The False Dichotomy between Academic Learning & Occupational Skills
Bibliographic Data
| ID | 9685422 |
|---|---|
| Authors | Thomas R Bailey (corresponding author), Clive R Belfield, Clive Belfield (0000-0003-2556-7540, Queens College, CUNY) |
| Year | 2019 |
| Volume | 148 |
| Issue | 4 |
| Pages | 164-178 |
| Publication date | 2019-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Daedalus (JOURNAL) |
| Journal identifiers | ISSN: 0011-5266 • E-ISSN: 1548-6192 |
| Publisher | MIT Press (PUBLISHER • US) |
| DOI | 10.1162/daed_a_01765 |
| OpenAlex | W2973751059 |
| Language | EN |
| Citations received | 2 |
What distinctions are there between vocational (career and technical) education and academic learning in college? In this essay, we compare broad academic and vocational program goals, embodied skills, tasks, and jobs, with a focus primarily on community college students. There is considerable overlap between the two types of education, so a separation of tracks presents a false dichotomy. In addition, vocational certificates, which often have little academic content, have attracted attention lately as a path to good jobs. New evidence indicates that degrees offer more substantial advantages than certificates in the labor market. We argue for an alternative framework for thinking about the optimal accumulation of skills in college. Rejecting the traditional distinction between vocational education and academic learning, we posit that educational paths are best understood as accumulations of general education followed by terminal work-related education. We label this the Gen-Tech framework and consider its explanatory power and implications for colleges and students
Academic skills · Embodied cognition · Epistemology · Explanatory power · Higher education · Mathematics education · Pedagogy · Political science · Vocational education · Work (physics · Computer Science · Education Systems and Policy · Higher Education and Employability · Psychology
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |