On the computation of the maximal order in a dedekind domain.

Bei der Untersuchung zweiklassiger Geschlechter von Einheitsformen über total reellen algebraischen Zahlkörpern [18] trat das Problem auf, alle solche Körper der Grade n = 5, 6, 7, 8 zu bestimmen, deren Diskriminanten d unterhalb gewisser gegebener Schranken liegen. Die hierfür von Hunter [14] für den Körpergrad n = 5 entwickelte Methode wird zunächst auf alle Körpergrade verallgemeinert und verbessert. Für n = 6, 8 führen auftretende Teilkörper zu Komplikationen. In diesen Fällen sind Relativerweiterungen mit kleiner Norm der Relativdiskriminante zu studieren. Für n = 6 erhält man als Ergebnis im wesentlichen den Hauptsatz aus [15] (das heißt die Minimaldiskriminante für total reelle Körper sechsten Grades), der dort falsch bewiesen ist. Bei der Untersuchung relativ-kubischer Erweiterungen von Q(|/5 ), QQ/2 ) im dritten Abschnitt fallen als Nebenprodukt unabhängige Einheiten sowie Klassenzahlen einer Reihe total reeller Körper vierten Grades ab, die Q(J/5 ) oder Q(}/2 ) als Teilkörper enthalten. Da Zahlenmaterial aus höheren Körpern im allgemeinen willkommen ist, sind diese Ergebnisse in einem Anhang zusammengefaßt. Die erforderlichen umfangreichen Rechnungen wurden zunächst auf der Anlage Siemens 4004/55 des Rechenzentrums der Universität zu Köln und später über die Datenstation IBM 2780 des Mathematischen Instituts der Universität zu Köln an der IBM 370/165 der Kernforschungsanlage Jülich durchgeführt. Eine Beschreibung von verwendeten Verfahren und benutzten Programmen erscheint in Computing [19].

Berechnung kleiner Diskriminanten total reeller algebraischer Zahlkörper.

This paper investigates students’ success at Pangasinan State University by identifying patterns and models that might be used to correctly classify and predict if a student will transfer or finish their studies. In this study, three categorical variables or attributes and one continuous variable were considered independent variables due to the availability of the data. The results from the binary logistic regression model with the high school general average and course as independent variables (Model 3), and the decision tree model with transition gain as a splitting criterion were fitted to the dataset to generate a model that possibly best describes the students’ mobility in Pangasinan State University Urdaneta City Campus. The decision tree model is better than the binary logistic regression model based on accuracy, AUC, and sensitivity values. This implies that the decision tree model is better at correctly classifying observations as "transferred" than Model 3. Thus, it was concluded that the decision tree model with information gain as the splitting criterion best describes the mobility of PSU students. The results of this paper can be used for school administration involving students’ mobility/success, particularly in classifying whether a student will transfer based on other.

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Predicting Students’ Mobility using Different Statistical Tools : Basis for Students’ Success

Knowledge sharing is crucial for students’ learning process, yet can be an issue for some reasons, as students often refuse to share their knowledge with others. There are various personal, social and technological factors that can affect students’ knowledge sharing behaviour on social media. Hence, this study aims to investigate the factors affecting knowledge sharing behaviour among postgraduate students in Malaysia through the lens of Theory of Planned Behaviour Model and Social Cognitive Theory. This study adopted a quantitative research design and used a survey questionnaire via Google Form as its data collection technique. Simple random sampling was used, and data was collected from 406 postgraduate students in Malaysia, including from Sabah and Sarawak. Data were analysed using SPSS to construct the findings. The findings demonstrate that all independent variables (usefulness, ease of access, reputation enhancement, enjoyment in helping, sense of belonging, social interaction, trust and reciprocity) significantly affect postgraduate students’ knowledge sharing behaviour on social media. Sense of belonging and reciprocity have a strong positive relationship with knowledge sharing behaviour. Whereas, usefulness, ease of access, reputation enhancement, enjoyment in helping, trust and social interaction have a moderate positive relationship with knowledge sharing behaviour. The findings of this study may have various implications for higher education institutions (HEI) and corporate organisations, where knowledge sharing behaviour is essential for academic performance and organisational success. However, this study only used the questionnaire given to obtain data from the respondents without asking for further clarifications or any additional comments from them. Although it is convenient and easy to analyse, the questionnaire does not allow researchers to gain a deeper understanding of respondents’ motivations to share their knowledge on social media. Therefore, future studies may include qualitative research such as structured observation and interviews. A longitudinal study is also recommended for this future study.

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Examining factors affecting knowledge sharing behaviour on social media of postgraduate students in malaysia

Research reveals that several factors affect the quality of learning environments. Therefore, this study investigated significant factors that affect postgraduate students’ learning environment with regard to graduate on time (GOT). The study was conducted in a private Malaysian university involving 50 PhD students. Data were collected via tests, a questionnaire, and focus-group interviews. The findings revealed that critical reading skills and supervisory factors were significant factors affecting students’ ability to GOT. This implies that universities should integrate early intervention training programs to hone students’ critical literacy skills and provide effective supervisory practices for a sustainable quality postgraduate learning environment.
Keywords: postgraduate students; graduate-on-time; quality learning environment; influencing factors
eISSN: 2398-4287 © 2023. The Authors. Published for AMER & cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), and cE-Bs (Centre for Environment-Behaviour Studies), College of Built Environment, Universiti Teknologi MARA, Malaysia..
DOI: https://doi.org/10.21834/ebpj.v8i24.4649

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Sustaining Students’ Quality Learning Environment by Reviewing Factors to Graduate-on-Time: A case study

Abstract:  The information age witnessed the democratisation of education with an exponential growth in the enrolment of postgraduate students in almost all universities around the world. However, high attrition and low completion rates among students have been an immense threat to the key performance of the university system. The main purpose of this study was to investigate the influence of institutional support, supervisory practices, and students’ self-management and research skills on postgraduate students’ motivation to graduate on time (GOT). The data were collected from 191 postgraduate students from three universities in Malaysia using a survey questionnaire. The quantitative data were analysed using the PLS-SEM approach. The results revealed that research skills, institutional support and self-management skills significantly influenced the postgraduate students’ motivation to GOT. Furthermore, research skills were identified as the strongest predictor of the motivation to GOT. Additionally, research skills mediated the relationships between institutional support, students’ self-management skills and postgraduate students’ motivation to GOT. However, supervisory practices toward GOT were not supported either by direct or indirect effect. The study has far reaching implications for the postgraduate students, supervisors, and institutions of higher learning. 
  
 

https://myjms.mohe.gov.my/index.php/AJUE/article/download/17169/8950

Kaur Gurnam

Papers

Key Factors Influencing Graduation on Time Among Postgraduate Students: A PLS-SEM Approach

The minimum discriminant of sixth degree totally real algebraic number fields and other results