Regardless of the importance of accreditation and the role faculty play in a such process, not much attention was given to those in dental colleges This study aimed to explore faculty perceptions of accreditation in the College of Dental Medicine and its impact, the challenges that hinder their involvement in accreditation, and countermeasures to mitigate these barriers using a convergent mixed methods approach. The interviewees were faculty who hold administrative positions (purposeful sample). The remaining faculty were invited for the survey using convenience sampling. Quantitative data were analyzed by Mann-Whitney and Kruskal-Wallis tests at 0.05 significance. A consensus was achieved on the positive impact of accreditation with an emphasis on the collective responsibility of faculty for the entire process. Yet their involvement was not duly recognized in teaching load, promotion, and incentives. Quality Improvement and Sustainability Tools and Benchmarking were identified as common themes for the value of accreditation to institutions and faculty. Global ranking and credibility as well as seamless service were key themes for institutional accreditation, while education tools and guidance or unifying tools were central themes for faculty. Regarding the challenges, five themes were recognized: Lack of Resources, Rigorous Process, Communication Lapse, Overwhelming Workload, and Leadership Style and Working Environment. To mitigate these challenges, Providing Enough Resources and Leadership Style and Working Environment were the identified themes. This research endeavors to achieve a better understanding of faculty perceptions to ease a process that requires commitment, resources, and readiness to change.

The employees in academic sector had to face an abrupt change due to Covid-19 pandemic and transformation of education into online and remote learning. This has led to virtual work intensity as an aftermath that negatively influences employees’ job satisfaction. In addition, due to remote working conditions, the lines between work and life had been dimmed and thus, the current situation is important to be addressed for wellbeing of academic staff. This research specifically aims to examine impact of virtual work intensity on job satisfaction among university staff. Furthermore, mediating effect of organizational support and work-life balance on the aforementioned relationship are analyzed to better understand the underlying effects. Through PLS-SEM and using a questionnaire survey, a total of 183 data were collected from teachers and administrative staff of two universities. The results show that virtual work intensity can hinder job satisfaction, while organizational support and work-life balance can improve job satisfaction of academic employees. This is due to the fact that support, and balance act against work intensity that diminishes wellbeing of individuals. This implies the vital role of organizations (e.g., human resource department) in providing support for their staff, and creating an environment, where academic staff can have a better work-life balance, leading to higher rates of job satisfaction as an important factor for psychological wellbeing.

This study aims to predict whether university students will make efficient use of Artificial Intelligence (AI) in the coming years, using a statistical analysis that predicts the outcome of a binary dependent variable (in this case, the efficient use of AI). Several independent variables, such as digital skills management or the use of Chat GPT, are considered.The results obtained allow us to know that inefficient use is linked to the lack of digital skills or age, among other factors, whereas Social Sciences students have the least probability of using Chat GPT efficiently, and the youngest students are the ones who make the worst use of AI.

This study focused on the topic of competences and challenges faced by university teachers in Ecuadorian higher education. The objective of this study was to identify the essential competences that university teachers must possess to confront the current challenges in the Ecuadorian educational field. A mixed research methodology was utilized. A concurrent triangulation design (DITRIAC) was applied. The data collection technique was through documentary study and focus groups. Eight experts in Ecuadorian higher education participated as key informants. Among the findings, there was a consensus on 7 key competences (disciplinary mastery, pedagogical competences, technological skills, research and continuous updating, critical thinking development, ethical and social commitment, flexibility and adaptability to change). It was concluded that Ecuadorian higher education requires teaching professionals who not only master their disciplines and possess advanced pedagogical and technological skills, but who are also leaders in research, promoters of critical thinking, and exemplify ethical commitment and adaptability.

Trinity education mode is an important assessment standard in the process of college teacher team construction. Through in-depth exploration of Trinity education mode, data can be further updated in real time from many aspects such as students' training needs, personal development direction and teaching resources reorganization, which is conducive to the basis of college teacher team construction process and can also combine the current situation and core advantages of college teacher team development. It can also integrate the advantages of quality education and trinity education, and further provide new directions for the development of university teachers. Therefore, under the background of new era development, it is an effective way to improve the effectiveness of college teachers' team construction through Trinity education mode, and further realize the advantages of team construction and innovative development in the traditional team construction.

This paper is the third in a series focused on bridging the gap between secondary and higher education. Our primary objective is to develop a robust theoretical framework for an innovative e-business model called the Undergraduate Study Programme Search System (USPSS). This system considers multiple criteria to reduce the likelihood of exam failure or the need for multiple retakes, while maximizing the chances of successful program completion. Testing of the proposed algorithm demonstrated that the Stochastic Gradient Boosted Regression Trees method outperforms the current method used in Lithuania for admitting applicants to 47 educational programs. Specifically, it is more accurate than the Probabilistic Neural Network for 25 programs, the Ensemble of Regression Trees for 24 programs, the Single Regression Tree for 18 programs, the Random Forest Regression for 16 programs, the Bayesian Additive Regression Trees for 13 programs, and the Regression by Discretization for 10 programs.