Developing intercultural competence through a linked course model curriculum: Mainstream and L2‐specific first‐year writing
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
Institutions of higher education in the United States continue to witness a dramatic shift in the spectrum of diversity in their student populations. Multiple variables of difference that mixed student demographics bring to university campuses make internationalization work necessary both inside and outside the classroom. Internationalization of higher education is a collaborative responsibility academic and nonacademic programs should share to facilitate the integration of various student populations within the broader culture of the university. However, there are few, if any, models for internationalizing introductory courses required of a large percentage of the student body, such as first‐year writing (FYW). In this article, the authors propose and argue for an intercultural competence–oriented approach to internationalizing writing programs through a linked course model curriculum that pairs international and domestic students in separate second language–specific and mainstream FYW classes. The linked course model curriculum develops and assesses students’ intercultural learning and writing skills as core learning outcomes. This article presents the curricular design and interventions, the research design of the study conducted across three semesters of curriculum implementation, and the reflective writing results from the pilot semester to communicate the preliminary effectiveness of this curricular model.
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 | 0.000 | 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 | 0.000 | 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