Machine Learning Model to Predict an Adult Learner's Decision to Continue ESOL Course

Autor/inn/en	Dahman, Mohammed R.; Dag, Hasan
Titel	Machine Learning Model to Predict an Adult Learner's Decision to Continue ESOL Course
Quelle	In: Education and Information Technologies, 24 (2019) 4, S.2429-2452 (24 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Dahman, Mohammed R.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-019-09884-5
Schlagwörter	English (Second Language); Second Language Learning; Second Language Instruction; Adult Students; Student Attitudes; Dropouts; Persistence; Learning Motivation; Anxiety; Comparative Analysis; Models; Goodness of Fit; Foreign Countries; Decision Making; Student Placement; Language Tests; Turkey (Istanbul) + Suchen Sie Ihr Suchwort? English as second language; English; Second Language; Englisch als Zweitsprache; Zweitsprachenerwerb; Fremdsprachenunterricht; Adult; Adults; Student; Students; Erwachsenenalter; Studentin; Schüler; Schülerin; Schülerverhalten; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; Ausdauer; Motivation for studies; Lernmotivation; Angst; Analogiemodell; Ausland; Decision-making; Entscheidungsfindung; Schülerpraktikum; Language test; Sprachtest
Abstract	This study investigated the ability of the demographic and the affective variables to predict the adult learners' decision to continue ESOL courser. 278 adult learners, enrolled on ESOL course at FLS institution in Istanbul, Turkey, participated in the study. The result showed that the continued or dropped out groups, demonstrated statistical differences in the demographic variable (the placement test score) with a magnitude of large effect size (0.378). Additionally, the result showed the effect size in the perception of the affective variables (motivation, attitude, and anxiety), accounts for about 50% of the variation between the continuation and dropout groups. Following that, three machine learning models were proposed; all possible subset regression analysis was used to compare the three models. The adequate model, which fitted the demographic variable (the placement test score) and the affective variables (motivation, attitude, and anxiety), correctly predicted 83.3% of the adult learners' decision to continue ESOL course. The model showed about 68% goodness-of-fit. "The cultural implications of these findings are discussed, along with suggestions for future research." (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01