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Hanxiang Du; Wanli Xing; Bo Pei – Interactive Learning Environments, 2023
Participating in online communities has significant benefits to students learning in terms of students' motivation, persistence, and learning outcomes. However, maintaining and supporting online learning communities is very challenging and requires tremendous work. Automatic support is desirable in this situation. The purpose of this work is to…
Descriptors: Electronic Learning, Communities of Practice, Automation, Artificial Intelligence
Olney, Andrew M. – Grantee Submission, 2022
Cloze items are a foundational approach to assessing readability. However, they require human data collection, thus making them impractical in automated metrics. The present study revisits the idea of assessing readability with cloze items and compares human cloze scores and readability judgments with predictions made by T5, a popular deep…
Descriptors: Readability, Cloze Procedure, Scores, Prediction
Siraprapa Kotmungkun; Wichuta Chompurach; Piriya Thaksanan – English Language Teaching Educational Journal, 2024
This study explores the writing quality of two AI chatbots, OpenAI ChatGPT and Google Gemini. The research assesses the quality of the generated texts based on five essay models using the T.E.R.A. software, focusing on ease of understanding, readability, and reading levels using the Flesch-Kincaid formula. Thirty essays were generated, 15 from…
Descriptors: Plagiarism, Artificial Intelligence, Computer Software, Essays
Michael J. D. Tulino – ProQuest LLC, 2024
Researchers have demonstrated a much-needed shift in pedagogical practices to incorporate literacy strategies. This dissertation provides additional empirical evidence to expand the body of research by utilizing a comparative readability analysis that examines the academic language of a popular calculus textbook. A sample from the published…
Descriptors: Mathematics Instruction, Reading Comprehension, Calculus, Academic Language
Stenger, Rachel; Olson, Kristen; Smyth, Jolene D. – Field Methods, 2023
Questionnaire designers use readability measures to ensure that questions can be understood by the target population. The most common measure is the Flesch-Kincaid Grade level, but other formulas exist. This article compares six different readability measures across 150 questions in a self-administered questionnaire, finding notable variation in…
Descriptors: Readability, Readability Formulas, Computer Assisted Testing, Evaluation Methods
Zainurrahman; Fazri Nur Yusuf; Didi Sukyadi – Journal of Education and Learning (EduLearn), 2024
Recently, the readability of texts has become the focus of reading research because it is believed to have implications for reading comprehension, which is of utmost importance in the field of English as a foreign language (EFL), particularly in the teaching, learning and assessment of reading comprehension. Unfortunately, the influence of text…
Descriptors: Readability, English (Second Language), Language Teachers, Reading Comprehension
Tugrul Gökmen Sahin; Mehmet Coskun – International Journal of Psychology and Educational Studies, 2023
The texts in the textbooks are one of the basic materials in terms of conveying elements such as achievement, value, and competence in the curriculum. The fact that the texts are suitable for the level of the students helps the students understand and analyze the text better. In this study, it is aimed at determining the readability levels of the…
Descriptors: Readability, Turkish, Textbooks, Anxiety
Wickerd, Garry; Tremblay, Sarah – Psychology in the Schools, 2021
Adaptive behavior rating scales are widely used assessments that ask teachers and parents to rate how well students care for themselves, interact with others, and exhibit practical and academic skills. While adaptive rating scales have yielded reliable and valid results, it is unclear how the readability of the rating forms may impact the results,…
Descriptors: Readability, Behavior Rating Scales, English, Spanish
Luo, Dehong; Gong, Jing; Li, Yifei – Educational Studies, 2022
Readability formulae have been used to predict text difficulty, but their construction has been challenged. Previous readability formula designers typically adopted correct responses to reading comprehension questions (RCQs) as dependent variables, but they did not assess the effect of linguistic predictors concerning RCQs in the formula. Thus,…
Descriptors: Reading Comprehension, Foreign Countries, Grade 7, Grade 8

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
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
Suwannakhan, Athikhun; Casanova-Martínez, Daniel; Yurasakpong, Laphatrada; Montriwat, Punchalee; Meemon, Krai; Limpanuparb, Taweetham – Anatomical Sciences Education, 2020
Forty anatomy articles were sampled from English Wikipedia and assessed quantitatively and qualitatively. Quantitatively, each article's edit history was analyzed by Wikipedia X-tools, references and media were counted manually, and two readability indices were used to evaluate article readability. This analysis revealed that each article was…
Descriptors: Encyclopedias, Collaborative Writing, Electronic Publishing, Anatomy
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; McNamara, Danielle S.; Crossley, Scott Andrew – Grantee Submission, 2021
The ability to objectively quantify the complexity of a text can be a useful indicator of how likely learners of a given level will comprehend it. Before creating more complex models of assessing text difficulty, the basic building block of a text consists of words and, inherently, its overall difficulty is greatly influenced by the complexity of…
Descriptors: Multilingualism, Language Acquisition, Age, Models
Gordon, Amber M.; Musick, Kurustun S.; King, Alison R.; Wallace, Erin Stehle – Journal of Special Education Apprenticeship, 2022
The purpose of this study is to examine the readability levels of the state departments of education guidance documents regarding COVID-19 protocols for families of students receiving special education services. The authors searched the 50 states and the District of Columbia's departments of education websites for their COVID-19, special…
Descriptors: COVID-19, Pandemics, Readability, Special Education
Rets, Irina; Coughlan, Tim; Stickler, Ursula; Astruc, Lluisa – Open Learning, 2023
Open Educational Resources aim to offer learning to all, yet the language level used in resources could be a barrier to many potential learners. This paper examines the readability of 200 OER courses in English from two major OER course platforms. We compared the means of readability metrics between these OER courses at different educational…
Descriptors: English Language Learners, Open Educational Resources, Readability, Readability Formulas