Abstraction is essential to learning mathematics because the mathematical concepts obtained through abstraction will be more meaningful than directly receiving these concepts. This study aims to describe the pre-service teachers' abstraction in constructing relationships among quadrilaterals. This research method was explorative qualitative…

This study analyzes the consequences of item nonresponse to the question about a household's total net income in the European Social Survey (2008-2018). We recognize two mechanisms in avoiding answering the income question: task complexity and question sensitivity, and apply multilevel logistic regressions to predict the probability of refusals or…

Machine learning (ML) techniques have been successfully applied to a wide array of applications. This dissertation aims to take application data handling into account when developing ML-based solutions for real-world problems through a holistic framework. To demonstrate the generality of our framework, we consider two real-world applications: spam…

While methodologies are often presented as standardised procedures which, under specified conditions, should lead to the same conclusions, this case study presents the complex and deeply personal process of research (Addey and Piattoeva 2022). We analyse our application of network ethnography -- an approach presented by Ball (2016) -- to the study…

This case study aims to report on the psychological assessment and intervention for a 4-year-old preschooler with selective mutism. A comprehensive assessment that involves parents and teacher interview, classroom observation, Seguin Form Board Test (SFBT), Vineland Adaptive Behaviour Scales Third Edition (Vineland-3), Behaviour Assessment System…

This paper puts forward a research agenda in the area of explicit and implicit knowledge and learning of second or additional languages. Based on a brief overview of reliable findings as well as open questions in the field, three agenda items are highlighted. First, valid and reliable measures of explicit and, in particular, implicit knowledge and…

This review systematically synthesizes empirical evidence on learning outcomes of interdisciplinary learning. A meta-synthesis approach was used to synthesize data in two rounds, based on strict (n = 38) versus more lenient (n = 60) operationalizations of interdisciplinary learning. The results revealed a variety of interdisciplinary learning…

Accurate monitoring of performance in problem-solving tasks is an important prerequisite for students' future academic success. A wide variety of interventions aiming to enhance students' monitoring accuracy have been developed, but their effectiveness is not apparent from the individual studies in which they have been examined. This meta-analysis…

Purpose: The "Fragile X Messenger Ribonucleoprotein-1 (FMR1)" premutation (FXpm) is a genetic variant that is common in the general population and is associated with health symptoms and disease in adulthood. However, poor understanding of the clinical phenotype during childhood has hindered the development of clinical practice guidelines…

This paper investigates the potential of Ubuntu philosophy for decolonising Participatory Research (PR) in the Global South, addressing power imbalances and research process challenges. Despite PR's focus on community involvement, it can perpetuate practices contradicting its principles, hence the rise of 'decolonising research' for fair,…

This study explores integrating inquiry-based learning (IBL) and task-based learning (TBL) in music education to enhance student engagement, creativity, and critical thinking. The study emphasizes the complementary roles of IBL and TBL in promoting active learning and real-world application by looking at their respective theoretical foundations.…

Children's responses to new, unfamiliar social interactions should be influenced by their cognitive appraisals and physiology, though little is known about how these constructs interrelate. To investigate these links, we examined whether children's appraisals of recalled events and resting parasympathetic physiology predicted social…

The research mode that has gained prominence under the designation "transdisciplinary research" (TDR) has given rise to a multitude of definitions and critiques. While some posit that this research mode enables the sciences to address the mounting societal expectations to confront and potentially resolve significant societal challenges,…

We presented two empirical studies to assess the efficacy of two Deep Reinforcement Learning (DRL) frameworks on two distinct Intelligent Tutoring Systems (ITSs) to exploring the impact of Worked Example (WE) and Problem Solving (PS) on student learning. The first study was conducted on a probability tutor where we applied a classic DRL to induce…

Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…