TECHNOLOGY FOR DIAGNOSING STUDENTS' COMPETENCE IN WORKING WITH INFORMATION BASED ON ELECTRONIC EDUCATIONAL RESOURCES
Keywords:
Information literacy, Digital education, Educational technology, Diagnostic tools, Electronic resources, Student competence, Digital literacy assessment, Adaptive learning, Artificial intelligence in education, Data analytics, Personalized learning, Information retrieval skills, Critical thinking assessment, Ethical information use, Educational assessment technologyAbstract
This abstract explores the transformative role of technology in diagnosing and enhancing students' competence in navigating electronic educational resources, with a specific focus on information literacy. As digital learning environments become integral to education, the assessment of students' proficiency in working with information demands innovative approaches. Advanced technologies, including artificial intelligence and data analytics, are pivotal in developing diagnostic tools that dynamically evaluate students' competencies.
These technology-driven assessments move beyond conventional methods, offering adaptive insights into students' information retrieval skills, critical thinking abilities, and ethical use of digital resources. The abstract emphasizes the practical implications for educators, illustrating how these diagnostic technologies inform tailored instructional strategies, curriculum adjustments, and targeted interventions. Moreover, ethical considerations, such as data privacy and algorithmic transparency, are discussed to ensure responsible implementation in educational settings.
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