Identifying Engineering Students' English Sentence Reading Comprehension Errors: Applying a Data Mining Technique

Autor/inn/en	Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon
Titel	Identifying Engineering Students' English Sentence Reading Comprehension Errors: Applying a Data Mining Technique
Quelle	In: Journal of Educational Computing Research, 54 (2016) 1, S.62-84 (23 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0735-6331
DOI	10.1177/0735633115605591
Schlagwörter	Engineering Education; English (Second Language); Reading Comprehension; Language Proficiency; Reading Difficulties; Electronic Learning; Computer Uses in Education; Sentences; Data Collection; Data Analysis; Error Patterns; Foreign Countries; College Students; Taiwan + Suchen Sie Ihr Suchwort? Ingenieurausbildung; English as second language; English; Second Language; Englisch als Zweitsprache; Leseverstehen; Language skill; Language skills; Sprachkompetenz; Reading difficulty; Leseschwierigkeit; Computernutzung; Sentence analysis; Satzanalyse; Data capture; Datensammlung; Auswertung; Fehlertyp; Ausland; Collegestudent
Abstract	The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique was applied to mine students' reading errors. Specific association rules of reading errors were identified and distinctive patterns of error production have been recognized among different groups of students. This article addresses the issue of English reading difficulty frequently found among engineering students and discovered possible tendencies of student reading errors. By using the techniques in this article to identify students' reading problems, instructors will be able to construct learning materials for adaptive learning, and thus reduce the cost of teaching and facilitate students' learning outcome. Pedagogical implications were provided based on the results of the study. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01