Rodney D. Myers – författare

Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

Innovative Learning Analytics for Evaluating Instruction covers the application of a forward-thinking research methodology that uses big data to evaluate the effectiveness of online instruction. Analysis of Patterns in Time (APT) is a practical analytic approach that finds meaningful patterns in massive data sets, capturing temporal maps of students’ learning journeys by combining qualitative and quantitative methods. Offering conceptual and research overviews, design principles, historical examples, and more, this book demonstrates how APT can yield strong, easily generalizable empirical evidence through big data; help students succeed in their learning journeys; and document the extraordinary effectiveness of First Principles of Instruction. It is an ideal resource for faculty and professionals in instructional design, learning engineering, online learning, program evaluation, and research methods.

Instructional-Design Theories and Models, Volume IV provides a research-based description of the current state of instructional theory for the learner-centered paradigm of education, as well as a clear indication of how different theories and models interrelate. Significant changes have occurred in learning and instructional theory since the publication of Volume III, including advances in brain-based learning, learning sciences, information technologies, internet-based communication, a concern for customizing the student experience to maximize effectiveness, and scaling instructional environments to maximize efficiency.

In order to complement the themes of Volume I (commonality and complementarity among theories of instruction), Volume II (diversity of theories) and Volume III (building a common knowledge base), the theme of Volume IV is shifting the paradigm of instruction from teacher-centered to learner-centered and integrating design theories of instruction, assessment, and curriculum. Chapters in Volume IV are collected into three primary sections: a comprehensive view of the learner-centered paradigm of education and training, elaborations on parts of that view for a variety of K-12 and higher education settings, and theories that address ways to move toward the learner-centered paradigm within the teacher-centered paradigm.

Instructional-Design Theories and Models, Volume IV is an essential book for anyone interested in exploring more powerful ways of fostering human learning and development and thinking creatively about ways to best meet the needs of learners in all kinds of learning contexts.