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Yasmany García-Ramírez – Advances in Engineering Education, 2024
Due to its positive results, active learning has spread to most areas of knowledge of Civil Engineering. Many of these studies used only one technique, which is limiting given the diverse learning styles that the students may have. The road geometric design is the area that has been the least explored in Civil engineering. Therefore, the objective…
Descriptors: Engineering Education, Active Learning, Design, Civil Engineering
Lauri J. Partanen; Viivi Virtanen; Henna Asikainen; Liisa Myyry – European Journal of Engineering Education, 2024
This study explores Finnish chemical engineering students' peer and self-assessment perceptions. It is divided into two substudies. In Study I, we investigate students' perceptions of peer and self-assessment based on their responses to open questions and Likert-items adopted from existing literature. We identify six perception dimensions from…
Descriptors: Foreign Countries, Chemical Engineering, Engineering Education, Peer Evaluation
Guadalupe Elizabeth Morales-Martinez; Ricardo Jesus Villarreal-Lozano; Maria Isolde Hedlefs-Aguilar – International Journal of Emotional Education, 2025
This research study explored the systematic thinking modes underlying test anxiety in 706 engineering students through an experiment centred on the cognitive algebra paradigm. The participants had to read 36 experimental scenarios that narrated an imaginary academic assessment situation one by one and then judge the level of anxiety they…
Descriptors: Engineering Education, Cognitive Style, College Students, Student Attitudes
Elkhatat, Ahmed M.; Al-Muhtaseb, Shaheen A. – Chemical Engineering Education, 2022
A Computer-Aided Learning Package as Inquiry-Guided Learning (CALP/IGL) was implemented in a cooling tower experiment for 43 students enrolled in four sections of the Unit Operations Laboratory course in the chemical engineering program at Qatar University. The impact of this approach on the attainment of learning outcomes was evaluated. Results…
Descriptors: Inquiry, Active Learning, Engineering Education, Computer Assisted Instruction
Prateek Shekhar; Heydi Dominguez; Pramod Abichandani; Craig Iaboni – IEEE Transactions on Education, 2024
Purpose: The presented study was conducted to unpack high school students' motivational influences in engineering/computer science project-based learning (PjBL), using the attention, relevance, confidence, and satisfaction (ARCS) model of motivation as a conceptual framework. Methods: A qualitative research approach was used with student focus…
Descriptors: High School Students, Student Projects, Student Motivation, Learning Motivation
Wengrowicz, Niva; Lavi, Rea; Kohen, Hanan; Dori, Dov – Journal of Science Education and Technology, 2023
As part of the design, development, and deployment of a massive open online course (MOOC) on model-based systems engineering, we introduced MORTIF--Modeling with Real-Time Informative Feedback, a new learning-by-doing feature that enables the learner to model, receive detailed feedback, and resubmit improved solutions. We examined the pedagogical…
Descriptors: MOOCs, Feedback (Response), Student Characteristics, Student Attitudes
Han, Feifei; Ellis, Robert A.; Guan, Enjing – Journal of Computer Assisted Learning, 2023
Background: While a number of learner factors have been identified to impact students' collaborative learning, there has been little systematic research into how patterns of students' collaborative learning may differ by their learning orientations. Objectives: This study aimed to investigate: (1) variations in students' learning orientations by…
Descriptors: Cooperative Learning, Cognitive Style, Blended Learning, Academic Achievement
Botejara-Antúnez, Manuel; Sánchez-Barroso, Gonzalo; González-Domínguez, Jaime; García-Sanz-Calcedo, Justo – Education Sciences, 2022
Engineering courses usually have a low success rate, and students that take them often consider them difficult and show little motivation towards them. In this context, it is essential to obtain information about the profile of the students so that the teaching can be adapted to their perceived needs and motivations as well to provide support to…
Descriptors: Engineering Education, Student Motivation, Cognitive Style, College Students
Chang, Chi-Cheng; Yen, Wan-Hsuan – Asia Pacific Journal of Education, 2023
Engineering design thinking is at the core of engineering competence. Project-Based learning (PjBL) about Science, Technology, Engineering, and Mathematics (STEM), which is based on engineering design, has brought enormous success in students' gaining and applying knowledge about STEM subjects. However, there are few studies on the perceived…
Descriptors: Cognitive Style, Engineering Education, Design, Thinking Skills
Li, Jessica; Han, Seung-hyun; Fu, Shengli – Journal of Further and Higher Education, 2019
It is a commonly accepted notion that people take different approaches in learning. Although attention has been given to learning styles as one of the determinants of learning performance, there is are limitations to the inferential approach to understanding the impact of learning styles on learning outcomes. The purpose of this study is to…
Descriptors: Correlation, Cognitive Style, Outcomes of Education, Engineering Education
Tambunan, Hamonangan; Silitonga, Marsangkap; Sidabutar, Uli Basa – International Journal of Mobile and Blended Learning, 2021
To compare the different impacts of the balance of face-to-face and online learning in blended learning, along with learning styles, an experiment was done using a 3x4 design consisting of three blended learning composition groups of 25% face-to-face and 75% online, an equal balance of face-to-face and online, and 75% face-to-face and 25% online.…
Descriptors: Blended Learning, Cognitive Style, Student Teachers, Engineering Education
Cervin-Ellqvist, Maria; Larsson, Daniel; Adawi, Tom; Stöhr, Christian; Negretti, Raffaella – Higher Education: The International Journal of Higher Education Research, 2021
Knowing how students approach learning in higher education contexts is key to promote learning strategies that are effective in the long run. Previous research has concluded that students often use ineffective learning strategies but believe them to be effective--a phenomenon known as metacognitive illusion. In a bid to broaden the perspective on…
Descriptors: Metacognition, Cognitive Style, Learning Strategies, Engineering Education
Abella, Ainoa; Araya León, María; Marco-Almagro, Lluís; Clèries Garcia, Laura – International Journal of Technology and Design Education, 2022
Materials are elements that configure our built environment and are key components in design and engineering education. This research aims to understand learners' sensorial perception of materials as stimuli and what constitutes the most appropriate communication channel for learning about their characteristics without losing information in…
Descriptors: Cognitive Style, Physical Environment, Design, Engineering Education
Cinthia Viviana Rojas-Palacio; Eliana Isabel Arango-Zuluaga; Héctor Antonio Botero-Castro – Journal of Technology and Science Education, 2024
This paper explains the design and implementation of a novel didactic strategy based on learning styles for teaching automatic control theory in engineering. Traditional research on engineering education has worked to develop teaching methodologies, educational resources, and assessment tasks without considering the learning styles of the…
Descriptors: Cognitive Style, Class Activities, College Faculty, Instructional Design
Alalouch, Chaham – Education Sciences, 2021
Cognitive styles affect the learning process positively if tasks are matched to the cognitive style of learners. This effect becomes more pronounced in complex education, such as in engineering. We attempted to critically assess the effect of cognitive styles and gender on students' academic performance in eight engineering majors to understand…
Descriptors: Cognitive Style, Gender Differences, Academic Achievement, Engineering Education