Purpose: This study aims to investigate the factors that influence user experience (UX) of eLearning systems implemented in two institutions in Tanzania. Design/methodology/approach: The study adopted questionnaire consisting of Nielsen's heuristics and didactic metrics as pragmatic metrics and hedonic metrics followed by focus group discussions…

Research on teacher educators' professional learning has gained increasing interest within science education. Curriculum materials have been suggested as a means of supporting "teacher" learning for several decades but have not yet been examined as a potential tool for supporting the learning of "teacher educators." In this…

A large and growing body of work has documented robust illusions of area perception in adults. To date, however, there has been surprisingly little in-depth investigation into children's area perception, despite the importance of this topic to the study of quantity perception more broadly (and to the many studies that have been devoted to studying…

Although applied to numerous communication contexts, affordance approaches have yet to receive sustained attention in the instructional literature. The ongoing migration to online pedagogy suggests a need to examine the impact of technological affordances and communication in Learning Management Systems. To that end, an experimental study…

This article presents an ecological frame for reflection on teaching at university. It is suggested here that the process of professional reflection on practice can be better aligned with processes of institutional development by applying the adaptive cycle. This heuristic emerged from the scientific literature on ecosystem maintenance and has…

Inherent tensions exist in skills policies that aim to combine national economic growth and productivity with localised implementation for education and training. This is particularly apparent in the over-emphasis on employer engagement in national education and training policy, where the localisation of skills formation is particularly envisioned…

Developing students' skills in solving mathematical problems and supporting creative mathematical thinking have been important topics of Finnish National Core Curricula 2004 and 2014. To foster these skills, students should be provided with rich, meaningful problem-solving tasks already in primary school. Teachers have a crucial role in equipping…

The growth of literature in student learning gain in recent decades has posed challenges to address the issue within the classroom. To further shed light on this scientific body of knowledge, the current study implemented a sequential explanatory mixed-methods design on a sample of 76 students. First, test data were analyzed using the interval…

Learning about the Earth through geoscience education is important in order to make informed decisions about the future of the Earth. The aim of this study is to examine students' conceptual development on geoscience subjects based on inquiry-based learning. 7th grade students participated in this study. The researcher prepared lesson plans and…

Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical…

A central factor in research guided by the Cognitive Load Theory (CLT) is the mental effort people invest in performing a task. Mental effort is commonly assessed by asking people to report their effort throughout performing, learning, or problem-solving tasks. Although this measurement is considered reliable and valid in CLT research,…

Background: Research on causal reasoning often uses group-level data analyses that downplay individual differences and simple reasoning problems that are unrepresentative of everyday reasoning. In three empirical studies, we used an individual differences approach to investigate the cognitive processes people used in fault diagnosis, which is a…

As modern deep networks become more complex, and get closer to human-like capabilities in certain domains, the question arises as to how the representations and decision rules they learn compare to the ones in humans. In this work, we study representations of sentences in one such artificial system for natural language processing. We first present…

A mixture extension of Samejima's continuous response model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical data set, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response…

The climate crisis threatens the sustainability of global ecosystems. To address climate change education, which has traditionally focused on scientific and technical approaches, one can consider learning from the ecological wisdom of ancient peoples. This qualitative paper explores the ecological wisdom behind the traditional painting of Wayang…