Teacher Perspectives On The Instruction Of Workplace Transferrable 21st Century Skills In The High School Setting
Bibliographic record
Abstract
With the rapid changes in technology at the beginning of the 21st century came a call from Education and Business leaders to strengthen learning opportunities for students in what were called 21st Century or Workplace Transferrable Skills. These leaders collaborated globally to define and prioritize these skills in a variety of frameworks. Frequently included skills in these frameworks are Communication, Collaboration, Problem-solving, Social-intelligence, and Self-direction. These skills have also been identified as broadly sought after by employers. While not necessarily new skills academically, technology and today’s global market necessitate a redefinition of the skills to reflect current workplaces. Nearly a quarter of the way through the 21st century, however, there is very little literature regarding whether secondary teachers perceive that they are, in fact, providing opportunities for growth in these areas. This study examined the extent to which teachers perceive they provide these opportunities and the factors that influence their decision making about including them in their classroom. Using survey-based research a two-part questionnaire was designed for secondary teachers in two different states to self-report how often they incorporated 21st century skills in their classroom. Part one specifically asked about the teaching and assessing of Communication, Collaboration, Problem-solving, Social-intelligence and Self-direction. Part two utilized Gilbert’s Behavior Engineering Model to examine what workplace and individual factors influence teacher decision-making regarding these skills. The results show that teachers, regardless of education, experience, gender or age generally perceive that they provide students opportunities to develop these skills on average more than once a week. Based on the responses to part two of the questionnaire, teachers were clear that they offer these opportunities because they personally believe the skills to be important to students rather than because of workplace requirements or incentives. This study concludes that despite USA schools being focused on standardized knowledge-based testing, teachers report that they consistently offer students opportunities to develop 21st century workplace transferable skills.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".