EP.TU.590Making the cut – Tailoring an undergraduate surgical teaching programme a QI project

Aims This project set out to improve the quality of surgical teaching for final year students on a DGH placement. A four-week programme was introduced and regular modification was undertaken through systematic gathering of feedback. The sessions developed were interactive question-based tutorials, suturing, and on-call simulation with common F1 scenarios. Methods Material was developed and piloted based on topics the facilitators felt were poorly taught as students. Feedback was gathered by questionnaire after each session comparing the student’s confidence before and after, along with suggestions for improvement. This process was repeated through all six rotations. Results A total of 95 questionnaires were completed. Average confidence increased from 52% to 77%. The programme was expanded based on suggestions to include orthopaedic examinations and plastic surgery. The tutor pool was increased to include more foundation doctors to ensure sustainable weekly delivery. Examples of how suggestions were implemented include: Conclusions The success of the teaching programme was evident through positive feedback and good student attendance. By playing to the strength of foundation trainees as recent graduates, the programme complemented content-based teaching from more senior colleagues with sessions targeting practical F1 skills and exam specific needs of students. Early piloting also meant ability to constantly adapt the programme to enhance its benefit to the students.

A Model Study on Collaborative Learning and Exploration of RBAC Roles

Role-based access control (RBAC) can effectively guarantee the security of user system data. With its good flexibility and security, RBAC occupies a mainstream position in the field of access control. However, the complexity and time-consuming of the role establishment process seriously hinder the development and application of the RBAC model. The introduction of the assistant interactive question answering algorithm based on attribute exploration (semiautomatic heuristic way to build an RBAC system) greatly reduces the complexity of building a role system. However, there are some defects in the auxiliary interactive Q&A algorithm based on attribute exploration. The algorithm is not only unable to support multiperson collaborative work but also difficult to find qualified Q&A experts in practical work. Aiming at the above problems, this paper proposes a model collaborative learning and exploration of RBAC roles under the framework of attribute exploration. In this model, after interactive Q&A with experts in different permissions systems by using attribute exploration, the obtained results are merged and calculated to get the correct role system. This model not only avoids the time-consuming process of role requirement analysis but also provides a feasible scheme for collaborative role discovery in multidepartment permissions.

Implementasi Framework Codeigniter Pada Perancangan Chatbot Interaktif Menerapkan Metode Waterfall

In delivering information related to lecture activities at the National University, the Information Systems Study Program has prepared a special website, namely http://si.ftki.unas.ac.id/. The website contains a lot of information about important activities or announcements, it's just that the need for other supporting information makes users have the need to ask further questions regarding the information contained on the website. Actually the Website http://si.ftki.unas.ac.id/ has provided the RoomChat feature for question and answer sessions between admin and users, but this feature is still ineffective, such as there is a time lag between questions and responses or unable to provide services for 24 jam. In this study, the authors wanted to design the chatbot feature using the waterfall method, which was carried out sequentially starting from the planning, analysis, design, implementation, testing to maintenance stages. While working on the application, this chatbot was created using the Codeigniter framework with the mysqli database. This chatbot feature will result in a more interactive question and answer session, so that two-way communication with users can run smoothly.

Virtual assistant upper respiratory tract infection education based natural language

The high incidence of Upper Respiratory Tract Infection (URTI) in Indonesia requires an efficient healthcare solution to maintain human wellbeing. The e-health education model proposed in this paper is a virtual assistant in the form of an interactive question and answer system (Assistant Virtual Interactive Question Answering = AVIQA) with a natural language approach. AVIQA is a form of problem-solving approach to design some aspects of education and consultation in helping parents to recognize symptoms and dealing with several preventive actions for toddlers when exposed to Upper Respiratory Tract Infection. The technologies proposed for the development of AVIQA include (i) Representation of sentence meanings to build an URTI knowledge base; (ii) Design of dialogue models for interactive consultation using a combination between information state and frame base model and (iii) development of IQA based on casebase reasoning and semantic role labelling. The purpose of developing this technology is to achieve a system that is capable of assisting the users especially mothers in searching for information, reducing user time compared to reading a document, and providing a good advice for finding the right answers, which then can be constructed from a management model prototype information for the education and independent consultation for users. The final result of this study is e-health education system based Indonesian natural language that has an ability in terms of health consultations especially health of children under five in Acute Respiratory Infection disease. This system is expected to have a significant impact on the ability of a mother to recognize symptoms and deal with children attacked by URTI

Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects

Museums play a crucial role in preserving cultural heritage. However, the forms in which they display cultural heritage might not be the most effective at piquing visitors’ interest. Therefore, museums tend to integrate different technologies that aim to create engaging and memorable experiences. In this context, the emerging Internet of Things (IoT) technology results particularly promising due to the possibility of implementing smart objects in museums, granting exhibits advanced interaction capabilities. Gamification techniques are also a powerful technique to draw visitors’ attention. These often rely on interactive question-based games. A drawback of such games is that questions must be periodically regenerated, and this is a time-consuming task. To confront these challenges, this paper proposes a low-maintenance gamified smart object platform that automates the creation of questions by exploiting semantic web technologies. The platform has been implemented in a real-life scenario. The results obtained encourage the use of the platform in the museum considered. Therefore, it appears to be a promising work that could be extrapolated and adapted to other kinds of museums or cultural heritage institutions.