A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities

Autor/inn/en	Mora, Higinio; Ferrández, Antonio; Gil, David; Peral, Jesús
Titel	A Computational Method for Enabling Teaching-Learning Process in Huge Online Courses and Communities
Quelle	In: International Review of Research in Open and Distributed Learning, 18 (2017) 1, S.225-246 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1492-3831
Schlagwörter	Electronic Learning; Online Courses; Teaching Methods; Learning Processes; Case Studies; Computational Linguistics; Natural Language Processing; Distance Education; Open Universities; Foreign Countries; Course Descriptions; Programming; Computer Science Education; Outcomes of Education; Spain + Suchen Sie Ihr Suchwort? Online course; Online-Kurs; Teaching method; Lehrmethode; Unterrichtsmethode; Learning process; Lernprozess; Case study; Fallstudie; Case Study; Linguistics; Computerlinguistik; Natürliche Sprache; Distance study; Distance learning; Fernunterricht; Offene Universität; Ausland; Kursstrukturplan; Programmierung; Computer science lessons; Informatikunterricht; Lernleistung; Schulerfolg; Spanien
Abstract	Massive Open Online Courses and e-learning represent the future of the teaching-learning processes through the development of Information and Communication Technologies. They are the response to the new education needs of society. However, this future also presents many challenges such as the processing of online forums when a huge number of messages are generated. These forums provide an excellent platform for learning and connecting students of the subject, but the difficulties in following and searching the vast volume of information that they generate may produce the opposite effect. In this paper, we propose a computational method for enabling the educational process in huge online learning communities. This method analyzes the forum information through Natural Language Processing techniques and extract the main topics discussed. The results generated improves the management of the forums, increases the effectiveness of the teachers' explanations and reduces the time spent by students to follow the course. The proposal has been complemented with a real case study that shows promising results. (As Provided).
Anmerkungen	Athabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01