Research Directions in Interior Architecture in the Higher Education in Thailand (1997-2016)
Bibliographic record
Abstract
This research aims to explore research directions in interior architecture in the higher education in Thailand within the past two decades (1997-2016). This research is a part of the quinquennial curriculum renewal process of the master degree of interior architecture programme, Department of Interior Architecture, King Mongkut’s Institute of Technology Ladkrabang (KMITL). The systematic literature review was conducted to track back on theses in interior architecture in the higher education in Thailand. The query focused on master degree theses published from 1997 to 2016 within ThaiLIS-Thai Library Integrated System (TTLIS) in which research, theses, and dissertations of all universities in Thailand were systematically collected. The keyword ‘interior architecture’ was used to search for thesis documents in TTLIS with specifically refined results on master degree theses in all universities in Thailand. One hundred and ninety-six theses were found in the search. This research comprises two stages. In the first stage, all one hundred and ninety-six theses were systematically reviewed and categorized into different types of research. It was found that there was no predictive research type and no novel theoretical framework generated among studied theses. In second stage, semi-structure interview was adopted to explore details of participants’ experiences of doing their theses; inspirations, background ideas, supports, and obstacles. A lack of generating new theoretical frameworks in interior architecture in the higher education in Thailand has weaken the progression of research in this discipline. Developing a novel theoretical framework in interior architecture in the higher education in Thailand is recommended.
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.
How this classification was reachedexpand
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 | 0.002 | 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 | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".