Further Reading — Chapter 1

Your Brain Is Not Broken: Why Smart People Struggle and What to Do About It

This annotated bibliography provides resources for deeper exploration of the concepts introduced in Chapter 1. Sources are organized by tier following this textbook's citation honesty system.

Tier 1 — Verified Sources

These are well-known, widely available works that the authors are confident exist with the details provided.

Books

Brown, P. C., Roediger, H. L., III, & McDaniel, M. A. (2014). Make It Stick: The Science of Successful Learning. Harvard University Press.

The single best trade book on the science of learning. Written by two cognitive psychologists (Roediger and McDaniel) who have spent decades researching memory and a storyteller (Brown) who makes their findings accessible. Covers retrieval practice, spacing, interleaving, and the illusions of competence discussed in this chapter. If you read one book alongside this textbook, make it this one. It's the research backbone for much of what we teach.

Dweck, C. S. (2006). Mindset: The New Psychology of Success. Random House.

The foundational popular science book on growth mindset and fixed mindset. Dweck presents decades of her research on how beliefs about intelligence affect motivation, persistence, and achievement. Essential reading for the growth mindset concepts in this chapter, though readers should also consult the more recent meta-analyses and replications discussed below for the full scientific picture. Dweck has also written updated reflections on how the concept has been misapplied, which are worth seeking out.

Oakley, B. (2014). A Mind for Numbers: How to Excel at Math and Science (Even If You Flunked Algebra). TarcherPerigee.

Despite the math-focused title, this book is an excellent general guide to learning science, written in the accessible, warm style that inspired the tone of this textbook. Oakley covers focused vs. diffuse thinking, chunking, memory, procrastination, and test-taking. The companion MOOC, "Learning How to Learn" (Coursera), is one of the most-enrolled online courses in history and covers similar material in video format.

Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How Learning Works: Seven Research-Based Principles for Smart Teaching. Jossey-Bass.

Written primarily for educators, this book synthesizes decades of learning research into seven principles. It's more academic than Make It Stick but provides deeper engagement with the research base. The principles on prior knowledge, motivation, and self-directed learning are particularly relevant to this chapter's discussion of metacognition.

McGuire, S. Y. (2015). Teach Students How to Learn: Strategies You Can Incorporate into Any Course to Improve Student Metacognition, Class Focus, and Academic Performance. Stylus Publishing.

McGuire's work focuses on teaching metacognition explicitly to college students — exactly what this textbook does. Her approach, centered on Bloom's Taxonomy and metacognitive awareness, has produced impressive results in STEM courses, particularly with students from underrepresented backgrounds. This book is aimed at instructors, but the strategies translate directly to self-directed learners.

Ericsson, A., & Pool, R. (2016). Peak: Secrets from the New Science of Expertise. Houghton Mifflin Harcourt.

Ericsson's research on deliberate practice and expertise development undergirds much of what we'll discuss in Part V of this textbook (Chapters 25-28). Relevant to Chapter 1's discussion of growth mindset: Ericsson's decades of expertise research powerfully support the idea that sustained, strategic practice — not innate talent — is the primary driver of high performance across virtually every domain studied.

Research Articles and Reports

Dunning, D., & Kruger, J. (1999). "Unskilled and Unaware of It: How Difficulties in Recognizing One's Own Incompetence Lead to Inflated Self-Assessments." Journal of Personality and Social Psychology, 77(6), 1121-1134.

The original Dunning-Kruger paper. A landmark in cognitive psychology, this study demonstrated that low-performing individuals in domains like logical reasoning, grammar, and humor systematically overestimated their performance, while high performers slightly underestimated theirs. The paper is readable and well-structured, and worth looking at for anyone interested in the primary source behind this widely discussed concept.

Yeager, D. S., et al. (2019). "A national experiment reveals where a growth mindset improves achievement." Nature, 573, 364-369.

One of the largest and most rigorous tests of growth mindset interventions, conducted with over 12,000 ninth-grade students across the United States. Found that a brief growth mindset intervention improved grades among lower-achieving students and in schools with supportive norms. Important because it represents a large-scale replication of growth mindset effects with pre-registered methods and a nationally representative sample.

Tier 2 — Attributed Sources

These are findings and claims attributed to specific researchers or research traditions. The general claims are well-established in the literature, but specific publication details beyond what is provided have not been independently verified for this bibliography.

Research by John Flavell on metacognition.

Flavell is widely credited as one of the earliest researchers to formally define and study metacognition, beginning in the 1970s. His work on "metacognitive knowledge" and "metacognitive experience" laid the groundwork for the three-component model of metacognition (knowledge, monitoring, control) discussed in this chapter. His theoretical frameworks remain foundational in educational psychology.

The Seattle Longitudinal Study (K. Warner Schaie and colleagues).

One of the most comprehensive longitudinal studies of adult cognitive development, spanning over five decades. Tracked cognitive abilities across adulthood and found that most abilities remain stable through the 50s and 60s, with meaningful declines appearing primarily after age 70. Individual variation is enormous. This research directly informs the discussion of Marcus Thompson's learning capacity in Case Study 2.

Research by Timothy Salthouse on cognitive aging.

Salthouse's extensive body of work on processing speed, working memory, and cognitive decline across the lifespan has clarified which specific abilities decline with age and which remain stable or improve. His work shows that while processing speed peaks early, knowledge-based and strategy-based abilities remain robust well into later adulthood — supporting the chapter's argument that adult learners bring substantial advantages.

Meta-analyses on study strategy effectiveness (Dunlosky et al.).

Research led by John Dunlosky and colleagues has systematically evaluated the effectiveness of common study strategies. Their work is widely cited for demonstrating that practice testing and distributed (spaced) practice are among the most effective strategies, while highlighting and rereading are among the least effective. These findings are central to this chapter's argument about illusions of competence.

Research by Carol Dweck and colleagues on implicit theories of intelligence.

Beyond her 2006 book, Dweck's research program spanning several decades has explored how children's and adults' beliefs about intelligence (entity theory vs. incremental theory) shape their responses to challenge, failure, and effort. More recent work by Dweck and others has addressed critiques of the growth mindset literature, acknowledging limitations in effect sizes while defending the core finding that beliefs influence behavior.

Tier 3 — Illustrative Sources

These are constructed examples, composite cases, or pedagogical resources created for this textbook.

Mia Chen — composite character. Based on common patterns in the high school-to-college transition literature. Illustrates how recognition-based study strategies that succeed in high school fail when college-level learning demands deeper retrieval and application.

Marcus Thompson — composite character. Based on common patterns in adult learner and career-changer research. Illustrates how metacognitive skills developed in one domain transfer to new learning contexts, and how fixed mindset beliefs about age can be a barrier to action.

Recommended Next Steps

If you want to go deeper on Chapter 1's topics before moving to Chapter 2, here's a prioritized reading path:

1. Highest priority: Read the first three chapters of Make It Stick by Brown, Roediger, & McDaniel. This will give you a vivid, research-grounded preview of many concepts we'll cover in Chapters 2-7.

2. If you're interested in growth mindset: Read Chapters 1-3 of Mindset by Dweck, then search for "Carol Dweck growth mindset revisited" to find her more recent reflections on how the concept has been oversimplified and misapplied. Holding both the original work and the self-critique together gives you a more complete and honest picture.

3. If you're an adult learner or career changer: Read A Mind for Numbers by Oakley. Despite the title, it's not about math — it's about how to learn anything, and Oakley writes with particular warmth toward learners who feel intimidated by new subjects.

4. If you want the research base: Look up the Dunlosky et al. meta-analysis on study strategies. It's the most comprehensive systematic evaluation of which study techniques work and which don't, and it's the empirical foundation for much of what this textbook teaches.

End of Further Reading for Chapter 1.