In the world of technology, tools and gadgets, a huge amount of data is produced every second in applications ranging from medical science, education, business, agriculture, economics, retail and telecom. Higher education institutes play an important role in the overall development of any nation. For the successful operation of these institutions,…

This study aims to assess learning outcomes and identify students' misconceptions in plant classification. We conducted a questionnaire survey with undergraduate and master's students. The qualitative analysis of the students' responses made it possible to shed light on the difficulties of assimilation of many notions and also to identify the…

The relationship with students is one of the main sources of teachers' job satisfaction throughout their career. To support veteran teachers and decrease attrition rates during the late career, more insights are necessary to understand the complex relationship between veteran teachers' relationships with their students and their job satisfaction.…

When item scores are ordered categorical, categorical omega can be computed based on the parameter estimates from a factor analysis model using frequentist estimators such as diagonally weighted least squares. When the sample size is relatively small and thresholds are different across items, using diagonally weighted least squares can yield a…

Success prediction in Massive Open Online Courses (MOOCs) is now tackled in numerous works, but still needs new case studies to compare the solutions proposed. We study here a specific dataset from a French MOOC provided by the OpenClassrooms company, featuring 12 courses. We exploit various features present in the literature and test several…

Social emotional skills and competencies are integral to student success at home, school, and in the larger community. Extant research also consistently demonstrates that social emotional skill deficits are associated with various adverse outcomes. Universal screening for social emotional and behavioral risk in schools facilitates early…

This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…

College rankings have become a powerful influence in higher education. While the determinants of educational quality are not clearly defined, college rankings designate an institution's standing in a numerical order based on quantifiable measurements that focus primarily on institutional resources. Previous research has identified the…

To grasp how individuals and groups perceive social objects of their environment, word association tasks enable the cognitions associated with a given object to be collected. However, the lack of information regarding the meaning of these responses implies interpretation and subjectivity in their analysis. To reduce this subjectivity, this…

The aim of this article is to contribute to the development of research tools for the analysis of the special education curriculum. More precisely, using the concepts of classification and framing from the theory of Basil Bernstein, we approach the intended curriculum for students with mild and moderate learning difficulties. To be specific, using…

Normative databases containing psycholinguistic variables are commonly used to aid stimulus selection for investigations into language and other cognitive processes. Norms exist for many languages, but not for Thai. The aim of the present research, therefore, was to obtain Thai normative data for the BOSS, a set of 480 high resolution color…

Diagnostic classification models (DCMs, also known as cognitive diagnosis models) hold the promise of providing detailed classroom information about the skills a student has or has not mastered. Specifically, DCMs are special cases of constrained latent class models where classes are defined based on mastery/nonmastery of a set of attributes (or…

In this paper we report on a survey designed to test whether or not students differentiated between two different types of problems involving combinations--problems in which combinations are used to count unordered sets of distinct objects (a natural, common way to use combinations), and problems in which combinations are used to count ordered…

We apply the "wisdom of the crowd" idea to human category learning, using a simple approach that combines people's categorization decisions by taking the majority decision. We first show that the aggregated crowd category learning behavior found by this method performs well, learning categories more quickly than most or all individuals…

Purpose: The objectives of this study were to examine different speech profiles among children with dysarthria secondary to cerebral palsy (CP) and to characterize the effect of different speech profiles on intelligibility. Method: Twenty 5-year-old children with dysarthria secondary to CP and 20 typically developing children were included in this…