This study examines the impact of authentic versus modified text on L2 Turkish learners' reading comprehension. A total of 230 B1-level Turkish language learners were randomly divided into two groups: one reading a modified text (n = 115) and the other an authentic text (n = 115). Both groups completed a surface-level reading comprehension test.…

Solving a math word problem (MWP) requires understanding the mathematical components of the problem and an ability to decode the text. For some students, lower reading comprehension skills may make engagement with the mathematical content more difficult. Readability formulas (e.g., Flesch Reading Ease) are frequently used to assess reading…

Selecting the appropriate texts as the authentic material for English teaching, particularly at the university level, matched with students' mastery level is still challenging. This study attempts to investigate the readability level of reading texts through the framework of Systemic Functional Linguistics (SFL) issued by ChatGPT, focused on…

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…

The effectiveness of English Language Teaching (ELT) materials significantly influences the learning outcomes of English as a Foreign Language (EFL) learners, positioning these resources as cardinal in the acquisition process. Despite this widely acknowledged significance, there remains a notable gap in research concerning the evaluation of key…

In this investigation, we examine the contribution of intrinsic content density (ICD) to measures of expository text processing. In Studies 1 and 2, the factor structure of select text density metrics was examined and refined using two text samples (Ns = 150) randomly selected from an expository text corpus. Scores on the ICD measure based on the…

Educators often inquire about the readability of books and other documents used in the classroom, with the idea that readability supports students' reading comprehension and growth. Documents used in classrooms tend to be language-based, so readability metrics have long focused on the complexity of language. However, such metrics are unsuitable…

Reading texts may serve as a vital source of informational content and language knowledge for second language (L2) learners, which is known as the dual relevance of L2 reading (Han & D'Angelo, 2009). Text complexity, however, influences the two, determining to a great extent whether the dual outcome is attainable. Drawing on Complex Dynamic…

The aim of this experiment was to investigate how glossing influences second language (L2) reading comprehension in relation to text difficulty and the two local and global meaning representations. Fifty-eight undergraduate students were asked to read three easy, moderate, and difficult texts and, following each passage, answer twenty…

Reading is regarded as one of the basic learning processes that provides multiple skills and abilities for daily life. The study reported on here arose from evidence of reading comprehension difficulties of middle school students in Colombia, and from reflection on the didactic strategies used for the promotion and teaching of reading. The purpose…

Estimating the difficulty of reading tests is critical in second language education and assessment. This study was aimed at examining various text features that might influence the difficulty level of a high-stakes reading comprehension test and predict test takers' scores. To this end, the responses provided by 17,900 test takers on the reading…

For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…

For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…

Comparing language tests and test preparation materials holds important implications for the latter's validity and reliability. However, not enough studies compare such materials across a wide range of indices. Therefore, this study investigated the text complexity of IELTS academic reading tests (IRT) and IELTS reading practice tests (IRPrT).…

A recent survey aimed at identifying the most popular current programs used to teach reading found that one common feature of all the top sellers was that they organize their teaching around leveled books. Other recent surveys show that teaching reading with leveled books is on the increase and that teachers believe it is endorsed or supported by…