Educational data mining (DEM) provides valuable educational information by applying data mining tools and techniques to analyze data at educational institutions. In this paper, tree-based machine learning algorithms are used to predict students' overall academic performance in their bachelor's program. The transcript data of the students in the…

Contribution: Model-based learning improves systems thinking (ST) based on students' prior knowledge and gender. Relations were found between textual, visual, and mixed question types and student achievements. Background: ST is essential to judicious decision-making and problem-solving. Undergraduate students can be taught to apply better ST, and…

With long-term impact of COVID-19 on education, online interactive live courses have been an effective method to keep learning and teaching from being interrupted, attracting more and more attention due to their synchronous and real-time interaction. However, there is no suitable method for predicting academic performance for students…

Contribution: Project-based learning is a widely used learning approach that has proven itself effective in engineering education. This article describes a generalized model to teach undergraduate students the concepts of dc electric motors using project-based learning through a complete module that consists of modeling and simulation, and…

Eight mechanical engineering students built three didactic models that show how different mechanical elements and mechanisms work in a pick-up truck. This study reviews their experience while manufacturing them, challenges faced and their learning experience. The project was directed by students entirely which posed planning, organizing,…

Engineering higher education is growing rapidly across the world, especially in the Global South. For many of these countries, the dominant engineering university models were imported and established by colonial European empires. These imported systems of higher education and engineering evolved to meet the local contexts of Europe and the United…

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…

Path analysis was used to evaluate a structural theoretical model of the relations among different pre-university variables, social and academic experiences during the first year of university, and academic success, evaluated through first-year university achievement and permanence in the sophomore year or student retention. The participants in…

This paper demonstrates an experimental integrated lesson of physics and calculus in a topic of fluid force applying on different shapes of dams. This lesson was designed for the first year students in engineering program in an attempt to show them the connection between these two disciplines, as well as to introduce more advanced…

Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…

Since 2007/2008 project-based learning models have been used to deliver two fundamental courses on Geotechnics in University of Aveiro, Portugal. These models have evolved and have encompassed either cooperative or collaborative teamwork. Using data collected in five editions of each course (Soil Mechanics I and Soil Mechanics II), the different…

This evaluation is a conceptual framework that has been analyzed in the hope that can help research related an evaluation of the curriculum. The Model of evaluation used was CIPPO model. CIPPO Model consists of "context," "input," "process," "product," and "outcomes." On the dimension of the…

The need for educating engineers in the United States continues as the projected demand is rising the number of high school seniors planning to enter engineering careers has remained relatively stable (Sargent, 2014). Additionally, figures show that attrition rates in undergraduate engineering continue to be an area of concern, (Sargent, 2014;…

Boring lecturers and irrelevant learning materials needed by students caused the students are less motivated to learn entrepreneurship course in vocational education. It is caused by the learning materials that will be delivered by the lectures can be predicted by the students. Thus, a relevant and supplementary support is much needed which can be…

A fully flipped mode teaching approach is challenging for students in advanced engineering courses, because of demanding pre-class preparation load, due to the complex and analytical nature of the topics. When this is applied to large classes, it brings an additional complexity in terms of promoting the intended active learning. This paper…