From knowledge to inclusion: Culturally responsive TPACK (TPACCK)
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
Technological pedagogical content knowledge (TPACK) is one of the most widely used frameworks mobilized to support technology integration. Building on recent scholarship that calls for more inclusive and contextualized TPACK to improve technological integration at the local level, this study situates and empirically analyzes the influence of cultural variables in TPACK implementation by a Canadian EFL teacher working in the Japanese university context. It uses analytic autoethnography that draws on culturally responsive teaching and Western and Japanese cultural theories. The results highlight the critical limitations of the current TPACK model in intercultural environments and argue for the inclusion of cultural knowledge as a distinct but overlapping knowledge construct (TPACCK). This model would give greater attention to teachers’ cultural knowledge, thus better equipping educators and organizations to overcome cultural challenges that arise in implementing pedagogies, content, and technologies in intercultural contexts.
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 | 0.011 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.007 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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