Best Practices in Teaching International Students in Higher Education: Issues and Strategies
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
Regardless of their level of academic preparedness, international students face distinct challenges that arise from language issues as well as ones of a personal and social nature, all of which can lead to frustration and failure (Bossio & Bylyna, ). This article discusses an online survey carried out in a Canadian college that identified academic and sociocultural issues faced by international students and highlighted current or potential strategies from the input of 229 international students, 343 domestic students, and 125 professors. Findings reveal that counterproductive behavior may obstruct academic achievement and communication, and there is evidence of disagreement about international students’ academic strengths. A disconnect between participants was also found regarding academic expectations. Moreover, findings reveal that English language abilities are not the sole hindrance to academic success. Responses highlight the need for, and list steps toward, a more proactive and continual pedagogical evolution for faculty and postsecondary institutions to enhance the academic experience and success of international students.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| 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