Applying Talent Quality-Management System (TTQS) to Enhance Information Literacy, Learning Motivation, and Computational Thinking Competency of Nursing Undergraduates

Abstract

In Taiwan, the Ministry of Education started promoting computational thinking (CT) and design skills in the programming curriculum in 2018 at all universities. CT, which has been widely discussed in the field of education, is the ability to solve problems that use computer science concepts. For students in non-information technology fields, such as nursing students, a curriculum that integrates nursing education and information literacy can bolster evidence-based practice, enhance professional development, and encourage lifelong learning. However, the programming courses were difficult for non-information learners to apprehend, given their lack of knowledge in programming, and had a low attrition rate. Therefore, it is necessary to establish a sustainable management system in the learning process. It is also important to support the interest and confidence of the nursing learner in the programming curriculum. In this study, a programming course for nursing students was completed. A talent quality-management system (TTQS) for this programming course was built and implemented. A technology acceptance model and learning attitude questionnaires were administered to investigate learners’ learning motivation and information literacy. Two nursing classes with 74 freshmen participated in the curriculum in the second semester of the 2020 academic year. The results showed that TTQS, which supports teachers in adjusting pedagogy in a timely manner, can enhance learners’ motivation and performance. In this programming course, nursing students can learn CT and information concepts and improve their learning motivation through the design of learner-centred and collaborative learning.

Bibliometric analysis of core competencies associated nursing management publications

“…A positive correlation was found between the collaboration concept analysis and nurse leader collaboration (r = 4.33 p < .01); furthermore, the interprofessional collaboration was positively correlated with professional students' collaboration education (r = 0.59 p < .01) For example, a study by Bahrami et al (2018) on gerontological nursing adopted semi-structured interviews among 25 participants (9 nurses, 12 nurse managers, 4 clinical instructors) and demonstrated emotional competence in caring for older people including a positive attitude, creativity in care, successful relationship management and compassionate care in practice nursing for older people. Research on computational thinking is extremely rare, with only one study (Wu et al, 2021), which applied a talent quality-management system to enhance nursing students' computational thinking competency. Computational thinking has been narrowly discussed in the training arena.…”

Exploring the factors of students' intention to participate in AI software development

“…They demonstrated that the usefulness of the web portal would affect students' satisfaction. Wu et al. (2021) found that perceived course usefulness would influence nursing undergraduate students' learning attitudes and outcomes in a computer programming course.…”

Research on enterprise talent ladder construction strategy based on multidimensional data analysis methodology

“…Talent echelon construction, as an important project affecting enterprise human resource management, should be by the company's senior management, department heads and other relevant personnel in charge of the attention and concern [2]. And actively take various supporting measures to steadily promote the implementation of the talent echelon construction work, and effectively bring into play the advantageous effect of the talent echelon construction work [3][4].…”