"Dedifferentiation" represents the merging of the wider "intellectual disability" category with the broader one of "disability" generally; a product of the ascendance of the social model of disability. The recent re-emergence of the significance of impairment and embodiment in disability theory re-establishes the…

While one branch of literature is replete with investigations of problem solving and another branch frequently investigates student use of dynamic mathematics environments (DMEs), most of the studies in both of these fields consider whether or not students can solve problems. Far fewer number of studies consider the cognitive processes associated…

Amid diminishing funding for higher education, public universities' practices increasingly reflect neoliberal mandates and discourses. This study examines the effects of this trend on a Hispanic-Serving Institution, whose original mission was one of access and inclusion, but which shifted to pursue "tier-one" status. Interviews with 41…

Genrefying a library's fiction collection is a common practice in school libraries. However, there is little research to explain the benefits or drawbacks of this practice. Using a within-subjects/time-series action research design, this study was conducted to understand more about the impact of genrefying the fiction collection in a single…

Infants attune to their native language during the first two years of life, as attested by decreases in the processing of nonnative phonological sounds and reductions in the range of possible sounds accepted as labels for native words. The present study shows that French-learning infants aged 1;8 can learn new words in an unfamiliar language,…

The purpose of this study is to evaluate how learning disabilities (LDs), in combination with accommodations, affect the performance of a decision-tree to predict the stability of academic behaviour of undergraduate engineering students. Additionally, this study presents several examples to illustrate how a college could use the resultant model to…

This study identified the subgroups (latent classes) of Korean college students according to the influence of perfectionism on career stress and indecision, and explored the effects of sub-factors of perfectionism on career stress and indecision for each subgroup. Also, the study examined how individual self-esteem and stress coping styles affect…

With the perceived increase in plagiarism in post-secondary institutions, there has been a simultaneous increase in research and analysis on the issue emerging from multiple fields including education, humanities, social science, business and management, sciences, and the media. The focus of this research ranges from the frequency of cases,…

Classroom discussions represent a common learning activity for students in schools. The prevailing discourse has focused on how to encourage as many students as possible to participate actively in classroom discussions with the assumption that only vocal students are engaged learners. The present essay critically challenges this position by…

This article explores a specific physical rehabilitation in French schooling after the Second World War. To this end, it analyses how, in concepts and as the result of data-derived information, pupils considered as "weak" physically speaking were taken care of by the school and especially how the actors of the physical education (PE)…

The present systematic review examines what factors determine when, how and to what extent previous linguistic experience (from the first language, second language or both languages) affects the initial stages and beyond of adult third language (L3) acquisition. In doing so, we address what a bird's eye view of the data tells us regarding…

More than three decades after their introduction, diagnostic classification models (DCM) do not seem to have been implemented in educational systems for the purposes they were devised. Most DCM research is either methodological for model development and refinement or retrofitting to existing nondiagnostic tests and, in the latter case, basically…

This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…

There's considerable public debate about charter schools and students with specialized needs, focused mainly on the extent to which charters enroll students who are classified to receive special-education services. A new study by Elizabeth Setren of Tufts University shows that critics, who often charge that charters do not serve as many…

In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…