Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…

In the current educational landscape, where large amounts of data are being produced by institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a crucial role in extracting knowledge from this data to help academic policymakers make decisions. EDM has a primary focus on predicting students' academic performance.…

Student underachievement in math and social-emotional difficulties represent two urgent problems in our schools which have only been exacerbated since COVID-19. The reciprocal relationship between academic challenges and social-emotional problems, along with limited time and resources, suggest that a combined academic and growth mindset…

Most studies on gamified learning have neglected gamification depth, which has motivated the current study to identify the impact of gamified depth on students' intrinsic motivation and performance levels. A quasi-experimental approach was employed, which involved a total of 117 undergraduate students divided into control (n = 57) and experimental…

The aim of this research was to evaluate and compare the efficiency of the flipped learning strategy with that of a conventional teaching method with respect to learning outcomes, cognitive gain, and perception and satisfaction with regard to the methodology used. The research was carried out during the 2021-2022 academic year and focused on a…

In its original version, control-value theory describes and explains achievement emotions. More recently, the theory has been expanded to also explain epistemic, social, and existential emotions. In this article, I outline the development of the theory, from preliminary work in the 1980s to early versions of the theory and the recent generalized…

Intersectionality and positionality can be used to examine how various aspects of identity are analyzed in the context of learners' lived experiences. When examining how learners are recognized for their skills and competencies, there are several ways in which education and credentials can be leveraged. Autoethnographies were used to examine the…

I argue that wrong of plagiarism does not primarily stem from the plagiarist's illicit misappropriation of academic credit from the person she plagiarized. Instead, plagiarism is wrongful to the degree to which it runs counter to the purpose of academic work. Given that this is to increase knowledge and further understanding plagiarism will be…

Stratification is an important design feature of many studies using complex sampling designs and it is often used in large-scale assessment (LSA) studies, such as the "Programme for International Student Assessment" (PISA), for two main reasons. First, stratification variables that achieve a high between and low within strata variance…

Background Study: Several meta-analysis studies have investigated the effects of mobile learning on learning performance. However, limited attention has been paid to pedagogy in mobile learning, making quantitative evidence of the effects of pedagogical approaches on learning performance in mobile learning scarce. Filling this gap can therefore…

Research on school improvement has accumulated an extensive list of factors that facilitate turnarounds at underperforming schools. Given that context or resource constraints may limit the possibilities of putting all of these factors in place, an important question is what is necessary and sufficient to turn a school around. We use qualitative…

Flipped learning (FL) has positive effects on the teaching-learning process. Nevertheless, and given that it is a relatively new methodology, it still raises some misgivings. This work aims to highlight the potential of FL by the analysis of academic results in a subject in higher engineering education and, thus, to contribute to overcome possible…

This article positions the core-selective evaluation process (C-SEP), a pattern of strengths and weaknesses (PSW) model of identifying specific learning disabilities (SLD), within guidelines and best practices recommended for assessing English learners. C-SEP is a broad approach that utilizes multiple sources of data to establish underachievement,…

The objective of this study is to examine and compare the impact of serious games and gamification on learning achievement and motivation. The results of the meta-analysis indicate that gamification has a more positive influence on learning achievement and motivation compared to serious games. The analysis reveals that gamification demonstrates a…

The current study examined the validity of HEXACO personality traits (at the broad trait-level and narrow facet-level) and Self-Control as predictors of counterproductive academic behavior (CAB; at the overall level and specific dimensional level) among college students. We collected data from 483 undergraduate students in South Korea who…