{"product_id":"innovative-learning-analytics-for-evaluating-instruction-a-big-data-roadmap-to-effective-online-learning","title":"Innovative Learning Analytics for Evaluating Instruction: A Big Data Roadmap to Effective Online Learning","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eInnovative Learning Analytics for Evaluating Instruction uses APT to evaluate the effectiveness of online instruction, providing conceptual and research overviews, design principles, historical examples, and practical applications. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 132 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 20 July 2021\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eInnovative Learning Analytics for Evaluating Instruction delves into the utilization of a forward-thinking research methodology that harnesses the power of big data to assess the efficacy of online education. Analysis of Patterns in Time (APT) emerges as a practical analytical approach, adept at uncovering meaningful patterns within vast data sets, thereby creating temporal maps that depict the learning journeys of students. By seamlessly integrating qualitative and quantitative methods, APT captures intricate details of student engagement, enabling the creation of comprehensive snapshots of their educational experiences. This comprehensive book offers a comprehensive overview, encompassing conceptual insights, research foundations, historical examples, and practical applications. It vividly demonstrates how APT can generate robust, easily generalizable empirical evidence through the analysis of big data; foster student success in their learning endeavors; and document the remarkable effectiveness of First Principles of Instruction. Serving as an invaluable resource for faculty and professionals engaged in instructional design, learning engineering, online learning, program evaluation, and research methodologies, this book empowers educators and researchers to navigate the complexities of modern education and make informed decisions that enhance learning outcomes.\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 314g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 143 x 224 x 16 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781032000183\\n                            \\n                          \u003c\/p\u003e","brand":"Theodore W. Frick,Rodney D. Myers,Cesur Dagli,Andrew F. Barrett","offers":[{"title":"Hardback","offer_id":44104562180346,"sku":"9781032000183","price":52.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/f5044c2fa006e652607d5982d69c2948.jpg?v=1634877610","url":"https:\/\/shulphink.com\/products\/innovative-learning-analytics-for-evaluating-instruction-a-big-data-roadmap-to-effective-online-learning","provider":"Shulph Ink","version":"1.0","type":"link"}