Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 930-940 |
| Seitenumfang | 11 |
| Fachzeitschrift | Journal of Chemical Education |
| Jahrgang | 101 |
| Ausgabenummer | 3 |
| Frühes Online-Datum | 13 Feb. 2024 |
| Publikationsstatus | Veröffentlicht - 12 März 2024 |
Abstract
The integration of learning analytics and artificial intelligence methods into education is part of the latest developments and significantly affects chemistry education (research): researchers might face the challenge of collecting and analyzing content-rich data sets involving interdisciplinary approaches from computer science, chemistry, and chemistry education. Developing a learning platform offers a higher degree of freedom compared to using existing Learning Management Systems. This paper presents a step-by-step overview of how we designed and created the web-based learning platform “I 3Learn”. This concrete example showcases how the content management system WordPress can be utilized to develop an online learning infrastructure that enables the application of learning analytics methods. Our approach allows collection of time-accurate log files concerning individual usage behaviors without programming skills. The step-by-step overview enables chemistry education researchers to set up a customized web-based learning platform and lay the data foundation for learning analytics. The value of the I 3Learn platform is shown through a compelling use-case scenario involving 580 9th- and 10th-grade learners in German chemistry classrooms. In this scenario, we collected and analyzed half a million log files, and we report exemplary results and insights from the data.
ASJC Scopus Sachgebiete
- Sozialwissenschaften (insg.)
- Ausbildung bzw. Denomination
- Chemie (insg.)
- Allgemeine Chemie
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in: Journal of Chemical Education, Jahrgang 101, Nr. 3, 12.03.2024, S. 930-940.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
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TY - JOUR
T1 - Exploring Data Mining in Chemistry Education: Building a Web-Based Learning Platform for Learning Analytics
AU - Roski, Marvin
AU - Ewerth, Ralph
AU - Hoppe, Anett
AU - Nehring, Andreas
N1 - Funding Information: This paper results from the PhD program LernMINT, funded by the Ministry of Science and Culture, Lower Saxony, Germany. We state explicitly that we are not affiliated with WordPress or any private person or company that provides plugins and other software. Furthermore, the authors do not receive any financial benefit from WordPress, creators of plugins, or companies of the mentioned software. The authors themselves covered any costs.
PY - 2024/3/12
Y1 - 2024/3/12
N2 - The integration of learning analytics and artificial intelligence methods into education is part of the latest developments and significantly affects chemistry education (research): researchers might face the challenge of collecting and analyzing content-rich data sets involving interdisciplinary approaches from computer science, chemistry, and chemistry education. Developing a learning platform offers a higher degree of freedom compared to using existing Learning Management Systems. This paper presents a step-by-step overview of how we designed and created the web-based learning platform “I 3Learn”. This concrete example showcases how the content management system WordPress can be utilized to develop an online learning infrastructure that enables the application of learning analytics methods. Our approach allows collection of time-accurate log files concerning individual usage behaviors without programming skills. The step-by-step overview enables chemistry education researchers to set up a customized web-based learning platform and lay the data foundation for learning analytics. The value of the I 3Learn platform is shown through a compelling use-case scenario involving 580 9th- and 10th-grade learners in German chemistry classrooms. In this scenario, we collected and analyzed half a million log files, and we report exemplary results and insights from the data.
AB - The integration of learning analytics and artificial intelligence methods into education is part of the latest developments and significantly affects chemistry education (research): researchers might face the challenge of collecting and analyzing content-rich data sets involving interdisciplinary approaches from computer science, chemistry, and chemistry education. Developing a learning platform offers a higher degree of freedom compared to using existing Learning Management Systems. This paper presents a step-by-step overview of how we designed and created the web-based learning platform “I 3Learn”. This concrete example showcases how the content management system WordPress can be utilized to develop an online learning infrastructure that enables the application of learning analytics methods. Our approach allows collection of time-accurate log files concerning individual usage behaviors without programming skills. The step-by-step overview enables chemistry education researchers to set up a customized web-based learning platform and lay the data foundation for learning analytics. The value of the I 3Learn platform is shown through a compelling use-case scenario involving 580 9th- and 10th-grade learners in German chemistry classrooms. In this scenario, we collected and analyzed half a million log files, and we report exemplary results and insights from the data.
KW - Internet/Web-Based Learning
KW - Ionic Bonding
UR - http://www.scopus.com/inward/record.url?scp=85185609542&partnerID=8YFLogxK
U2 - 10.1021/acs.jchemed.3c00794
DO - 10.1021/acs.jchemed.3c00794
M3 - Article
VL - 101
SP - 930
EP - 940
JO - Journal of Chemical Education
JF - Journal of Chemical Education
SN - 0021-9584
IS - 3
ER -