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Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
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Guido Lang; Tamilla Triantoro; Jason H. Sharp – Journal of Information Systems Education, 2024
This study explores the potential of large language models (LLMs), specifically GPT-4 and Gemini, in generating teaching cases for information systems courses. A unique prompt for writing three different types of teaching cases such as a descriptive case, a normative case, and a project-based case on the same IS topic (i.e., the introduction of…
Descriptors: Computational Linguistics, Computer Software, Artificial Intelligence, Readability Formulas
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Ya-Mei Chen – Interpreter and Translator Trainer, 2024
This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…
Descriptors: Translation, Metacognition, Second Languages, Language Processing
UK Department for Education, 2024
This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Computational Linguistics
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Alhusban, Hamdallah A.; Torki, Saad – TESOL International Journal, 2021
This paper presents a novel methodology to determine textbook readability. The method mainly relies on students' lexical coverage to determine the readability level of textbooks, taking into consideration that readability depends primarily on vocabulary knowledge and that it is a function of lexical coverage in teaching English as a Foreign…
Descriptors: Textbooks, Readability, Second Language Learning, Second Language Instruction
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Chou, Shih Yung; Luo, Jiaxi; Ramser, Charles – Journal of International Education in Business, 2021
Purpose: The purpose of this study is to examine student sentiments regarding high-quality vs low-quality teaching. Design/methodology/approach: This study uses a text mining technique to identify the positive and negative patterns of student sentiments from student evaluations of teaching (SET) provided on Ratemyprofessors.com. After identifying…
Descriptors: Educational Quality, Student Attitudes, Positive Attitudes, Negative Attitudes
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Neofytou, Chrystalla; Hadzilacos, Thanasis – Journal of Educational Computing Research, 2018
Viewing its use in language teaching mainly as a text corpus, this article examines the problem of the assessment of suitability of this material for use in the Greek language course in Cyprus schooling. The suitability of texts for use in language teaching is defined by four parameters, which are described in detail in this article: text…
Descriptors: Greek, Usability, Computational Linguistics, Foreign Countries
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Taylor, Z. W. – Journal of Student Affairs Research and Practice, 2019
Research suggests that L2 students (English-language learners) do not access postsecondary education as the same level as L1 (native English-speaking) peers. Using a computational linguistics approach, this study analyzes financial aid application instructions from 341 randomly selected four-year, Title IV-participating U.S. institutions. Results…
Descriptors: Student Financial Aid, Second Language Learning, Achievement Gap, Academic Achievement
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Goh, Tiong-Thye; Sun, Hui; Yang, Bing – Computer Assisted Language Learning, 2020
This study investigates the extent to which microfeatures -- such as basic text features, readability, cohesion, and lexical diversity based on specific word lists -- affect Chinese EFL writing quality. Data analysis was conducted using natural language processing, correlation analysis and stepwise multiple regression analysis on a corpus of 268…
Descriptors: Essays, Writing Tests, English (Second Language), Second Language Learning