Learning to solve a class of problems can be characterized as a search through a space of hypotheses about the rules for solving these problems. A series of four experiments studied how different learning conditions affected the search among hypotheses about the solution rule for a simple computational problem. Experiment 1 showed that a problem property such as computational difficulty of the rules biased the search process and so affected learning. Experiment 2 examined the impact (...) of examples as instructional tools and found that their effectiveness was determined by whether they uniquely pointed to the correct rule. Experiment 3 compared verbal directions with examples and found that both could guide search. The final experiment tried to improve learning by using more explicit verbal directions or by adding scaffolding to the example. While both manipulations improved learning, learning still took the form of a search through a hypothesis space of possible rules. We describe a model that embodies two assumptions: the instruction can bias the rules participants hypothesize rather than directly be encoded into a rule; participants do not have memory for past wrong hypotheses and are likely to retry them. These assumptions are realized in a Markov model that fits all the data by estimating two sets of probabilities. First, the learning condition induced one set of Start probabilities of trying various rules. Second, should this first hypothesis prove wrong, the learning condition induced a second set of Choice probabilities of considering various rules. These findings broaden our understanding of effective instruction and provide implications for instructional design. (shrink)

A fundamental problem with the Clark & Thornton definition of a type-1 problem (requirement 2) is identified. An alternative classical statistical formulation is proposed where a type-1 (learnable) problem corresponds to the case where the learning machine is capable of representing its statistical environment.

In this thesis, we study the complexity of some mathematical problems: in particular, those arising in computable analysis and algorithmic learning theory for algebraic structures. Our study is not limited to these two areas: indeed, in both cases, the results we obtain are tightly connected to ideas and tools coming from different areas of mathematical logic, including for example descriptive set theory and reverse mathematics.After giving the necessary preliminaries, we first study the uniform computational strength of the Cantor–Bendixson (...) theorem in the Weihrauch lattice. This work falls into the program connecting reverse mathematics and computable analysis via the framework of Weihrauch reducibility. We concentrate on problems related to perfect subsets of Polish spaces, studying the perfect set theorem, the Cantor–Bendixson theorem, and various problems arising from them. As far as we know, this is the first systematic study of problems at the level of $\mathbf {\Pi }^1_1\mathsf {-CA}_0$ in the Weihrauch lattice. We show that the strength of some of the problems we study depends on the topological properties of the Polish space under consideration, while others have the same strength once the space is rich enough.We continue considering problems related to (induced) subgraphs. We provide results on the (effective) Wadge complexity of sets of graphs, that are also used to determine the Weihrauch degree of certain decision problems. The decision problems we consider are defined for a fixed graph G, and they take as input a graph H, answering whether G is an (induced) subgraph of H: we also consider the opposite problem (i.e., answering whether H is an induced subgraph of G). We conclude this part on (induced) subgraphs considering the Weihrauch degree of “search problems.”These problems are defined for a fixed graph G, and they take as input a graph H such that G is an (induced) subgraph H: the output is a copy of G in H. In both cases, we highlight differences and analogies between the subgraph and the induced subgraph relation.We then move our attention to algorithmic learning theory, and we present the framework we use to study the learnability of families of algebraic structures: here, given a countable family of pairwise nonisomorphic structures $\mathfrak {K}$, a learner receives larger and larger pieces of an arbitrary copy of a structure in $\mathfrak {K}$ and, at each stage, is required to output a conjecture about the isomorphism type of such a structure. We say that $\mathfrak {K}$ is learnable if there exists a learner which eventually stabilizes to a correct guess. The framework was lacking a method for comparing the complexity of nonlearnable families, and so we propose a solution to this problem using tools coming from invariant descriptive set theory. To do so, we first prove that a family of structures is learnable if and only if its learning domain is continuously reducible to the relation $E_0$ of eventual agreement on infinite binary sequences and then, replacing $E_0$ with Borel equivalence relations of higher complexity, we obtain a new hierarchy of learning problems. This leads to the notion of E-learnability, where a family of structures $\mathfrak {K}$ is E-learnable, for a Borel equivalence relation E, if there is a continuous reduction from the isomorphism relation associated with $\mathfrak {K}$ to E. It is then natural to ask how the notion of E-learnability interacts with “classical” learning paradigms.Finally, we study the number of mind changes that a learner needs to learn a given family, both from a topological and a combinatorial point of view, and we consider how the complexity of a learner (in terms of Turing reducibility) affects the number of mind changes for learning a given family.Abstract prepared by Vittorio Cipriani.E-mail: [email protected]: https://air.uniud.it/handle/11390/1252226. (shrink)

In recent epistemology many philosophers have adhered to a moderate foundationalism according to which some beliefs do not depend on other beliefs for their justification. Reliance on such ‘basic beliefs’ pervades both internalist and externalist theories of justification. In this article I argue that the phenomenon of perceptual learning – the fact that certain ‘expert’ observers are able to form more justified basic beliefs than novice observers – constitutes a challenge for moderate foundationalists. In order to accommodate perceptual (...) class='Hi'>learning cases, the moderate foundationalist will have to characterize the ‘expertise’ of the expert observer in such a way that it cannot be had by novice observers and that it bestows justification on expert basic beliefs independently of any other justification had by the expert. I will argue that the accounts of expert basic beliefs currently present in the literature fail to meet this challenge, as they either result in a too liberal ascription of justification or fail to draw a clear distinction between expert basic beliefs and other spontaneously formed beliefs. Nevertheless, some guidelines for a future solution will be provided. (shrink)

The performance of a connectionist learning system on a simple problem has been described by Hinton and is briefly reviewed here: a finite set is learned from a finite collection of finite sets, and the system generalizes correctly from partial information by finding simple "features" of the environment. For comparison, a very similar problem is formulated in the Gold paradigm of discrete learning functions. To get generalization similar to the connectionist system, a non-conservative learning strategy is required. (...) We define a simple, non-conservative strategy that generalizes like the connectionist system, finding simple "features" of the environment. By placing an arbitrary finite bound on the number and complexity of the features to be found, learning can be guaranteed relative to a probabilistic criterion of success. However, this approach to induction has essentially the same problems as many others that have failed. (shrink)

Using the Chinese Ring Puzzle (Kotovsky & Simon, Citation1990; P. J. Reber & Kotovsky, Citation1997), we studied the effect on rule discovery of having to plan actions or not in order to reach a goal state. This was done by asking participants to predict legal moves as in implicit learning tasks (Experiment 1) and by asking participants to make legal moves as in problem-solving tasks (Experiment 2). Our hypothesis was that having a specific goal state to reach has a (...) dual effect on rule discovery. The first effect is positive and related to feedback from moves done in order to attain the goal: generalising the results of action and associating them to the conditions in which they were obtained allows discovery of the rule and learning it. The second effect is negative. In attempting to reach a specific goal, participants first tend to reduce the distance that separates the current state from the goal state (hill climbing) and so neglect the kind of exploration that facilitates rule and procedure discovery because this would seem to be a detour from the goal. Results show that having to plan actions improved performance in implicit learning tasks (Experiment 1), yet it impaired performance in problem-solving tasks (Experiment 2). Although implicit learning and problem solving are based on rule discovery, and entail noticing regularities in the material, in both cases, rule discovery processes appear to be task-dependent. (shrink)

The aim of this article is to rethink the relation between education and progress, claiming that discourses of progress tend to project specific visions of the future and thereby instrumentalize education to achieve these visions while foreclosing other possible futures. The first part of the paper argues that the historical pact between education and progress has been recently recast in terms of learning. Learning receives at the same time an economic and a political interpretation in this context, turning (...) issues such as unemployment or social justice into learning problems. What both interpretations seem to share, however, is that learning is conceived of as a pathway to futures already known. Drawing on the philosophy of Isabelle Stengers, in whose work the concept of learning acquires a vital position, the article reframes learning in terms of a situated encounter made possible within an artificial environment, whereby the future is not being projected, but becomes thoroughly problematic—a matter of collective concern. Recent calls to ‘learn to live with’ Covid-19, but also the effects of climate change, form the point of departure for reworking the concept of learning from the inside out. (shrink)

STS represents a significant reform effort in science/technology education in grades kindergarten through the undergraduate collegiate years. It focuses on use of constructivism as a way of learning and a broader view of science, and as a way of assessing learning for real understanding. Basic to STS is teaching and the assessment of learning in multiple domains, namely, concepts, processes, the application of both to new situations, the nature and history of science, creativity skills, and attitude. When (...) education occurs in STS classrooms, students grow significantly in all domains and more so than in traditional classrooms. (shrink)

It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring that (...) the resulting predictive model does not use race as an explicit predictor. However, if race is correlated with measured recidivism in the training data, the ML tool may ‘learn’ a perfect proxy for race. If such a proxy is found, the exclusion of race would do nothing to weaken the correlation between risk (mis)classifications and race. Is this a problem? We argue that, on some explanations of the wrongness of discrimination, it is. On these explanations, the use of an ML tool that perfectly proxies race would (likely) be more wrong than the use of a traditional tool that imperfectly proxies race. Indeed, on some views, use of a perfect proxy for race is plausibly as wrong as explicit racial profiling. We end by drawing out four implications of our arguments. (shrink)

This book describes the pedagogical foundations of the Roskilde Model of education and educational design. It presents knowledge about how principles of problem-oriented, interdisciplinary and participant-directed project work may serve as a basis for planning and applying educational activities at institutions of higher learning. It discusses the dilemmas, problems, and diverging views that have challenged the model, provoking experiments and reforms that have helped develop practice without compromising the key principles. The Roskilde Model combines various student-centered learning (...) concepts into a nexus, providing the foundation for a consistent pedagogical practice that is strongly supported by the educational structure and the academic profile of the university. A complex concept, the Roskilde Model refers to three different aspects: The first one is problem-oriented interdisciplinary and participant-directed project work (PPL). At Roskilde University, half of all study activities are organized in line with this particular pedagogical approach. The second aspect the model refers to is the organizing of university education on the basis of four interdisciplinary bachelor programmes. These programmes are part of the humanities, social sciences, natural sciences, and humanistic-technological sciences and give admission to two-year master programmes in a broad range of disciplines. The third aspect the model refers to is the interdisciplinary academic and educational profile of the university. (shrink)

Autonomy has been the central principle underpinning changes which have affected the practice of medicine in recent years. Medical education is undergoing changes as well, many of which are underpinned, at least implicitly, by increasing concern for autonomy. Some universities have embarked on graduate courses which utilize problem-based learning (PBL) techniques to teach all areas, including medical ethics. I argue that PBL is a desirable method for teaching and learning in medical ethics. It is desirable because the nature (...) of ethical enquiry is highly compatible with the learning processes which characterize PBL. But it is also desirable because it should help keep open the question of what autonomy really is, and how it should operate within the sphere of medical practice and medical education. (shrink)

Objective: To evaluate one ethics rounds model by describing nurses’ and doctors’ experiences of the rounds. Methods: Philosopher-ethicist-led interprofessional team ethics rounds concerning dialysis patient care problems were applied at three Swedish hospitals. The philosophers were instructed to promote mutual understanding and stimulate ethical reflection, without giving any recommendations or solutions. Interviews with seven doctors and 11 nurses were conducted regarding their experiences from the rounds, which were then analysed using content analysis. Findings: The goal of the rounds was (...) partly fulfilled. Participants described both positive and negative experiences. Good rounds included stimulation to broadened thinking, a sense of connecting, strengthened confidence to act, insight into moral responsibility and emotional relief. Negative experiences were associated with a sense of unconcern and alienation, as well as frustration with the lack of solutions and a sense of resignation that change is not possible. The findings suggest that the ethics rounds above all met the need of a forum for crossing over professional boundaries. The philosophers seemed to play an important role in structuring and stimulating reasoned arguments. The nurses’ expectation that solutions to the ethical problems would be sought despite explicit instructions to the contrary was conspicuous. Conclusion: When assisting healthcare professionals to learn a way through ethical problems in patient care, a balance should be found between ethical analyses, conflict resolution and problem solving. A model based on the findings is presented. (shrink)

People with severe learning disability are particularly difficult to include in the research process. As a result, researchers may be tempted to focus on those with learning disability who can be included. The problem is exacerbated in this field as the political agenda of inclusion and involvement is driven by those people with learning disability who are the higher functioning. To overcome this we should first detach the notion of consent from ideas about autonomy and think instead (...) of it as a way to avoid wronging others; this fits the original historical use of consent in research. This allows us to think in terms of including participants to the best of their abilities rather than in terms of a threshold of autonomy. Researchers could then use imaginative ways to include the least able and to ensure they are not wronged in research or by exclusion from it. (shrink)

The aim of this study was to compare the learning effectiveness of peer tutored problem-based learning and conventional teaching of nursing ethics in Taiwan. The study adopted an experimental design. The peer tutored problem-based learning method was applied to an experimental group and the conventional teaching method to a control group. The study sample consisted of 142 senior nursing students who were randomly assigned to the two groups. All the students were tested for their nursing ethical discrimination (...) ability both before and after the educational intervention. A learning satisfaction survey was also administered to both groups at the end of each course. After the intervention, both groups showed a significant increase in ethical discrimination ability. There was a statistically significant difference between the ethical discrimination scores of the two groups (P < 0.05), with the experimental group on average scoring higher than the control group. There were significant differences in satisfaction with self-motivated learning and critical thinking between the groups. Peer tutored problem-based learning and lecture-type conventional teaching were both effective for nursing ethics education, but problem-based learning was shown to be more effective. Peer tutored problem-based learning has the potential to enhance the efficacy of teaching nursing ethics in situations in which there are personnel and resource constraints. (shrink)

This text aims to rethink educational activity inspired by the thought of the philosopher Ignacio Ellacuría, in what we have synthesised as a pedagogy of poverty. This should be understood as a pedagogy that, in the neoliberal context of Western societies, takes poverty as its motor—its efficient cause—and as its essence or fundamental structure—its formal cause –, in the duality of dimensions of its genitive. It is concretised in what is presented as Problem-Based Service-Learning (PB-SL). Through specific pedagogical guidelines (...) for implementing this methodology, this study indicates how the teaching action can show the learner what is immediate, what is not constructed, what consciousness does not establish but rather encounters: reality—weak, limited, imperfect, needy; in short, poor—as a problem and, in its deficiency and insufficiency, as a task towards which the subject has a responsibility. This reveals the fundamental anthropological structure to the learner: its intrinsic relational character—its reality as a being-in-a-suffering-world, who lives-with and lives-to save the needy who share its humanity. It is then possible to perceive the scale of the ultimate aim of PB-SL: the need to create the social conditions for a praxis that enables a dignification of reality. (shrink)

Objective We conducted a process evaluation to (a) assess the effectiveness of a new problem-based learning curriculum designed to teach professionalism and scientific integrity to biomedical graduate students and (b) modify the course to enhance its relevance and effectiveness. The content presented realistic cases and issues in the practice of science, to promote skill development and to acculturate students to professional norms of science. Method We used 5-step Likert-scaled questions, open-ended questions, and interviews of students and facilitators to assess (...) curricular effectiveness. Results Both facilitators and students perceived course objectives were achieved. For example, respondents preferred active learning over lectures; both faculty and students perceived that the curriculum increased their understanding of norms, role obligations and responsibilities of professional scientists. They also reported an increased ability to identify ethical situations and felt that they had developed skills in moral reasoning and effective group work. Conclusions These data helped to improve course implementation and instructional material. For example, to correct a negative perception that this was an ‘ethics’ course, we redesigned case debriefing activities to reinforce learning objectives and important skills. We refined cases to be more engaging and relevant for students, and gave facilitators more specific training and resources for each case. The problem-based learning small group strategy can stimulate an environment whereby participants are more aware of ethical implications of science, and increase their socialisation and open communication about professional behaviour. (shrink)

Imprecise probabilism—which holds that rational belief/credence is permissibly represented by a set of probability functions—apparently suffers from a problem known as dilation. We explore whether this problem can be avoided or mitigated by one of the following strategies: (a) modifying the rule by which the credal state is updated, (b) restricting the domain of reasonable credal states to those that preclude dilation.

The problem of mortality treats death as posing a paradox for the narrative view of the self. This view, on some interpretations, needs death in order to complete a life in a manner analogous to the ending of a story. But death is inaccessible to the subject herself, and so the analogy fails. Our inability to grasp the event of our own death is thought to undermine the possibility of achieving a meaningful, coherent, or complete life on narrativist terms. Narrativist (...) attempts to solve the problem of mortality often involve exercises in "learning to be dead" in an effort to demonstrate that one's death is not entirely outside one's grasp. But there are different versions of the problem of mortality, which invite disparate solutions. I argue that most versions do not in fact pose a significant conundrum for the narrative view of the self. In order to strike at the narrative view in particular, in a fashion that is significant and a form that is paradoxical, a quite specific type of death must be at issue--one that is sudden and unanticipated. But a suggested solution to this version of the problem of mortality implies that the problem can be dissolved by disavowing certain alleged narrative presuppositions that fuel it. Those suppositions may, in turn, be essential to sustaining a uniquely narrative outlook on life and death. (shrink)

There is evidence that problem-based learning (PBL) is an effective approach to teach team and problem-solving skills, but also to acquire content knowledge. However, there is hardly any literature about using PBL in philosophy classes. One problem is that PBL is resource intensive because a facilitator is needed for each group of students to support learning efforts and monitor group dynamics. In order to establish more PBL classes, the question is whether PBL can be provided without the need (...) for facilitators. We present a combination of five strategies—among them the collaborative argument visualization software AGORA-net—to replace facilitators. Additionally, we present evidence that these strategies are sufficient to provide a PBL experience that achieves intended learning goals in an ethics class and is satisfying for students without facilitators. (shrink)

There are several challenges associated with traditional business ethics education. While case studies have been used extensively in ethics education, such use can be complemented by using Problem Based Learning (PBL). PBL represents a pedagogy employing more collaborative tools that involve students more extensively in the learning process. A well-designed teaching approach based on PBL can have significant positive impact on students’ learning. This paper supplies a representative teaching interaction based on PBL, and discusses the implications of (...) its structure. Introducing PBL is challenging and comes with significant costs as faculty members have to be trained, roles have to be exchanged, powers have to be relinquished, and learning materials have tobe written. We conclude that PBL is suitable for an ethics course as most ethical situations require introspection, reflection, discovery, and concern for other viewpoints, all of which can be facilitated in a PBL environment. (shrink)

Lenin, the great teacher of the proletariat, was deeply concerned with both the development of socialist literature and the problem of the correct critical acceptance of the literary heritage by the proletariat. Lenin frequently spoke of the works of Pushkin, Lermontov, Gogol, Tolstoy, Turgenev, Nekrasov, Shchedrin, Chekov, and others. Among the western European classical authors he particularly respected Shakespeare, Goethe, Heine, Hugo, Dickens, and Zola. In the brilliant classical writings which Lenin has left us he frequently made use of artistic (...) images, first molded in classical literary works, with which the people were familiar in order to expound problems of a theoretical nature. Furthermore he used them as tools for carrying on ideological education for the people. For example, in his writings Materialism and Empiriocriticism, and "The Marxist Critics and the Land Question," he used the image of Voroshilov, the false man of learning in Turgenev's novel Smoke, to elucidate a problem; he used the satirical images of bourgeois liberals from Shchedrin to reveal the basic nature of the enslavement and oppression of the people by the reactionary party, and so on. In addition, Lenin has left us in his works many incisive views directly related to the problem of the critical acceptance of the literacy heritage. They constitute an indivisible part of Lenin's theoretical estate. To study new Lenin's theories on the problem of the critical acceptance of the literacy heritage can be of great help to us today for our own correct treatment of the classical literacy heritage. (shrink)

This article presents a computational model of the learning of diagnostic knowledge, based on observations of human operators engaged in real-world troubleshooting tasks. We present a model of problem solving and learning in which the reasoner introspects about its own performance on the problem-solving task, identifies what it needs to learn to improve its performance, formulates learning goals to acquire the required knowledge, and pursues its learning goals using multiple learning strategies. The model is implemented (...) in a computer system which provides a case study based on observations of troubleshooting operators and protocol analysis of the data gathered in the test area of an operational electronics manufacturing plant. The model not only addresses issues in human learning, but, in addition, is computationally justified as a uniform, extensible framework for multistrategy learning. (shrink)

Two great problems of learning confront humanity: learning about the universe, and learning how to live wisely. The first problem was solved with the creation of modern science, but the second problem has not been solved. This combination puts humanity into a situation of unprecedented danger. In order to solve the second problem we need to learn from our solution to the first problem. This requires that we bring about a revolution in the overall aims and (...) methods of academic inquiry, so that it takes up its proper task of promoting wisdom. (shrink)

Clark & Thornton's conception finds an echo in implicit learning research, which shows that subjects may perform adaptively in complex structured situations through the use of simple statistical learning mechanisms. However, the authors fail to draw a distinction between, on the one hand, subjects' representations which emerge from type-1 learning mechanisms, and, on the other, their knowledge of the genuine abstract “recoding function” which defines a type-2 problem.

As attention to the pervasiveness and severity of environmental challenges grows, technical universities are responding to the need to include environmental topics in engineering curricula and to equip engineering students, without training in ethics, to understand and respond to the complex social and normative demands of these issues. But as compared to other areas of engineering ethics education, environmental ethics has received very little attention. This article aims to address this lack and raises the question: How should we teach environmental (...) ethics to engineering students? We argue that one key aspect such teaching should address is the tendency of engineers towards technical framing of (social) problems. Drawing then on engineering ethics pedagogy we propose that the competencies of moral sensitivity and critical thinking can be developed to help engineering students with problem (re)framing. We conclude with an example from our teaching that operationalizes these competencies. (shrink)

Considerable evidence indicates that domain specific knowledge in the form of schemas is the primary factor distinguishing experts from novices in problem‐solving skill. Evidence that conventional problem‐solving activity is not effective in schema acquisition is also accumulating. It is suggested that a major reason for the ineffectiveness of problem solving as a learning device, is that the cognitive processes required by the two activities overlap insufficiently, and that conventional problem solving in the form of means‐ends analysis requires a relatively (...) large amount of cognitive processing capacity which is consequently unavailable for schema acquisition. A computational model and experimental evidence provide support for this contention. Theoretical and practical implications are discussed. (shrink)

Like most good educational interventions, problem-based learning (PBL) did not grow out of theory, but out of a practical problem. Medical students were bored, dropping out, and unable to apply what they had learned in lectures to their practical experiences a couple of years later. Neurologist Howard S. Barrows reversed the sequence, presenting students with patient problems to solve in small groups and requiring them to seek relevant knowledge in an effort to solve those problems. Out of (...) his work, PBL was born.The book is divided into four sections, each containing contributions by leaders in the field. Chapters in the first section focus on the structure of PBL and the critical elements of the approach. Articulating the underlying problems to be addressed, the role of facilitators, and the process to be followed in achieving a successful PBL intervention are all discussed. The second section explores how PBL has been adapted to function in areas outside medicine, from climate science to teacher education, while the third section explores how the methodology has been combined with other approaches to teaching and learning, such as learning by design and project-based learning. The fourth section assesses the impact of PBL techniques on improving both research and teaching. An epilogue speculates about the future of PBL, synthesizing contributions from the previous chapters and suggesting key themes for further exploration. (shrink)

ABSTRACT In this paper we discuss the potential of digital games to create meaningful educational experiences that contribute to the learning of ethics in higher education Science, Technology, Engineering and Mathematics degrees. We describe the design of a new digital ethics game with a focus on the challenges we encountered when applying existing theoretical frameworks for educational games and propose ways to address these challenges. We contend that existing design frameworks fail to account for the ‘wickedness’ of ethical (...) class='Hi'>problems – i.e. their inconclusive, complex, and sometimes inherently contradictory nature – as they are centred around consequentiality and consistent game-system feedback to players’ actions. Drawing from a Deweyan account of the ‘educative experience’ we seek to contribute to a domain-adequate theory of transformational experience and transformational play in the context of educational ethics game design. (shrink)

The problem of fair machine learning has drawn much attention over the last few years and the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also raises important conceptual issues that would fail to be addressed if one relies entirely on empirical considerations. Herein, I will argue that the current debate has developed an empirical framework that has brought important contributions to the development of algorithmic decision-making, such as new techniques to discover and prevent discrimination, additional (...) assessment criteria, and analyses of the interaction between fairness and predictive accuracy. However, the same framework has also suggested higher-order issues regarding the translation of fairness into metrics and quantifiable trade-offs. Although the tools which have been developed so far are essential to address discrimination encoded in data and algorithms, their integration into society elicits key questions such as: What kind of assumptions and decisions underlies the empirical framework? How do the results of the empirical approach penetrate public debate? What kind of reflection and deliberation should stakeholders have over available fairness metrics? I will outline the empirical approach to fair machine learning, i.e. how the problem is framed and addressed, and suggest that there are important non-empirical issues that should be tackled. While this work will focus on the problem of algorithmic fairness, the lesson can extend to other conceptual problems in the analysis of algorithmic decision-making such as privacy and explainability. (shrink)

In the context of office work, learning to handle an Enterprise Resource Planning system is important as implementation costs for such systems and associated expectations are high. However, these expectations are often not met because the users are not trained adequately. Electronic Performance Support Systems are designed to support employees’ ERP-related problem-solving and informal learning. EPSS are supposed to enhance employees’ performance and informal workplace learning through task-specific and granular help in task performance and problem-solving. However, there (...) is little empirical research on EPSS. Two survey studies addressed this research gap. In the first study, 301 people working in Human Resource -related positions and functions evaluated the learning potential of EPSS as well as potential advantages and obstacles concerning the implementation and use of EPSS. Though other measures are currently assessed as more important for learning, HR employees expect a strong increase in the significance of EPSS for employee learning. In the second study, 652 users of ERP software completed a questionnaire on characteristics of their daily work tasks, team characteristics, individual dispositions, their coping with ERP-related problems, and characteristics of EPSS. Findings indicate that the most frequently available and used approach when dealing with an ERP-related problem is consulting colleagues. Three EPSS types can be distinguished by their increasing integration into the user interface and their context-sensitivity. While external and extrinsic EPSS are available to many users, intrinsic EPSS are less common but are used intensively if available. EPSS availability is identified to be a strong positive predictor of frequency of EPSS use, while agreeableness as well as the task complexity and information-processing requirements show small negative effects. Moreover, more intensive ERP users use EPSS more frequently. In general, ERP users value, features such as context-sensitivity, an integration of the EPSS into the ERP system’s user interface, the option to save one’s own notes, and information displayed in an extra window. It is expected that EPSS will play an important role in workplace learning in the future, along with other measures. (shrink)

In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive affect. (...) It was found that motto-goals are effective with unpleasant duties. Therefore, we tested the hypothesis that motto-goals outperform learning and performance goals in the case of complex problems. A total of N = 123 subject participated in the experiment. In dependence of their goal condition, subjects developed a personal motto, learning, or performance goal. This goal was adapted for the computer-simulated complex scenario Tailorshop, where subjects worked as managers in a small fictional company. Other than expected, there was no main effect of goal condition for the management performance. An unexpected gender effect revealed better performance for men than women, pointing to a potential stereotype threat. As hypothesized, motto goals led to higher positive and lower negative affect than the other two goal types. Even though positive affect decreased and negative affect increased in all three groups during Tailorshop completion, participants with motto goals reported the lowest rates of negative affect. Exploratory analyses investigated the role of affect in complex problem solving via mediational analyses and the influence of goal type on perceived goal attainment. (shrink)