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Glyka Angel Raganas Intelligence tests measure cognitive abilities like reasoning and problem-solving, suitable for assessing general potential or identifying learning disabilities, but inappropriate for evaluating specific knowledge or predicting...More

Embedded learning analytics offer potential for personalized learning, real-time feedback, and data-driven insights, improving both student and teacher experiences. However, successful implementation faces challenges in navigating complex...More

Effective education demands continuous evaluation using diverse data (quantitative, qualitative, student & teacher feedback) to inform improvements in curriculum, teaching, and resources, ensuring accountability and responsiveness to learners' needs.

Digital assessment offers personalized learning, real-time feedback, and data-driven insights, but also risks over-reliance on technology, data privacy breaches, exacerbating the digital divide, and perpetuating algorithmic bias. Successful...More

Different assessments reflect different social assumptions, impacting learners positively and negatively. Standardized tests assume universal standards, potentially disadvantaging marginalized groups despite offering large-scale comparisons...More

Standardized tests are at their best when used as one piece of a larger assessment puzzle, providing a consistent, objective measure of student achievement across a large population. Their strengths lie in their ability to compare student...More

Educational data mining (EDM) offers personalized learning and improved teaching by revealing learning patterns in student data. However, successful implementation requires addressing data privacy, ensuring data quality, utilizing technical...More