Data Analysis of Coaching and Advising in Undergraduate Students. An Analytic Approach

Author(s):  
David Fonseca ◽  
José Antonio Montero ◽  
Mariluz Guenaga ◽  
Iratxe Mentxaka
2018 ◽  
Vol 7 (1) ◽  
pp. 19
Author(s):  
Rahmilla Chairani Puspita ◽  
Sri Suryoko

This study aims to determine the influence of advertising, price, and brand trust on Revlon cosmetics purchase decision of the undergraduate students of Diponegoro University. Type of research is explanatory research with the population undergraduate students of Diponegoro University, and the number of sample taken is 100. The data collection techniques are questionnaire, documents, and literature review. The sampling technique is purposive sampling. The data analysis techniques are correlation test data analysis, determination test, simple linear regression test, multiple linear regression test, t test, and F test using IBM SPSS (Statistical Product and Service Solutions) program version 16.0. Based on the results of the analysis, it is concluded there is a positive and significant influence between advertising, price, and brand trust on purchase decision partially and simultaneously (together). There are other factors that influence the Purchase Decision. Therefore it can be advised that Revlon has to evaluate their message in Revlon advertisement, increase the discount frequency on certain events, and add some product variants.


2016 ◽  
Vol 116 (8) ◽  
pp. 1678-1699 ◽  
Author(s):  
Asil Oztekin

Purpose The prediction of graduation rates of college students has become increasingly important to colleges and universities across the USA and the world. Graduation rates, also referred to as completion rates, directly impact university rankings and represent a measurement of institutional performance and student success. In recent years, there has been a concerted effort by federal and state governments to increase the transparency and accountability of institutions, making “graduation rates” an important and challenging university goal. In line with this, the main purpose of this paper is to propose a hybrid data analytic approach which can be flexibly implemented not only in the USA but also at various colleges across the world which would help predict the graduation status of undergraduate students due to its generic nature. It is also aimed at providing a means of determining and ranking the critical factors of graduation status. Design/methodology/approach This study focuses on developing a novel hybrid data analytic approach to predict the degree completion of undergraduate students at a four-year public university in the USA. Via the deployment of the proposed methodology, the data were analyzed using three popular data mining classifications methods (i.e. decision trees, artificial neural networks, and support vector machines) to develop predictive degree completion models. Finally, a sensitivity analysis is performed to identify the relative importance of each predictor factor driving the graduation. Findings The sensitivity analysis of the most critical factors in predicting graduation rates is determined to be fall-term grade-point average, housing status (on campus or commuter), and which high school the student attended. The least influential factors of graduation status are ethnicity, whether or not a student had work study, and whether or not a student applied for financial aid. All three data analytic models yielded high accuracies ranging from 71.56 to 77.61 percent, which validates the proposed model. Originality/value This study presents uniqueness in that it presents an unbiased means of determining the driving factors of college graduation status with a flexible and powerful hybrid methodology to be implemented at other similar decision-making settings.


2020 ◽  
Author(s):  
Itai Yanai ◽  
Martin Lercher

When analyzing the results of an experiment, the mental focus on a specific hypothesis might prevent the exploration of other aspects of the data, effectively blinding one to new ideas. To test this notion, we performed an experiment in which we asked undergraduate students to analyze a fictitious dataset. In addition to being asked what they could conclude from the dataset, half of the students were asked to also test specific hypotheses. In line with our notion, students in the hypothesis-free group were almost 5 times more likely to observe an image of a gorilla when simply plotting the data, a proxy for an initial step towards data analysis. If these findings are representative also of scientific research as a whole, they warrant concern about the current emphasis on hypothesis-driven research, especially in the context of information-rich datasets such as those now routinely created in the biological sciences. Our work provides evidence for a link between the psychological effect of selective attention and hypothesis-driven data analysis, and suggests a hidden cost to having a hypothesis when analyzing a dataset.


2020 ◽  
Vol 12 (25) ◽  
pp. 187-204
Author(s):  
Andrés Marcelo Bonilla-Marchán ◽  
Javier Alfredo Valdiviezo-Ortiz ◽  
Agnes Orosz ◽  
Efstathios Stefos

The aim of the present study was to identify the social characteristics of undergraduate students in Ecuador. Several analyses were carried out for this purpose; namely descriptive and multidimensional analyses. The descriptive analysis reveals the frequencies and percentages of the variables used in the study. The multidimensional analysis of multiple correspondences shows the differentiation criteria, and the hierarchical analysis classifies respondents based on their common characteristics. The results of this study reveal the characteristics of current undergraduate students in Ecuador and as such can help government and other higher educational authorities to develop future policies regarding undergraduate study in Ecuador.


2021 ◽  
Vol 1 (2) ◽  
pp. 391-401
Author(s):  
Muhammad Alfi Khoiri ◽  
Makomulamin Makomulamin ◽  
Ikhtiyaruddin Ikhtiyaruddin

Latar Belakang: Kasus kecelakaan kerja yang terjadi di PKS PT. Johan Sentosa dinyatakan bahwa pada tahun 2019 jumlah tenaga kerja sebanyak 148 orang dengan 83 kasus kecelakaan kerja Tujuan : Mengetahui faktor yang berhubungan dengan risiko kecelakaan kerja pada pekerja stasiun  Power House PKS PT. Johan Sentosa tahun 2020. Metode: Jenis penelitian observasi dengan pendekatan kuantitatif analitik, desain penelitian cross sectional dilakukan di PKS PT. Johan Sentosa, dan waktu penelitian ini dilaksanakan pada bulan April 2020. Populasi penelitian ini adalah seluruh operator stasiun Power House di PKS PT. Johan Sentosa yang berjumlah 36 orang. Teknik pengambilan sampel total sampling. Analisa data dilakukan menggunakan analisa univariat dan bivariat. Hasil: Diketahui SOP/prosedur kerja P value 0,015, kompetensi/keterampilan P value 0,002, kebisingan P value 0,026, masa kerja P value 0,043. Kesimpulan: Ada hubungan antara Standar Operasional Prosedur, kompetensi/keterampilan, kebisingin, masa kerja dengan risiko kecelakaan kerja pada pekerja statsiun power house PKS PT.Johan Sentosa. Saran: Perlu dilakukan upaya agar para pekerja mengikuti prosedur kerja yang sudah ditetapkan, meningkatkan keahlian kerja, penggunaan Alat Pelindung Diri dan  penempatan mereka sesuai dengan pengalaman atau masa kerja yang dilalui. Cases of work accidents that occured at PKS PT. Johan Sentosa stated that in 2019 the number of workers was 148 people with 83 cases of work accidents. The purpose of this research is to determine the factors related to the risk of work accidents in the Power House of PKS PT. Johan Sentosa workers 2020. This type of observational research with a quantitative analytic approach, cross sectional research design was carried out at PKS PT. Johan Sentosa, and the time of this research was conducted in April 2020. The populations were all Power House station operators at PKS PT. Johan Sentosa, amounting to 36 people. The sampling technique is total sampling. Data analysis was performed using univariate and bivariate analysis. Result shows It is known that SOP / work procedure is P value 0.015, competence/skill P value 0.002, noise P value 0.026, tenure P value 0.043.


2018 ◽  
Vol 6 (2) ◽  
pp. 305-310
Author(s):  
Antik Estika Hader

AbstrakPendidikan matematika anak usia dini merupakan salah satu mata kuliah wajib bagi mahasiswa S1 PGPAUD Universitas Dharmas Indonesia. Peneliti sekaligus sebagai dosen pengampu mata kuliah ini, menggunakan metode ceramah dan tanya jawab pada pertemuan ke satu sampai dengan ke empat. Namun menurut pengamatan peneliti, mahasiswa kurang begitu aktif untuk bertanya dan mengemukakan pendapat. Disatu sisi penulis menyadari potensi yang dimiliki mahasiswa sangat besar karena mahasiswa yang mengambil mata kuliah ini pada tahun ajaran 2016/2017, sebagian besar merupakan guru-guru PAUD yang tersebar di beberapa kecamatan di Kabupaten Bungo, Dharmasraya, Kerinci dan Sijunjung yang telah memiliki pengalaman minimal dua tahun mengajar. Penulis mencoba menerapkan model pembelajaran student facilitator dan explaining untuk pertemuan ke lima sampai dengan ketujuh, dan melakukan pengamatan untuk melihat pengaruhnya terhadap keaktifan mahasiswa. Desain penelitian menggunakan bentuk one group pretest-posttest design. Hipotesis diuji dengan menggunakan paired sampel t test dengan software SPSS 20. Penulis menggunakan taraf kepercayaan 95%. Dari hasil analisis data diperoleh nilai signifikansi sebesar 0.01. Sehingga dapat disimpulkan terdapat pengaruh penerapan model pembelajaran student facilitator and explaining pada mata kuliah pendidikan matematika anak usia dini terhadap keaktifan mahasiswa program studi PGPAUD Universitas Dharmas Indonesia.Kata Kunci: Explaining, Model Pembelajaran, PGPAUD, Student Facilitator.AbstractEarly childhood mathematics education is one of compulsory subjects for undergraduate students of PGPAUD Universitas Dharmas Indonesia. Researcher as well as lecturer pengampu this subject, using the method of lecturing and question and answer at the meeting to one to the fourth. However, according to researcher observations, students are less active to ask and express opinions. On the one hand the author realizes the potential of the students is very large because students who take this course in the academic year 2016/2017, most of the teachers PAUD spread across several districts in Bungo, Dharmasraya, Kerinci and Sijunjung who have minimal experience Two years of teaching. The author tries to apply student learning model facilitator and explaining for the fifth to seventh meeting, and make observations to see the effect on student activeness. The research design used a one-pretest-posttest design. The hypothesis was tested using paired sample t test with SPSS 20 software. The author used 95% confidence level. From the results of data analysis obtained value of significance of 0.01. So it can be concluded that there is influence of applying student learning model facilitator and explaining on early childhood mathematics education subject to the liveliness of PGPAUD students of Universitas Dharmas Indonesia.Keyword: Explaining, Learning Model, PGPAUD, Student Facilitator.


Retos ◽  
2020 ◽  
pp. 733-738
Author(s):  
Fábio Lemos ◽  
Luiz Gonçalves-Junior ◽  
José Eugenio Rodríguez-Fernández

Con este trabajo presentamos lo que denominamos ociomotricidad, neologismo acuñado a partir de las palabras ocio y motricidad, con explicita crítica a la lógica productivista y consumista, involucrando experiencias en prácticas lúdicas, de ocio, divertimiento, creación y contemplación llenas de sentido y con intencionalidad dirigida a lo buen vivir. Fundamentada en esa propuesta hicimos una intervención con dieciocho estudiantes de una disciplina del curso de pregrado en Educación Física de una Institución de Enseñanza de la Región Norte (interior) del Estado de São Paulo (Brasil), y de esa intervención hicimos una investigación profundizada con un grupo de cuatro estudiantes, os cuales fueran entrevistados. La investigación tuve como objetivo central comprender los procesos educativos movilizados con la intervención en ociomotricidad. Para el análisis de datos utilizamos del método Fenómeno Situado que nos posibilitó la formación das categorías: A) Convivencia y placer para la creación y B) La praxis con la ociomotricidad. Con base en estas consideramos que ocurriera desarrollo de procesos educativos de convivencia respetosa, cooperativa y de placer para la creación, pero con percepción de los cuatro estudiantes entrevistados de las eventuales dificultades para su efectividad en la escuela, todavía expresaran la intencionalidad de desarrollar praxis con la ociomotricidad, en busca de la transformación y humanización.Abstract. With this work we present what we call idlenessmotricity, neologism constructed from the words idleness and motricity, with an explicit criticism of the productivist and consumerist logic, involving experiences in playfulness, idleness, fun, creation and contemplation, full of meaning and intentionality and oriented towards living good. Based on this proposal, we conducted an intervention with eighteen students of a discipline of the undergraduate course in Physical Education from a Teaching Institution of the North (inland) Region of the State of São Paulo (Brazil), and from this intervention we did an in-depth investigation with a group of four students, who were interviewed. The main objective of the research was to understand the educational processes activated by an intervention with idlenessmotricity. For the data analysis we use the Phenomenon Located method, which enabled us to form the following categories: A) Coexistence and pleasure for creation; B) Praxis with the idlenessmotricity. Based on these, we considered that there would be a development of educational processes of respectful coexistence, cooperation, and pleasure for the creation; yet with the four interviewed students' perception of possible difficulties to its effectiveness in the school, they would still expressed the intention of developing praxis with idlenessmotricity, in search of transformation and humanization.


2007 ◽  
Vol 8 (1) ◽  
pp. 3-12
Author(s):  
David B. Kushner

DNA microarrays have significantly impacted the study of gene expression on a genome-wide level but also have forced a more global consideration of research questions. As such, it has become critical to introduce undergraduate students to genomics approaches to research. A challenge with performing a DNA microarray experiment in the teaching lab is determining the time required for the study and how to handle the voluminous data generated. At an unexpectedly low cost, a 6-week, project-based lab module has been developed that provides 3 weeks for wet lab (hands-on work with the DNA microarrays) and 3 weeks for dry lab (analyzing data, using databases to help with data analysis, and considering the meaning of data within the large dataset). Options exist for extending the number of weeks dedicated to the project, but 6 weeks is sufficient for providing an introduction to both experimental genomics and data analysis. Students indicate that being able to both perform array experiments and thoroughly analyze data enriches their understanding of genomics and the complexity of biological systems.


This chapter discusses the analysis of data in quantitative research and the most common strategies to follow. Undergraduate students in most programmes may not necessarily need to use advanced statistical analysis. This chapter takes the readers through parametric and non-parametric tests. Readers will be able to grasp measurement tests that are appropriate for several quantitative data analysis in research projects. The differences between parametric and non-parametric tests are examined and explored in some detail. The assumptions for parametric and non-parametric measures are also highlighted and relevant examples provided and should enable the reader to select appropriate measures for their research projects.


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