01970nam a2200181   450000500170000002000260001704100090004308200190005208400250007110000170009624500700011326000450018330000220022850502030025052012740045365000330172765000280176020260421114952.0  a9781647255848 (hbk.)   aeng   223a371.260285  2Colon Classification  aLutz, Grant   aData analytics approaches in educational systems / cGrant Lutz.   aNew York : bNY Research press, c2025.   a241p. : bill. ;   a1. Educational data collection : an overview -- 2. Management and ethics of educational data -- 3. Learner generated data : a comprehensive examination -- 4. Critical analysis of educational data .   aData analytics approaches in educational systems involve using data to improve teaching and learning outcomes. These approaches collect and analyze information from students, teachers and educational activities to gain insights and make informed decisions. Data analytics can help identify struggling students early, personalize learning experiences, and assess the effectiveness of teaching methods. It also aids in predicting student performance and recommending interventions to support their progress. Educational institutions use tools and techniques like statistical analysis, machine learning and data visualization to interpret data and inform policy-making. By leveraging data analytics, schools can enhance educational quality, address learning gaps and foster continuous improvement in teaching practices. Overall, data analytics plays a crucial role in shaping modern education by harnessing data to optimize educational strategies and support student success. This book provides comprehensive insights into the field of data analytics. It is compiled in such a manner that it will provide in-depth knowledge about the theory and practice of data analytics in educational systems. The book is appropriate for those seeking detailed information in this area.  aEducation vData Processing   aEducational statistics