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All Journal Jurnal Pendidikan Bahasa Inggris Lingua Scientia JEES (Journal of English Educators Society) Religious: Jurnal Studi Agama-Agama dan Lintas Budaya ejurnal imedtech Jurnal Bahasa Lingua Scientia ELLITE: Journal of English Language, Literature, and Teaching LUNAR: Journal of Language and Art Yavana Bhasha : Journal of English Language Education English Language Teaching Prima Journal (ELT) Journal of English Education Program (JEEP) Widyadewata: Jurnal Balai Diklat Keagamaan Denpasar Yavana Bhasha: Journal of English Language Education
Made Wahyu Mahendra .
Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar
Religion Arts Humanities Education Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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Journal : Jurnal Bahasa Lingua Scientia

 1 
AN AUTHENTIC ASSESSMENT ON SENTENCE COMPLEXITY TOWARD INDONESIAN EFL STUDENT’S WRITING PRODUCTION Mahendra, Made Wahyu
Jurnal Bahasa Lingua Scientia Vol 8, No 1 (2016)
Publisher : Pusat Pengembangan Bahasa IAIN Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7372.353 KB) | DOI: 10.21274/ls.2016.8.1.45-60

Abstract

Linguistically, the more complex clause a sentence implements, the more complex the grammar it embed. A simple clause, as opposing the complex clause, consists of a subject and a verb with optional object or complement. However, Biber et.al. (2011) has proved that complexity of a clause attached in a sentence fails to indicate the complexity of a sentence in writing composition. Furthermore, they indicated the stage of the acquisition of complexity features of writing, including that of in L2 of English. This present study aims at investigating how the frequency of complex sentence produced by Ganesha University of Education students different from that of by professional academic writer, to assess students’ writing ability. The complexity features of writing comprise: 1) fnite dependent clause types; 2) non-fnite dependent clause; and 3) dependent phrase types (non-clausal). Theoretically, the implication of the study aims to beneft the development of teaching writing through authentic assessment process. Providing assessment with diagnostic feedback on areas of needed improvement through authentic assessment in English language teaching has become a solution due to its signifcance for language learner (Brown & Abeyvikrama, 2010: 254). Corpus-based analysis is conducted allowing great number of data to be analyzed to generate more reliable generalization (Baker, 2010). The corpus data and the frequency of sentence complexity as represented by selected features of (Biber et al., 2011), are annotated using CLAWS part-of-Made Wahyu Mahendra, An Authentic Assessment....46. speech tagger hosted by Ucrel, and are calculated by Ant.Conc 3.2.4 corpus software. The fndings projects surprisingly occurrence in which undergraduate students utilizes clausal sentence rather than phrasal sentences. It becomes indication that the students are in the early developmental stage of complexity in writing.
THE USE OF TRANSITION SIGNALS IN EFL ACADEMIC WRITING CONTEXT: A CORPUS STUDY Mahendra, Made Wahyu; Dewi, Ni Putu Ratna Puspita
Jurnal Bahasa Lingua Scientia Vol 9, No 1 (2017)
Publisher : Pusat Pengembangan Bahasa IAIN Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (288.948 KB) | DOI: 10.21274/ls.2017.9.1.87-100

Abstract

For foreign language learners, especially in university, academic writing is essential. Students are required to analyse, compare, and inform through academic writing. Moreover, when they reach the end of their study, they should write a thesis as part of a requirement to graduate. Thus, thesis writing is a major challenge for students. Halliday and Hassan as cited in Hinkel (2001) emphasise that academic writing should achieve cohesiveness to make it well-constructed and understandable. Transition signal is one of prominent cohesive devices that should be taken into account in academic writing. This study aims to identify students’ problems and tendency in using transition signals in academic writing. The data are gained from university students’ academic writing product which is built in a form of corpus. The data are then analysed by using corpus software (ant conc.3.2.4). Its implication on English Language Teaching (ELT) concerning the teaching of transition signals will also be addressed
AN AUTHENTIC ASSESSMENT ON SENTENCE COMPLEXITY TOWARD INDONESIAN EFL STUDENT’S WRITING PRODUCTION Made Wahyu Mahendra
Jurnal Bahasa Lingua Scientia Vol 8 No 1 (2016)
Publisher : Pusat Pengembangan Bahasa IAIN Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/ls.2016.8.1.31-41

Abstract

Linguistically, the more complex clause a sentence implements, the more complex the grammar it embed. A simple clause, as opposing the complex clause, consists of a subject and a verb with optional object or complement. However, Biber et.al. (2011) has proved that complexity of a clause attached in a sentence fails to indicate the complexity of a sentence in writing composition. Furthermore, they indicated the stage of the acquisition of complexity features of writing, including that of in L2 of English. This present study aims at investigating how the frequency of complex sentence produced by Ganesha University of Education students different from that of by professional academic writer, to assess students’ writing ability. The complexity features of writing comprise: 1) fnite dependent clause types; 2) non-fnite dependent clause; and 3) dependent phrase types (non-clausal). Theoretically, the implication of the study aims to beneft the development of teaching writing through authentic assessment process. Providing assessment with diagnostic feedback on areas of needed improvement through authentic assessment in English language teaching has become a solution due to its signifcance for language learner (Brown & Abeyvikrama, 2010: 254). Corpus-based analysis is conducted allowing great number of data to be analyzed to generate more reliable generalization (Baker, 2010). The corpus data and the frequency of sentence complexity as represented by selected features of (Biber et al., 2011), are annotated using CLAWS part-of-Made Wahyu Mahendra, An Authentic Assessment....46. speech tagger hosted by Ucrel, and are calculated by Ant.Conc 3.2.4 corpus software. The fndings projects surprisingly occurrence in which undergraduate students utilizes clausal sentence rather than phrasal sentences. It becomes indication that the students are in the early developmental stage of complexity in writing.
THE USE OF TRANSITION SIGNALS IN EFL ACADEMIC WRITING CONTEXT: A CORPUS STUDY Made Wahyu Mahendra; Ni Putu Ratna Puspita Dewi
Jurnal Bahasa Lingua Scientia Vol 9 No 1 (2017)
Publisher : Pusat Pengembangan Bahasa IAIN Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/ls.2017.9.1.87-100

Abstract

For foreign language learners, especially in university, academic writing is essential. Students are required to analyse, compare, and inform through academic writing. Moreover, when they reach the end of their study, they should write a thesis as part of a requirement to graduate. Thus, thesis writing is a major challenge for students. Halliday and Hassan as cited in Hinkel (2001) emphasise that academic writing should achieve cohesiveness to make it well-constructed and understandable. Transition signal is one of prominent cohesive devices that should be taken into account in academic writing. This study aims to identify students’ problems and tendency in using transition signals in academic writing. The data are gained from university students’ academic writing product which is built in a form of corpus. The data are then analysed by using corpus software (ant conc.3.2.4). Its implication on English Language Teaching (ELT) concerning the teaching of transition signals will also be addressed
Co-Authors Angela Gressensia Astika Laia Br Tarigan, Merry Susanty Christine Permata Sari, Christine Permata Claudia, Sarah Damayanti, Elok Dewi, Ni Putu Ratna Puspita Gressensia, Angela I Gede Budasi I Made Iwan Indrawan Jendra I Made Yogi Marantika Ida Bagus Subrahmaniam Saitya Kadek Ayu Ekasani Kadek Dwi Sentana Keramas, I Dewa Gede Agung Aditya Komang, Trisna Dewi Laia, Astika Made Yudiantara Risadi Mahardika, I Gusti Ngurah Agung Wijaya Marantika, I Made Yogi Maria Sihombing Merry Susanty Br Tarigan Ni Luh Kadek Utami Mega Ni Made Ratminingsih Ni Putu Cahyani Putri Utami Ni Putu Ratna Puspita Dewi Nurkamilah, Nurkamilah Putri Utami, Ni Putu Cahyani Putu Sabda Jayendra Sadewi, Ni Ketut Asta Denny Sarah Claudia Sari, Ni Luh Gede Nanda Paramita Sarsini, Kadek Jeniari Sihombing, Maria Suhardiana, I Putu Andre Wayan Thia Cahyani