Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
| Since 2022 (last 5 years) | 11 |
| Since 2017 (last 10 years) | 21 |
| Since 2007 (last 20 years) | 21 |
Descriptor
| Engineering Education | 21 |
| Learning Analytics | 21 |
| Undergraduate Students | 9 |
| Academic Achievement | 8 |
| Foreign Countries | 7 |
| Electronic Learning | 6 |
| Prediction | 6 |
| Correlation | 4 |
| Models | 4 |
| At Risk Students | 3 |
| Bayesian Statistics | 3 |
| More ▼ | |
Source
Author
| Gaševic, Dragan | 2 |
| Pardo, Abelardo | 2 |
| A. Pandal Blanco | 1 |
| Ahammed, Faisal | 1 |
| Ahmad Uzir, Nora'ayu | 1 |
| Alcaraz, Raul | 1 |
| Ally, Noor | 1 |
| Anchalee Ngampornchai | 1 |
| Andreas Korbach | 1 |
| Babette Park | 1 |
| Brijlall, Deonarain | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 21 |
| Reports - Research | 20 |
| Tests/Questionnaires | 2 |
| Reports - Descriptive | 1 |
Education Level
| Higher Education | 14 |
| Postsecondary Education | 14 |
| Secondary Education | 2 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
Location
| Australia | 1 |
| Brazil | 1 |
| Canada | 1 |
| Chile | 1 |
| Massachusetts (Boston) | 1 |
| South Africa (Durban) | 1 |
| Spain | 1 |
| United Kingdom (Manchester) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Corey Schimpf; Ruby Castellani; Molly H. Goldstein – International Journal of Technology and Design Education, 2025
Worldwide, engineering design is seeing an increase in pre-college settings due to changing educational policies and standards. Additionally, these projects can help students develop critical skills for a broad range of problem settings, such as design thinking and reflection. In design and other contexts, reflection is a mental process where…
Descriptors: Engineering Education, Reflection, Educational Technology, Learning Analytics
Vanessa Serrano; Jordi Cuadros; Laura Fernández-Ruano; Javier García-Zubía; Unai Hernández-Jayo; Francesc Lluch – Technology, Knowledge and Learning, 2025
In science and engineering education, remote laboratories are designed to bring ubiquity to experimental scenarios, by having real laboratories operated through the Internet. Despite that remote laboratories enable the collection of students' work data, the educational use of these data is still underdeveloped. Learning analytics dashboards are…
Descriptors: Learning Analytics, Educational Technology, Distance Education, Science Education
David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
Sudeshna Pal; Patsy Moskal; Anchalee Ngampornchai – International Journal on E-Learning, 2024
This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course…
Descriptors: Blended Learning, Advanced Courses, Engineering Education, Undergraduate Students
Lisa Stark; Andreas Korbach; Roland Brünken; Babette Park – Journal of Computer Assisted Learning, 2024
Background: Both learning and problem solving are major goals of complex problem solving in engineering education. The order of knowledge construction and problem solving in learning through problem solving, however, has not been explained in current literature. Objectives: To understand their relationships, this study compared the effects of…
Descriptors: Metacognition, Multimedia Instruction, Multimedia Materials, Eye Movements
J. M. Fernández Oro; P. García Regodeseves; L. Santamaría Bertolín; J. González Pérez; R. Barrio-Perotti; A. Pandal Blanco – Technology, Knowledge and Learning, 2025
Learning Analytics tools are employed to assess student engagement with the Virtual Campus in an undergraduate Fluid Mechanics course at university level in Spain. This is aimed at obtaining a diagnosis of the course problematics which include low attendance rates, poor performance on activity tests and exams and a high number of re-enrolments. A…
Descriptors: Learning Analytics, Electronic Learning, Undergraduate Study, Mechanics (Physics)
Hector Vargas; Ruben Heradio; Gonzalo Farias; Zhongcheng Lei; Luis de la Torre – IEEE Transactions on Education, 2024
Contribution: A competency assessment framework that enables learning analytics for course monitoring and continuous improvement. Our work fills the gap in systematic methods for competency assessment in higher education. Background: Many institutions are shifting toward competency-based education (CBE), thus encouraging their educators to start…
Descriptors: Competency Based Education, Learning Analytics, Higher Education, College Students
Xing, Wanli; Pei, Bo; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Engineering design plays an important role in education. However, due to its open nature and complexity, providing timely support to students has been challenging using the traditional assessment methods. This study takes an initial step to employ learning analytics to build performance prediction models to help struggling students. It allows…
Descriptors: Learning Analytics, Engineering Education, Prediction, Design
Ouyang, Fan; Wu, Mian; Zheng, Luyi; Zhang, Liyin; Jiao, Pengcheng – International Journal of Educational Technology in Higher Education, 2023
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…
Descriptors: Technology Integration, Artificial Intelligence, Performance, Prediction
Saint, John; Whitelock-Wainwright, Alexander; Gasevic, Dragan; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2020
The recent focus on learning analytics (LA) to analyze temporal dimensions of learning holds the promise of providing insights into latent constructs, such as learning strategy, self-regulated learning (SRL), and metacognition. These methods seek to provide an enriched view of learner behaviors beyond the scope of commonly used correlational or…
Descriptors: Undergraduate Students, Engineering Education, Learning Analytics, Learning Strategies
Alcaraz, Raul; Martinez-Rodrigo, Arturo; Zangroniz, Roberto; Rieta, Jose Joaquin – IEEE Transactions on Learning Technologies, 2021
Early warning systems (EWSs) have proven to be useful in identifying students at risk of failing both online and conventional courses. Although some general systems have reported acceptable ability to work in modules with different characteristics, those designed from a course-specific perspective have recently provided better outcomes. Hence, the…
Descriptors: Prediction, At Risk Students, Academic Failure, Electronic Equipment
Rajabalee, Yousra Banoor; Santally, Mohammad Issack – Education and Information Technologies, 2021
There has been debates related to online and blended learning from a perspective of learner experiences in terms of student satisfaction, engagement and performances. In this paper, we analyze student feedback and report the findings of a study of the relationships between student satisfaction and their engagement in an online course with their…
Descriptors: Student Satisfaction, Electronic Learning, College Freshmen, Engineering Education
Darko, Charles – SAGE Open, 2021
"Blackboard" is an important Learning Management System (LMS) employed at most higher education institutions to engage and interact with students during their studies. Students within Material Science and Engineering (MSE) often use these LMS's to absorb mathematical derivations, scientific information and submit coursework tasks. In…
Descriptors: Integrated Learning Systems, Correlation, Grades (Scholastic), Academic Achievement
Ahmad Uzir, Nora'ayu; Gaševic, Dragan; Matcha, Wannisa; Jovanovic, Jelena; Pardo, Abelardo – Journal of Computer Assisted Learning, 2020
This paper aims to explore time management strategies followed by students in a flipped classroom through the analysis of trace data. Specifically, an exploratory study was conducted on the dataset collected in three consecutive offerings of an undergraduate computer engineering course (N = 1,134). Trace data about activities were initially coded…
Descriptors: Time Management, Blended Learning, Learning Analytics, Undergraduate Students
Canto, Natalia Gil; de Oliveira, Marcelo Albuquerque; Veroneze, Gabriela de Mattos – European Journal of Educational Research, 2022
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…
Descriptors: Engineering Education, Prediction, Graduation, Industrial Arts
Previous Page | Next Page »
Pages: 1 | 2
Peer reviewed
Direct link
