Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

Background: The growth of online education has provided flexibility and access to a wide range of courses. However, the self-paced and often isolated nature of these courses has been associated with increased dropout and failure rates. Researchers employed machine learning approaches to identify at-risk students, but multiple issues have not been…

Little knowledge is available on students' attitudes and behavioural intentions towards using ChatGPT, a breakthrough innovation in recent times. This study bridges this gap by adding two relevant less-explored constructs (i.e., perceived enjoyment and perceived informativeness) to the technology acceptance model and illustrating the moderating…

The number of secondary-level students with high-functioning autism (HFA) served in public school settings has increased in recent years, and many of these students have difficulty with social-behavioral expectations in such settings. Instructional specialists must know which interventions have been shown to be effective, so they can make informed…

Each year, more and more students are entering the school system having experienced different forms of trauma, such as violence, death, abuse, and illness. Children who are exposed to trauma run the risk of facing negative long-term effects that include mental illness, depression, and anxiety. This literature review provides an overview of how…

Emotional intelligence (EI) has emerged in the past twenty five years as one of the crucial components of emotional adjustment, personal well-being, life success, and interpersonal relationships in different contexts of everyday life. This article provides a critical review of the research field of EI in the school context and analyzes its present…

Multiple Intelligences (MI) curriculum has demonstrated increased student achievement including improved engagement and performance on standardized tests. MI-based instruction also improves student achievement in science. Many educators focus solely on delivering content standards instead of infusing their curriculum with pedagogy that engages…

Factors that may influence teacher academic expectations include socioeconomic level, sex, level of academic and intellectual functioning, background information, and test results. In a study conducted by Rosenthal and Jacobson (1968) on teacher expectations and pupils' intellectual development, it was found that, when teachers expected certain…

This paper presents a critical review of computer assisted instruction (CAI); an overview of recent intelligent tutoring systems (ITSs), including current perceived shortcomings; major activities of the field, i.e., analysis of teaching/learning processes, and extending and developing artificial intelligence techniques for use in intelligent…