An examination of the orientation needs of international students at the Humber College Institute of Technology & Advanced Learning
Bibliographic record
Abstract
The purpose of this study was to: (a) clarify the meaning, of "orientation", (b) evaluate effectiveness of the international student orientation program, (c) determine whether the program, met the needs of the survey respondents, and (d) ascertain the most appropriate method for the delivery of the pre-departure materials, and ideal schedule for the on-site orientation program. The research study was conducted at the Humber College Institute of Technology and Advanced Learning, in Toronto, Ontario. -- A convenience sample was used, drawing respondents from the 2006-2007 academic cohort. The respondents were asked to complete a web-based survey. From the study's findings, the respondents equated the term "orientation" as the means for learning more about Humber and it services. They indicated that the two primary resources they used for their pre-departure preparation were: (a) viewing the Humber international student website, and (b) dialoguing with family, friends and alumni. Their primary orientation needs were consistent with the basic needs addressed in Maslow's Hierarchy of Needs theory. It was found that the respondents preferred to continue to receive pre-departure materials through regular mail, and that the scheduling of the on-site orientation remain the same. The data results were discussed, and recommendations for program improvements and future research were provided.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".