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Chat GPT in Constructivist Language Pedagogy: Exploring Its Potential and Challenges in Legal Vocabulary Acquisition | ||
Applied Research on English Language | ||
مقاله 7، دوره 12، شماره 4، بهمن 2023، صفحه 131-148 اصل مقاله (1.68 M) | ||
نوع مقاله: Research Article | ||
شناسه دیجیتال (DOI): 10.22108/are.2024.139708.2188 | ||
نویسندگان | ||
Md. Saiful Alam* 1؛ Adelina Asmawi2 | ||
1Assistant Professor, Department of English, World University of Bangladesh, Bangladesh | ||
2Associate Professor, Department of Language and Literacy Education, Universiti Malaya, Malaysia | ||
چکیده | ||
The advent of advanced artificial intelligence (AI) technology, represented by ChatGPT, has ushered in new possibilities in the realm of language learning and teaching. This pre-application pedagogic position study delves into the potential benefits and associated challenges of employing ChatGPT as a potent pedagogical instrument for the acquisition of legal vocabulary. The proposed pedagogy is based on the authors’ primary experiences with the use of ChatGPT for their personal and pedagogical purposes and an unsystematic application of the pedagogy in EAP classes for undergraduate students at a law school of a university in Bangladesh. Our pre-application proposed innovative ChatGPT-mediated approach to vocabulary instruction is theoretically grounded in constructivism in language teaching and (web) technology in constructivist language pedagogy. The proposed pedagogy utilizes online newspapers with legal terminology, creating an interactive learning environment that encourages active participation and covers pronunciation, meaning, and spelling. It leverages primary language word definitions, refines pronunciation, fosters bilingual comprehension, and enhances spelling proficiency, offering a comprehensive learning experience. However, the study also predicts that the implementation of ChatGPT-based language instruction may involve challenges related to educator proficiency, student participation, resource limitations, and technology requirements. This study not only underscores the value of ChatGPT in language education but also paves the way for future research and innovation in the field. | ||
کلیدواژهها | ||
ChatGPT؛ AI؛ Vocabulary؛ Law؛ EAP | ||
اصل مقاله | ||
Introduction Looking back, Chatbots have been explored in education since the early 1970s (Huang et al., 2022; Kim et al., 2022). These have also been explored as useful for language learning and teaching. From what Kohnke et al. (2023) explain, “rich input is essential for successful second language acquisition (p. 538) and they agree with other researchers that AI-driven chatbots can offer linguistic exposure and daily conversational exercises (Huang et al., 2022), and ignite the enthusiasm of language learners, (Fryer et al., 2019; Gallacher et al., 2018; Kohnke, 2022). Moreover, AI-driven chatbots can perform initial assessments and deliver prompt feedback (Huang et al., 2022; Kuhail et al., 2023), and these aspects are crucial elements in the effective process of language learning (Kohnke et al., 2023). The potential for chatbots in education (Limna et al., 2023), scholars and students The paper is anticipated to make a valuable contribution to the field of English Language Teaching (ELT) by presenting initial ideas on harnessing ChatGPT as a versatile and valuable tool for EFL pedagogical possibilities. Furthermore, it is expected that this paper will pave the way for researchers to further theorize and explore the integration of ChatGPT in ELT research. Our conceptual discussions revolve around the following two research questions:
Characterizing ChatGPT for Language Teaching ChatGPT is the most recent large language model (LML) and the most advanced and state-of-the-art chatbot (Rudolph et al., 2023). According to Kalla and Smith (2023), it is built upon various layers of transformers designed to process natural language text and generate coherent, human-like outputs. It is fed with a substantial corpus of text data, enabling it to learn patterns and relationships between words, phrases, and sentences. ChatGPT can perform tasks such as language translation and content generation across various genres and categories. These language task performance capabilities of ChatGPT hold significant potential for use as a tool in language teaching, offering assistance to both teachers and learners engaged in similar language generation tasks during the language acquisition process (Lambert et al., 2017). Consequently, ChatGPT is notably poised to enhance language learning by combining human language generation capacity with its ‘artificial language generation ability’ (Reiter & Dale, 1997). In its content generation function, ChatGPT engages in conversations with human users. The interaction typically begins with a human user inputting a prompt or question to ChatGPT, and ChatGPT responds with a written response. The conversation can then continue with additional inputs from the human user and subsequent responses from ChatGPT. This process operates within the theoretical framework of "reinforcement learning" (Kaelbling et al., 1996; Li, 2017; Arulkumaran et al., 2017; Wiering & Van Otterlo, 2012; François-Lavet et al., 2018), an artificial learning system that learns under the guidance of a knowledgeable teacher who instructs the system on how to respond to a set of training stimuli (Barto, 1997).
Capturing ChatGPT and Language Teaching in the Literature Globally, ChatGPT is now being recognized as a novel dimension in language teaching
Theorizing the Proposed ChatGPT-Integrated Vocabulary Teaching This study is grounded in constructivism in language learning (Suhendi, 2018; Kaufman, 2004; Aljohani, 2017) and also in constructivism related to web-based, technology-based, and online teaching and learning of language (Felix, 2002; Tuncer, 2009; Rüschoff & Ritter, 2001; Kaya, 2015). Within the context of these theories, how ChatGPT can be utilized for active, collaborative, and personalized language learning in higher education is explained, following Rasul et al. (2023). In contrast to traditional passive reception and delivery of knowledge, the constructivist theory of learning emphasizes learners' active participation and construction of knowledge through experiential learning. In order to make learners more active and improve their learning experiences while encouraging the development of communicative skills in the target language, constructivist pedagogy is strongly considered (Kaya, 2015). As the current social and personal life is influenced a lot by technology and the internet, a social constructivist approach to teaching language is generally advocated to integrate technology into language pedagogy (Isik, 2018). The integration of technology, such as ChatGPT, represents an effective innovation in constructivist language pedagogy. From this perspective, the integration of ChatGPT in vocabulary teaching can also be highly effective. ChatGPT functions through human-machine interaction and conversational activities. Therefore, ChatGPT can serve as a valuable tool for facilitating students' development of communicative skills and enabling them to reflect on their own learning experiences, aligning with the key goals of constructivist pedagogy with technology integration. The potential of web technologies, such as Voice Chat, to enhance language teaching was acknowledged two decades ago (Felix, 2002). It may be considered that web technology ChatGPT has emerged to further expand upon that value in language education. Yang and Wilson (2006) explain that the dialogical approach to teaching reading fits within the social constructivist theory, wherein students actively engage with the text and the authors in the process of meaning-making. As ChatGPT possesses dialogic capabilities, it can assist students in the process of understanding and interpreting vocabulary within instructional texts by mediating between the text and human learners. One more crucial aspect of the constructivist approach to teaching and learning is the utilization of technology. It empowers students by providing them with access to information (Isik, 2018). In this regard, ChatGPT exhibits strong potential for vocabulary instruction. It can offer extensive access to linguistic information, including the meanings of vocabulary words, as well as insights into their spelling and pronunciation.
Outline of the Proposed ChatGPT (3.5) -Integrated Vocabulary Teaching Approach Our initial perspective is underpinned by the concept that legal vocabulary essentially shares commonalities with everyday language, and the grammatical structures used in legal terminology are often similar to those in general vocabulary, as suggested by Mattila (2012). This notion prompts us to consider newspapers as a potential source of legal vocabulary, given that they frequently cover crimes and events involving legal matters in one way or another and the general public reads them and understands the legal terms. In this context, Hrdlicková (2020) highlights that students, lawyers, and pre-service lawyers can acquaint themselves with both national and international legal systems by encountering legal terminology within newspapers and legal magazines. However, it is worth noting that, as Mattila (2012) argues, legal vocabulary may also have denotations specific to legal culture. Consequently, our preliminary hypothesis is that the integration of online national and international newspapers and magazines can be an effective approach to learning legal vocabulary, with the assistance of ChatGPT to facilitate comprehension. Undergraduate students have the potential to acquire substantial vocabulary related to national and international laws, and legal proceedings not only within the courts and legal practices, but also encompassing legal aspects associated with national and international business, rights, politics, constitutions, and other various and relevant areas. If asked, we can recommend "LOCAL12," an international, free, online newspaper that frequently covers news related to crimes, violations, and legal matters (Figure 1).
Figure 1. The Initial Page of the Online Newspaper "Local12" (accessed on 15/10/23) Featuring Multiple News Articles Reporting Incidents such as Homicide, Assaults, Arrests, and Accidents The teacher can display a news report on the screen using an overhead projector. Subsequently, they select a news article that includes legal terminology. Next, the teacher instructs the students to read the news, and identify and note down the legal words in their books. Since the news includes pictures and videos, these visual aids assist students in comprehending the text and predicting the meanings of some of the unfamiliar words. The teacher can even play the video so that it adds an oral explanation of the news content (Figure 2).
Figure 2. A Beginning Part of the Detailed News, Accompanied by Images and Video, Focusing on a Homicide
Students then list the known legal words. ChatGPT then spots the potential unknown ones. The teacher can then copy the next text and paste it into another tab of ChatGPT.
Figure 3. Conversation between a Teacher and ChatGPT on Identifying and Compiling Legal Terms from the Provided News
Figure 4. A List of Legal Words and Lexis Identified and Listed by ChatGPT from the Provided News Learning vocabulary entails understanding three key aspects: pronunciation, meaning, and spelling. Students frequently encounter challenges when attempting to grasp all of these aspects simultaneously (Vadasy & Sanders, 2015; Ehri & Rosenthal, 2007). None of these three aspects should be overlooked, as they serve as facilitators for vocabulary acquisition
Figure 5. List of Legal Words with Corresponding Meanings and Pronunciation Transcriptions in Bangla
Students should then open both the ChatGPT given list of words with meanings in the primary language and the news tab side by side so that students can re-read the text and simultaneously take a look at the word meanings. This helps them understand the news in context and in return, the meaning of the words becomes clearer (Figure 6).
Figure 6. LOCAL12 News and ChatGPT-generated Word Lists with Meanings Displayed Side by Side on the Screen for Students
ChatGPT may get some pronunciation wrong when it transcribes the meanings in a language other than English. In that case, teachers should conduct an oral drill and correct the pronunciation of the words that ChatGPT has got wrong. Teachers’ commenting on wrong pronunciations and giving them correct pronunciation act as an error correction task that often has positive effects on students’ language skill development (Ferris, 2006; Truscott, 2007; Khansir & Pakdel, 2018).
Figure 7. Incorrect Pronunciation Transcripts of Legal Words with Meanings in Bangla, Generated by ChatGPT from the Provided News The teacher should now ask ChatGPT to provide the English meanings of the listed words. We take into consideration the theoretical framework suggesting an interdependent relationship between students' primary language and the development of the target language (Cummins, 1981). Obtaining the meanings in the primary language assists students in comprehending the meanings of legal terms in the English target language more easily
Figure 8. List of Legal Words with Meanings in the Target Language i.e., English
Law students are future legal practitioners who are tasked with writing numerous legal documents, thus necessitating a strong command over the correct spellings of legal terminology. In this context, teachers should turn to ChatGPT for mnemonic spelling devices for the provided list, as these mnemonics offer valuable aids for memory schema development in language learners and help retain vocabulary (Ehri & Wilce, 1979; Rosenthal & Ehri, 2008; Hill, 2022). When ChatGPT supplies the mnemonic spellings for these legal words, teachers can introduce them to students in a fun and engaging manner, making the process of learning and remembering these spellings more effective and enjoyable (Figure 9).
Figure 9. Mnemonic Spellings of Legal Words Provided by ChatGPT
Some Challenges The implementation of AI literacy in both teachers and students is crucial. While teachers need a strong understanding of ChatGPT through firsthand experience, students also need to be proficient in using it, driven by their motivation. Researchers identify teachers’ own ability and teacher education of using ChatGPT for instruction purposes as key prerequisites (e.g., Jeon & Lee, 2023; Nash et al., 2023) for involving ChatGPT and students in language teaching and learning. A potential challenge may be that participation in the class may be limited due to some students lacking the necessary motivation and experience in ChatGPT and educational technology. Resource-related constraints are another consideration. Internet interruptions can disrupt ChatGPT-based vocabulary teaching, as the method heavily relies on a stable internet connection. Power outages could also bring the teaching method to a standstill, requiring waiting as the only solution. Moreover, the method requires students to have a smart mobile phone, which may not be feasible in low-resource environments. Additionally, internet access, smartphones, and subscriptions to online newspapers or magazines are needed for vocabulary learning with ChatGPT, both in the classrooms and for homework and practice assignments.
Conclusion With the emergence of the latest AI technology, ChatGPT, the potential for exploration in language learning and teaching has expanded significantly. This post-application position paper examines the implications of ChatGPT as a valuable pedagogical tool for legal vocabulary learning, as well as the potential challenges associated with its use. The ChatGPT-mediated innovative vocabulary instruction method involves the integration of online newspapers and the selection of news content containing everyday legal vocabulary, with the simultaneous assistance of ChatGPT. This approach ensures that teaching becomes interactive and engaging, incorporating visual aids and encouraging active engagement in learning legal terminology. Students actively participate with the assistance of ChatGPT, identifying and recognizing legal terminology throughout the news content. Furthermore, this method emphasizes comprehensive vocabulary learning, focusing on three key aspects: pronunciation, meaning, and spelling. The activities encompass enhancing vocabulary comprehension through the use of word definitions in students' primary language, followed by pronunciation refinement with the collaboration of ChatGPT and the teacher. Additionally, it involves bilingual word meanings with ChatGPT, leveraging the primary language for a deeper understanding of legal terminology in English. Lastly, ChatGPT plays a pivotal role in enhancing spelling proficiency in legal terminology through the application of mnemonic spelling techniques. This multifaceted approach harnesses ChatGPT's capabilities to facilitate a comprehensive and effective learning experience. Implementing ChatGPT-based language instruction comes with its challenges and prerequisites. Teachers must be well-equipped with the skills to use ChatGPT effectively for instruction. Additionally, challenges such as limited student participation, resource-related constraints, and the need for students to possess specific technology and internet access may hinder the smooth implementation of this innovative teaching approach. The study opens the door for further research into the use of AI, like ChatGPT, in language education. It encourages educators to explore the integration of AI tools to foster language skill development, and it lays the groundwork for future innovations in language pedagogy. | ||
مراجع | ||
Aljohani, M. (2017). Principles of “constructivism” in foreign language teaching. Journal of Literature and Art Studies, 7(1), 97-107. https://10.17265/2159-5836/2017.01.013
Anderson, L. W., Krathwohl, D. R., & Bloom, B. S. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's Taxonomy of educational objectives. Longman.
Arulkumaran, K., Deisenroth, M. P., Brundage, M., & Bharath, A. A. (2017). Deep reinforcement learning: A brief survey. IEEE Signal Processing Magazine, 34(6), 26-38. 10.1109/MSP.2017.2743240
Barto, A. G. (1997). Reinforcement learning. In Neural systems for control (pp. 7-30). Academic Press.
Baskara, R. (2023). Exploring the implications of ChatGPT for language learning in higher education. Indonesian Journal of English Language Teaching and Applied Linguistics, 7(2), 343-358. http://dx.doi.org/10.210 93/ijeltal.v7i2.1387
Bin-Hady, W. R. A., Al-Kadi, A., Hazaea, A., & Ali, J. K. M. (2023). Exploring the dimensions of ChatGPT in English language learning: A global perspective. Library Hi Tech. https://doi.org/10.1108/LHT-05-2023-0200
Coxhead, A., & Byrd, P. (2007). Preparing writing teachers to teach the vocabulary and grammar of academic prose. Journal of second language writing, 16(3), 129-147. https://doi.org/10.1016/j.jslw.2007.07.002
Cummins, J. (1981). The Role of Primary Language IhvelopMent in Promoting Educational. Schooling and language minority students: A theoretical framework, 16. https://files.eric.ed.gov/fulltext/ED249773.pdf#page=16
dos Santos, A.E., Olesova, L., Vicentini, C., & de Oliveira, L. C. (2023). ChatGPT in ELT: Writing affordances and activities. TESOL Connections. http://newsmanager.commpartners.com/tesolc/print/2023-05-01/2.html
Ehri, L. C., & Rosenthal, J. (2007). Spellings of words: A neglected facilitator of vocabulary learning. Journal of Literacy Research, 39(4), 389-409.
Ehri, L. C., & Wilce, L. S. (1979). The mnemonic value of orthography among beginning readers. Journal of Educational Psychology, 71(1), 26. https://doi.org/10.1037/0022-0663.71.1.26
Felix, U. (2002). The web as a vehicle for constructivist approaches in language teaching. ReCALL, 14(1), 2-15. https://doi.org/10.1017/S0958344002000216
Ferris, D. (2006). Does error feedback help student writers? New evidence on the short-and long-term effects of written error correction. Feedback in second language writing: Contexts and issues, 81104. https://doi.org/10.1017/CBO9781139524742.007
Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt. 2023.6.1.22
François-Lavet, V., Henderson, P., Islam, R., Bellemare, M. G., & Pineau, J. (2018). An introduction to deep reinforcement learning. Foundations and Trends® in Machine Learning, 11(3-4), 219-354. http://dx.doi.org/10.1561/2200000071 Fryer, L. K., Nakao, K., & Thompson, A. (2019). Chatbot learning partners: Connecting learning experiences, interest and competence. Computers in Human Behavior, 93, 279-289. https://doi.org/10.1016/j.chb.2018.12.023 Gallacher, A., Thompson, A., Howarth, M., Taalas, P., Jalkanen, J., Bradley, L., & Thouësny, S. (2018). “My robot is an idiot!”–Students’ perceptions of AI in the L2 classroom. Future-proof CALL: language learning as exploration and encounters–short papers from EUROCALL, 70-76. https://doi.org/10.14705/rpnet.2018.26.815
Hill, A. C. (2022). The Effectiveness of Mnemonic Devices for ESL Vocabulary Retention. English Language Teaching, 15(4), 6-15. URL: https://doi.org/10.5539/elt.v15n4p6
Hinkel, E. (2003). Teaching academic ESL writing: Practical techniques in vocabulary and grammar. Routledge.
Hong, W. C. H. (2023). The impact of ChatGPT on foreign language teaching and learning: opportunities in education and research. Journal of Educational Technology and Innovation, 5(1). https://jeti.thewsu.org/index.php/cieti/article/view/103/64
Hrdlicková, Z. (2020). Business and Law Vocabulary Acquisition in the ESP Classroom. Advanced Education, 14, 56-65. https://files.eric.ed.gov/fulltext/EJ1297701.pdf
Huang, W., Hew, K. F., & Fryer, L. K. (2022). Chatbots for language learning—Are they really useful? A systematic review of chatbot supported language learning. Journal of Computer Assisted Learning, 38(1), 237-257. https://doi.org/10.1111/jcal.12610
Isik, A. D. (2018). Use of technology in constructivist approach. Educational Research and Reviews, 13(21), 704-711. https://doi.org/10.5897/ERR2018.3609
Jeon, J., & Lee, S. (2023). Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT. Education and Information Technologies, 1-20. https://doi.org/10.1007/s10639-023-11834-1
Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996). Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4, 237-285. https://doi.org/10.1613/jair.301 Kalla, D., & Smith, N. (2023). Study and Analysis of Chat GPT and its Impact on Different Fields of Study. International Journal of Innovative Science and Research Technology, 8(3). https://ssrn.com/abstract=4402499
Kaufman, D. (2004). 14. Constructivist issues in language learning and teaching. Annual review of applied linguistics, 24, 303-319. https://doi.org/10.1017/S0267190504000121
Kaya, H. (2015). Blending technology with constructivism: Implications for an ELT classroom. Teaching English with Technology, 15(1), 3-13. https://www.ceeol.com/search/article-detail?id=166911
Khansir, A. A., & Pakdel, F. (2018). Place of error correction in English language teaching. Educational Process: International Journal, 7(3), 189-199. https://www.ceeol.com/search/article-detail?id=702434
Kim, H., Yang, H., Shin, D., & Lee, J. H. (2022). Design Principles and Architecture of a Second Language Learning Chatbot. Language Learning & Technology, 26(1), n1. http://hdl.handle.net/10125/73463
Kohnke, L. (2022). A pedagogical chatbot: A supplemental language learning tool. RELC Journal, Epub Online. https://doi.org/10.1177/00336882211067054
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for Language Teaching and Learning. RELC Journal, 54(2), 537-550. https://doi.org/10.1177/00336882231162868
Kuhail, M. A., Alturki, N., Alramlawi, S., & Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. https://doi.org/10.1007/s10639-022-11177-3 Lambert, C., Philp, J., & Nakamura, S. (2017). Learner-generated content and engagement in second language task performance. Language Teaching Research, 21(6), 665-680. https://doi.org/10.1177/1362168816683559
Li, Y. (2017). Deep reinforcement learning: An overview. arXiv preprint arXiv:1701.07274. https://doi.org/10.48550/arXiv.1701.07274
Limna, P., Kraiwanit, T., Jangjarat, K., Klayklung, P., & Chocksathaporn, P. (2023). The use of ChatGPT in the digital era: Perspectives on chatbot implementation. Journal of Applied Learning and Teaching, 6(1). https://journals.sfu.ca/jalt/index.php/jalt/index
Mattila, H. E. (2012). Legal vocabulary. In The Oxford handbook of language and law (pp. 27-38). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199572120. 013.0003
Nash, B. L., Hicks, T., Garcia, M., Fassbender, W., Alvermann, D., Boutelier, S., ... & Young, C. (2023). Artificial Intelligence in English Education: Challenges and Opportunities for Teachers and Teacher Educators. English Education, 55(3), 201-206. https://www.proquest.com/docview/2847079516?pq-origsite=gscholar&fromopenview=true
Rasul, T., Nair, S., Kalendra, D., Robin, M., de Oliveira Santini, F., Ladeira, W. J., ... & Heathcote, L. (2023). The role of ChatGPT in higher education: Benefits, challenges, and future research directions. Journal of Applied Learning and Teaching, 6(1). https://www.researchgate.net/profile/Tareq-Rasul/publication/370658841_The_Role _of_ChatGPT_in_Higher_Education_Benefits_Challenges_and_Future_Research_Directions/links/645c9669f43b8a29ba42dbcb/The-Role-of-ChatGPT-in-Higher-Education-Benefits-Challenges-and-Future-Research-Directions.pdf
Reiter, E., & Dale, R. (1997). Building applied natural language generation systems. Natural Language Engineering, 3(1), 57-87. https://doi.org/10.1017/S1351324997001502
Rosenthal, J., & Ehri, L. C. (2008). The mnemonic value of orthography for vocabulary learning. Journal of Educational Psychology, 100(1), 175. https://doi.org/10.1037/0022-0663.100.1.175
Rudolph, J., Tan, S., & Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?. Journal of Applied Learning and Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.9
Rüschoff, B., & Ritter, M. (2001). Technology-enhanced language learning: Construction of knowledge and template-based learning in the foreign language classroom. Computer assisted language learning, 14(3-4), 219-232. https://doi.org/10.1076/call.14.3.219.5789
Suhendi, A. (2018). Constructivist learning theory: The contribution to foreign language learning and teaching. KnE Social Sciences, 87-95. https://doi.org/10.18502/kss.v3i4.1921
Truscott, J. (2007). The effect of error correction on learners’ ability to write accurately. Journal of second language Writing, 16(4), 255-272. https://doi.org/10.1016/j.jslw.2007.06.003
Tuncer, C. A. N. (2009). Learning and teaching languages online: A constructivist approach. Novitas-ROYAL (Research on Youth and Language), 3(1). https://dergipark.org.tr/en/download/article-file/111879
Vadasy, P. F., & Sanders, E. A. (2015). Incremental learning of difficult words in story contexts: The role of spelling and pronouncing new vocabulary. Reading and Writing, 28, 371-394. https://doi.org/10.1007/s11145-014-9529-9 Wiering, M. A., & Van Otterlo, M. (2012). Reinforcement learning. Adaptation, learning, and optimization, 12(3), 729. Springer: Heidelburg. https://doi.org/10.1007/978-3-642-27645-3
Yang, L., & Wilson, K. (2006). Second language classroom reading: A social constructivist approach. The Reading Matrix, 6(3). https://www.readingmatrix.com/articles/ yang_wilson/article.pdf | ||
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