New US government requirements state that federally funded grants and school programs must prove that they are based on scientifically proved improvements in teaching and learning. All new grants must show they are based on scientifically sound research to be funded, and budgets to schools must likewise show that they are based on scientifically sound research. However, the movement in education over the past several years has been toward qualitative rather than quantitative measures. The new legislation comes at a time when researchers are ill trained to measure results or even to frame questions in an empirical way, and when school administrators and teachers are no longer remember or were never trained to prove statistically that their programs are effective.Experimental Methods for Evaluating Educational Interventions is a tutorial on what it means to frame a question in an empirical manner, how one needs to test that a method works, what statistics one uses to measure effectiveness, and how to document these findings in a way so as to be compliant with new empirically based requirements. The book is simplistic enough to be accessible to those teaching and administrative educational professionals long out of schooling, but comprehensive and sophisticated enough to be of use to researchers who know experimental design and statistics but don't know how to use what they know to write acceptable grant proposals or to get governmental funding for their programs.* Provides an overview to interpreting empirical data in education* Reviews data analysis techniques: use and interpretation* Discusses research on learning, instruction, and curriculum* Explores importance of showing progress as well as cause and effect* Identifies obstacles to applying research into practice*Examines policy development for states, nations, and countries

Invaluable for all educators and teachers needing to write acceptable grant proposals or to obtain governmental funding for their programs.

Introduction to design and analysis for educational intervention -- The nuts and bolts of single-case design -- The classic A-B-A-B design -- Complex single-case designs -- Visual analysis and interpretation strategies for single-case design -- Advanced empirical analyses of single-case data in practice and research -- Brief experimental analysis -- Single-case design for research purposes -- A response-to-intervention model incorporating experimental design.

The central purpose of this book is to examine critically the claim that playing games can provide learning that is deep, sustained and transferable to the "real world."

Incorporates several innovative and increasingly popular subject areas, including the gamification of education, assessment, and STEM subjects Combines research and authorship from both civilian and military worlds as well as interdisciplinary fields Rigorously defines and analyzes the criteria of selecting, designing, implementing, and evaluating emerging educational technologies while offering implications for future use

In education today, technology alone doesn't always lead to immediate success for students or institutions. In order to gauge the efficacy of educational technology, we need ways to measure the efficacy of educational practices in their own right. Through a better understanding of how learning takes place, we may work toward establishing best practices for students, educators, and institutions. These goals can be accomplished with learning analytics. Learning Analytics: From Research to Practice updates this emerging field with the latest in theories, findings, strategies, and tools from across education and technological disciplines. Guiding readers through preparation, design, and examples of implementation, this pioneering reference clarifies LA methods as not mere data collection but sophisticated, systems-based analysis with practical applicability inside the classroom and in the larger world. Case studies illustrate applications of LA throughout academic settings (e.g., intervention, advisement, technology design), and their resulting impact on pedagogy and learning. The goal is to bring greater efficiency and deeper engagement to individual students, learning communities, and educators, as chapters show diverse uses of learning analytics to: Enhance student and faculty performance. Improve student understanding of course material. Assess and attend to the needs of struggling learners. Improve accuracy in grading. Allow instructors to assess and develop their own strengths. Encourage more efficient use of resources at the institutional level. Researchers and practitioners in educational technology, IT, and the learning sciences will hail the information in Learning Analytics: From Research to Practice as a springboard to new levels of student, instructor, and institutional success.

The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide (d) ad hoc reviews for 362 journals. Their enormous footprint on real data analysis is showcased for professors, researchers, educators, administrators, and graduate students in the second text in the AERA/SIG ES Quantitative Methods series.