Is it design or is it inquiry? : exploring technology research in a Filipino school setting
Bibliographic record
Abstract
My case study explored Filipino secondary students' and teachers' experiences with technology research, project-based pedagogy. The study was conducted to examine the nature of a Technology Research (TR) Curriculum, and how it mediates non-Western students' learning, and interest in technology-based careers. The context for my study is Philippine Science High School's (PSHS) TR program wherein students outline a proposal, design an experiment or a device, and implement their design to address a real world problem. My data sources included semi-structured interviews of 27 students and 2 teachers; participant observations of classroom and group activities, teacher-student consultations, and Science-Technology Fair presentations; TR curriculum documents; and researcher journal logs. My examination of curriculum documents revealed that since the 1960s, the Philippine government has implemented specialized educational programs, such as the PSHS Science/Technology Streaming and TR programs, to support Filipino youth interested in science and technology courses and careers. Data analyses showed that the TR program provided a rich, practical learning environment where 'doing technology design' blended with 'doing science inquiry'. The TR activities enhanced student understanding of science and technology; helped them integrate and apply knowledge and skills learned from other school subjects; encouraged them to be creative, problem-solvers; and helped develop their lifelong learning skills. Students recognized that TR teachers adopted alternative instructional strategies that prompted students to adopt more active roles in their learning. Research findings revealed that student interest in pursuing technology-related careers was supported by their participation in the streaming and the TR programs. Data also showed that Filipino cultural practices mediated student learning, and career decision-making. My research findings suggest that present notions of scientific inquiry, and technological design need to be re-examined; that integrated science-technology school programs must be implemented to enhance students' academic and vocational knowledge and skills; and that career direction interventions should address personal and socio-cultural factors other than student interest and aptitude. My study provides strong evidence that technology research pedagogy can change teaching-learning approaches in a Filipino classroom. This study showed that academic-vocational, technology-enriched science curriculum could be effectively designed to help equip students to become critical thinkers and leaders in the 21st century.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.030 | 0.021 |
| Scholarly communication | 0.014 | 0.010 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".