Influence of Student Internship on Career Readiness Skills of BEEd and BSEd Student Interns of St. Francis Xavier College
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
A student internship is a temporary work experience program designed to provide students with practical, hands-on experience in their field of study or career interest. Student internships play a significant role in developing career readiness skills. They bridge the gap between academic learning and professional work, equipping students with the skills and knowledge they need to transition into the workforce with confidence. This study aimed to determine the significant influence of student internships on career readiness skills among education interns at St. Francis Xavier College. Employing a predictive quantitative research design, the study utilized adapted and slightly modified questionnaires from studies published in reputable international journals. These instruments were administered to 168 education interns to gather much-needed data. Statistically, the collected data were processed using the weighted mean, standard deviation, Pearson Product-Moment Correlation Coefficient, and Regression Analysis. Results indicated that the extent of student internships was rated very high, and the level of college readiness skills was also very high. Moreover, the study revealed a positive and significant relationship between student internships and career readiness skills. Furthermore, the study found that student internship significantly influences career readiness skills. It can be concluded that practical learning enhances academic knowledge. The hands-on experiences gained through internships complement theoretical learning, allowing students to better understand and apply academic concepts in real-world scenarios. This manuscript highlights the importance of internship in professional college students for skill development in their future career. It is written orderly and the method used is scientifically sound. Statistical calculations are trustworthy and results are believable.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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