TY - CHAP

T1 - Learning Analytics with Matlab Grader in Undergraduate Engineering Courses

AU - Dethmann, Jannis

AU - Block, Brit-Maren

N1 - Conference code: 52

PY - 2024

Y1 - 2024

N2 - The presented paper deals with the development and evaluation of a teaching-learning innovation for better student support in the introductory phase of engineering studies. Previous results of a longitudinal study on the study entry phase have shown that there is a strong heterogeneity in terms of prior knowledge of maths and electrical engineering and that there are general deficits in computer skills. To counteract this, a digitally supported introductory study phase was designed with the help of learning analytics through data acquisition via matlab grader, which enables an effective transition from school to university and improves study skills at the start of the degree programme. In the long term, the implementation of learning analytics should also serve to recognise students at risk at an early stage and enable interventions. This paper aims to contribute to the current discussion on technology in engineering studies, offering both theoretical and practical perspectives. Topics such as the design of an improved introduction phase, agile adaptations to future developments and support for students in the use of technology is addressed, and approaches to evaluation methods for quality assurance and validation will be presented. The evaluation results of the teaching-learning innovation with Matlab Grader show that there is a correlation between the exam grade and the use of 431 Matlab Grader. It was also found that the number of tasks completed has a significant correlation on the grade achieved. The feedback from students on the introduction of the new concept indicates that the use of Matlab Grader helps many students to solve exercises and also increases motivation.

AB - The presented paper deals with the development and evaluation of a teaching-learning innovation for better student support in the introductory phase of engineering studies. Previous results of a longitudinal study on the study entry phase have shown that there is a strong heterogeneity in terms of prior knowledge of maths and electrical engineering and that there are general deficits in computer skills. To counteract this, a digitally supported introductory study phase was designed with the help of learning analytics through data acquisition via matlab grader, which enables an effective transition from school to university and improves study skills at the start of the degree programme. In the long term, the implementation of learning analytics should also serve to recognise students at risk at an early stage and enable interventions. This paper aims to contribute to the current discussion on technology in engineering studies, offering both theoretical and practical perspectives. Topics such as the design of an improved introduction phase, agile adaptations to future developments and support for students in the use of technology is addressed, and approaches to evaluation methods for quality assurance and validation will be presented. The evaluation results of the teaching-learning innovation with Matlab Grader show that there is a correlation between the exam grade and the use of 431 Matlab Grader. It was also found that the number of tasks completed has a significant correlation on the grade achieved. The feedback from students on the introduction of the new concept indicates that the use of Matlab Grader helps many students to solve exercises and also increases motivation.

KW - Engineering

KW - Learning Analytics

KW - Matlab Grader

KW - Individual support for first-year students

KW - IT tools in teaching

UR - https://zenodo.org/records/14254856

UR - https://zenodo.org/records/14680287

U2 - 10.5281/zenodo.14254856

DO - 10.5281/zenodo.14254856

M3 - Article in conference proceedings

SP - 430

EP - 437

BT - 52nd Annual Conference of the European Society for Engineering Education, Proceedings

A2 - Dehler Zufferey, Jessica

A2 - Langie, Greet

A2 - Tormey, Roland

A2 - Nagy, Balázs Vince

PB - European Society for Engineering Education (SEFI)

CY - Brüssel

T2 - 52nd Annual Conference of the European Society for Engineering Education - SEFI 2024

Y2 - 2 September 2024 through 5 September 2024

ER -