When I first saw Starling Software's Programmer Competency Matrix, I was struck by the parallels between its four levels and the first four of the five that Dr. Patricia Benner identified in her landmark book From Novice to Expert: Excellence and Power in Clinical Nursing Practice. Her five levels—which are grounded in a ton of empirical data—are as follows:

Stage 1: Novice
Novices have had no experience of the situations in which they are expected to perform. Novices are taught rules to help them perform. The rules are context-free and independent of specific cases; hence the rules tend to be applied universally. The rule-governed behavior typical of the novice is extremely limited and inflexible. As such, novices have no "life experience" in the application of rules.
Stage 2: Advanced Beginner
Advanced beginners are those who can demonstrate marginally acceptable performance, those who have coped with enough real situations to note, or to have pointed out to them by a mentor, the recurring meaningful situational components. These components require prior experience in actual situations for recognition. Principles to guide actions begin to be formulated. The principles are based on experience.
Stage 3: Competent
Competence develops when the practitioner begins to see his or her actions in terms of long-range goals or plans of which he or she is consciously aware. A plan establishes a perspective, and the plan is based on considerable conscious, abstract, analytic contemplation of the problem. The conscious, deliberate planning that is characteristic of this skill level helps achieve efficiency and organization. The competent practitioner lacks the speed and flexibility of a proficient one but does have a feeling of mastery and the ability to cope with and manage the many contingencies of the real world. The competent person does not yet have enough experience to recognize a situation in terms of an overall picture or in terms of which aspects are most salient, most important.
Stage 4: Proficient
The proficient practitioner perceives situations as wholes rather than in terms of chopped up parts or aspects, and performance is guided by maxims. Proficient practitioners understand a situation as a whole because they perceive its meaning in terms of long-term goals. The proficient practitioner learns from experience what typical events to expect in a given situation and how plans need to be modified in response to these events. The proficient practitioner can now recognize when the expected normal picture does not materialize. This holistic understanding improves the proficient practitioner's decision making; it becomes less labored because the practitioner now has a perspective on which of the many existing attributes and aspects in the present situation are the important ones. The proficient practitioner uses maxims as guides which reflect what would appear to the competent or novice performer as unintelligible nuances of the situation; they can mean one thing at one time and quite another thing later.
Stage 5: Expert
The expert practitioner no longer relies on rules to connect his or her understanding of the situation to an appropriate action. The expert practitioner, with an enormous background of experience, now has an intuitive grasp of each situation and zeroes in on the accurate region of the problem without wasteful consideration of a large range of unfruitful, alternative diagnoses and solutions. The expert operates from a deep understanding of the total situation. He or she is no longer aware of features and rules; his/her performance becomes fluid, flexible, and highly proficient. Experts do use analytic tools in situations where they have had no previous experience, or when they make a wrong initial assessment of the situation.

I'd like to find out what knowledge programmers think they acquire at each of these five stages. My first guess is in the table shown below; what else do you think should be there? And what shouldn't, or is in the wrong place? (Note that this table starts at Novice level, which is not the same as an absolute beginner who has seen nothing at all. For us, a novice is someone who has done a standard first-year university "Computing 101" course, and can hack together code to (more or less) pass an assignment, but in Benner's terms, has no "life experience" of their own on which to base decisions when faced with real-world problems.)

Topic Level 1
Level 2
(Advanced Beginner)
Level 3
Level 4
Level 5
Description Our assumed starting point If they learn just one thing If they learn everything in our course Beyond the scope of this course (but in the next one) Large-scale development for computational science
Data Structures list list of lists dictionary, queue tree (recursion) cyclic graphs (and too many others to mention)
Control Flow for
raise/except overriding methods
first-class functions
recursion closures
Modularization function libraries (import) first-class functions
dynamic import
cross-language programming
Patterns what's a pattern? forall
most valuable
factory vs. prototype
template method
Text readline
escape characters
tokenization using split
wildcard regular expressions character encoding (Unicode) recursive descent parsing
Relational Databases select where aggregation join
foreign keys
stored procedures
Data Management shared drive version control
structured vs. unstructured data
dirty/missing data
metadata (format specifiers, provenance)
discipline-scale databases
Design functions for code re-use entities and relationships
interface vs. implementation
Open/Closed Principle
Liskov Substitution Principle
OO design patterns
Version Control checkout
merge rollback branch management
Build "javac *.java" "make program" patterns and rules macros
conditional builds
continuous integration
Documentation README.txt Javadoc and equivalents
Coordination email mailing list
shared spreadsheet
project blog
bug tracker
IRC/chat (archived)
Testing hand-run tests (interactive or scripted) unit tests using a framework
"make test"
boundary case analysis static analysis
stubs/mock objects
Packaging and Deployment tar and email version control labels
"make tarball"
installation scripts RPMs, Eggs, autoconf
Web Programming download files by clicking on them wget
the HTTP protocol
public/private key pairs
CGI to serve static content partial failure
service composition
Performance Engineering timing profiling
algorithms vs. tweaks
Amdahl's Law
memory hierarchy
task farming
processor pipeline
data parallelism
message passing

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