This study investigated the influence of teacher expectations of high- and low-expectancy leaners' learner control performance in the flipped learning online session. Interviews and observations were conducted with 14 elementary learners (age 9) and four teachers from a Malaysian elementary school. Thematic analysis was used to interpret codes,…

Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…

Academic entitlement (AE), which includes some students' tendencies to express deservingness of academic outcomes, not based on achievement, may have serious implications, such as academic dishonesty and classroom incivility. Some researchers have suggested that there may be different types of students with regard to AE, implying that motives for…

The field of learning analytics has been limited by its frequent dependence on learning logs created by students while learning. Most of the research has dealt with the relationships between learning during a course and the achieved results. Although students' in-class behavior affects learning achievement, this remains a challenging aspect to…

Providing early predictions of academic performance is necessary for identifying at-risk students and subsequently providing them with timely intervention for critical factors affecting their academic performance. Although e-book systems are often used to provide students with teaching/learning materials in university courses, seldom has research…

Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…

Important adolescents' career-related decisions might be influenced by their beliefs about malleability of intelligence and learning (mindset). We combined quantitative and qualitative data to provide in-depth insights in the beliefs that 13- and 14-year olds hold about learning and intelligence, the factors influencing these beliefs, and the…

This article explores how schools define situations in which students have been exposed to violence at school. The purpose of the study is to explore and investigate whether and how school violence is gendered and whether acts of violence are being coded as either masculine or feminine. The data were gathered at Swedish secondary schools. The…

The prescriptive outline that guides teachers on the use of Behaviour Policies (BP) omits to suggest whether BPs in Primary schools can be contextualised. This study explores to what extent Behaviour Classification Tables (BCTs) help staff choose strategies to improve behaviour. Using Context-Mechanism-outcome configuration (CMO) as the main…

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,…

Purpose: Despite the growth of theory and research on young English learners and the widely-recognized importance of critical incidents (CIs) in teachers' professional development (PD), little research has examined young-learner teachers' CIs. This study investigated the impacts of a PD course structured around CIs sharing/discussing on 14 L2…

In Western countries, the number of ADHD diagnoses and medical treatments of children has risen spectacularly over the last decennia, as has the amount of criticism about this trend. Various studies have shown that children receiving an ADHD classification often follow from initial signals that were raised in a school context. Hence, it becomes…

In this paper we present an alternative typology for determining success and dropout in massive open online courses (MOOCs). This typology takes the perspectives of MOOC-takers into account and is based on the their intentions and subsequent behaviour. An explorative study using two MOOCs was carried out to test the applicability of the typology.…

This study aims to put forth student misbehaviors confronted by academics and their experiences of coping with these behaviors with respect to types of student misbehaviors, setting, student characteristics, academics' responses, students' reaction to intervention, academics' feelings, attributions to possible causes of misbehaviors, and…

The evolution of ICT and its adoption in higher education is driving greater interactivity in teaching and learning processes. The teaching/learning paradigm has been changing. Both educational actors, teacher and student, are increasingly adapting to use technologies. This article presents a study that enhances how technologies can be used in the…