This paper focuses on individual responses to education in crisis, with the strategies of students contextualised and examined within a wider multi-crisis reality. Offering a conceptual framework of social solvation, the proposed model explains how failures in the education system at the macro (state) and meso (institutional) levels translate into…

Responsible research practices are critical to maintaining integrity in research and the provision of institutional trainings is an important means of promoting research integrity. However, studies show contrasting results on the efficacy of institutional training and that these approaches may not be fully effective in promoting research integrity…

Complex dynamic systems offer a rich platform for understanding the individual or the person-specific mechanisms. Yet, in learning analytics research and education at large, a complex dynamic system has rarely been framed, developed, or used to understand the individual student where the learning process takes place. Individual (or…

The purpose of this paper is to present an integrated theoretical model of socially shared regulation of learning (SSRL), which is an elaboration of Efklides' Motivation and Affect in Self-Regulated Learning model that situates metacognition, affect, and motivation at the socially shared level. Building from existing theoretical and empirical…

Most universities are facing a crisis of student wellbeing and high failure rates. Using the Conservation of Resources theory, we hypothesised that both study resources and personal resources (academic self-efficacy) could enhance task performance and improve wellbeing among university students. We conducted a cross-sectional study on 431…

Background: Visual representations are pervasive in electrical engineering instruction in various instructional settings. Further, electrical engineering instruction often requires students to extend simple visual representations to learn about more complex visualization in subsequent instruction. Yet, students often struggle to understand…

The evolving landscape of higher education requires a better understanding of students' cognitive strengths, especially in complex disciplines such as Economics where multiple approaches to problem solving are essential. This study explored students' multiple intelligences (MI) approach to learning Economics and examined gender differences in the…

Self-regulated learning is among the most important factors affecting learning outcomes in the digital age. Visualization feedback is widely used to support students' self-regulated learning. However, low motivation often leads to insufficient self-regulated learning engagement. Therefore, based on achievement goal theory, this study developed…

Effective mathematics teaching practices include not only probing student thinking and selecting student strategies to share but also facilitating discourse and encouraging reflection about important mathematical ideas (National Council of Teachers of Mathematics [NCTM], 2014, pp. 36-37). Encouraging students to use precise academic vocabulary to…

Not all students in early grades develop efficient strategies for solving subtraction tasks. In this paper, we examine subtraction teaching in the 1--20 number range. We analyzed two first-grade lessons addressing similar subtraction tasks, using variation theory to identify what aspects of the content were foregrounded in the teaching. The…

With the rise of wearable technologies, mobile devices and artificial intelligence comes a growing pressure to understand downstream effects of cognitive offloading on children's future thinking and behavior. Here, we explored whether compelling children to use an indiscriminate cognitive offloading strategy affects their subsequent strategy…

Purpose: The purpose of this study is to scrutinise individual learning strategies in their workplace when they were experiencing digital innovation. Moreover, the respective enablers and challenges of each category of strategies were explored to conceptualise supporting features needed in the digital learning environment.…

Ideation methods and outcomes have been evaluated in a variety of ways. Our study extends existing work through a qualitative analysis of idea characteristics based on the ideation method used. Beginning engineering students completed two short ideation sessions with a single design problem while following Individual Brainstorming and then Design…

Effective analysis and demonstration of these data features is of great significance for the optimization of interactive learning environment and learning behavior. Therefore, we take the big data set of learning behavior generated by an online interactive learning environment as the research object, define the features of learning behavior, and…

Societal shifts increasingly demand that people work across social and geographic borders, often virtually, to solve complex problems in the areas of education, environment, healthcare, poverty, technology innovation and ethics, and more. This collaboration requires critical and emancipatory dialogue and problem-solving. This qualitative multiple…