Self-regulated learning depends on task difficulty and on learners' resources and cognitive load, as described by an inverted U-shaped relationship in Seufert's (2018) model: for easy tasks, resources are high and load is low, so there is no need to regulate, whereas for difficult tasks, load is too high and resources are too low to regulate. Only…

Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…

In this study, a collaborative problem solving-based STEM course was implemented in a seventh-grade class. This study aimed to examine the effects of students' prior knowledge on their CPS-based STEM learning processes by using a mixed-methods approach. First, a lag sequential analysis was used to investigate individual cognitive and metacognitive…

More and more, people are abandoning the active pursuit of news, assuming instead that important information will be pushed to them via their social media networks. This approach to news makes people susceptible to the vast amounts of misinformation online, yet research on the effects of this kind of engagement is mixed. More research is needed on…

This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…

Self-regulated learning (SRL) has been linked to improved learning and corresponding learning outcomes. However, there is a need for more precise insights into how SRL during learning contributes to specific learning outcomes. We operationalised four learning outcomes that varied on two dimensions: structure/connectedness and level/deepness of…

Programming education often imposes a high cognitive burden on novice programmers, requiring them to master syntax, logic, and problem-solving while simultaneously managing debugging tasks. Prior knowledge is a critical factor influencing programming learning performance. A lack of foundational knowledge limits students' self-regulated learning…

Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…

In this study, considering the effect of interactive learning environments on human cognition, we have examined extraneous processing effects of multimedia materials on cognitive load, metacognitive judgments and learning outcomes. This study examines Augmented Reality Learning Environments (ARLE) and Virtual Reality Learning Environments (VRLE)…

In this essay, I draw upon Ellen J. Langer's notions of mindlessness and mindfulness to identify and delineate Confucius' views on mindfulness. Langer's theory exemplifies a social-cognitive approach to mindfulness which is a prominent orientation in the extant research. I argue that Confucius, like Langer, rejects mindlessness that is…

"The Cognitive Challenges of Effective Teaching," by Chew and Cerbin (2021) outlines a framework of nine cognitive challenges to student learning. The framework can help economic educators better design and describe new ideas for teaching in economics. In this article, the author highlights and expands upon ideas that are particularly…

The authors describe a research-based conceptual framework of how students learn that can guide the design, implementation, and troubleshooting of teaching practice. The framework consists of nine interacting cognitive challenges that teachers need to address to enhance student learning. These challenges include student mental mindset,…

We examined the role of epistemic cognition in calibration to task complexity before and during learning. Sixty-six undergraduate students were presented with two learning tasks--a simple task and a more complex task--in random order. Prior to learning, offline measures of learners' epistemic beliefs about climate change were taken. An open-ended…

What do we know about how well graduate teaching in economics addresses cognitive challenges to learning? In short, very little. There is a dearth of research that investigates how graduate student, program and professor characteristics, and choices impact graduate student learning and other outcomes. Some of the broader literature on graduate…

We introduce the Integrated Framework of Multiple Texts to understand how students use and form connections between multiple texts to accomplish personal or task goals. The Integrated Framework of Multiple Texts conceptualizes students' multiple text use as unfolding over the course of three stages--preparation, execution, and production. In the…