This brief emphasizes the importance of English learner reclassification in California, where over 19 percent of students are classified as English learners. It outlines the high-stakes nature of this process, particularly under the Every Student Succeeds Act (ESSA), which mandates uniform criteria for exiting English learner programs. The four…

This study aims to investigate Vietnamese pain terms and pain descriptors with a focus on how the McGill Pain Questionnaire (MPQ) words are utilised by the Vietnamese patients. Semi-structured interviews were employed to collect data from twenty-six Vietnamese female cancer patients. The data were analysed using both quantitative and qualitative…

Reservation-dwelling American Indian adolescents are at exceedingly high risk for cannabis use. Prevention initiatives to delay the onset and escalation of use are needed. The risk and promotive factors approach to substance use prevention is a well-established framework for identifying the timing and targets for prevention initiatives. This study…

We present an approach to the question of the educational relations between chemistry and physics based on the one hand, on an inferentialist account of scientific representation (Suárez M., (2024), "Inference and Representation. A Study in Modelling Science," Chicago and London: The University of Chicago Press). On the other, we have…

This study analyzed Bahraini primary school science textbooks and workbooks from grades 1 to 6 in terms of their coverage of the five essential features of scientific inquiry. These features include the following: feature 1, engaging learners in scientifically oriented questions; feature 2, making learners give priority to evidence in responding…

This short description of vocational education and training (VET) in Poland provides an insight into its distinctive features and highlights developments in and challenges for the system. In Poland VET is offered at upper secondary, post-secondary and higher vocational levels for young people and adults, with different types of work-based learning…

This research involves a content analysis of studies on modern physics education conducted in Turkey between 2000 and 2023. In this context, 273 studies accessed in full text from different databases were examined. The studies were evaluated using the "Modern Physics Education Publication Classification Form" and analyzed using the…

Reading outcomes at a national level have remained stagnant for more than two decades. One reason why is that the field has struggled with how to address poor reading comprehension when reading words is not the problem. Another is that limited insight into the causes of poor comprehension performance is offered by traditional reading comprehension…

This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…

Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…

This study proposes a knowledge graph-based big data analysis model for course quality evaluation, aiming to address issues in online education course evaluations such as semantic bias, grammatical deficiencies, vocabulary limitations, false evaluations, information distortion, and imbalanced evaluation categories. The model incorporates three…

In recent years, university teaching methods have evolved and almost all higher education institutions use e-learning platforms to deliver courses and learning activities. However, these digital learning environments present significant dropout and low completion rates. This is primarily due to the lack of student motivation and engagement.…

This study segmented the time series of gaze behavior from nineteen children with autism spectrum disorder (ASD) and 20 children with typical development in a face-to-face conversation. A machine learning approach showed that behavior segments produced by these two groups of participants could be classified with the highest accuracy of 74.15%.…

The purpose of this study was to examine the effects of different data conditions on item parameter recovery and classification accuracy of three dichotomous mixture item response theory (IRT) models: the Mix1PL, Mix2PL, and Mix3PL. Manipulated factors in the simulation included the sample size (11 different sample sizes from 100 to 5000), test…

Purpose: The purpose of this study was to examine the nature of speech disfluencies in autistic young adults and controls by using a wide-range disfluency classification of typical disfluencies (TD; i.e., filled pauses, revisions, abandoned utterances, and multisyllable word and phrase repetitions), stuttering-like disfluencies (SLD; i.e., sound…