Impact of Students Evaluation of Teaching: A Text Analysis of the Teachers' Qualities by Gender

Autor/inn/en	Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Hammout, Nisrine; Nakamura, Emilia Luttmann; Escamilla, Jose; Hosseini, Samira
Titel	Impact of Students Evaluation of Teaching: A Text Analysis of the Teachers' Qualities by Gender
Quelle	In: International Journal of Educational Technology in Higher Education, 17 (2020), Artikel 49 (27 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hosseini, Samira)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2365-9440
DOI	10.1186/s41239-020-00224-z
Schlagwörter	Data Collection; Data Analysis; Student Attitudes; Student Evaluation of Teacher Performance; Teacher Evaluation; Gender Differences; Teacher Characteristics; College Students; College Faculty + Suchen Sie Ihr Suchwort? Data capture; Datensammlung; Auswertung; Schülerverhalten; Teacher appraisal; Lehrerbeurteilung; Geschlechterkonflikt; Collegestudent; Fakultät
Abstract	Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage within the educational domain and the positive impact that data-driven methods have. Moreover, the use of information and communication technologies (ICT) in education and process "innovation" has emerged due to the strategic perspectives and the process "monitoring" that have shown to be missing within the traditional education curricula. This study shows that there is an unprecedented increase in the amount of text-based data in different activities within the educational processes, which can be leveraged to provide useful strategic intelligence and improvement insights. Educators can apply the resultant methods and technologies, process innovations, and contextual-based information for ample support and monitoring of the teaching-learning processes and decision making. To this effect, this paper proposes an Educational Process and Data Mining (EPDM) model that leverages the perspectives or opinions of the students to provide useful information that can be used to enhance the end-to-end processes within the educational domain. Theoretically, this study applies the model to determine how the students evaluate their teachers by considering the gender of the teachers. We analyzed the underlying patterns and determined the emotional valence of the students based on their comments in the Students Evaluation of Teaching (SET). Thus, this work implements the proposed EPDM model using SET comments captured in a setting of higher education. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01