دانلود کتاب تجزیه و تحلیل داده های آموزشی برای معلمان و مدیران مدارس

Educational Data Analytics (EDA) have been attributed with significant benefits for enhancing on-demand personalised educational support of individual learners as well as reflective course (re)design for achieving more authentic teaching, learning and assessment experiences integrated into real work-oriented tasks. As a result, most Course Management Systems are now incorporating Educational Data Analytics tools. However, these tools are still not widely used because of the low Educational Data Literacy (EDL) competences of the education professionals that could be using them (i.e. K12 teachers adopting the flipped classroom model in their teaching and school leaders leveraging educational data to support decision-making). Furthermore, online learning environments and education data-driven practice and assessment raise challenges such as ethical issues and implications, especially in terms of privacy, security of data and informed consent that should be addressed via transparent and well-defined ethical policies and codes of practices.
Particularly nowadays, as the Covid-19 pandemic continues to unfold around the world, emergency remote teaching has become the new reality for school educa¬tion around the world. Subsequently, educational data, which is the rich data foot¬print that students generate through their interactions in digital learning environments, has increased exponentially. This unprecedented crisis has brought to the forefront the urgent demand for all education professionals, including schoolteachers and leaders, to reinvent their teaching and learning environments. Educational Data Analytics (EDA) has been identified as a key enabler to seize the opportunities – through the use of educational data generated during teaching and learning (includ¬ing assessment) – for better supporting learners in online and blended courses. To this end, the “upskilling imperative” of comprehensive EDL competences has been recognised as an immediate need to support creative, flexible and inclusive educa¬tion and training in the long term, highlighting the importance for educators to ground decisions based on data and evidence aiming to boost the effectiveness and the efficiency of the education systems, even beyond the periods of emergency education such as public health crises or natural disasters.
This book aims to support the development of core competences for Educational Data Analytics of online and blended teaching and learning.