scholarly journals The Empirical Analysis of Industrial Work Challenges in the Industrial Revolution 5.0 Towards a Grade Point Average (GPA) for Electronic Engineering Education Students

2021 ◽  
Vol 17 (09) ◽  
pp. 21
Author(s):  
Hendra Hidayat ◽  
Elfi Tasrif ◽  
Putra Jaya ◽  
Muhammad Anwar ◽  
Thamrin Thamrin ◽  
...  
Keyword(s):  
Engineering Education ◽  
Grade Point Average ◽  
Engineering Students ◽  
Industrial Revolution ◽  
Work Motivation ◽  
Work Readiness ◽  
Education Students ◽  
Grade Point ◽  
Industrial Work ◽  
Electronic Engineering

This study aims to analyze the challenges of industrial work in the industrial revolution 5.0 towards the grade point average (GPA) for electronic engineering education students. This study was conducted in accordance with the development of the industrial world with the entry of the 5.0 industrial revolution and the demands of the world of education that must be met to improve the quality of graduates. The research objects are Electronics Engineering Students’. Sampling in this study uses the Slovin formula. A total of 75 students were involved in this study, with a sample of 43 people. To analyze the research data uses SPSS Version 20. The result shows that (1) industrial work motivation has a positive and significant on students’ grade point average (GPA) of electronics engineering students’ (2) work readiness in the industry has a positive and significant on students’ grade point average (GPA) of electronics engineering students’ (3) industrial work motivation and work readiness in the industry together have a significant on students’ grade point average (GPA) of electronics engineering students’.

scholarly journals Differential associations of neurobehavioral traits and cognitive ability to academic achievement in higher education

2019 ◽  
Author(s):  
Graham Pluck
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Psychological Distress ◽  
Grade Point Average ◽  
Engineering Students ◽  
Executive Dysfunction ◽  
Grade Point ◽  
Strong Correlate ◽  
University Level ◽  
Current Psychological

BackgroundPeople vary between each other on several neurobehavioral traits, which may have implications for understanding academic achievement.MethodsUniversity-level Psychology or Engineering students were assessed for neurobehavioral traits, intelligence, and current psychological distress. Scores were compared with their grade point average (GPA) data.ResultsFactors associated with higher GPA differed markedly between groups. For Engineers, intelligence, but not neurobehavioral traits or psychological distress, was a strong correlate of grades. For Psychologists, grades were not correlated with intelligence but they were with the neurobehavioral traits of executive dysfunction, disinhibition, apathy, and positive schizotypy. However, only the latter two were associated independently of psychological distress. Additionally, higher mixed-handedness was associated with higher GPA in the combined sample.ConclusionsNeurological factors (i.e., neurobehavioral traits and intelligence), are differentially associated with university-level grades, depending on the major studied. However, mixed-handedness may prove to be a better general predictor of academic performance across disciplines.

scholarly journals Supervised Learning Applied to Graduation Forecast of Industrial Engineering Students

2022 ◽  
Vol 11 (1) ◽  
pp. 325-337
Author(s):  
Natalia Gil ◽  
Marcelo Albuquerque ◽  
Gabriela de
Keyword(s):  
Machine Learning ◽  
High School ◽  
Logistic Regression ◽  
Supervised Learning ◽  
Grade Point Average ◽  
Engineering Students ◽  
Learning Algorithm ◽  
Industrial Engineering ◽  
Machine Learning Algorithm ◽  
Grade Point

<p style="text-align: justify;">The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.</p>

Evaluation of TAPS Packages

2010 ◽  
pp. 128-147
Author(s):  
Manjit Singh Sidhu
Keyword(s):  
Problem Solving ◽  
Learning Styles ◽  
Grade Point Average ◽  
Engineering Students ◽  
Target Population ◽  
Grade Point ◽  
Slow Learners ◽  
Undergraduate Engineering ◽  
The Third ◽  
Engineering Mechanics

The evaluation was carried out to examine the distribution of learning styles (discussed in Chapter 2) of the third year undergraduate engineering students and suggest effective problem solving approaches that could increase the motivation and understanding of slow learners at UNITEN. For this study, a sample target population of 60 third year undergraduate engineering students who had taken the Engineering Mechanics subject was tested. These students were selected based on their second year grade point average (GPA) of less than 2.5 as this study emphasizes on slow learners.

scholarly journals THE PROFILE OF STUDENTS' LEARNING STYLES AND THEIR EFFECTS ON GRADE POINT AVERAGE (GPA) ACHIEVEMENT

EDUTECH ◽  
2016 ◽  
Vol 15 (2) ◽  
pp. 188
Author(s):  
Natalia Rosa Keliat
Keyword(s):  
Learning Styles ◽  
Grade Point Average ◽  
Learning Style ◽  
Biology Education ◽  
Education Students ◽  
Auditory Learning ◽  
Grade Point ◽  
Personal Learning ◽  
Kinesthetic Learning ◽  
One Way Anova

Abstract. Learning style is one of the important factors  needed to absorb, store and process the new information. This research is a study to see the profile and percentage of studenst learning styles of SWCU Biology Education students and the influence of different learning styles on the GPA obtained. Researcher got the data of  students’ learning styles by using questionnaire.  The statistical procedures employed in this study were one-way ANOVA. The results showed  that the largest percentage of learning styles that were used  by the students of biology education were auditory learning styles by 32% and the VAK (Visual Auditory Kinesthetic) learning style was the least used by education students by 2%. The analysis of the percentage of learning styles showed that 72% of students with auditory learning styles reached a satisfactory category until magna cum laude, but the percentage of students that used VAK (Visual Auditory Kinesthetic ) learning styles only reached satisfying GPA level. Statistical test results in this study demonstrated that the use of learning styles did not give significantly different effect on the students’ GPA.Keywords: Personal Learning Styles, Grade Point Average  Abstrak. Gaya belajar adalah salah satu faktor penting yang diperlukan untuk menyerap, menyimpan dan memproses informasi baru. Penelitian ini adalah suatu penelitian untuk melihat profil dan persentase gaya belajar mahasiswa pendidikan biologi UKSW serta pengaruh gaya belajar yang berbeda terhadap indeks prestasi kumulatif yang diperoleh. Peneliti mendapatkan data gaya belajar mahasiswa dengan menggunakan kuesoner (angket). Prosedur statistik yang digunakan dalam penelitian ini adalah one way ANOVA. Hasil penelitian menunjukkan  bahwa persentase gaya belajar terbesar yang digunakan mahasiswa pendidikan biologi untuk belajar adalah gaya belajar auditorik sebanyak 32%, Persentase gaya belajar yang paling sedikit digunakan oleh mahasiswa pendidikan adalah gaya belajar VAK (Visual Auditorik Kinestetik) sebanyak 2%. Analisis persentase gaya belajar menunjukkan persentase mahasiswa pendidikan biologi dengan gaya belajar auditorik adalah yang terbanyak memiliki IPK yang termasuk dalam kategori memuaskan sampai magna cum laude sebesar 72%, namun ternyata persentase mahasiswa dengan gaya belajar VAK (Visual Auditorik Kinestetik) tidak mencapai IPK memuaskan, dan hanya mencapai level kurang. Hasil uji statistik dalam penelitian ini menunjukkan penggunaan gaya belajar tidak memberikan pengaruh yang berbeda secara signifikan terhadap indeks prestasi kumulatif mahasiswa.Kata Kunci : Gaya Belajar, Indeks Prestasi Kumulatif

scholarly journals Adversity Quotient Mahasiswa Pendidikan Matematika dan Keterkaitannya dengan Indeks Prestasi Kumulatif

2019 ◽  
Vol 8 (1) ◽  
pp. 119-130
Author(s):  
Eva Mulyani ◽  
Setya Wahyuningsih ◽  
Ike Natalliasari
Keyword(s):  
Data Analysis ◽  
Mathematics Education ◽  
Grade Point Average ◽  
Significant Relationship ◽  
Research Data ◽  
The Other ◽  
Education Students ◽  
Grade Point ◽  
Correlational Method ◽  
Academic Year

AbstrakTujuan penelitian ini adalah untuk mengetahui Adversity quotient mahasiswa pendidikan matematika angkatan 2015 dan mengetahui ada atau tidak adanya keterkaitan antara Adversity quotient dengan Indeks Prestasi Kumulatif (IPK) mahasiswa pendidikan matematika angkatan 2015. Penelitian ini merupakan penelitian deskriftif korelatif. Menggunakan metode korelasional yang tujuannya untuk menyelidiki sejauh mana variasi pada satu variabel berkaitan dengan variabel yang lainnya. Berdasarkan hasil analsis data penelitian, bahwa tingkat Adversity quotient (AQ) mahasiswa jurusan pendidikan matematika FKIP Universitas Siliwangi angkatan 2015 secara umum berada pada kategori AQ sedang (camper). Sebesar 66% mahasiswa memiliki AQ sedang, dan umumnya memiliki IPK dengan predikat sangat memuaskan. 1 orang mahasiswa memiliki IPK dengan predikat pujian dan memiliki AQ tinggi (climber), 1 orang mahasiswa memiliki IPK dengan predikat pujian namun AQ nya berada pada kategori peralihan dari quitter ke camper, 14 orang mahasiswa memiliki IPK dengan tidak memiliki predikat namun AQ nya sedang (camper), dan 2 orang mahasiswa memiliki IPK dengan tidak memiliki predikat namun AQ nya berada pada kategori peralihan dari camper ke climber. Serta terdapat keterkaitan yang signifikan antara Adversity quotient dengan Indeks Prestasi Kumulatif. Adversity Quotient of Mathematics Education Students and Its Correlation with Their Grade Point AverageAbstractThe purpose of this research was to find out the 2015 adversity quotient of mathematics education students in academic year 2015 and find out whether there was link between Adversity quotient and the 2015 Grade Point Average (GPA) of this students or not. This research was descriptive correlative research. Using a correlational method which aims to investigate to what extent variations on one variable are related to the other variables. Based on the results of research data analysis, the level of Adversity quotient students majoring in mathematics education FKIP Siliwangi University class of 2015 in general is in the category of moderate AQ (camper). More precisely 66% of students have moderate AQ, and generally have a very satisfying GPA. One student has a GPA with a predicate of praise and has a high AQ (climber), one student has IPK with the title of praise but the AQ is in the transition category from quitter to camper, 14 students have GPA with no predicate but the AQ is camper, and two students have IPK with no predicate but the AQ is in the transition category from camper to climber. There is a significant relationship between Adversity quotient and Grade Point Average.

scholarly journals A Comparative Analysis on the Effects of Formal and Distance Education Students’ Course Attendance Upon Exam Success

2021 ◽  
Vol 10 (3) ◽  
pp. 122
Author(s):  
Recep ÖZ ◽  
Murat Tolga KAYALAR
Keyword(s):  
Distance Education ◽  
Grade Point Average ◽  
Associate Degree ◽  
Formal Education ◽  
State University ◽  
Education Students ◽  
Education Programs ◽  
Final Exam ◽  
Grade Point ◽  
Course Achievement

The purpose of this study was to analyze the effect of associate degree formal and distance education students course attendance upon their course achievement. The data were obtained from the institutional records of 516 students who registered in formal education programs and 510 students who registered in distance education programs of a vocational school affiliated to a state university in Eastern Anatolian Region of Turkey. It was noticed that course attendance of formal education students was higher than those who registered in the distance education programs; on the other hand, formal education students were more successful rather than distance education students in terms of midterm, final exam and grade point average. It was determined that course attendance was a significant predictor of midterm, final exam and grade point average, and the achievement scores increased as the course attendance increased, as well. Taking measures to encourage students&rsquo; attendance in courses in distance education programs and optimizing access and technical infrastructure could positively contribute upon this issue.

scholarly journals Impact of Time Management Behaviors on Undergraduate Engineering Students’ Performance

SAGE Open ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 215824401882450 ◽  
Author(s):  
Richelle V. Adams ◽  
Erik Blair
Keyword(s):  
Grade Point Average ◽  
Time Management ◽  
Perceived Control ◽  
Engineering Students ◽  
Grade Point ◽  
Cumulative Grade Point Average ◽  
Undergraduate Engineering ◽  
Effective Time ◽  
Behavior Scale ◽  
Management Behaviors

Effective time management is associated with greater academic performance and lower levels of anxiety in students; however many students find it hard to find a balance between their studies and their day-to-day lives. This article examines the self-reported time management behaviors of undergraduate engineering students using the Time Management Behavior Scale. Correlation analysis, regression analysis, and model reduction are used to attempt to determine which aspects of time management the students practiced, which time management behaviors were more strongly associated with higher grades within the program, and whether or not those students who self-identified with specific time management behaviors achieved better grades in the program. It was found that students’ perceived control of time was the factor that correlated significantly with cumulative grade point average. On average, it was found that time management behaviors were not significantly different across gender, age, entry qualification, and time already spent in the program.

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