earticle

영어

This research explores the relationship between syntactic complexity and the quality of written work among English as a Foreign Language (EFL) learners at Mekdela Amba University in Ethiopia. Employing a comprehensive analytical framework, the study examines 30 argumentative essays composed by first-year undergraduate students. The framework integrates conventional absolute metrics, detailed clausal and phrasal indicators, and verb argument constructions (VACs), which are evaluated using the TAASSC tool (Tool for the Automatic Analysis of Syntactic Sophistication and Complexity). The results indicate that detailed clausal complexities, especially the strategic deployment of modal auxiliaries (r = .459, p = .030), play a significant role in enhancing the depth of argumentation. Conversely, traditional metrics like complex nominals per T-unit show only a minimal correlation with writing quality (r = .342, p = .065). A stepwise regression analysis underscores strong predictive validity (r = .762, Adj. R² = .532), highlighting that varied adverbial modifiers (β = -0.529, p < .001) and the use of high-frequency verbs (r = .227, p < .05) are linked to superior writing scores. These findings underscore the necessity of incorporating advanced syntactic training into EFL teaching programs to enhance students' proficiency in producing high-standard academic texts. By concentrating on nuanced syntactic elements, instructors can more effectively equip students to meet the challenges of sophisticated academic communication.

기타언어

ይህ ጥናት ኢትዮጵያ ውስጥ በመቅደላ አምባ ዩኒቨርሲቲ እንግሊዝኛን እንደ ውጪቋንቋ (EFL) የሚማሩ ተማሪዎች በሚጽፏቸው ድርሰቶች የአረፍተ ነገር ውስብስብነትና የጽሁፍ ጥራት ያላቸውን ዝምድና ፈትሻል፡፡ ሰላሳ የቅድመ ምረቃ ተማሪዎች የጻፏቸው ክርክራዊ ድርሰቶች ፈርጀ ብዙ የትንተና ፍሬም ወርክ ተለምዷዊ ፍፁም ልኬት፣ ዝርዝር የሃረጋት ቅርጽ አመልካቾች፣ እና ውስብስብ የግስ ነጋሪት ግንባታዎችን (በአውቶማቲክ የአረፍተ ነገር ውስብብብነት ልኬት መሰረት) ተለክተዋል፡፡ትንታኔው እንደሚያሳው ዝርዝር ሃረጋዊ ውስብስብነት በተለይም ውጤታማ የመንገደኛ ግሶች አጠቃቀም (r = .459, p = .030) የአከራካሪ ድርሰትን ጥልቀት በጉልህ አሻሽሏል፡፡ በተቃራኒውበተለምዶ ጥቅም ላይ የሚውሉ አመልካቾች (ለምሳሌ፣ complex nominals per T-unit፣ r = .342) ግን ደካማ ግንኙነት ብቻ አሳይተዋል። የተደራጁ የተለዋዋጭ ትንተና (stepwise regression) ከፍተኛ የግምት አስተማማኝነት (r = .762, Adj. R² = .532) አሳይቷል፤ ይህም የተለያዩ የሐረግ ማስተካከያዎች (β = -0.529) እና ከፍተኛ ድግግሞሽ ግሶች (r = .227) ጥራትን እንደሚያሻሽሉ ያመለክታል። ውጤቶቹ በEFL ትምህርት ውስጥ የቋንቋ አገባብ ውስብስብነትን በማስተዋወቅ ተማሪዎች የአካዳሚክ ጽሑፍ አቅምን ለማሳደግ አስፈላጊነት ያሳያሉ።