Sustainable Efficiency and Usability for E-Learning Systems: Practical guide

This Guide has been written as a continuation of the efforts made during the SF-HEAT project to apply usability best practices in the design and development of the e-learning system of the project. The main idea that underlies the methodology behind the Guide is that educational effectiveness and efficiency crucially depends on the usability of the e-learning system. The Guide focuses on a simple practical approach related to a modified ADDIE model for sustainable usability improvement of the e-learning system

Heuristics in Multi-Winner Approval Voting

In many real world situations, collective decisions are made using voting. Moreover, scenarios such as committee or board elections require voting rules that return multiple winners. In multi-winner approval voting (AV), an agent may vote for as many candidates as they wish. Winners are chosen by tallying up the votes and choosing the top-$k$ candidates receiving the most votes. An agent may manipulate the vote to achieve a better outcome by voting in a way that does not reflect their true preferences. In complex and uncertain situations, agents may use heuristics to strategize, instead of incurring the additional effort required to compute the manipulation which most favors them. In this paper, we examine voting behavior in multi-winner approval voting scenarios with complete information. We show that people generally manipulate their vote to obtain a better outcome, but often do not identify the optimal manipulation. Instead, voters tend to prioritize the candidates with the highest utilities. Using simulations, we demonstrate the effectiveness of these heuristics in situations where agents only have access to partial information

Are emotions reliable guides for policy making? An evolutionary perspective

Technology has become all-important in modern society. For each application, it is crucial for society to have a good understanding of the risks and benefits involved. However, experts tend to assess the risks very differently than the public. One of the main reasons is that experts tend to rely on an objective analysis of the facts, whereas laypeople’s judgment is also based on other factors, including emotional responses. The question remains however whether that is a good thing. Some argue that emotions lead to biases and should be treated with great suspicion; others claim that the laypeople’s approach to risk is much richer and should also be taken into consideration. In this paper, I explore how we can answer that important question from an evolutionary perspective. First, I briefly outline the role of emotions in judgment and decision making. Next, I discuss two approaches that have defended the rationality of emotions: Roeser’s concept of emotions as trustworthy indicators of moral risks and Kahan’s cultural evaluator theory. Subsequently, I briefly discuss the evolution of emotions and their impact on risk assessment. I conclude from that account that emotions are not trustworthy guide for policy making

Thinking Twice about Virtue and Vice: Philosophical Situationism and the Vicious Minds Hypothesis

This paper provides an empirical defense of credit theories of knowing against Mark Alfano’s challenges to them based on his theses of inferential cognitive situationism and of epistemic situationism. In order to support the claim that credit theories can treat many cases of cognitive success through heuristic cognitive strategies as credit-conferring, the paper develops the compatibility between virtue epistemologies qua credit theories, and dual-process theories in cognitive psychology. It also a response to Lauren Olin and John Doris’ “vicious minds” thesis, and their “tradeoff problem” for virtue theories. A genuine convergence between virtue epistemology and dual-process theory is called for, while acknowledging that this effort may demand new and more empirically well-informed projects on both sides of the division between Conservative virtue epistemology (including the credit theory of knowing) and Autonomous virtue epistemology (including projects for providing guidance to epistemic agents)

Data, problems, heuristics and results in cognitive metaphor research

Cognitive metaphor research is characterised by the diversity of rival theories. Starting from this observation, the paper focuses on the problem of how the unity and diversity of cognitive theories of metaphor can be accounted for. The first part of the paper outlines a suitable metascientific approach which emerges as a modification of B. von Eckardt’s notion of research framework. In the second part, by the help of this approach, some aspects of the sophisticated relationship between Lakoff and Johnson’s, Glucksberg’s, and Gentner’s theories are discussed. The main finding is that the data, the problems, the heuristics and the hypotheses which have been partly shaped by the rivals contribute to the development of the particular theories to a considerable extent

Marking as judgment

An aspect of assessment which has received little attention compared with perennial concerns, such as standards or reliability, is the role of judgment in marking. This paper explores marking as an act of judgment, paying particular attention to the nature of judgment and the processes involved. It brings together studies which have explored marking from a psychological perspective for the purpose of critical discussion of the light they shed on each other and on the practice of marking. Later stages speculate on recent developments in psychology and neuroscience which may cast further light on educational assessment

Research on the reasoning, teaching and learning of probability and uncertainty

In this editorial, we set out the aims in the call to publish papers on informal statistical inference, randomness, modelling and risk. We discuss how the papers published in this issue have responded to those aims. In particular, we note how the nine papers contribute to some of the major debates in mathematics and statistics education, often taking contrasting positions. Such debates range across: (1) whether knowledge is fractured or takes the form of mental models; (2) heuristic or intuitive thinking versus operational thinking as for example in dual process theory; (3) the role of different epistemic resources, such as perceptions, modelling, imagery, in the development of probabilistic reasoning; (4) how design and situation impact upon probabilistic learning

Operational Research in Education

Operational Research (OR) techniques have been applied, from the early stages of the discipline, to a wide variety of issues in education. At the government level, these include questions of what resources should be allocated to education as a whole and how these should be divided amongst the individual sectors of education and the institutions within the sectors. Another pertinent issue concerns the efficient operation of institutions, how to measure it, and whether resource allocation can be used to incentivise efficiency savings. Local governments, as well as being concerned with issues of resource allocation, may also need to make decisions regarding, for example, the creation and location of new institutions or closure of existing ones, as well as the day-to-day logistics of getting pupils to schools. Issues of concern for managers within schools and colleges include allocating the budgets, scheduling lessons and the assignment of students to courses. This survey provides an overview of the diverse problems faced by government, managers and consumers of education, and the OR techniques which have typically been applied in an effort to improve operations and provide solutions