While hierarchical machine learning approaches have been used to classify texts into different content areas, this approach has, to our knowledge, not been used in the automated assessment of text difficulty. This study compared the accuracy of four classification machine learning approaches (flat, one-vs-one, one-vs-all, and hierarchical) using…

Knowledge of prerequisite dependencies is crucial to several aspects of learning, from the organization of learning content to the selection of personalized remediation or enrichment for each learner. As the amount of content is scaled up, however, it becomes increasingly difficult to manually specify all of the prerequisites among the different…

Instructional Systems Design is the practice of creating of instructional experiences that make the acquisition of knowledge and skill more efficient, effective, and appealing [18]. Specifically in designing courses, an hour of training material can require between 30 to 500 hours of effort in sourcing and organizing reference data for use in just…

The high level of attrition and low rate of certification in Massive Open Online Courses (MOOCs) has prompted a great deal of research. Prior researchers have focused on predicting dropout based upon behavioral features such as student confusion, clickstream patterns, and social interactions. However, few studies have focused on combining student…

In this approach, formulae based mnemonics by counting lone pair of electrons (localized or delocalized) have been highlighted by innovative and time economic way to enhance interest of students' who belong to paranoia zone of chemistry for the prediction of Hybridization state of hetero atom and Aromatic, Anti aromatic, non aromatic behavior of…

Social relationships, such as interpersonal closeness or rapport, can lead to improved student learning, but such dynamic, interpersonal phenomena can be difficult for educational support technologies to detect. In this paper, we describe an approach for rapport detection in peer tutoring, using temporal association rules learned from nonverbal,…

Learning management systems (LMSs) are ubiquitous components of the academic technology experience for learners across a wide variety of instructional contexts. Learners' interactions within an LMS are often contingent upon how instructors architect a module, course, or program of study. Patterns related to these learner interactions, often…

Test-taking is an integral part of students' lives, and the way they approach tests may be of high relevance for their academic outcomes. Therefore, the present study addressed the way college students reflect on the process of preparing for tests. Specifically, it investigated the relevance of students' achievement goals, perceived academic…

This study has attempted to investigate the predictability of university students' personality traits, cultural values, stress coping strategies, negative automatic thoughts and gender on their professional/formal psychological help seeking attitudes. This research has been carried on with the participation of a total of 1284 university students.…

Ambridge's proposal cannot account for the most basic observations about phonological patterns in human languages. Outside of the earliest stages of phonological production by toddlers, the phonological systems of speakers/learners exhibit internal behaviours that point to the representation and processing of inter-related units ranging in size…

Although policy makers have made gains in getting students to consider future careers in science, women and many minorities are still underrepresented in science fields. Here we describe research conducted with fifth grade students in a rural area of the southeastern U.S. that examined students' concepts of scientists' characteristics. The results…

In this study, we investigated the predictive value of Dynamic Indicators of Basic Early Literacy Skills (DIBELS) measures for performance on a high-stakes reading assessment at the end of third grade. DIBELS measures were administered to students at the end of third grade, around the same time as their high-stakes tests. Collectively, the…

Recent research has suggested that temporal sequencing of narrative events might be a domain-general ability that underlies oral narrative capacities. The current study investigated this issue in a group of children with known pragmatic and narrative difficulties, namely Autism Spectrum Disorder (ASD). We hypothesized (1) that children with ASD (n…

This study examined the structural relationship between teachers' career adaptability, emotional intelligence, striving for goals, and setting life goals. We hypothesized that emotional intelligence would predict career adaptability, and that this relationship would be mediated by striving for goals and setting life goals. A cross-sectional survey…

This mixed research aims to analysis and design the Web Game On Descriptive Statistics (WGODS) through the ADDIE model, data science and machine learning. The sample consists of 61 students from a university in Mexico. WGODS is a technological tool (quiz game) that presents various questions and answers about statistics (quantitative and…