Table 5.
The factor loading coefficient of each Indicator in questionnaire of the satisfaction with teaching
| Factor1 | Factor2 | Factor3 | Factor4 | |
|---|---|---|---|---|
| Computational and descriptive mathematical knowledge | 0.51 | 0.04 | 0.46 | 0.20 |
| Pharmaceutical-related chemistry knowledge | 0.04 | 0.20 | 0.72 | 0.16 |
| Knowledge of new equipment in pharmaceuticals | 0.28 | 0.26 | 0.58 | 0.20 |
| Knowledge of new pharmaceutical processes and new technologies | 0.26 | 0.22 | 0.66 | 0.16 |
| Knowledge of drug design, synthesis, formulation, and translation | 0.21 | 0.22 | 0.62 | 0.24 |
| Biological knowledge of drugs | 0.28 | 0.24 | 0.56 | 0.15 |
| Big data | 0.78 | 0.23 | 0.15 | 0.12 |
| AI (artificial intelligence) | 0.79 | 0.24 | 0.10 | 0.14 |
| Economic management of drugs | 0.77 | 0.27 | 0.10 | 0.07 |
| Relationships between people and society | 0.66 | 0.17 | 0.23 | 0.18 |
| Apply mathematics and physics to logical reasoning and analysis | 0.49 | 0.15 | 0.46 | 0.20 |
| Use chemistry for scientific analysis and judgment | 0.23 | 0.23 | 0.59 | 0.28 |
| Apply pharmacy for in-depth understanding and scientific research | 0.17 | 0.19 | 0.63 | 0.31 |
| Use biology for identification and application | 0.21 | 0.21 | 0.64 | 0.24 |
| Use engineering knowledge to conduct systematic analysis and rationality demonstration | 0.40 | 0.24 | 0.47 | 0.28 |
| Data skills such as data collection, refining, and processing (partial software) | 0.53 | 0.42 | 0.29 | 0.15 |
| Use of modern analytical and testing instruments, qualitative and quantitative analysis (partial hardware) | 0.46 | 0.36 | 0.40 | 0.05 |
| Use new technologies, new tools | 0.57 | 0.40 | 0.34 | 0.06 |
| Research and judgment skills, risk assessment skills | 0.70 | 0.34 | 0.21 | 0.16 |
| Systems thinking (full cycle, full process control) | 0.65 | 0.32 | 0.26 | 0.19 |
| Grasp the rules of project operation | 0.63 | 0.29 | 0.25 | 0.21 |
| Optimize the economic decisions of your engineering projects | 0.62 | 0.37 | 0.24 | 0.14 |
| Time & Resource Management (Project-based) | 0.47 | 0.54 | 0.22 | 0.22 |
| Forward-looking, strategic thinking and insight into the pharmaceutical industry | 0.30 | 0.63 | 0.31 | 0.14 |
| Strong willpower to face the unknown | 0.35 | 0.61 | 0.30 | 0.16 |
| User thinking with market ability | 0.43 | 0.63 | 0.15 | 0.21 |
| Communication skills | 0.24 | 0.65 | 0.26 | 0.22 |
| Teamwork (cross-border integration) | 0.20 | 0.63 | 0.31 | 0.24 |
| Leadership | 0.30 | 0.65 | 0.25 | 0.23 |
| Global competence | 0.38 | 0.64 | 0.16 | 0.24 |
| Curiosity, continuous lifelong learning | 0.22 | 0.65 | 0.19 | 0.33 |
| Metacognition, self-knowledge, self-reflection | 0.23 | 0.65 | 0.24 | 0.36 |
| Knowledge transfer and problem-solving skills in complex contexts | 0.24 | 0.63 | 0.24 | 0.34 |
| Ability to innovate, with a strong desire to break through the stuck neck technology | 0.32 | 0.61 | 0.20 | 0.39 |
| Entrepreneurship and entrepreneurial ability | 0.34 | 0.59 | 0.21 | 0.35 |
| cherish the greatness of the country | 0.03 | 0.30 | 0.41 | 0.56 |
| Altruism, dedication | 0.17 | 0.32 | 0.31 | 0.66 |
| Pharmaceutical Engineering Ethics and Norms | 0.10 | 0.31 | 0.32 | 0.67 |
| Undertake health, safety, legal and cultural social responsibilities | 0.21 | 0.28 | 0.29 | 0.70 |
| Pay attention to the issues of efficiency, environmental protection and sustainable development | 0.27 | 0.30 | 0.24 | 0.71 |
| Meet the needs of an inclusive and diverse society | 0.22 | 0.29 | 0.24 | 0.72 |
Note: The eigenvalues of the first four factors extracted by principal component analysis are all greater than 1, and the cumulative variance contribution rate is 60.51%