Employers’ perspectives on new information technology technicians’ employability in North Florida
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose In response to recent calls for research relating to employers’ perceptions of the workplace readiness of new graduates in a variety of fields, the purpose of this paper is to report North Florida employers’ perceptions of information technology (IT) program graduates’ workplace readiness. These findings are relevant to stakeholders in growing technology regions. Design/methodology/approach Researchers conducted 18 semi-structured interviews with IT employers in North Florida. Data were deductively coded with codes derived from national standards. Interviewee verbatim was also inductively coded by theme. Findings While employers valued a blend of technical and general skills and hands-on experience, they also sought new professionals who possessed fundamental understandings of business and computer programming to tailor their problem-solving skills to the specific company environment. Research limitations/implications This research represents a limited number of employer viewpoints in one representative community. Practical implications Ongoing industry input into curricula and expanded experiential opportunities may ensure that graduates are prepared to address current and future IT developments. Because the region under study was typical of many regions with growing technology sectors, these findings may inform partnerships, curriculum, and program design. Originality/value Given the rapid growth and constant advances of the IT sector, institutions with IT degree programs are challenged to ensure that their curricula are current and meeting the needs of employers. This study’s findings may offer timely insight into elements of workforce preparedness.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it