Prior knowledge in mathematics and study success in engineering: informational value of learner data collected from a web-based pre-course
dc.contributor.author | Derr, Katja | |
dc.contributor.author | Hübl, R | |
dc.contributor.author | Ahmed, Mohammed Zaki | |
dc.date.accessioned | 2018-04-23T08:41:45Z | |
dc.date.available | 2018-04-23T08:41:45Z | |
dc.date.issued | 2018-04-18 | |
dc.identifier.issn | 0304-3797 | |
dc.identifier.issn | 1469-5898 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/11321 | |
dc.description.abstract |
The article describes the development and evaluation of a web-based pre-course in mathematics, delivered to four cohorts of engineering students at a German university. Based on demographic, personal, and learning-related data relationships between students’ preconditions, their learning gains in the pre-course, and study success in the degree programme were analysed. The results support the existing literature in that domain-related prior knowledge and secondary school achievement play a dominant role regarding study success in engineering. The analyses also showed that the influence of cognitive predictors could only be compensated for by a strong learner engagement. At-risk students with high pre-course learning gains showed significantly better first-year performance. The number of self-tests a student attempted was positively related to pre-course learning gains and even to first-year performance, suggesting that this variable is a good indicator of student engagement. | |
dc.format.extent | 911-926 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Taylor & Francis | |
dc.subject | 4 Quality Education | |
dc.title | Prior knowledge in mathematics and study success in engineering: informational value of learner data collected from a web-based pre-course | |
dc.type | journal-article | |
dc.type | article | |
plymouth.issue | 6 | |
plymouth.volume | 43 | |
plymouth.publication-status | Published | |
plymouth.journal | European Journal of Engineering Education | |
dc.identifier.doi | 10.1080/03043797.2018.1462765 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA12 Engineering | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2018-04-04 | |
dc.rights.embargodate | 2019-4-18 | |
dc.identifier.eissn | 1469-5898 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1080/03043797.2018.1462765 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2018-04-18 | |
rioxxterms.type | Journal Article/Review |