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Ping Zhao; Chunling Sun; Baojun Lv; Lan Guo; Jiansheng Gao; Xin Zhao; Fengming Jiao – International Journal of Information and Communication Technology Education, 2024
This paper discusses the application value of the writing teaching mode combined with the mixed teaching mode in college English writing teaching against the background of big data. Focusing on production-oriented approach (POA) theory, this paper proposes a mixed learning writing model for English teaching and applies the POA mixed learning…
Descriptors: Writing Instruction, Blended Learning, Data Analysis, Data Collection
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Lisa Haake; Sebastian Wallot; Monika Tschense; Joachim Grabowski – Reading and Writing: An Interdisciplinary Journal, 2024
Recurrence quantification analysis (RQA) is a time-series analysis method that uses autocorrelation properties of typing data to detect regularities within the writing process. The following paper first gives a detailed introduction to RQA and its application to time series data. We then apply RQA to keystroke logging data of first and foreign…
Descriptors: Writing (Composition), Keyboarding (Data Entry), Word Processing, Writing Processes
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Lili Qin; Weixuan Zhong; Hugh C. Davis – International Journal of Web-Based Learning and Teaching Technologies, 2023
In response to the problem of inaccurate classification of big data information in traditional English teaching ability evaluation algorithms, this paper proposes an English teaching ability estimation algorithm based on big data fuzzy K-means clustering. Firstly, the article establishes a constraint parameter index analysis model. Secondly,…
Descriptors: Data Analysis, Data Collection, Algorithms, Teacher Evaluation
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Hongyan Xi; Dongyan Sang – International Journal of Information and Communication Technology Education, 2024
By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Higher Education
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Lucy Pickering; Eric Friginal; Shigehito Menjo – Language Learning, 2025
This paper examines outsourced call center interactions to illustrate how these contexts can enhance pronunciation analysis and training. Public opinion in the United States and the United Kingdom regarding the perceived "pronunciation problems" of agents based in call centers in Outer-Circle English-speaking countries is typically…
Descriptors: Suprasegmentals, Intercultural Communication, Telecommunications, Pronunciation
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Shanshan Yan; Jiajia Liu – International Journal of Web-Based Learning and Teaching Technologies, 2023
College English teaching should give full play to the important role of network resources, implement the student-centered network autonomous learning model, and give full play to learners' autonomous learning potential. At present, although some universities have tried this new model, its application in college English lacks practical research.…
Descriptors: Foreign Countries, Data Collection, Data Analysis, English (Second Language)
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Pei Wang – International Journal of Information and Communication Technology Education, 2024
In today's university era, reforming the English teaching model has become a major research topic for researchers. Based on this, this paper adopts a hierarchical and progressive model construction method to further explore the reform model of university English teaching in the context of educational ecology. First, this paper discusses the…
Descriptors: English (Second Language), Second Language Instruction, Educational Change, Change Strategies
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J. Vincent Nix; Yi-Chin Wu; Lan Misty Song; Joseph D. Levy – Research & Practice in Assessment, 2024
Traditionally, assessment professionals use analyses relying upon null hypothesis significance testing (NHST), but those tools have limitations when analyzing small samples or disaggregated data. This study used common NHST analytical techniques, compared their results, and then explored an alternative technique that perhaps allows for a more…
Descriptors: Sample Size, Statistical Significance, MOOCs, Geographic Location
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Bakhshi, Hossein; Weisi, Hiwa; Yousofi, Nouroddin – Journal of Applied Research in Higher Education, 2022
Purpose: This paper explores the challenges of conducting qualitative research from ELT (English Language Teaching) Ph.D. candidates' perspectives. Design/methodology/approach: The participants of the study consisted of 30 Iranian Ph.D. students majoring in ELT. The semi-structured interview was employed to investigate the heart of experiences,…
Descriptors: Graduate Students, Student Attitudes, Second Language Instruction, English (Second Language)
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Yanhui Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and…
Descriptors: Algorithms, College Students, English (Second Language), Reading Ability
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Zhao, Yijun; Xu, Qiangwen; Chen, Ming; Weiss, Gary M. – International Educational Data Mining Society, 2020
Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…
Descriptors: Grade Prediction, Data Analysis, Masters Programs, Admission Criteria
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Mohamed, Zahra – Waikato Journal of Education, 2022
Qualitative data analysis (QDA) is often depicted as a linear process that employs an organised structure to derive themes inductively or deductively. However, I realised the "messiness" of the process during my doctoral studies on primary teachers' use of digital technologies in ESL classrooms in Maldivian schools. My own experience…
Descriptors: Qualitative Research, Data Analysis, Doctoral Programs, Educational Technology
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Lexi Xiaoduo Li – Journal of Psycholinguistic Research, 2024
The research aims to enhance the handling of modal verbs (MVs) in EFL textbooks by leveraging perspectives from corpora that include both native speakers' language data and the language data of individuals who are learning the language. To assess the authenticity of language in textbooks, an analysis between the native corpus and a collection of…
Descriptors: Textbook Evaluation, Textbook Content, Design, Native Speakers
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Strong, Kimberly Ann; Escamilla, Kathy – Bilingual Research Journal, 2020
Federal law requires states and school districts to institute accountability systems that report disaggregated student data to ensure that all children make academic progress. However, one of the mandated categories for disaggregation -- English Learner (EL) -- is reported as a single group despite representing students who are beginning,…
Descriptors: Language Proficiency, Accountability, Academic Achievement, English Language Learners
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Ilic, Peter – International Association for Development of the Information Society, 2019
This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…
Descriptors: Active Learning, Handheld Devices, Telecommunications, Blended Learning
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