Development of Core Teaching Competency Diagnostic Indicators for Future Education of Universities

2021 ◽  
Vol 27 (4) ◽  
pp. 1221-1248
Author(s):  
Eun Hee Kim ◽  
Sang Ah Park ◽  
Sung Tae Lim
Keyword(s):  
2020 ◽  
Vol 26 (2) ◽  
pp. 288-293
Author(s):  
Codrin-Leonard Herţanu

AbstractOur contemporary world is on the verge of crucial changes of an unparalleled pace. The ‘technological changeover’ is the new paradigm caused by the unprecedented evolution of the disruptive technologies. The present world has the tendency to evolve at least exponential, therefore future educational environment is fairly different than its present layout. An entire array of nowadays studies widely recognizes that the progress of the disruptive technologies will pose a meaningful impact over the educational system evolution. Among the most spectacular technologies with disruptive features we should encounter Artificial Intelligence, Blockchain Technology, Cloud Computing, and the like. In an era of technological disruption the education is seen as the new currency. With the help of Artificial Intelligence, for instance, the education system could track how people learn from kindergarten to retirement. Besides, the technology domain will move the centre of gravity from the institutional area to that of the education’s beneficiaries, as we might expect that they will recruit and employ the needed teacher staff, not the institutions. Moreover, the education’s recipients will be the main creators of tomorrow’s professions and within their community the overarching events will happen and the main decisions will be taken in the educational domain.


Agrotek ◽  
2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Fitryanti Pakiding ◽  
Dariani Matualage

<em>The State University of Papua (UNIPA) provides human resources for agricultural sector in Tanah Papua through the Department of Agricultural and Agricultural Technology (FAPERTEK). However, in the process of generating these human capitals, many of its alumni could not finish their study within the targeted time frame designed by curriculum used in this department. Thus, this research aims for understanding factors that influencing the study time of FAPERTEK-UNIPA�s alumni. Study time data was obtained through a census from secondary data whereas evaluation of the study time was conducted through a survey to alumni. The evaluation was focus on two sub-systems:� student and the interaction between students and faculties. The result shows that in general alumni at the bachelor (S-1) level and at the diploma (D-3) level finished their study more than 10 semesters and 7 semesters consecutively. Financial problem, difficult and lengthy research topic, communication problem with advisor, many re-taking classes, health problem as well as personal problems were among the reasons for those alumni whose study time exceeds the minimum time as indicated by the curriculum. Academic advisors who are expected to assist students to be able to finish their study within the allotted time have not performed efficiently according to some of respondents. Information provides through this research is expected to be beneficial for enhancing current and future education system in this department.</em>


2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Nur Raihan Ismail ◽  
Noor Aman Hamid

Introduction: The prevalence of obesity has been rising, adding to morbidity and mortality. As the proportion of elderly aged 60 years and above grows, so too the prevalence of obesity among this population. Obesity in the elderly is a rapidly growing public health concern as it contributes to significant changes in the health of older people. Objective: This review aims to assess the contributory factors for obesity in the elderly over the past decade. Methods: A literature search was conducted. The search was restricted to articles written in the English language published from 2008 to 2018. Qualitative studies were excluded. Results: A total of 19 full articles were retrieved, of which 18 cross-sectional and one cohort were included. The contributory factors were divided into three components: (a) socio demographic characteristics, (b) medical history and dietary factors and (c) environmental factors. Conclusions: This review informs an emerging knowledge regarding contributory factors for obesity and has implications for future education and program intervention in fighting obesity in the elderly.


Author(s):  
Sofia Moya ◽  
Mar Camacho

AbstractLearning innovation for future education often includes digital approaches to enhance learning and to contribute to the development of twenty-first-century skills. There is evidence that mobile learning provides positive outcomes. However, there is a recognized lack of research in the field of frameworks and models that contributes to highlighting mobile learning rewards. This study aims to investigate the main characteristics of a strategic framework for the adaption and sustainable use of mobile learning. This study is based on a systematic review of 15 investigations published between 2009 and 2018. An adaptation of the strategic management framework by Jauch and Glueck (Business policy and strategic management, McGraw-Hill, London, 1988) was developed to show the results. The framework has a pedagogical foundation. Leaders, teachers, learners, families, and community members are identified as the key pillars upholding and maximizing mobile learning. The proposed framework is envisaged to serve as a guide for the educational community in implementing sustainable mobile learning.


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