| Literature DB >> 31336610 |
Hsiao-Jung Chen1,2, Li-Ling Liao3, Yu-Che Chang4, Chung-Chih Hung5,6, Li-Chun Chang7,8.
Abstract
In this study, we explored the considerations and the influencing factors for the technological integration of educational curricula based on the technological pedagogical content knowledge (TPCK) framework for health profession educators (HPEs). A mixed methodology was used that included semi-structured interviews with 15 HPEs and an online TPCK survey with a randomly selected sample of 319 HPEs from 217 Taiwanese universities. Five themes emerged, namely, supplementing traditional teaching methods, improving immediate educator-student interactions, tracking the learning process and improving the record-keeping, keeping up with technological trends, and advancing professional learning objectives for different student needs. The presence of pre-existing platforms and inspiration from colleagues and students were facilitators, whereas the risk of technological problems and the need to invest extra time into the preparation process were impediments to technology integration in the curriculum. Of the online respondents (n = 210), 64.2% have integrated at least one technological method into their curriculum. The logistic regression model revealed that gender, prior knowledge regarding how to incorporate technology with teaching, high mean TPCK scores, and relevant school policies were significant predictors of technology integration in the curriculum. Based on these results, recommendations for development in the health profession included efforts to equip HPEs with TPCK, in order to integrate technology into the curriculum effectively.Entities:
Keywords: medical teacher; professional development; technological pedagogical content knowledge (TPCK/TPACK); technology-enhanced learning (TEL)
Mesh:
Year: 2019 PMID: 31336610 PMCID: PMC6678263 DOI: 10.3390/ijerph16142602
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1The TPCK framework (Mishra and Koehler, 2006).
Descriptive characteristics of participants.
| Variables | Interview ( | Survey ( | ||
|---|---|---|---|---|
| N | % | N | % | |
| | ||||
| Male | 6 | 40.00 | 117 | 36.68 |
| Female | 9 | 60.00 | 202 | 63.32 |
| | ||||
| 21–30 | 0 | 0 | 2 | 0.63 |
| 31–40 | 1 | 6.67 | 46 | 14.42 |
| 41–50 | 9 | 60.00 | 156 | 48.90 |
| ≥ 51 | 5 | 33.33 | 115 | 36.05 |
| | ||||
| Bachelor | 0 | 0 | 26 | 8.15 |
| Master’s | 7 | 46.67 | 107 | 33.54 |
| Doctorate | 8 | 53.33 | 186 | 58.31 |
| | ||||
| Nursing | 5 | 33.33 | 120 | 37.62 |
| Radiation oncology | 1 | 6.67 | 5 | 1.57 |
| Elderly care | 0 | 0.00 | 37 | 11.60 |
| Nutrition | 1 | 6.67 | 21 | 6.58 |
| Physician | 4 | 26.67 | 64 | 20.06 |
| Medical examination | 2 | 13.33 | 58 | 18.18 |
| Pharmacy | 2 | 13.33 | 14 | 4.39 |
| | ||||
| 1–10 years | 5 | 33.33 | 152 | 47.64 |
| 11–20 years | 7 | 46.67 | 100 | 31.35 |
| 21 years or more | 3 | 20.00 | 67 | 21.01 |
| | ||||
| Yes | 6 | 40.00 | 210 | 65.8 |
| No | 9 | 60.00 | 109 | 34.2 |
| | ||||
| 0 | 0 | 0 | 109 | 34.2 |
| 1 | 9 | 60.00 | 122 | 38.2 |
| >1 | 6 | 40.00 | 88 | 27.6 |
| | ||||
| Yes | 3 | 20.00 | 224 | 70.22 |
| No | 12 | 80.00 | 95 | 29.78 |
Qualitative analysis of health profession educators (N = 15).
| Theme (Abbreviations) | Categories | Definition |
| 1. Supplementary for traditional teaching (S) |
Absent learning in the classroom Repeat the study of teaching materials at any time Various learning resources in the form of non-textbooks | Technological assistance allows learning to not be limited by time or location and can be repeated at any time. |
| 2. Heightening the immediate educator–student interaction (H) |
Use of IRS to interact with students Exams with feedback immediately after the answer is given Posing questions at any time in the classroom on social software | Through instant interaction and understanding of the process and reactions of students during the course, teaching and learning strategies can be adjusted at any time. |
| 3. Tracking the learning process and record keeping (T) |
Easy to keep an e-profile of students Know the questions of students in previous years All students’ assignments and examinations are scored on the e-platform through online course activities. | In e-learning, complete student records can be stored in the cloud, assessments do not require pen and paper, and medical students can review materials at any time when studying. In addition, educators can monitor their students synchronously. |
| 4. Keeping up with technological trends (K) |
The needs of technology use everywhere Falling behind in the age of technology Using technology is modern | Technology is a modern trend. Not only is educational technology becoming digitized, but various aspects of real life also require the use of technology. |
| 5. Advancing the professional learning objectives according to different background of students (A) |
Professional training requires advanced situations Provide a holistic and advancing clinical situation to learn | The integration of student needs into TEL is used as a pedagogical method to achieve professional knowledge of content. |
Abbreviations: IRS: Interactive Response System; TEL: Technology-Enhanced Learning.
Summary of description results of TPCK.
| No. of Item | Cronbach α | Range | Mean | Standard Deviation | |
|---|---|---|---|---|---|
| CK | 3 | 0.91 | 13–21 | 6.47 | 0.53 |
| PK | 6 | 0.91 | 15–42 | 5.68 | 0.72 |
| PCK | 3 | 0.86 | 7–21 | 5.40 | 0.90 |
| TK | 7 | 0.7 | 10–49 | 5.00 | 1.09 |
| TPK | 5 | 0.83 | 10–35 | 5.83 | 0.89 |
| TCK | 3 | 0.92 | 6–21 | 5.86 | 0.93 |
| TPCK | 5 | 0.81 | 7–35 | 5.07 | 1.19 |
Multivariable logistic regression model for technology integration in the curriculum.
| Variable | No (%) | Yes (%) | Model 1 | Model 2 | Model 3 |
|---|---|---|---|---|---|
| OR (95% CI) | OR (95% CI) | OR (95% CI) | |||
| Gender | |||||
| Female | 55(46.2) | 147(72.8) | 1 | 1 | 1 |
| Male | 54(46.2) | 63(53.8) | 2.08(1.28–3.40) ** | 1.83(1.11–3.03) * | 1.65(0.98–2.79) |
| Academic Degree | |||||
| Bachelor’s and Master’s | 30(23.1) | 100(76.9) | 1 | 1 | 1 |
| Doctoral | 78(41.7) | 109(58.3) | 0.47(0.28–0.78) ** | 0.45(0.27–0.76) ** | 0.40(0.23–0.69) ** |
| Teaching Experience | |||||
| <10 | 41(39.8) | 62(60.2) | 1 | 1 | |
| ≥10 | 68(31.5) | 148(68.5) | 1.26(0.75–2.12) | 1.17(0.68–2.02) | |
| Learned Technology in Teaching | |||||
| No | 48(56.5) | 47(49.5) | 1 | 1 | |
| Yes | 61(27.2) | 163(72.8) | 2.38(1.42–4.01) *** | 1.83(1.06–3.16) * | |
| TPCK | |||||
| <mean scores | 81(40.5) | 119(59.5) | 1 | ||
| ≥mean scores | 28(23.5) | 91(76.5) | 3.50(2.07–5.94) *** | ||
| School Policy | |||||
| No | 132(83.0) | 27(170) | 1 | ||
| Yes | 15(9.4) | 145(90.6) | 4.59(1.45–4.59) *** | ||
| Variance explained | 8.8% | 13.6% | 73.6% | ||
| −2 log likelihood | 358.92 | 373.87 | 383.66 | ||
| df | 3 | 5 | 7 | ||
| △X2(△df) | 5.6(1) | 65.4(3) | |||
| P | 0.002 | <0.001 |
Abbreviations: OR, odds ratio; 95% CI, 95% confidence interval; df, degree of freedom.