Educational data mining constitutes a recent research field which gained popularity over the last decade because of its ability to monitor students' academic performance and predict future progression. Numerous machine learning techniques and especially supervised learning algorithms have been applied to develop accurate models to predict…

Purpose: Applying cloud computing (CC) in education is a great opportunity to globalize knowledge with the minimum costs and maximum accessibility. This study aims to understand and predict teacher intention to use cloud commuting as infrastructure in Smart education. Design/methodology/approach: This was a cross-sectional study in which faculty…

Introduction: The concept and study of relevance has been a central subject in information science. Although research in information retrieval has been focused on topical relevance, other kinds of relevance are also important and justify further study. Motivational relevance is typically inferred by criteria such as user satisfaction and success.…

This study aimed to enhance understanding of team creativity by investigating the type of team mental models that team members develop during their work on a creative problem solving task. We hypothesized that teams that develop dissimilar team mental models, compared to similar and complementary team mental models, will achieve a higher…

Purpose: Kinematic measurements of speech have demonstrated some success in automatic detection of early symptoms of amyotrophic lateral sclerosis (ALS). In this study, we examined how the region of symptom onset (bulbar vs. spinal) affects the ability of data-driven models to detect ALS. Method: We used a correlation structure of articulatory…

Much research shows academic self-concept and achievement are reciprocally related over time, based on traditional longitudinal data cross-lag-panel models (CLPM) supporting a reciprocal effects model (REM). However, recent research has challenged CLPM's appropriateness, arguing that CLPMs with random intercepts (RI-CLPMs) provide a more robust…

Teacher persistence has been a growing issue in recent decades. This raises the problem of the sustainability of the teaching workforce, the professionalism of working teachers and preserving the quality of education. In this study we aim to create and test an empirical model that makes it possible to predict teachers' plans to remain in or leave…

This paper develops models to measure growth in student achievement with a focus on the possibility of differential growth in achievement for low and high-achieving students. We consider a gap-closing model that evaluates the degree to which students in a target group -- students in the bottom quartile of measured achievement -- perform better…

Purpose: To raise authentically creative individuals, it is compulsory to employ contemporary reading methods. Although critical reading, which is the main medium for accessing the right knowledge, is defined as a sub-category for creative reading in which high cognitive processes are involved, the connection between these has not been clearly put…

This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it…

The paper proposes a statistical model for a TEF metric that could liberate the "oppressed" (international students) and the "oppressors" (home students) from the influence of public policies which, through constructions of international students as "supplicants" and "beneficiaries" of the prestigious…

This study investigates the alignment of a predictive model created to categorize first semester students by risk level of not completing their studies with the faculty identification of students displaying risk behaviours of the same cohort at Mohawk College. Data created by Finnie et al. (2017), is compared to a sample of first semester students…

The aim of this study is to reveal the relationship between pre-service teachers' self-efficacy beliefs and preparedness to teach. In this context, the model of the research is the relational screening model. The sample of the study consisted of 407 fourth grade pre-service teachers who were studying in a state university. Data were collected…

Each time a learner in a self-paced online course seeks to answer an assessment question, it takes some time for the student to read the question and arrive at an answer to submit. If multiple attempts are allowed, and the first answer is incorrect, it takes some time to provide a second answer. Here we study the distribution of such…

The aim of the present study was to investigate the predictive role of the 3 × 2 achievement goal model on test anxiety in the specific context of Physical Education (PE). Four hundred and eighty-six French students (mean age = 15.83, standard deviation = 1.20) voluntarily and anonymously filled out the Revised Test Anxiety and Regulatory…