The development of metaknowledge about models (MKM) and metaknowledge about the modelling process (MKP) are important in pre-service science teachers (PSTs) education. MKM refers to knowledge about the model's entities and its purposes, while MKP refers to knowledge about the components and structure of the modelling process. Assessing MKM and MKP…

This study examines how task instruction and task appraisals predict engagement and disaffection in classroom moments. We assessed 2,560 momentary survey responses from 124 Finnish 7th grade students using a within-person analytical approach. The results showed that students were more engaged during active instruction and when they had choice in…

The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…

The standard view on Theory of Mind (ToM) is that the mastery of the false belief (FB) task around age 4 marks the ontogenetic emergence of full-fledged meta-representational ToM. Recently, a puzzling finding has emerged: Once children master the FB task, they begin to fail true belief (TB) control tasks. This finding threatens the validity of FB…

Previous research shows that children evaluate the competence of others based on how effectively someone accomplished a goal, that is, based on the observed outcome of an action (e.g., number of attempts needed). Here, we investigate whether 5- to 10-year-old children and adults infer competence from how efficiently someone solves a task by…

As computational thinking (CT) gains more attention in K-16 education, problem-solving has been more emphasized as a core competency that can be found across various domains. To develop an evaluation framework that reveals students' problem-solving competency, this study examined solutions for the Bebras Computing Challenge which requires students…

Representational competence in science is the ability to generate external representations (e.g. equations, graphs) of real-world phenomena, transform between these representations, and use them in an integrated fashion. Difficulties in achieving representational competence are often considered central to difficulties in learning science.…

Numeracy is important for everyday life. Being numerate has a positive impact on the quality of life of individuals, with positive economic, health, and social outcomes. Despite this, little is known about the role of numeracy in the lives of adults with intellectual disability (ID). Design research has been used to develop ways to support…

Self-regulated learning rarely happens in isolation and although there is a wide range of evidence that socio-cognitive information may impact decision making and learning, its role in metacognitive self-regulation remains understudied. Thus, we investigated how socio-cognitive information on assumptions and confidence in assumptions of an unknown…

Fluctuating demands and fast changing job-requirements require organizations to invest in employees so that they are able to take up new tasks. In this respect, fostering employees' employability is high on the agenda of many organizations. As a prerequisite for creating employability, many scholars have focused on the role of social informal…

This contribution aimed at investigating how work-related reflection as cognitive efforts towards developing an understanding of work tasks, the surrounding work context, and one's professional competencies adds to the role of psychological empowerment and participative safety in predicting innovative behaviour and job crafting as two forms of…

When do children acquire a meta-representational Theory of Mind? False Belief (FB) tasks have become the litmus test to answer this question. In such tasks, subjects must ascribe a non-veridical belief to another agent and predict/explain her actions accordingly. Empirically, children pass explicit verbal versions of FB tasks from around age 4.…

The aim of this dissertation was to develop and validate a novel Epistemic Competence Beliefs Measure (ECBM) in order to explore students' ability to evaluate the characteristics of scenarios about complex and controversial social issues. Epistemic competence was hypothesized to be critical in performing multiple source use (MSU) tasks and in the…

Design Research (DR) has been used to develop means of supporting mathematical learning for typically-developing students. This study investigated the use of DR to develop context specific tools to support adults with intellectual disabilities (ID) to improve their numeracy capabilities and engagement in daily tasks. Using observation and…

The purpose of this study was to test the effects of a value-reappraisal intervention (VR) on students' motivation and performance compared to a goal-setting intervention (GS) and information-literacy control condition (C). Eighty-eight female students in an undergraduate introductory statistics course were randomly assigned to one of the three…