scholarly journals Curriculum Assessment of Higher Educational Institution Using Trace-segmented Clustering

2018 ◽  
Vol 20 (1) ◽  
pp. 33-48
Author(s):  
Satrio Adi Priyambada ◽  
Mahendrawathi ER ◽  
Bernardo Nugroho Yahya

Curriculum mining is research area that assess students’ learning behavior and compare it with the curriculum guideline. Previous work developed sequence matching alignment approach to check the conformance between students’ learning behavior and curriculum guideline. Considering only the sequence matching alignment is insufficient to understand the patterns of group of students. Another work proposed an approach by aggregating the students’ profile to represent students’ learning behavior and investigate the impact of the learning behavior to their learning performance. However, the aggregate profile approach considers the entire period of study rather than segmented period. This study proposes a methodology to assess students’ learning path with segmented period i.e. the semester of the related curriculum. The segmented-period profile generated would be the input for sequence matching alignment approach to assess the conformity of students’ behavior with the prior curriculum guideline. Real curriculum data has been used to test the effectivity of the methodology. The results show that the students can be grouped into various cluster per semesters that have different characteristic with respect to their learning behavior and performance. The results can be analyzed further to improve the curriculum guideline.

Author(s):  
Vladimir V. Klimov ◽  
Anastasia G. Merkulova

Introduction. The health care system in modern educational institutions requires a comprehensive approach to analyzing and evaluating the impact of environmental factors on the health of students, which is of priority importance for the personnel potential of military specialists. The aim of study is to research the influence of environmental factors of a Military University on the health of the future personnel potential of specialists in the armored vehicle service. Materials and methods. The study involved 234 cadets in the dynamics of training from 1st to 5th year. Every year, a social survey of students was conducted, daily caloric and energy consumption, training load and performance, extensive and intensive indicators of morbidity were calculated. Results. Changes in environmental factors in the Military University and the deterioration of the quality of life of cadets are significant factors in the formation of negative trends in their health. There is an unevenness in the values of environmental factors in different training courses, as well as a tendency to increase the overall incidence. Conclusions. There is a need for additional measures aimed at reducing the negative impact of environmental factors on the health of cadets, which should be implemented comprehensively at all levels and stages of training.


Entropy ◽  
2019 ◽  
Vol 21 (11) ◽  
pp. 1102 ◽  
Author(s):  
Jing Chen ◽  
Jun Feng ◽  
Jingzhao Hu ◽  
Xia Sun

Over the past few years, online learning has exploded in popularity due to the potentially unlimited enrollment, lack of geographical limitations, and free accessibility of many courses. However, learners are prone to have poor performance due to the unconstrained learning environment, lack of academic pressure, and low interactivity. Personalized intervention design with the learners’ background and learning behavior factors in mind may improve the learners’ performance. Causality strictly distinguishes cause from outcome factors and plays an irreplaceable role in designing guiding interventions. The goal of this paper is to construct a Bayesian network to make causal analysis and then provide personalized interventions for different learners to improve learning. This paper first constructs a Bayesian network based on background and learning behavior factors, combining expert knowledge and a structure learning algorithm. Then the important factors in the constructed network are selected using mutual information based on entropy. At last, we identify learners with poor performance using inference and propose personalized interventions, which may help with successful applications in education. Experimental results verify the effectiveness of the proposed method and demonstrate the impact of factors on learning performance.


Author(s):  
Steven Okamoto ◽  
Katia Sycara ◽  
Paul Scerri

Intelligent software personal assistants are an active research area with the potential to revolutionize the way that human organizations operate, but there has been little research quantifying how they will impact organizational performance or how organizations will or should adapt in response. In this chapter we develop a computational model of the organization to evaluate the impact different proposed assistant abilities have on the behavior and performance of the organization. By varying the organizational structures under consideration, we can identify which abilities are most beneficial, as well as explore how organizations may adapt to best leverage the new technology. The results indicate that the most beneficial abilities for hierarchical organizations are those that improve load balancing through task allocation and failure recovery, while for horizontal organizations the most beneficial abilities are those that improve communication. The results also suggest that software personal assistant technology will facilitate more horizontal organizations.


Author(s):  
Rui-Ting Huang ◽  
Chung-Long Yu

Although there is a plethora of mobile learning studies, relatively little attention has been paid to the roles of self-management of learning and personal learning initiative on mobile English learning outcomes. Accordingly, the primary purpose of this study is not only to examine the links between perceived flexibility advantage, self-management of learning, mobile English learning continuance intention and performance, but also to explore the moderating role of personal learning initiative in mobile language learning outcomes. A total of 323 undergraduate students with mobile English learning experience took part in this study. The partial least-squares structural equation modelling analysis and SPSS PROCESS (model 7) were utilised to assess the data. The study findings have not only indicated the perceived flexibility advantage and self-management of learning will have a positive influence on mobile English learning continuance intention and performance, but also revealed that mobile English learning continuance intention will mediate the link between perceived flexibility advantage and mobile English learning performance. Moreover, it has been found that personal learning initiative will play a moderating role in reinforcing the positive relationship between perceived flexibility advantage and mobile English learning continuance intention.


Author(s):  
Chih-Yueh Chou ◽  
Nian-Bao Zou

AbstractIn self-regulated learning (SRL), students organize, monitor, direct, and regulate their learning. In SRL, monitoring plays a critical role in generating internal feedback and thus adopting appropriate regulations. However, students may have poor SRL processes and performance due to their poor monitoring. Researchers have suggested providing external feedback to facilitate better student SRL. However, SRL involves many meta-cognitive internal processes that are hidden and difficult to observe and measure. This study proposed a SRL model to illustrate the relationship among external SRL tools, internal SRL processes, internal feedback, and external feedback. Based on the model, this study designed a system with SRL tools and open leaner models (OLMs) to assist students in conducting SRL, including self-assessing their initial learning performance (i.e. perceived initial performance and monitoring of learning performance) after listening to a teacher’s lecture, being assessed by and receiving external feedback from the OLM (i.e. actual performance) in the system, setting target goals (i.e. desired performance) of follow-up learning, conducting follow-up learning (i.e. strategy implementation), and evaluating their follow-up learning performance (i.e. perceived outcome performance and strategy outcome monitoring). These SRL tools also externalize students’ internal SRL processes and feedback, including perceived initial, desired, and perceived outcome performances, for investigation. In addition, this study explores the impact of external feedback from the OLM on students’ internal SRL processes and feedback. An evaluation was conducted to record and analyze students’ SRL processes and performance, and a questionnaire was administered to ask students about their SRL processes. There are three main findings. First, the results showed that students often have poor internal SRL processes and poor internal feedback, including poor self-assessment, inappropriate target goals, a failure to conduct follow-up learning, and a failure to achieve their goals. Second, the results revealed that the SRL tools and external feedback from the OLM assisted most students in SRL, including monitoring their learning performance, goal-setting, strategy implementation and monitoring, and strategy outcome monitoring. Third, some students still required further support for SRL.


2015 ◽  
Vol 206 (6) ◽  
pp. 447-455 ◽  
Author(s):  
Owen Price ◽  
John Baker ◽  
Penny Bee ◽  
Karina Lovell

BackgroundDe-escalation techniques are a recommended non-physical intervention for the management of violence and aggression in mental health. Although taught as part of mandatory training for all National Health Service (NHS) mental health staff, there remains a lack of clarity around training effectiveness.AimsTo conduct a systematic review of the learning, performance and clinical safety outcomes of de-escalation techniques training.MethodThe review process involved a systematic literature search of 20 electronic databases, eligibility screening of results, data extraction, quality appraisal and data synthesis.ResultsA total of 38 relevant studies were identified. The strongest impact of training appears to be on de-escalation-related knowledge, confidence to manage aggression and de-escalation performance (although limited to artificial training scenarios). No strong conclusions could be drawn about the impact of training on assaults, injuries, containment and organisational outcomes owing to the low quality of evidence and conflicting results.ConclusionsIt is assumed that de-escalation techniques training will improve staff's ability to de-escalate violent and aggressive behaviour and improve safety in practice. There is currently limited evidence that this training has these effects.


2021 ◽  
Vol 4 (2) ◽  
pp. 26-43
Author(s):  
Temitope J. Owolabi ◽  
Oluyemi T. Adeosun

In any organization, human resources stand as vital assets for success; these are to be highly valued in order to achieve the competitive edge. Therefore, human capital policies and practices should be tied to organizational goals. The impact of practices of HRM can be the channel that fuels sustained competitive advantage; therefore, enhancement of organizational performance should be the focus for an organization. Performance management comprises setting expectations, assessing behaviors and results of the employee, giving coaching and feedback, and performance evaluation over time to use in decision making. The aim is to line up individual efforts to achieve organizational goals. To this end, this study attempts to examine result-based management which is synonymous with performance management system, and how it drives employees’ productivity. Utilising the purposive sampling technique, staff within an educational institution were selected in Lagos. It was revealed that setting targets and performance standards would engender the desired productivity in employees. The study therefore recommends a comprehensive performance management system which should also be automated in order to capture key performance indicators of employees.


2020 ◽  
Vol 91 (3) ◽  
pp. 31301
Author(s):  
Nabil Chakhchaoui ◽  
Rida Farhan ◽  
Meriem Boutaldat ◽  
Marwane Rouway ◽  
Adil Eddiai ◽  
...  

Novel textiles have received a lot of attention from researchers in the last decade due to some of their unique features. The introduction of intelligent materials into textile structures offers an opportunity to develop multifunctional textiles, such as sensing, reacting, conducting electricity and performing energy conversion operations. In this research work nanocomposite-based highly piezoelectric and electroactive β-phase new textile has been developed using the pad-dry-cure method. The deposition of poly (vinylidene fluoride) (PVDF) − carbon nanofillers (CNF) − tetraethyl orthosilicate (TEOS), Si(OCH2CH3)4 was acquired on a treated textile substrate using coating technique followed by evaporation to transform the passive (non-functional) textile into a dynamic textile with an enhanced piezoelectric β-phase. The aim of the study is the investigation of the impact the coating of textile via piezoelectric nanocomposites based PVDF-CNF (by optimizing piezoelectric crystalline phase). The chemical composition of CT/PVDF-CNC-TEOS textile was detected by qualitative elemental analysis (SEM/EDX). The added of 0.5% of CNF during the process provides material textiles with a piezoelectric β-phase of up to 50% has been measured by FTIR experiments. These results indicated that CNF has high efficiency in transforming the phase α introduced in the unloaded PVDF, to the β-phase in the case of nanocomposites. Consequently, this fabricated new textile exhibits glorious piezoelectric β-phase even with relatively low coating content of PVDF-CNF-TEOS. The study demonstrates that the pad-dry-cure method can potentially be used for the development of piezoelectric nanocomposite-coated wearable new textiles for sensors and energy harvesting applications. We believe that our study may inspire the research area for future advanced applications.


2005 ◽  
pp. 53-68 ◽  
Author(s):  
R. Kapeliushnikov ◽  
N. Demina

The paper provides new survey evidence on effects of concentrated ownership upon investment and performance in Russian industrial enterprises. Authors trace major changes in their ownership profile, assess pace of post-privatization redistribution of shareholdings and provide evidence on ownership concentration in the Russian industry. The major econometric findings are that the first largest shareholding is negatively associated with the firm’s investment and performance but surprisingly the second largest shareholding is positively associated with them. Moreover, these relationships do not depend on identity of majority shareholders. These results are consistent with the assumption that the entrenched controlling owners are engaged in extracting "control premium" but sizable shareholdings accumulated by other blockholders may put brakes on their expropriating behavior and thus be conductive for efficiency enhancing. The most interesting topic for further more detailed analysis is formation, stability and roles of coalitions of large blockholders in the corporate sector of post-socialist countries.


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