Details
| Original language | English |
|---|---|
| Publication status | Published - 2020 |
| Event | IEEE Frontiers in Education Conference - Uppsala, Sweden Duration: 21 Oct 2020 → 24 Oct 2020 |
Conference
| Conference | IEEE Frontiers in Education Conference |
|---|---|
| Abbreviated title | FIE |
| Country/Territory | Sweden |
| City | Uppsala |
| Period | 21 Oct 2020 → 24 Oct 2020 |
Abstract
Keywords
- motivation to study, problem-based learning, remote laboratory, student-centered learning environments, university drop-out
ASJC Scopus subject areas
- Computer Science(all)
- Software
- Social Sciences(all)
- Education
- Computer Science(all)
- Computer Science Applications
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2020. Paper presented at IEEE Frontiers in Education Conference, Uppsala, Sweden.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Investigation of Variables Related to University Drop-out in Problem-Based Learning
AU - Haack, Matthias
AU - Jambor, Thomas
PY - 2020
Y1 - 2020
N2 - This Research to Practice Full Paper will introduce a didactic concept with the aim of activating a large cohort in a classical lecture hall. The main objective is to reduce factors which may lead to a drop-out. The didactic concept is based on a problem-based learning approach. The students solve problems in several steps which refer to an end product according to the action-oriented learning. The problem-solving processing steps are divided according to the flipped-classroom approach. At home, students familiarize themselves with the problem and the end product and collect information on both. They prepare a plan to independently solve the problem. At the university, they develop and test the solution. The test is carried out the end product. Due to the large cohort, not every solution can be checked in the lecture hall. Because of this the end product is part of a remote lab. Thus, every student can check their solution from home.The concept was tested for the first time in 2019. The students participating in the course industrial control systems and real time systems form the experimental group. The 2018 course participants form the control group. The survey is based on a pre-post-test-design which has been answered by both groups. The results show no decrease of the factor performance problems. The factor motivation to study, by contrast, could be increased significantly.
AB - This Research to Practice Full Paper will introduce a didactic concept with the aim of activating a large cohort in a classical lecture hall. The main objective is to reduce factors which may lead to a drop-out. The didactic concept is based on a problem-based learning approach. The students solve problems in several steps which refer to an end product according to the action-oriented learning. The problem-solving processing steps are divided according to the flipped-classroom approach. At home, students familiarize themselves with the problem and the end product and collect information on both. They prepare a plan to independently solve the problem. At the university, they develop and test the solution. The test is carried out the end product. Due to the large cohort, not every solution can be checked in the lecture hall. Because of this the end product is part of a remote lab. Thus, every student can check their solution from home.The concept was tested for the first time in 2019. The students participating in the course industrial control systems and real time systems form the experimental group. The 2018 course participants form the control group. The survey is based on a pre-post-test-design which has been answered by both groups. The results show no decrease of the factor performance problems. The factor motivation to study, by contrast, could be increased significantly.
KW - motivation to study
KW - problem-based learning
KW - remote laboratory
KW - student-centered learning environments
KW - university drop-out
UR - http://www.scopus.com/inward/record.url?scp=85098543891&partnerID=8YFLogxK
U2 - 10.1109/fie44824.2020.9273964
DO - 10.1109/fie44824.2020.9273964
M3 - Paper
T2 - IEEE Frontiers in Education Conference
Y2 - 21 October 2020 through 24 October 2020
ER -