Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open online courses (MOOCs) courses. Background: The MOOCs learning platform attracts…

Past research has demonstrated that children prefer to learn from confident rather than hesitant informants. It is frequently assumed that they do so because they believe confidence to predict a person's knowledge and future accuracy; however, this assumption has not previously been tested. The present investigation therefore explored how 3- to…

Much of historical and contemporary music education research is influenced by a Cartesian ontology of opposition. This reinforces the classic function of music and music education: the exercise of possession, ownership and control. To confront these ideas, our article reimagines music education research through posthumanism and new materialism. In…

The complexity of modern societies necessitates that children learn highly abstract material, such as mathematics, which often conflicts with behavioral goals that are innately motivating. For instance, children's educational success is generally evaluated based on their individual achievements, while humans are motivated to learn by engaging in…

Though online peer assessment is recognized as a critical factor in enhancing learning performance, pedagogical strategies and analysis of students' peer assessment at the group level, rather than the individual level, are underexplored. Online group assessment (OGA) focuses on assessing peer-group work in an online environment. A total of 64…

The function of proteins is governed by their three-dimensional structure. This structure is determined by the chemical characteristics and atomic interactions of amino acids. Students of biochemistry, with a particular focus on protein chemistry, benefit from looking at protein structures and understanding how proteins are built and fold. Due to…

This research focuses on the interaction between pairs of teachers who carry out Reciprocal Peer Observation (RPO) practices. The aim is to identify how teachers learn by building knowledge collaboratively during their participation in feedback meetings (the third stage of the RPO cycle). From an initial sample of 400 voluntary in-service…

When people remember together, what one person says can affect what others report. The size of this effect is dependent on the characteristics of the people and how they express their beliefs. The power relationship among people affects much of their social cognition, including the size of this "memory conformity" effect. Some research…

Recent evidence has shown that eliciting confidence ratings can affect cognitive performance--a so-called reactivity effect. Several mechanisms have been proposed to account for reactivity, but currently there is only indirect evidence about why confidence ratings are reactive. Here, we explore the strategic changes in cognitive processes that…

Despite the existence of many studies on language learning strategies (LLS), little scholarly work reports the LLS used by multilingual foreign language learners. To fill this empirical gap, the present qualitative case study investigates how polyglots employed their strategies over their path of learning multiple foreign languages. We collected…

Understanding part-whole relations is crucial in early mathematics education. However, both analogue and digital learning environments often lack systematic approaches to foster part-whole understanding. With the rising popularity of educational apps, it is essential to evaluate how they implement learning of part-whole relations. Accordingly,…

Self-regulated learning (SRL) theory comprises cognitive, metacognitive, and affective aspects that enable learners to autonomously manage their learning processes. This article presents a systematic literature review on the measurement of SRL in digital platforms, that compiles the 53 most relevant empirical studies published between 2015 and…

Statistics education researchers have been challenged to consider the theory of inferentialism in understanding concept formation in students. A critique of inferentialism is that no comprehensive method has been formulated to use the theory in practice. In this paper an inferentialism-based framework is presented that appears to be capable of…

In order to make informed instructional decisions, teachers need psychological knowledge about relational categories. We conducted two 2 x 2 experiments to examine effective designs for learning relational categories in the context of teacher education. In both experiments, a blocked compared to an interleaved example format was more beneficial…

Measures of learning speed (i.e., the amount of learning/cumulative time learner spends engaged in an intervention) are rarely included in research designed to evaluate and compare academic interventions. We build a case that includes analyses of learning speed metrics in academic intervention research can provide more useful information for…