The imbalance in student-teacher ratio and the diversity of student population pose challenges to MOOC's quality of instructor support. An understanding of student profiles, such as who they are and how they behave, is critical to improving personalized support of MOOC learning environments. While past studies have explored different types of…

The idea of clustering students according to their online learning behavior has the potential of providing more adaptive scaffolding by the intelligent tutoring system itself or by a human teacher. With the aim of identifying student groups who would benefit from the same intervention in AC-ware Tutor, this research examined online learning…

Introduction: Adolescence is a period of physical, psychological, cognitive and emotional changes, where autonomy from parental control is demanded. Adolescents are often self-discovering, frequently adopting sexual and drug exploration behaviors. As a result, health status in both adolescence and adulthood can be influenced. Methods: A…

The object of this study was to assess students' perceptions of their parents' career-related behaviours and their influence on the students' behaviours. In study 1 (528 students), we developed the SIL Scale (support, interference and lack of engagement), a nine-item questionnaire applied to educational and job contexts. In study 2 (1204…

Peer assessment (PA), as formative procedure, enhances learning by providing students with the opportunity to peer assess each other's work. However, since students exhibit different value systems (abilities, experiences, attitudes, cognitive styles, etc.) we propose a diagnostic procedure, which can be applied at the beginning of a course, in…

The Motivation and Engagement Scale-University/College (MES-UC) was used to identify student typologies on the basis of adaptive and maladaptive academic cognitions and behaviours. The sample comprised first-year (n = 390), second-year (n = 300), and third-year (n = 251) undergraduate students with 4 student typologies identified: high…

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

The focus of our study is social status among first graders. In particular, we will consider the relationship between acceptance and rejection, and how these are connected to three social behavioral traits: bullying, victimization, and social withdrawal. The data set is from peer nominations of 748 children from 49 classrooms in the southwest of…

New high-frequency, automated data collection and analysis algorithms could offer new insights into complex learning processes, especially for tasks in which students have opportunities to generate unique open-ended artifacts such as computer programs. These approaches should be particularly useful because the need for scalable project-based and…

Teaching can be a daunting endeavor for both experts and novice teachers. It is a profession that requires the ability to be responsive to new demands and changing needs. In recent years, school reform promoting high-stakes testing in the name of improving academic achievement has dominated the list of problems demanding consideration. The ability…

The development of a typology of community college students is a topic of long-standing and growing interest among educational researchers, policy-makers, administrators, and other stakeholders, but prior work on this topic has been limited in a number of important ways. In this paper, I develop a behavioral typology based on students'…