PSYCH 644 Week 6 Applying Learning and Cognition to Life and Career Example

From Apprentice to Master Machinist: Applying Learning and Cognition Research to a Four-Year Apprenticeship and My Own Career

[Student Name]

University of Phoenix

PSYCH/644: Psychology of Learning and Cognition

Week 6 Assignment

[Instructor Name]

[Date]

The aerospace shop, its apprenticeship and the writer's plans are composites written for a model paper; research findings come from the sources listed.

A course on learning and cognition is most useful when its ideas change what one does. This final paper applies the course to the apprenticeship program I manage and to my own career.

The Apprenticeship

Saguaro Precision in Tucson runs a four-year apprenticeship that turns community college graduates into journeyman machinists able to set up and run any machine in the shop, including five-axis mills, and to solve problems independently. Historically, apprentices learned by rotating through departments and watching experienced machinists, with little structure. About a third left before finishing, and those who finished varied widely in skill.

What Builds Expertise

Ericsson et al. (1993) studied violinists at a music academy in Berlin and proposed that expert performance results largely from deliberate practice: effortful activities designed to improve specific aspects of performance, typically with a teacher's guidance and immediate feedback, as distinct from work or play. The best violinists had accumulated far more hours of solitary deliberate practice by age eighteen than less accomplished peers. The authors argued that many characteristics once thought to reflect innate talent result from extended, intense practice.

This study shaped how many fields think about training. It suggested that apprentices need not only time in the shop but practice structured around their weaknesses, with feedback.

How Much Does Practice Explain?

Macnamara et al. (2014) tested this view with a meta-analysis of studies relating amount of deliberate practice to performance in games, music, sports, education and professions. Practice was positively related to performance in every domain, but it explained only a modest share of performance differences overall, around twelve percent, with larger shares in games and music and smaller shares in education and professions. The authors concluded that practice matters but is not the whole story; other factors, such as starting age, intelligence and personality, also contribute.

For the apprenticeship, this means structured practice should be central, but the program should not assume that every apprentice will reach the same level with the same hours, and it should support apprentices whose progress lags in other ways.

Practice explains a real part of mastery, not all of it, which is a reason for structure and patience rather than for blaming slow learners.

Learners Who Manage Their Own Learning

Sitzmann and Ely (2011) meta-analyzed research on self-regulated learning in work-related training and education. Several self-regulatory processes predicted learning, especially goal level, persistence, effort and self-efficacy, while others, such as planning and metacognition, showed smaller relationships. The authors argued that trainers should encourage learners to set challenging goals and support their persistence and confidence.

Integrating the Course

The redesigned apprenticeship draws on each week of the course. From learning theories: the first year moves from worked examples and modeling to guided practice, with feedback on each setup, before independent problem solving in later years. From attention research: inspection training uses planted defects and feedback to counter the rare-target problem, and apprentices learn to structure their workstations to reduce visual distraction. From memory research: technical knowledge, such as tolerancing and material properties, is taught with spaced retrieval practice rather than rereading. From knowledge and language: work instructions follow controlled language principles, and apprentices keep a personal glossary linking terms to real parts. From problem solving: apprentices practice a structured troubleshooting method on recorded past problems and join troubleshooting teams for real ones.

Deliberate practice is built in through monthly skill targets chosen with a mentor based on the apprentice's weakest area, such as holding tight tolerances on thin walls, with specific practice tasks and measured results. Self-regulation is supported through a learning log in which apprentices set goals, record practice and review progress with their mentor.

Individual Differences and Motivation

Apprentices differ in background, prior knowledge and confidence. The program assesses skills at entry and adjusts the starting point, so experienced entrants skip material they know. Early success on inexpensive materials builds self-efficacy. Apprentices who fall behind receive additional mentoring rather than being dropped at the first evaluation.

The Role of Mentors

Everything above leans on the mentors, and few of them have ever been taught how to teach. Experienced machinists are experts at machining, not at teaching, and research on expertise suggests they may struggle to see what novices find hard. Each mentor will complete a short workshop on giving specific feedback, choosing practice tasks for a weakness and asking questions that prompt apprentices to explain their reasoning. Mentors will meet monthly as a group to compare notes on what works. Each mentor's yearly review will count how their apprentices are doing, a plain message that coaching is real work at Saguaro.

Why the Old Approach Persisted

The rotation-and-watch approach lasted for decades because it seemed to work for the machinists who stayed, who became the shop's experts and later its mentors. Their success hid the third of apprentices who left and the wide variation among those who finished. This survivorship pattern, judging a method by the people it happened to suit, is one reason that training traditions resist change. Measuring completion and skill across every apprentice, not only the successful ones, keeps the new program honest.

Measuring Progress

We will track completion rates, skill assessments at six-month intervals, scrap rates by apprentice and supervisors' ratings. The goal is to raise completion from two thirds to eighty-five percent and narrow the variation in skill at completion.

Costs and Commitments

The redesign asks more of the company: mentor time, training materials, a practice cell with older machines for low-cost practice and an apprenticeship coordinator. The estimated first-year cost of about $60,000 compares with roughly $45,000 lost each time an apprentice leaves after two years of training, so preventing two departures a year would cover it.

My Own Career

I plan to become a director of learning and development in manufacturing within five years. The same principles apply to me. I will set specific goals, such as designing and evaluating three training programs with measured outcomes, seek feedback from experienced learning professionals, practice skills I am weakest in, such as statistics for evaluating programs, and keep a log of what I learn from each project. I will also remember the limits research shows: practice will take me far, but I will need mentors, opportunities and patience.

Reflection on the Course

Before this course, I believed that apprentices learned mainly by watching and that people who struggled lacked aptitude. The course showed me that novices need more structure than experts realize, that skilled people miss rare things for predictable reasons, that the most comfortable study habits are often the least effective and that expertise can trap as well as help. Each idea changed a specific practice in my shop.

Conclusion

Research on deliberate practice, its limits and self-regulated learning, combined with the course's work on attention, memory, language and problem solving, provides a foundation for a stronger apprenticeship and for my own development. The goal is not more hours but better-designed ones.

References

Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363-406. https://doi.org/10.1037/0033-295X.100.3.363

Macnamara, B. N., Hambrick, D. Z., & Oswald, F. L. (2014). Deliberate practice and performance in music, games, sports, education, and professions: A meta-analysis. Psychological Science, 25(8), 1608-1618. https://doi.org/10.1177/0956797614535810

Sitzmann, T., & Ely, K. (2011). A meta-analysis of self-regulated learning in work-related training and educational attainment: What we know and where we need to go. Psychological Bulletin, 137(3), 421-442. https://doi.org/10.1037/a0022777