Order affects the results you get: Different orders of presenting material can lead to qualitatively and quantitatively different learning outcomes. These differences occur in both natural and artificial learning systems.In Order to Learnshows how order effects are crucial in human learning, instructional design, machine learning, and both symbolic and connectionist cognitive models. Each chapter explains a different aspect of how the order in which material is presented can strongly influence what is learned by humans and theoretical models of learning in a variety of domains. In addition to data, models are provided that predict and describe order effects and analyze how and when they will occur. The introductory and concluding chapters compile suggestions for improving learning through better sequences of learning materials, including how to take advantage of order effects that encourage learning and how to avoid order effects that discourage learning. Each chapter also highlights questions that may inspire further research. Taken together, these chapters show how order effects in different areas can and do inform each other.In Order to Learnwill be of interest to researchers and students in cognitive science, education, machine learning.
Preface. Foreword. Section 1. Introductory Chapters. 1. Call to order: How and why sequences influence learning 2. Order is the first step to mastery 3. Machine learning: The necessity of order (is order in order?) 4. Rules of Order: Process models of human learning 5. Order out of chaos: Order in connectionist models 6. Putting things in order: Collecting and analyzing data on learning Section 2. Fundamental explanations of order: Example models. 7. An example order for Cognitive skill acquisition 8. An ordered Chaos: Sequences and mental structures 9. Learning in order: Steps of acquiring the concept of the day/night cycle 10. Timing is in order: Modeling orderlSd