000			02046nam a2200205 4500
005			20260421114952.0
020			_a9781647255848 (hbk.)
041			_aeng
082			_223 _a371.260285
084			_2Colon Classification
100			_aLutz, Grant _98782
245			_aData analytics approaches in educational systems / _cGrant Lutz.
260			_aNew York : _bNY Research press, _c2025.
300			_a241p. : _bill. ;
505			_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 .
520			_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.
650			_aEducation _vData Processing _913479
650			_aEducational statistics _913481
942			_2ddc _cREF
999			_c755511 _d755511