Learning-support system is an umbrella term that we use for digital resources that assign students with mathematical questions and give automatic feedback on the inserted answers. Transitioning between questions and feedback is characteristic to students' work with such systems. We apply the commognitive framework to explore the role of…

Background: Many learners struggle to productively self-regulate their learning. To support the learners' self-regulated learning (SRL) and boost their achievement, it is essential to understand the cognitive and metacognitive processes that underlie SRL. To measure these processes, contemporary SRL researchers have largely utilized think aloud or…

The need to identify methods to support self-regulated learning has raised the interest of researchers in recent years. Cognitive prompts are considered very promising instructional tools for developing self-regulatory abilities. The present study aims to investigate the usefulness of several types of cognitive prompts in activating learning…

Preparatory learning tasks are considered critical for student success in flipped classroom courses. However, less is known regarding which learning strategies students use and when they use those strategies in a flipped classroom course. In this study, we aimed to address this research gap. In particular, we investigated mutual connections…

In recent years, there has been considerable growth in evidence that open-ended, challenging, and autobiographical tasks may provide better opportunities to evidence how young children exhibit metacognition and self-regulation. This research examines possible differences in children's metacognition and self-regulation between two ecological valid…

The application of decomposition strategies (i.e., associative or distributive strategies) in two-digit multiplication problem solving supports algebraic thinking skills essential for later complex mathematical skills like solving algebra problems. Use of such strategies is also associated with improved accuracy and speed in mathematical problem…

Concept mapping (CM) is widely used in educational settings as a teaching/learning or assessment tool. We conducted a bibliometric analysis and systematic review to provide an updated review on CM research in computer-supported learning environments. A total of 356 selected studies published from 1990 to 2020 were analyzed from the Web of Science…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

Retrieval practice is an effective strategy to promote long-term retention and learning, but students do not always use it in the most effective ways. Applying various intervention design principles that leverage sociomotivational research, we created an intervention targeted not only at teaching students about the efficacy of retrieval practice,…

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…

Implicit learning occurs in the absence of the intention to learn an unfamiliar skill and is particularly useful when the acquired knowledge is not initially easily verbalized in explicit terms (Cleereman et al., 2019). Implicit learning is simply a way of craftily making learning more meaningful so that students are either not immediately aware…

In higher education, many students make poor learning strategy decisions. This, in part, results from the counterintuitive nature of effective learning strategies: they enhance long-term learning but also cost high initial effort and appear to not improve learning (immediately). This mixed-method study investigated how students make learning…

The Unlearning Cycle offers a way to help educators identify some of the underlying assumptions and beliefs we bring to our pedagogical design. In a field so focused on learning, it is actually unlearning we need to focus on. This chapter shares research and strategies to trade up for new ways of teaching and designing for inclusive, rigorous…

Student-facing learning analytics (SFLA) hold promise for supporting the development of self-regulated learning (SRL) skills students need for academic success, especially in online learning. However, the promise of SFLA for supporting SRL is unrealized because current SFLA design methods are technocentric, with little attention to learning…

Purpose: This study aims to combine open innovation (OI) and organizational learning (OL) literature in the context of strategic alliances. Design/methodology/approach: The authors develop a conceptual framework that links OI to OL literatures. The authors empirically validate this framework through four representative cases of dyadic strategic…