Chapter 38 Quiz: What to Learn Next
Question 1 The multi-armed bandit problem is used in this chapter to illustrate what concept?
A) How to memorize large amounts of information efficiently B) The explore/exploit tradeoff — how to balance trying new options against focusing on the best known option C) The difficulty of choosing between competing learning resources D) The random nature of which skills become valuable in a career
Question 2 According to the mathematically optimal solution to the explore/exploit problem, what is the correct strategy over time?
A) Always explore, because you might find something better B) Always exploit, because consistency produces expertise C) More exploration early (when you know little) and more exploitation later, but never fully stopping exploration D) Alternate between pure exploration and pure exploitation in fixed intervals
Question 3 The chapter's learning portfolio framework suggests what approximate allocation of learning time?
A) 80% core / 10% adjacent / 10% exploratory B) 60-70% core / 20-30% adjacent / 10-15% exploratory C) 50% core / 30% adjacent / 20% exploratory D) 90% core / 10% exploratory (adjacent is unnecessary)
Question 4 Which of the following is described as a RED FLAG in evaluating learning resources?
A) Built-in retrieval practice (self-tests, exercises, practice problems) B) Promises of effortless, fast learning without struggle C) Answer keys that allow you to evaluate whether your understanding is correct D) A course designed for multiple passes with spaced review
Question 5 When building a 1-year learning roadmap, the chapter emphasizes that the learning goal must be what?
A) Comprehensive enough to cover the entire domain B) Ambitious enough to require significant sacrifice C) Specific and observable — evaluable by behavior or performance, not by feeling D) Approved by an expert in the domain before beginning
Question 6 The chapter says that "exploratory" learning — investing time in domains completely unrelated to your core — serves what primary purpose?
A) Career insurance in case your core domain becomes obsolete B) Cognitive diversity — different ways of thinking that produce unexpected connections and creative breakthroughs C) Demonstrating broad-mindedness to employers and colleagues D) Maintaining motivation when core learning becomes repetitive
Question 7 According to the chapter, what is the defining characteristic of a high-quality learning resource with respect to retrieval?
A) It is entertaining enough to maintain long-term engagement B) It is comprehensive, covering every subtopic in the domain C) It prompts you to produce output — practice, exercises, self-tests — rather than only consume input D) It is created by recognized experts with academic credentials
Question 8 The chapter discusses T-shaped expertise. What are the two dimensions of a T-shape?
A) Technical skills (the vertical stroke) and soft skills (the horizontal stroke) B) Deep expertise in one area (the vertical stroke) and broad knowledge across several related areas (the horizontal stroke) C) Current skills (the vertical stroke) and aspirational skills (the horizontal stroke) D) Professional knowledge (the vertical stroke) and personal interests (the horizontal stroke)
Question 9 What does the chapter identify as the value of implementation intentions in building a learning roadmap?
A) Specifying when, where, and how you'll do something dramatically increases follow-through compared to general intentions B) Written plans are more motivating than mental commitments C) Implementation intentions allow you to hold yourself legally accountable D) Planning reduces the amount of willpower required to begin learning
Question 10 The final message of the chapter states: "You are not your learning history." What specific argument supports this claim?
A) Neuroscience shows that the brain can be completely reprogrammed at any age with sufficient effort B) Experiences of struggling in school reflect the gap between how you were taught to study and how learning actually works — not evidence about inherent capacity C) Everyone learns at the same rate if given sufficient motivation and access to resources D) Learning history only reflects past effort, not future potential
Question 11 The chapter recommends the "next action" principle for learning roadmaps. What does this mean?
A) Every learning session should produce a next session planned in advance B) Every learning goal needs a first step completable today — not this week, today — to close the gap between intention and action C) The next resource to study should be selected before completing the current one D) Each phase of the roadmap should be designed before the previous phase is complete
Question 12 According to the chapter, when is it appropriate to "go broad" (explore) rather than "go deep" (exploit)?
A) Always at the beginning of a year and never in the middle B) Only after achieving mastery in a core domain C) When you're in a new domain and need orientation before choosing where to go deep; when looking for unexpected connections; when you've been in the same domain so long that you notice yourself becoming rigid D) When resources in your core domain are unavailable or too expensive
Answer Key
1. B — The multi-armed bandit problem is the mathematical framework for the explore/exploit tradeoff: how to balance trying new options (exploration) against focusing on what's already known to be good (exploitation). The problem gives the chapter its central metaphor for personal learning allocation.
2. C — The mathematically optimal solution involves more exploration early (when little is known and information has high value) and more exploitation later (when you have a clearer picture of what's best). But some exploration never fully stops, because the environment changes and new options appear. This is why even experienced professionals maintain some exploratory learning.
3. B — The recommended framework is 60-70% core / 20-30% adjacent / 10-15% exploratory. This is a guide for intention-setting, not a rigid rule — career transitions, intensive projects, and life disruptions will alter the actual allocation. But the framework helps you notice when you've been exclusively exploiting for too long.
4. B — Promises of effortless, fast learning without struggle are a red flag. Productive difficulty is a feature of effective learning, not a bug. Any resource claiming to bypass the struggle of learning is claiming to bypass learning itself. The other options (retrieval practice, answer keys, spaced review design) are all signs of a high-quality resource.
5. C — The goal must be specific and observable — evaluable by behavior or performance, not by a feeling of understanding. "Learn Spanish" fails this test; "hold a 10-minute conversation with a native speaker about everyday topics" passes it. Specificity is what enables resource selection, milestone design, and progress measurement.
6. B — Exploratory learning's primary purpose is cognitive diversity — exposure to different ways of thinking, different problems, different aesthetics. The value is not immediate utility but the unexpected connections and creative breakthroughs that emerge from encountering genuinely different intellectual territory. The chapter's examples consistently show exploratory reading feeding back into core work in ways that couldn't have been predicted.
7. C — A high-quality resource prompts you to produce output — practice problems, exercises, self-tests, code to write, problems to solve — rather than only providing content to consume. Resources that are purely consumption-oriented are lower quality for durable learning, regardless of how well-designed their content is, because consumption doesn't produce retrieval, and retrieval is what creates durable memory.
8. B — T-shaped expertise means deep expertise in one area (the vertical stroke of the T) combined with broad knowledge across several related areas (the horizontal stroke). The depth provides core value; the breadth enables flexibility, collaboration, and cross-domain insight. Research consistently shows T-shaped expertise produces more innovative thinking and career resilience than either pure depth or pure breadth alone.
9. A — Implementation intentions research (Gollwitzer 1999 and subsequent work) shows that specifying when, where, and how you'll perform a behavior — rather than just intending to perform it — dramatically increases follow-through. A well-built learning roadmap functions as a set of implementation intentions, which is part of why it works.
10. B — The specific argument: struggling in school reflects the gap between ineffective study methods (highlighting, rereading, passive review) and how learning actually works (retrieval, spacing, elaboration). That gap has now been closed. Past struggles with ineffective methods are not evidence of inherent capacity — they're evidence of having been taught the wrong tools.
11. B — The "next action" principle holds that every learning goal needs a specific first step completable today — not this week, not "soon," today. The gap between having a plan and beginning the plan is where most plans die. A first step completable in under 30 minutes eliminates the procrastination that makes "someday" become "never."
12. C — The chapter identifies three conditions favoring breadth over depth: being in a new domain and needing orientation before you can intelligently choose where to go deep; looking for unexpected connections (breadth generates these; depth exploits them); and having been in the same domain for so long that you notice yourself becoming rigid or uncreative. Personal enrichment is also valid — following curiosity with depth emerging naturally if genuine interest sustains.