Continuous Improvement System on Outcome Planning and Assessment: Case Study of UFE

Munkhzaya Batbaatar(Munkhzaya Batbaatar ),Saranchimeg Nasanjargal(Saranchimeg Nasanjargal ) 적정기술학회 2023 적정기술학회지(Journal of Appropriate Technology) Vol.9 No.3

Purpose of Research: The move to outcome-based education necessitates a process of continuous improvement for academic programs including outcome-based planning, implementation, and assessment. UFE has been demonstrating a commitment to academic excellence through emphasizing outcome-based education since 2009. To do so, the university initiated and developed undergraduate program policy and regulations that indicate learning outcomes at each level including the course and programs. In other words, it shows how course learning outcomes support the programs and we constantly try to measure and evaluate them accordingly. Our learning outcomes model is based on a three-level hierarchically structured definition of learning outcomes that consistently apply to both the entire undergraduate program as well as to each individual course and faculty use this model to design, monitor, and revise both the entire curriculum as well as each individual course on an ongoing basis. As part of this development, the program learning outcomes are being integrated into the information system to link each course's learning outcomes. The new system will make it possible to perform a detailed data analysis to directly assess the program learning outcomes. The overall process guides the university in planning, improving, implementing, and monitoring based on stakeholder satisfaction and performance analysis. This research focuses on quantitative and qualitative analysis of program learning outcomes based on student performance and stakeholder assessment to determine educational achievement, and which can be used in the decision-making about developing or updating programs. 1. During the planning process, we developed a curriculum matrix mapping program learning outcomes onto each of the individual courses and its tasks that would be automated by our information system. So, based on this data, to ensure that all outcomes are covered in at least one course, and preferably more than one. 2. Reviewing the assessment results of determined learning outcomes and its performance. Additionally, Student self assessment is used for this investigation. 3. As well as stakeholders’ assessments are designed and used as significant indicators of educational achievement. So, the gap analysis was employed to examine differences between student performance and the stakeholders’ assessments. 4. To review external stakeholders’ assessment which learning outcomes are preferred or not and their expectations are met. Methods of Research: The research employs a mix of quantitative and qualitative data collection methods to comprehensively assess program education objectives (PEO) and program learning objectives (PLO) at UFE. The following research methods are used in this research. • Quantitative Analysis: Quantitative data from assessments and student performance is statistically analyzed to measure the achievement of program learning outcomes. This includes descriptive statistics, inferential statistics, and potentially regression analysis to identify significant factors influencing outcomes. • Qualitative Analysis: Qualitative data, including stakeholder assessments and student self-assessment narratives, is analyzed using thematic analysis or content analysis to identify recurring themes, patterns, and insights. • Gap Analysis: The gap analysis assesses the differences between student performance and stakeholder assessments, high lighting areas where perceptions may differ. • External Stakeholder Assessment Review: The preferences and expectations of external stakeholders are analyzed to determine which learning outcomes are preferred and if they align with UFE's educational objectives. • By employing these research methods, this study aims to contribute valuable insights into the continuous improvement system of UFE and provide evidence-based recommendations for enhancing the outcome planning and assessment processes within the institution.

HOW TO KNOW FINANCIAL CRISIS IN MONGOLIAN ECONOMIC EVIDENCE

Munkhzaya Batbaatar 한국로고스경영학회 2013 한국로고스경영학회 학술발표대회논문집 Vol.2013 No.5

Evaluation of ankle joint plantar and dorsi flexions in mechanism of lateral anakle sprain

Myagmarbayer Batbaatar,Tserenchimed Purevsuren,Kyungsoo Kim(김경수),Yoon Hyuk Kim(김윤혁) 대한기계학회 2015 대한기계학회 춘추학술대회 Vol.바이오공학 No.-

Creation on an effective deposit insurance system in Mongolia

Munkhzaya Batbaatar 한국로고스경영학회 2010 로고스경영연구 Vol.8 No.3

This article deals with some aspects to Mongolian financial systems and law (Guarantee of Deposit in bank). Because from 2008­10 decline deposit 20% per month. Most banks take high liquidity risk. So our government issued law “Guarantee of Deposit in bank”. It was implicit deposit insurance. This law made financial stability or instability. Therefore 2 banks run. Because government takes 100% risk, a well­designed deposit insurance system will provide incentives for citizens to keep the financial systems and poor designed deposit insurance system can foster a financial instability. The paper is divided as following: Conceptual frame work about Deposit insurance systems and Bank run International deposit insurance system Legal environment about deposit guarantee in Mongolia How to establish effective deposit insurance systems Variants and ideas suggested by author are attracting among researchers, politicians and other wide range of people. So our country must establish effective deposit insurance system.

Valuation Methodologies and Estimation of Mongolian Commercial Banks from a Brand Value Perspective

Tungalag J,Batbaatar Ch,Erdenebat M,Ankhbayar Ch 한국무역연구원 2019 무역연구 Vol.15 No.3

Purpose - The main purpose of this research work is to study about the brand valuation methodologies and to estimate Mongolian top commercial banks’ brand values by using the superior methodology. Design/Methodologies/approach - This research is exercised on the last three years’ annual financial reports of Khan Bank, Trade and Development Bank and Golomt Bank, which are top commercial banks of Mongolia. This research used Interbrand methodology with its “S” curve and Hirose methodologies to estimate their respective brand values from 2016 to 2018. Findings - The results of our research paper are the following: (1) Brand strength of Khan Bank, TDB and Golomt Bank registered at 77, 55 and 54, respectively; (2) The discount rate of the commercial banks under study was estimated at between 7.58 and 8.92; (3) The brand value of TDB was estimated at 243.2 billion MNT, and Khan Bank’s brand value was 131.8 billion MNT, while the brand value of Golomt Bank was 44.3 billion MNT in 2018. The brand value of the three banks was unequal for the last three years, due to differences in factors, such as changing risk funds of the selected banks. Research implications or Originality - Researchers predicted that Khan Bank’s brand value to get the highest score due to its total assets, number of departments, accumulated assets, and margin level. However, the result was different from our prediction and Trade and Development Bank has the highest brand value because of its high brand value. Furthermore, by estimating the brand value of local commercial banks for the first time, we are enabling commercial banks to compare their results with competitors and it will influence positively to the development of the banks and banking sector.

A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns

Batsuren, Khuyagbaatar,Batbaatar, Erdenebileg,Munkhdalai, Tsendsuren,Li, Meijing,Namsrai, Oyun-Erdene,Ryu, Keun Ho Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.5

Keyphrase extraction is one of fundamental natural language processing (NLP) tools to improve many text-mining applications such as document summarization and clustering. In this paper, we propose to use two novel techniques on the top of the state-of-the-art keyphrase extraction methods. First is the anti-patterns that aim to recognize non-keyphrase candidates. The state-of-the-art methods often used the rich feature set to identify keyphrases while those rich feature set cover only some of all keyphrases because keyphrases share very few similar patterns and stylistic features while non-keyphrase candidates often share many similar patterns and stylistic features. Second one is to use the dependency graph instead of the word co-occurrence graph that could not connect two words that are syntactically related and placed far from each other in a sentence while the dependency graph can do so. In experiments, we have compared the performances with different settings of the graphs (co-occurrence and dependency), and with the existing method results. Finally, we discovered that the combination method of dependency graph and anti-patterns outperform the state-of-the-art performances.

Literature review: Factors which influence the coverage of social health insurance in Mongolia

Javkhlahbayar Dorjdagva,Enkhjargal Batbaatar,Amir Shmueli 동중앙아시아경상학회 2011 한몽경상학회 학술대회 Vol.2011 No.1

A Dependency Graph-Based Keyphrase Extraction Method Using Anti-patterns

( Khuyagbaatar Batsuren ),( Erdenebileg Batbaatar ),( Tsendsuren Munkhdalai ),( Meijing Li ),( Oyun-erdene Namsrai ),( Keun Ho Ryu ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.5

Keyphrase extraction is one of fundamental natural language processing (NLP) tools to improve many textmining applications such as document summarization and clustering. In this paper, we propose to use two novel techniques on the top of the state-of-the-art keyphrase extraction methods. First is the anti-patterns that aim to recognize non-keyphrase candidates. The state-of-the-art methods often used the rich feature set to identify keyphrases while those rich feature set cover only some of all keyphrases because keyphrases share very few similar patterns and stylistic features while non-keyphrase candidates often share many similar patterns and stylistic features. Second one is to use the dependency graph instead of the word co-occurrence graph that could not connect two words that are syntactically related and placed far from each other in a sentence while the dependency graph can do so. In experiments, we have compared the performances with different settings of the graphs (co-occurrence and dependency), and with the existing method results. Finally, we discovered that the combination method of dependency graph and anti-patterns outperform the state-of-the-art performances.

Study on Community Earthquake Preparedness in Urban Areas of Mongolia

Bazarragchaa Duudgai,Amarjargal Batbaatar 위기관리 이론과 실천 2022 Disastronomy Vol.5 No.2

Mongolia is in a highly active seismic zone in Central Asia. Historically, earthquakes with a magnitude of M>8 have occurred four times and M>7 more than 20 times in the 20th century. The frequency of earthquakes with M>=3.5 is constantly increasing. In 2021, the number of earthquakes in Mongolian territory reached 254, six times more than the average number of the last decade [1]. Simultaneously, Mongolia is experiencing rapid urbanization. 6.1 percent of the total Mongolian population resided in the cities in 1933 while commencing the transfer of nomadic husbandry lifestyles to settlement. The percentage of the urban population dramatically gained to 69.4 in 2021. Urbanization increases the disaster exposure of the communities in cities at high risk of earthquakes. Community earthquake preparedness, mainly urban community preparedness, is vital to prevent consequences caused by possible earthquake occurrences. Thus, we aimed to assess community earthquake preparedness in urban areas via an online survey based on voluntary participation. It covers the contents of disaster risk reduction knowledge, awareness, and practical skills; disaster preparedness habits and behavior change; and readiness for earthquake early warning signals for community disaster preparedness. The results state that the responses “Very High” and ‘High’ occupy only 23.5 percent of all respondents. Community disaster preparedness in cities is not adequate in Mongolia.

Investigation of ligament strains in lateral ankle sprain using computational simulation of accidental injury cases

Tserenchimed Purevsuren,Myagmarbayar Batbaatar,김경수,박원만,장승호,김윤혁 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.7

In order to clearly understand the injury mechanism of the Lateral ankle sprain (LAS), we purposed to evaluate the ligament strains in the human ankle joint during the real accidental events of LAS. Three different accidental ankle sprain cases were selected based on their reported motions, which are rarely captured under laboratory settings. The ligament strains were investigated using a computational ankle joint model based on the kinematic data from these case reports. Our result revealed that the excessive ankle inversion coupled with slight internal rotation could lead to LAS. Therefore, the ankle inversion and internal rotation should be primarily considered in LAS studies. This study quantitatively contributes to our understanding of the LAS mechanism in sport and clinical research.