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This paper describes the development of a blended-based sustainable training model. The blended learning model is used to overcome participants' limited time constraints in ongoing training to increase the competency of tourism village community empowerment facilitators. The research method used is development research. The research subjects were community empowerment facilitators in tourist villages, DKI Jakarta, and West Java. The data collection techniques used were observation, interviews, and literature review. Data analysis in this research was carried out using qualitative descriptions. The study results show that conceptually implementing a blended learning-based continuous training model increases facilitators' competence in empowering the Tourism Village community through the stages of input, process, and output analysis. In the input component, the training manager maps the competency of the facilitator's objective conditions; the training process component uses an andragogy approach where participants have self-concept practical experience and can overcome the problems they face; and the output component produces tourism village facilitators who master three competency elements, namely basic, core and special. [ABSTRACT FROM AUTHOR]

This study looked at the effectiveness of blended learning in a South Korean university's nursing department during the length of a semester, from September to December 2019, before the pandemic lockdown. Evaluations of blended learning efficacy are closely tied to both nursing educators and learners. The goal of this paper is to look at ongoing English-medium education at a nursing department at a Korean university that uses a blended learning model. The current study examines the learning experiences of 41 Korean Freshmen and Sophomores, assessing their development and acceptance of blended learning, as well as the efficacy of this pedagogical tool in improving nursing undergraduates' learning outcomes. Our primary approaches are interviews and surveys. We believe that the blended learning technique may equip Korean students with more effective learning opportunities in terms of critical thinking and problem solving. As a result, blended learning may be essential for future nursing education applications. [ABSTRACT FROM AUTHOR]

The literature review found that only a few studies in Indonesia have been applied to modeling peatlands fire occurrences. In our previous studies, various machine learning classification approaches are applied to predict forest fire occurrence in the peatlands area. Our previous empirical study found that the datasets of fire hotspot areas, especially for data from the South Kalimantan area, need to be more balanced. In this paper, we consider ADAptive SYNthetic (ADASYN) method for the sampling approach to balance the datasets. We found that by balancing the data, the performance of the classification method can improve about 2-4%. [ABSTRACT FROM AUTHOR]

Online education's popularity has been continuously increasing over the past few years. Many universities were forced to switch to online education as a result of COVID-19. In many cases, even after more than two years of online instruction, colleges were unable to resume their traditional classroom programs. A growing number of institutions are considering blended learning with some parts in-person and the rest of the learning taking place online. Nevertheless, many online education systems are inefficient, and this results in a poor rate of student retention. In this paper, we are offering a primary dataset, the initial implementation of a virtual teaching assistant named VTA-bot, and its system architecture. Our primary implementation of the suggested system consists of a chatbot that can be queried about the content and topics of the fundamental python programming language course. Students in their first year of university will be benefited from this strategy, which aims to increase student participation and involvement in online education. [ABSTRACT FROM AUTHOR]