, with a focus on educational technology, psychometrics, and digital learning environments.
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Psychometric Instrument Development: Design, validation, and analysis of scales for measuring technostress, digital safety, academic integrity, student affect, and learning environments, using Aiken’s V, EFA/CFA, and reliability metrics.
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Technology and Digital Competence in Higher Education: Study of students’ and educators’ experiences with learning objects, online platforms, AI tools (e.g., ChatGPT), and digital resource integration, with emphasis on self-efficacy and ethical challenges.
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Evidence-Based Teaching and Learning Analytics: Evaluation of pedagogical strategies, authentic assessment, and academic performance through quantitative methods, focusing on data-driven decisions for improving learning in STEM fields.
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Machine Learning for Educational and Productivity Modeling: Application of neural networks and deep learning techniques for estimating production frontiers and modeling academic or institutional performance.
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