Open education systems play a significant role in providing flexible and accessible learning opportunities to large student populations, independent of time and location. These systems achieve cost efficiency through the effective implementation of economies of scale, reducing unit costs as student numbers increase. However, decision-making in the…

Metaheuristics are optimization algorithms that efficiently solve a variety of complex combinatorial problems. In psychological research, metaheuristics have been applied in short-scale construction and model specification search. In the present study, we propose a bee swarm optimization (BSO) algorithm to explore the structure underlying a…

Ancient Chinese civilisation developed two ideas about the ordering of large human spaces. The first was tianxia or 'all under heaven', the inclusive and cosmopolitan world as a whole, with no exterior, and governance on the basis of shared values and benefits, which first shaped statecraft in the Western Zhou dynasty (1047-1771 BCE). Second, the…

In recent years, there has been a renewed focus on temporality in education policy and governance. This article aims to contribute to this growing body of literature by examining a recent digital education policy initiative in Flanders (Belgium) called 'Digisprong'. Arguing that time, in relation to space, in education policy is relationally…

The technology of automated short answer grading (ASAG) can efficiently process answers according to human-prepared grading examples. Computer-assisted acquisition of grading examples uses a computer algorithm to sample real student responses for potentially good examples. The process is critical for optimizing the grading accuracy of machine…

Comparative analyses in education science have traditionally focused on the category of geographic location as the comparative unit. However, comparison may involve many other units of analysis, such as culture, politics, curricula, education systems, social phenomena, and other categories of the lives of societies. Still, categories are…

University Examination Timetabling Problem is the most important combinational problem to develop a conflict-free timetable to execute all of the exams in and with the limited timeslots and other resources for universities, colleges or schools. It is also an important Nondeterministic Polynomial Time (NP)-hard problem that has no deterministic…

In this paper Johan Dahlbeck sets out to propose a pedagogy of "as if," seeking to address the educational paradox of how students can be influenced to approximate a life guided by reason without assuming that they are already sufficiently rational to adhere to dictates of practical reason. He does so by outlining a fictionalist account,…

Professors in proof-based mathematics courses often intend that the feedback they provide on students' flawed proofs will promote proof comprehension. In this theoretical article, we investigate how such feedback can be formulated. Drawing on Lakatos's process of proof and refutation, we propose the notion of "heuristic refutation…

This paper suggests that artificial intelligence in education (AIEd) can be fruitfully analysed as 'policies frozen in silicon'. This means that they exist as both materialised and proposed problematisations (problem representations with corresponding solutions). As a theoretical and analytical response, this paper puts forward a heuristic lens…

When facing many options, we narrow down our focus to very few of them. Although behaviors like this can be a sign of heuristics, they can actually be optimal under limited cognitive resources. Here, we study the problem of how to optimally allocate limited sampling time to multiple options, modeled as accumulators of noisy evidence, to determine…

A simulation study was conducted to investigate the heuristics of the SIBTEST procedure and how it compares with ETS classification guidelines used with the Mantel-Haenszel procedure. Prior heuristics have been used for nearly 25 years, but they are based on a simulation study that was restricted due to computer limitations and that modeled item…

Despite the naïve intuition that individuals' confidence in their future memory performance should increase with longer self-paced study time, it is commonly observed that the relation between invested study time and memory predictions (i.e., judgments of learning (JOLs)) is negative. This negative relation has been suggested to reflect use of the…

A very common Applied Optimization Problem in Calculus deals with minimizing a distance given certain constraints, using Calculus, the general method for solving these problems is to find a function formula for the distance that we need to minimize, take the derivative of the distance function, set it equal to zero, and solve for the input value,…

Engineering designers often generate multiple concepts to increase novelty and diversity among early solution candidates. Many past studies have focused on creating new concepts "from scratch;" however, designers at every level become fixated on their initial designs and struggle to generate different ideas. In line with prior work on…