Designing an Automated Assessment of Public Speaking Skills Using Multimodal Cues

Autor/inn/en	Chen, Lei; Feng, Gary; Leong, Chee Wee; Joe, Jilliam; Kitchen, Christopher; Lee, Chong Min
Titel	Designing an Automated Assessment of Public Speaking Skills Using Multimodal Cues
Quelle	In: Journal of Learning Analytics, 3 (2016) 2, S.261-281 (38 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Public Speaking; Educational Assessment; Correlation; Factor Analysis; Communication Skills; Suprasegmentals; Motion; Video Technology; Psychomotor Skills; Speech Communication; Cues; New Jersey + Suchen Sie Ihr Suchwort? Vortrag; Education; assessment; Bewertungssystem; Korrelation; Faktorenanalyse; Kommunikationsstil; Bewegungsablauf; Psychomotorische Aktivität; Stichwort
Abstract	Traditional assessments of public speaking skills rely on human scoring. We report an initial study on the development of an automated scoring model for public speaking performances using multimodal technologies. Task design, rubric development, and human rating were conducted according to standards in educational assessment. An initial corpus of 17 speakers with four speaking tasks was collected using audio, video, and 3-D motion capturing devices. A scoring model based on basic features in speech content, speech delivery, and hand, body, and head movements significantly predicts human rating, suggesting the feasibility of using multimodal technologies in the assessment of public speaking skills. (As Provided).
Anmerkungen	Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01