Why Don't Students Like School?

Citation

Willingham, D. T. (2021). Why Don't Students Like School? A Cognitive Scientist Answers Questions About How the Mind Works and What It Means for the Classroom (2nd ed.). Jossey-Bass.

Chapter Summary

The second edition runs to about 320 pages: an introduction, ten chapters, a conclusion, a glossary, notes and an index. Each chapter is framed as a question a teacher might ask, opens with a short answer and a single "cognitive principle", and closes with implications for the classroom, a further-reading list split into less and more technical items, and discussion questions. The introduction explains that the book began as a list of nine principles chosen because they hold in the classroom as well as in the laboratory, have a large body of evidence behind them, make a real difference to learning, and suggest applications teachers may not already know. The second edition adds a tenth chapter, on technology.

Chapter 1: Why Don't Students Like School?

The opening chapter argues that the mind is built to avoid thinking: thinking is slow, effortful and uncertain, so people rely on memory wherever they can. People still enjoy thinking when it succeeds, which means curiosity lasts only for problems that seem neither too easy nor too hard. A simple model of the mind (environment, working memory, long-term memory) is introduced and used through the rest of the book. Its classroom implications include building real problems into lessons, respecting the limits of working memory, developing the question before giving the answer, and keeping a diary of how difficult problems turned out to be.

Chapter 2: How Can I Teach Students the Skills They Need When Standardized Tests Require Only Facts?

The chapter argues that background knowledge is needed for the skills teachers value most. Reviewers summarise its case as factual knowledge preceding skill: knowledge supports reading comprehension and critical thinking, and the more one knows, the easier it is to learn more. The index places chunking and leisure reading in this chapter.

Chapter 3: Why Do Students Remember Everything That's on Television and Forget Everything I Say?

This is the chapter on memory and the source of the book's best-known phrase, that memory is the residue of thought: students remember what a lesson makes them think about. The implications are to plan lessons around what students will think about, to borrow the structure of stories (the index lists causality in stories), and to use mnemonics for material that has little meaning of its own.

Chapter 4: Why Is It So Hard for Students to Understand Abstract Ideas?

New ideas are understood through ideas already known, so abstract principles are grasped through examples, comparisons and analogies. The chapter also explains why knowledge learned in one setting so often fails to transfer to another.

Chapter 5: Is Drilling Worth It?

The chapter makes the case that proficiency requires practice. Practice makes basic processes automatic, freeing working memory for harder thinking, and it makes learning last. The index lists spacing out practice and deciding what to practise among its topics.

Chapter 6: What's the Secret to Getting Students to Think Like Real Scientists, Mathematicians, and Historians?

Experts think differently from novices because of years of accumulated knowledge and practice. The chapter concludes that students should aim at deep understanding rather than at imitating what experts do; the introduction states the point bluntly, that teachers should not try to make students think like real scientists.

Chapter 7: How Should I Adjust My Teaching for Different Types of Learners?

Students differ in ability, but the chapter reports no consistent evidence that they differ in how they learn. It examines learning styles and Howard Gardner's multiple intelligences and argues that the content of a lesson, rather than students' supposed styles, should decide how it is taught.

Chapter 8: How Can I Help Slow Learners?

Drawing on research that the second edition brings up to date, the chapter argues that intelligence can be changed by sustained work and owes more to environment than to genes; the index lists the Flynn effect among its evidence. It recommends focusing on the process of learning rather than on ability, treating failure as part of learning and presenting hard work as the route to proficiency. A reviewer notes that it also reports the effects of growth-mindset interventions as small.

Chapter 9: How Can I Know Whether New Technology Will Improve Student Learning?

The new chapter argues that technology has not changed how minds work and that its effects on learning are often unexpected. The index shows it covering "digital natives", laptops in class, e-books, daily screen time and what it displaces (including leisure reading), video games and the digital divide. The advice is to look for evidence before adopting a tool and to consider limiting screen time.

Chapter 10: What About My Mind?

The last chapter turns to the teacher. Teaching is a cognitive skill and improves through deliberate practice: working on individual subskills, getting and giving feedback with colleagues, watching recordings of one's own teaching and joining discussion groups with other teachers.

Conclusion

The conclusion gathers the principles of the ten chapters into a summary table, followed by a glossary of the technical terms used.

Key Concepts

Chapters 1–3: Thinking, knowledge and memory

• Working memory: the limited space in which information from the environment and from long-term memory is combined; overloading it makes thinking hard.
• Long-term memory: the store of facts and procedures that makes most everyday problems routine.
• Factual knowledge precedes skill: skills such as critical thinking depend on knowledge of the subject being thought about.
• Memory is the residue of thought: what students think about during a lesson is what they remember.

Chapters 4–6: Understanding, practice and expertise

• Analogies and examples: the route from known ideas to abstract new ones.
• Transfer: applying knowledge to a new problem with the same deep structure but a different surface.
• Automaticity: processes practised until they need little working memory.
• Experts versus novices: experts' different way of thinking rests on knowledge and practice that students do not yet have.

Chapters 7–10: Differences, technology and teachers

• Learning styles and multiple intelligences: popular theories of learner types that the book examines and rejects as a basis for teaching.
• Malleable intelligence: intelligence as substantially shaped by environment and effort.
• Evidence for technology: judging a new tool by what research shows rather than by promises.
• Deliberate practice: focused, feedback-driven work on specific subskills, applied to teachers.

Critical Analysis

Strengths

• Clear criteria for what goes in. The introduction states why each principle was chosen: it holds across settings, rests on a large body of data, has a big effect and suggests applications teachers may not know. The result is a disciplined scope.
• Built for teachers. Questions drawn from classroom life, a short answer and a single principle at the start of each chapter, and an "Implications for the Classroom" section at the end make the book easy to use.
• Material for study and discussion. Each chapter's further reading separates less technical from more technical sources, and the discussion questions added in this edition suit a seminar or teacher reading group, a use the Learning and the Brain review recommends.
• Updated where it matters. In an interview with the Fordham Institute, Willingham explained that the second edition revises the research on intelligence and adds the technology chapter, discussion questions and a glossary, while the original principles stand.

Limitations

• A small, chosen set of principles. By design the book covers only ideas Willingham considers firmly established. It is not a survey of educational psychology: development, motivation theories and assessment, for example, are not treated as topics in their own right.
• Written for practising teachers. The examples and implications assume a classroom, often at school level. University students reading it for a course will need to translate the advice to their own setting.
• Popular style. Evidence is summarised in the text and pointed to in notes and reading lists rather than presented study by study, so readers who want to judge the research must follow those references.

Where It Fits in the Course

This is the most direct introduction in the course list to what cognitive psychology says about thinking, memory and practice. Ormrod, Anderman and Anderman's Educational Psychology: Developing Learners is the broad textbook, covering development, motivation, learner differences and assessment; Willingham can be read first as a short, argued preview of its cognition chapters. Schunk's Learning Theories compares behaviourist, cognitive, social-cognitive and constructivist accounts, which places Willingham's cognitive approach within the wider field.

The two National Research Council and National Academies reports, How People Learn and How People Learn II, cover similar territory as consensus syntheses of the research; Willingham's first chapter recommends the second as an overview while noting that it sometimes strays into peripheral topics. Dweck's Mindset makes a natural pairing with Chapter 8, which treats growth mindset more cautiously. Piaget's The Child's Conception of the World is a classic study from a different, developmental tradition, and the Handbook of Educational Psychology is the research reference for following any chapter's topic further.

How to Use This Book

The book needs no background in psychology. It suits trainee and practising teachers, students taking a first course in educational psychology, and anyone wanting the cognitive science behind current debates about knowledge, practice and learning styles.

• Core: Chapters 1–5. Chapter 1's model of the mind is used everywhere else, and Chapters 2–5 carry the central principles on knowledge, memory, understanding and practice.
• Then: Chapters 6–8, which apply those principles to expertise, learner differences and intelligence. Read Chapter 8 together with Dweck if both are on the course.
• As needed: Chapter 9 on technology and Chapter 10 on teachers' own development; the conclusion's summary table works as a revision sheet.

While reading, test each chapter's implications against a lesson you have taught or observed, and use the discussion questions for a seminar or study group. Follow a "more technical" reading for each core chapter to see the research behind it.