Guy Trainin – författare

This book offers a radically creative reimagining of the doctoral dissertation as a work of contemporary art. Part field guide, part conceptual art project, and part methodological roadmap, it explores what counts as knowledge, how unconventional work becomes recognizable as rigorous research, and how artists can work within academic institutions without sacrificing their own ways of knowing.Inspired by William Pinar's method of currere, the authors document how they navigated institutional expectations, committee politics, and the personal transformation required to bring an innovative dissertation to life. The book introduces practical tools for documenting artistic inquiry, making creative decisions visible, connecting artworks to research claims, and translating unconventional work into forms that academic audiences can recognize and evaluate. Advisor field notes provide a parallel perspective, showing how committees can support originality while maintaining rigor and accountability. It also addresses AI, authorship, and distributed creative labor as part of contemporary research practice. The result is a practical guide for graduate students and advisors seeking research forms that can survive review, remain ethically intact, and still feel like the work they set out to make.An essential resource for graduate students, advisors, and researchers interested in arts-based research, practice-based inquiry, contemporary art, and curriculum theory.

This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustaina “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.

This is a book about how humans learn. Our focus is on classroom learning although the principles are, as the name of this book indicates, universal. We are concerned with learning from pre-school to post-graduate. We are concerned with most bu- ness, industrial and military training. We do not address how infants learn how to speak or walk, or how grown-ups improve their tennis swing. We do address all learning described by the word “thought”, as well as anything we might try to teach, or instruct in formal educational settings. In education, the words theory and model imply conjecture. In science, these same words imply something that is a testable explanation of phenomena able to predict outcomes of experiments. This book presents a model of learning that the authors offer in the sense of scientists rather than educators. Conjecture implies that information is incomplete, and so it surely is with human learning. On the other hand, we assert that more than enough is known to sustaina “scienti?c” model of learning. This book is not a review of the literature. Instead, it is a synthesis. Scholars and many teachers likely have heard much if not most or even all of the information we use to develop the uni?ed learning model. What you have not read before is a model putting the information together in just this way; this is the ?rst one.