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 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.

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>

Problem Solving Techniques Taught Through Validation of an Instantaneous Rigid Force Model

2014 ◽  
Author(s):  
Richard B. Mindek ◽  
Joseph M. Guerrera
Keyword(s):  
Problem Solving ◽  
Undergraduate Students ◽  
Cutting Forces ◽  
Engineering Students ◽  
Force Model ◽  
Limited Time ◽  
Undergraduate Engineering ◽  
Laboratory Courses ◽  
Milling Operations ◽  
Cutting Model

Educating engineering students in the appropriate methods for analyzing and problem solving fundamental manufacturing processes is a challenge in undergraduate engineering education, given the increasingly limited room in the curriculum as well as the limited time and resources. Although junior and senior level laboratory courses have traditionally been used as a pedagogical platform for conveying this type of knowledge to undergraduate students, the broad range of manufacturing topics that can be covered along with the limited time within a laboratory course structure has sometimes limited the effectiveness of this approach. At the same time, some undergraduate students require a much deeper knowledge of certain manufacturing topics, practices or research techniques, especially those who may already be working in a manufacturing environment as part of a summer internship or part-time employment. The current work shows how modeling, actual machining tests and problem solving techniques were recently used to analyze a manufacturing process within a senior design project course. Specifically, an Instantaneous Rigid Force Model, originally put forward by Tlusty (1,2) was validated and used to assess cutting forces and the ability to detect tool defects during milling operations. Results from the tests showed that the model accurately predicts cutting forces during milling, but have some variation due to cutter vibration and deflection, which were not considered in the model. It was also confirmed that a defect as small as 0.050 inches by 0.025 inches was consistently detectable at multiple test conditions for a 0.5-inch diameter, 4-flute helical end mill. Based on the results, it is suggested that a force cutting model that includes the effect of cutter vibration be used in future work. The results presented demonstrate a level of knowledge in milling operations analysis beyond what can typically be taught in most undergraduate engineering laboratory courses.

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 Correlation Learning Style with Grade Point Average Fourth Year Medical Student

2021 ◽  
Vol 9 (T3) ◽  
pp. 358-361
Author(s):  
Resti Rahmadika Akbar ◽  
Elvinas Sari Nasution
Keyword(s):  
Medical Students ◽  
Learning Styles ◽  
Grade Point Average ◽  
Learning Style ◽  
Medical Science ◽  
Bivariate Analysis ◽  
Model Learning ◽  
Cross Sectional ◽  
Important Indicator ◽  
Grade Point

BACKGROUND: Learning achievement is an important indicator to determine the learning and teaching process, each student has a different learning style. Student learning learns how they choose the suitable method and the results obtained optimally. A student must also learn their learning styles to choose methods or ways of learning that are appropriate to their character. AIM: Knowing the relationship between learning style and cumulative Grade Point Average (GPA) of 4th-year students at the Faculty of Medicine, Universitas Baiturrahmah. METHODS: The scope of this research covers the fields of medical science, especially medical education, correlative analytical research with cross-sectional design. The study was conducted at the Medical Faculty Universitas Baiturrahma. The study was conducted from May to January 2019. The affordable population in this study were 4th-year students numbered 80 students with the Simple Random Sampling technique. Data analysis was univariately presented in the form of a frequency distribution table and bivariate analysis using the correlation test using the SPSS program. RESULTS: At most with female gender, namely (71.3%), the highest place is at most boarding, namely (77.5%), most have quad-model learning styles, namely (80%), most have a GPA graduated that is (61.3%), there is a relationship between the learning style and the GPA of 4th-year medical students with a value of p = 0.024 (p < 0.05) and r = 0.0253. CONCLUSION: It can be concluded that the 4th-year medical students have the most female sex, the most places to live are boarding, quad-model learning style, and there is a correlation between learning styles and the 4th year GPA Medicine at Universitas Baiturrahmah.

Multiscale-Based Mechanical Engineering Education

2006 ◽  
Author(s):  
G. Karami ◽  
R. V. Pieri
Keyword(s):  
Finite Elements ◽  
Engineering Education ◽  
Multiscale Analysis ◽  
Mechanical Engineering ◽  
Engineering Students ◽  
Classical Mechanics ◽  
Undergraduate Engineering ◽  
Computer Aided ◽  
Engineering Mechanics ◽  
Finite Elements Model

The classical engineering mechanics courses of Statics, Dynamics and Strength of Materials are taught to most engineering disciplines. With the advent of multiscale analysis and practice, reforms should be implemented in such classical mechanics courses to address the change so that they won't be limited only to continuum and macro-based level, but to include all the scales. This paper will suggest revisions that should be implemented in these courses. This includes introducing the concepts of multiscale engineering and the addition of new modules in the form of example problems in micro and nano-scales. Relying upon the framework of existing courses and using the existing physical and intellectual resources, an array of educational activities will be suggested to provide such an opportunity for undergraduate engineering students. The efforts will be substantiated and facilitated using the simulation capabilities of Computer Aided Engineering and Drawing (CADD) techniques as well as the analysis capabilities of Finite Elements Model (FEM) procedures.

Evaluation of Haptic Modules for Training in Undergraduate Mechanics

2015 ◽  
Author(s):  
Ernur Karadogan ◽  
Robert L. Williams ◽  
Figen Karadogan
Keyword(s):  
Conceptual Understanding ◽  
Teaching And Learning ◽  
Engineering Students ◽  
Force Feedback ◽  
Target Population ◽  
Problem Solving Skills ◽  
Undergraduate Engineering ◽  
Significant Difference ◽  
Software Modules ◽  
Visual Learners

This article reports the evaluation results of the software modules we are developing to augment teaching and learning in standard required undergraduate engineering mechanics courses. Using these modules, students can change parameters, predict answers, compare outcomes, interact with animations, and “feel” the results using a force feedback joystick. The overall system aims to increase teaching and learning effectiveness by rendering the concepts compelling, fun, and engaging. Three software modules in Dynamics were evaluated by a sample of the target population, 40 undergraduate engineering students who were enrolled in a sophomore-level Dynamics course during the evaluation. Students showed significant preference in that the modules would increase their interest in Dynamics subject and their engagement in the Dynamics course that they were enrolled at the time of the evaluation. Evaluation results also showed significant difference in preference in that the modules would improve students’ both conceptual understanding of the Dynamics subjects and problem-solving skills. Tactile learners believed that the modules would improve their conceptual understanding of Dynamics subjects more than the visual learners. 97.5% of the students were willing to use the software again in the future. 92.5% of the students believed that the incorporation of this software to the instruction of Dynamics would be beneficial to their learning.

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