Clustering to Define Interview Participants for Analyzing Student Feedback: A Case of Legends of Learning [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (16th, Bengaluru, India, Jul 11-14, 2023).

Autor/inn/en	Karimov, Ayaz; Saarela, Mirka; Kärkkäinen, Tommi
Titel	Clustering to Define Interview Participants for Analyzing Student Feedback: A Case of Legends of Learning [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (EDM) (16th, Bengaluru, India, Jul 11-14, 2023).
Quelle	(2023), (10 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Student Attitudes; Feedback (Response); Educational Games; Information Retrieval; Pattern Recognition; Data Analysis; Student Motivation; Academic Achievement; Educational Technology; Foreign Countries; Science Education; Cluster Grouping; Algorithms; Grade 5; Grade 6; Grade 7; Middle School Students; Teacher Attitudes; Azerbaijan + Suchen Sie Ihr Suchwort? Schülerverhalten; Educational game; Lernspiel; Mustererkennung; Auswertung; Schulische Motivation; Schulleistung; Unterrichtsmedien; Ausland; Naturwissenschaftliche Bildung; Eingruppierung; Algorithm; Algorithmus; School year 05; 5. Schuljahr; Schuljahr 05; School year 06; 6. Schuljahr; Schuljahr 06; School year 07; 7. Schuljahr; Schuljahr 07; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Lehrerverhalten; Aserbaidschan
Abstract	Within the last decade, different educational data mining techniques, particularly quantitative methods such as clustering, and regression analysis are widely used to analyze the data from educational games. In this research, we implemented a quantitative data mining technique (clustering) to further investigate students' feedback. Students played educational games within a week on the educational games platform, Legends of Learning and after a week, we asked them to fulfill the feedback survey about their feelings on the use of this platform. To analyze the collected data from students, firstly, we prepared clusters and selected one prototype student closest to the centroid of each cluster to interview. Interviews were held to explain the clusters more and due to time and resource limitations, we were unable to interview all (N=60) students, thus only the most representative students were interviewed. In addition to the students, we conducted an interview with the teacher as well to get her detailed feedback and observations on the usage of educational games. We also asked students to take an exam before and after the research to see the impact of games on their grades. Our results depict that though educational games can increase students' motivation, they may negatively impact some students' grades. And even though playing games made students feel interested and fun, they would not like to play them on a daily basis. Hence, using educational games for a certain duration such as subject revision weeks may positively influence students' grades and motivation. [For the complete proceedings, see ED630829.] (As Provided).
Anmerkungen	International Educational Data Mining Society. e-mail: admin@educationaldatamining.org; Web site: https://educationaldatamining.org/conferences/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01