Collaborative learning is a group learning paradigm in which individuals or students work together to solve problems or complete tasks, exemplifying the essence of collective educational efforts. There are a lot of collaborative learning methods available; however, finding one that is suitable for the complex nature of mathematical problem-solving…

We present the results of a study investigating the potential role of the generative AI GPT-4 in scaffolding students' metacognitive activities during problem-solving. The theoretical framework according to which students' interactions with GPT-4 are analysed is based on three main components: the notion of utilisation scheme within the frame of…

Data-driven marketing analytics courses are integral to modern business management degrees in universities, yet many graduates focus solely on single, separated data analysis techniques during their learning process, hindering effective integration and practical performance. This study proposes that employing the Fishbowl method, which divides…

In this article, we delve into a hermeneutic process that analyzes the term "Computational Thinking" as it was constructed through Wing's series of iterations in conceptualization attempts (2006, 2008, 2011 and 2014). On the one hand, this brings us to analyze the relations and intersections between different process of thought…

Existing research has revealed key factors influencing mathematical flexibility, defined as the capacity to understand, generate, and apply a variety of strategies in solving mathematical problems. However, there is currently a lack of an integrated theoretical framework to systematically consolidate various sources of individual differences in…

This study explores students' initial engagement with ill-structured problems before and after the introduction of engineering problem typology as a framework for problem engagement and reflection. Using problem discussions, debrief interviews, and qualitative analysis of written artifacts, we considered observed changes to students' initial…

In the realm of K-12 Education, the growing significance of Computational Thinking has sparked extensive inquiry into its nature and instructional methodologies. Despite a wealth of literature on the subject, ongoing debates persist regarding its fundamental components. Across global educational landscapes, Computational Thinking is being…

This study investigated the effects of pre-training types on cognitive load, self-efficacy, and problem-solving in computer programming. Pre-training was provided to help learners acquire schemas related to problem-solving strategies. 84 undergraduate students were randomly assigned to one of three groups and each group received three different…

Background: Self-regulation is identified in the literature as an early predictor of later in life success and an important skill that develops over the course of a lifetime but begins in early childhood. Objective: The purpose of this research study was to assess whether direct instruction of Mindfulness Practices, such as guided meditation and…

This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…

Pre-service teachers' metacognitive and problem-solving skills are highly important in the process of becoming effective teachers for providing their students with guided learning support. Determination of these two higher-order thinking processes and skills and investigation of the relationship between them is very important for enabling…

The lecture technique still dominates in biology education, and there are not enough hands-on, interactive, creative, and problem-solving learning activities to encourage students to apply their problem-solving skills. The purpose of this study is to examine how the problem-based learning (PBL) model and students' metacognition skills affect their…

When students use metacognition, they can more effectively problem solve on their own and in groups. Most metacognition studies have focused on individual learners while a few studies have begun to explore the metacognition learners use in social settings. Little is known about the comparison between how an individual student may use metacognition…

This study investigates the effects of metacognitive and cognitive strategies for computational thinking (CT) on managing cognitive load and enhancing problem-solving skills in collaborative programming. Four different scaffolding conditions were provided to help learners optimize cognitive load and improve their problem-solving abilities. A total…

Metacognition plays an essential role in adults' cognitive offloading decisions. Despite possessing basic metacognitive capacities, however, preschool-aged children often fail to offload effectively. Here, we introduced 3- to 5-year-olds to a novel search task in which they were unlikely to perform optimally across trials without setting external…