Oral reading fluency (ORF) deficits are a hallmark of reading difficulties. The impact of fluency struggles extends beyond word-level difficulties to include deficits in reading comprehension. Sixteen empirical studies conducted in 2000-2019 that examined ORF interventions among elementary students identified as having reading difficulties were…

Despite growing interest in formative assessment of teacher practices, research on rates of change in teachers' practices is sparse. This is the first study to examine the characteristics of observed change in classroom practices using the Classroom Strategies Assessment System (CSAS) across alternative schedules of data collection during…

There is a change in the status of English from a foreign language to a common language of communication among people with different mother languages. While the new profile of English as a lingua franca (ELF) has important implications for language teaching, it is not yet clear how far language teachers in different learning contexts have embraced…

While research on written corrective feedback (WCF) in second language education has proliferated over the past two decades, only limited information is available on the role of WCF in training translators and how WCF is used and implemented in translation classrooms. To fill this gap, this classroom-based case study examined the nature of a…

The iRead EU Project has released literacy games for Spanish, German, Greek, and English for L1 and L2 acquisition. In order to understand the impact of these games on reading skills for L1 German pupils, the authors employed an eye-tracking recording of pupils' readings on a weekly basis as part of an after-school reading club. This work seeks to…

Curriculum-based measurement (CBM) is a systematic, ongoing assessment framework that allows special educators to monitor students' progress and determine the need for instructional adaptations. Jenkins and colleagues examined the accuracy and timeliness of six different schedules of CBM progress monitoring (PM). The authors found that weekly and…

In this work, we demonstrate the application of the variational method by computing the ground- and first-excited state energies of a double-well potential. We start with the proper choice of the trial wave functions using optimized parameters, and notice that accurate expectation values in excellent agreement with the numerical results can be…

It is argued in this paper that a significant number of definitions of terms provided in currently available methodological texts are inadequate or positively misleading. Some do not cover the main meaning of the term but focus instead on a non-standard one. Others fail to pick out the distinctive features of what is being defined. There are also…

Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…

Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term…

How we make sense of what we see and where best to look is shaped by our experience, our current task goals and how we first perceive our environment. An established way of demonstrating these factors work together is to study how eye movement patterns change as a function of expertise and to observe how experts can solve complex tasks after only…

Lexical stress assignment plays a central role in being understood in a second language. In fact, research has shown that it may be more important for the comprehensibility of second language learners' speech than, for example, grammatical correctness (Trofimovich & Isaacs, 2012). Nonetheless, its production poses challenges for second…

Students often are overconfident when they predict their performance on classroom examinations, and their accuracy often does not improve across exams. One contributor to overconfidence may be that students did not have enough experience, and another is that students may under-use their knowledge of prior exam performance to predict performance on…

It is sometimes supposed that category learning involves competing explicit and procedural systems, with only the former reliant on working memory capacity (WMC). In 2 experiments participants were trained for 3 blocks on both filtering (often said to be learned explicitly) and condensation (often said to be learned procedurally) category…

This guide is designed for use by school, district, and state education agency staff to improve the effectiveness of efforts to collect and use discipline data, including reporting accurate and timely data to the federal government. It explains the importance of collecting discipline data, identifies key considerations for agencies implementing…