English in the South African language‐in‐education policy on higher education

Ngcobo, Mtholeni N.; Barnes, Lawrie

doi:10.1111/weng.12474

Cited by 7 publications

(3 citation statements)

References 24 publications

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“…English education in colleges and universities focuses on cultivating talents with active thinking and excellent English language skills, and in order to develop students with active thinking, the teaching methods should also be characterized by openness and freedom [6][7][8]. Cross-language embedded model in English teaching in colleges and universities strengthens the effective communication between teachers and students, which can lay a solid foundation for the smooth implementation of professional English teaching, construct a harmonious teacher-student relationship, realize the mutual growth of teaching and learning, teachers and students make progress together, and enhance the teachers' professional teaching ability while also enhancing the students' core qualities and professional competence so that the students can maintain their interest in professional English learning [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Optimization Strategies and Efficacy Evaluation of Cross-Language Embedding Model in Teaching English in Colleges and Universities

Liu

2024

Applied Mathematics and Nonlinear Sciences

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With the trend of information technology, contemporary English language teaching is moving positively in the direction of intelligence. This study utilizes the text embedding model to represent language and convert it into a format that computers can process. Through the methods of adversarial training and self-learning training and adding the fine-tuning process to improve the effect of cross-linguistic word vectors, the machine reading comprehension and translation model is constructed to ensure the semantic consistency between it and the input source text. Meanwhile, this study combines the model to implement an innovative teaching model of English in colleges and universities and evaluates its effectiveness. The results show that the effectiveness of the proposed method in this paper on this indicator has been narrowed to a gap of 11.48%, which significantly confirms the effectiveness of the proposed model. In the direction of E2C, the cross-linguistic embedding model has the highest average F1 score (0.894). The average score of class 1 results is 82.6843, corresponding to a critical confidence level of 0.036<0.05, which indicates that there is a significant difference between the results of class 1 and class 2. The reference value of this study is important for English teaching and related system development in colleges and universities.

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Section: Introductionmentioning

confidence: 99%

Optimization Strategies and Efficacy Evaluation of Cross-Language Embedding Model in Teaching English in Colleges and Universities

Liu

2024

Applied Mathematics and Nonlinear Sciences

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“…With the continuous promotion of vocational education reform, English education is paying more and more attention to the cultivation of students' vocational abilities [1][2]. How to improve the teaching design around the students' competence needs and improve teachers' job competence and employment competitiveness has become an important issue in front of English teachers at this stage [3].…”

Section: Introductionmentioning

confidence: 99%

Design of a Competency Assessment System for English Teaching Positions Based on the SERVQUAL Model

Liu

2023

Applied Mathematics and Nonlinear Sciences

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This paper first introduces the SERVQUAL model and establishes generalized indicators, including four aspects of moral character, integrity quality, work ability and work attitude. Subsequently, an information sampling model was constructed to obtain information on the job competence constraint parameters, which provided the necessary data support for the assessment. On the basis of information fusion and time series analysis, a quantitative recursive assessment of English education job competence was carried out using the gray model to obtain the feature extraction results of the job competence assessment and finally to determine the probability density generalized function of English teaching job competence. The assessment results show that the accuracy of the SERVQUAL model is up to 98%, and the combination weight value of interaction ability is the highest, reaching 0.1266. The correlation coefficient of teaching job competence reaches 0.925, and the overall importance evaluation of teachers’ teaching competence is the highest at 93 points, which highlights the high efficiency and accuracy of the assessment system.

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“…The use of multilingualism in higher education institutions was motivated by the fact that student performance is affected by the language used to access information (Mthombeni & Ogunnubi, 2021). In an attempt to strengthen the pedagogy and learning experience of scholars, the University of KwaZulu-Natal (UKZN) has adopted a language policy that adds isiZulu as a second official language to complement English to support teaching and learning processes (Ngcobo & Barnes, 2021). The Department of Education notes that South African educational institutions have adequate funding and resources to adopt and implement language policies although most institutions are still unresponsive to this (Cele, 2021;du Plessis et al, 2022).…”

Section: Chapter 0ne: Introduction To the Study 11 Introduction And B...mentioning

confidence: 99%

Perceptions of the use of IsiZulu Termbank Technology at University of KwaZulu-Natal.

Hadebe

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I extend my heartfelt gratitude to Dr. Jere for his unwavering support and continuous availability for consultation. His tireless dedication to assisting me, even beyond regular working hours, has been truly remarkable. Under his expert supervision, I have acquired invaluable knowledge and skills. Thank you immensely, Dr. Jere, for everything you have done for me. Working under your supervision has been an honour and a privilege, and I am grateful for the opportunity. Prof. Irene Govender, my cosupervisor, deserves my sincere gratitude for her great mentoring, constant support, helpful counsel, and insightful recommendations that have shaped my research career. I am grateful for her knowledge and constant support, which have considerably aided my academic progress and development. To Dr.Jere and Prof. Govender (my supervisors), I would have given up without your patience and support.My thanks go to you for your wise and attentive supervision, as well as your knowledge and patience.I am truly appreciative of the invaluable assistance provided by the University Language Planning and Development Office (ULPDO) during the data collection process. Their support and contribution to my research were of utmost importance, playing a vital role in the successful completion of this project.Most importantly, moral support is of utmost importance. My family and friends have extended their unconditional support and encouragement to me throughout my journey. This is a perfect opportunity for me to express my profound appreciation for their unwavering and wholehearted support. Their steadfast commitment and unconditional assistance have been instrumental in my journey, and I am genuinely grateful for their unwavering dedication. A special thank you is extended out to Nokubonga Mthembu for dedicating his time to me and ensuring that I was able to get what I asked for.I extend my heartfelt thanks to each and every individual who has contributed in diverse ways to this study. Each and every individual involved has played a significant role, and I extend a special thanks to each one of them. Your contributions have been invaluable, and I am truly grateful for your support.

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English in the South African language‐in‐education policy on higher education

Cited by 7 publications

References 24 publications

Optimization Strategies and Efficacy Evaluation of Cross-Language Embedding Model in Teaching English in Colleges and Universities

Optimization Strategies and Efficacy Evaluation of Cross-Language Embedding Model in Teaching English in Colleges and Universities

Design of a Competency Assessment System for English Teaching Positions Based on the SERVQUAL Model

Perceptions of the use of IsiZulu Termbank Technology at University of KwaZulu-Natal.

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