A Long-Life Predictive Guidance with Homogeneous Competence Promotion for University Teaching Design
Bibliographic Data
| ID | 22047557 |
|---|---|
| Authors | Juan Jose Aciego (0000-0003-2308-1686, Universidad de Málaga), Alicia Claros Colome (Universidad de Málaga), Ignacio Gonzalez-Prieto (0000-0001-5028-9402, Universidad de Málaga, corresponding author), Angel Gonzalez-Prieto (0000-0003-0122-384X, Universidad de Málaga), Mario J Duran (0000-0002-4912-7091, Universidad de Málaga) |
| Year | 2022 |
| Volume | 13 |
| Issue | 1 |
| Pages | 31 |
| Publication date | 2022-12-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci13010031 |
| OpenAlex | W4313232147 |
| Language | EN |
| Citations received | 1 |
| References cited | 40 |
Even though planning the educational action to optimize student performance is a very complex task, teachers typically face this challenging issue with no external assistance. Previous experience is, in most cases, the main driving force in curriculum design. This procedure commonly overlooks the students’ perception and weakly integrates the students’ feedback by using a non-systematic approach. Furthermore, transverse competences are, unfortunately, typically omitted in this procedure. This work suggests the use of a predictive tool that determines the optimal application time of different methodological instruments. The suggested method can be used for an infinite number of scenarios of promoted competences. The results can be regarded as a guide to modify the course structure, but, more importantly, it offers valuable information to understand better what is occurring in the teaching-learning process and detect anomalies in the subject and avoid the students’ exclusion. The predictive scheme simultaneously considers the teacher’s perspective, the student’s feedback, and the previous scores in a systematic manner. Therefore, results provide a broader picture of the educational process. The proposal is assessed in a course of Electrical Machines at the University of Malaga during the academic year 2021–2022
Curriculum · Homogeneous · Mathematics education · Pedagogy · Perception · Computer Science · E-Learning and Knowledge Management · Educational Innovations and Technology · Engineering · Online Learning and Analytics · Psychology · Social Psychology
Transversal Competences in Engineering Degrees
Don’t Wait, Innovate! Preparing Students and Lecturers in Higher Education for the Future Labor Market
Motivation and Emotions in Competition Systems for Education
Testing the Validity and Reliability of an Instrument Measuring Engineering Students’ Perceptions of Transversal Competency Levels
Understanding Power Electronics and Electrical Machines in Multidisciplinary Wind Energy Conversion System Courses
Relationship Between Professional Competencies Required by Engineering Students According to Abet and CDIO and Teaching–Learning Techniques
Prediction of Engineering Identity in Engineering Graduate Students
Gendered Interests in Electrical, Computer, and Biomedical Engineering
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |