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Hayek’s “Use of knowledge in society” is often misunderstood. Hayek’s point is not just that prices aggregate dispersed knowledge, but also that the knowledge embedded in prices would not exist absent the market process. Later, in The Constitution of Liberty, he argues that this same idea can also be applied to the study of political and collective choice phenomena. Democracy is not just about aggregating preferences. Absent the democratic process, the knowledge necessary to solve collective problems is not generated. We compare this perspective on democracy to Bryan Caplan’s and Helen Landemore’s theories, and we argue that Hayek’s account focused on “opinion falsification” is richer. Unlike Caplan or Landemore, who adopt a static perspective, Hayek is more interested in the long-term tendencies and feed-back mechanisms. For example, why do Western democracies seem to have gradually moved away from the most deleterious types of economic policies (such as price controls)? Hayek’s conjecture is that the democratic process itself is responsible for this. We connect Hayek’s conjecture about democracy to the broader argument made by Vincent Ostrom, who has claimed that public choice should study not just incentive structures, but also collective learning processes. We believe that this line of research, that is, comparative institutional analysis based on the collective learning capacities embedded in alternative institutional arrangements, merits a lot more attention than it has received so far. The question “Which collective choice arrangements have the best epistemic properties?” is one of the most important neglected questions in political economy.

The internet and search engines dominate within people’s information acquisition, especially among the younger generations. Given this trend, this study aims to explore if information and communication technology (ICT) practices, internet reliance and views of knowledge and knowing, i.e. epistemic beliefs, interact with each other. Everyday practices and conceptions among beginning undergraduate students are studied as a challenge for higher education.

The study builds upon survey-based quantitative data operationalising students’ epistemic beliefs, their internet reliance and their ICT practices. The survey items were used to compute subscales describing these traits, and the connections were explored using correlations analysis.

The results suggest that the more beginning undergraduate students rely on internet-based information, the more they are inclined to epistemic beliefs where knowledge is regarded as certain, unchanging, unambiguous and as being handed down by some authority.

The approach used in the study applies to the sample used, and further research is required to test the applicability of the approach on larger samples.

The study highlights the risk of everyday information practices being transferred into the educational context.

Ignorance of these changes may pose a risk for knowledge building on different educational levels and in a longer perspective, a threat to democracy.

While there is some research on epistemic beliefs in relation to internet-based information, studies approaching the problem over a possible connection between epistemic beliefs and internet reliance are scarce. In addition, this study implies a conceptual bridge between epistemic beliefs and internet reliance over the concept of algorithmic authority.

This chapter describes how conversational computer agents have been used in collaborative problem-solving environments. These agent-based systems are designed to (a) assess the students’ knowledge, skills, actions, and various other psychological states on the basis of the students’ actions and the conversational interactions, (b) generate discourse moves that are sensitive to the psychological states and the problem states, and (c) advance a solution to the problem. We describe how this was accomplished in the Programme for International Student Assessment (PISA) for Collaborative Problem Solving (CPS) in 2015. In the PISA CPS 2015 assessment, a single human test taker (15-year-old student) interacts with one, two, or three agents that stage a series of assessment episodes. This chapter proposes that this PISA framework could be extended to accommodate more open-ended natural language interaction for those languages that have developed technologies for automated computational linguistics and discourse. Two examples support this suggestion, with associated relevant empirical support. First, there is AutoTutor, an agent that collaboratively helps the student answer difficult questions and solve problems. Second, there is CPS in the context of a multi-party simulation called Land Science in which the system tracks progress and knowledge states of small groups of 3–4 students. Human mentors or computer agents prompt them to perform actions and exchange open-ended chat in a collaborative learning and problem-solving environment.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

Learners’ dispositional attributes form the foundations for their learning behaviour and therefore academic outcomes. This study aims to explore the dispositional attributes of postgraduate learners in coursework programs, and to understand the relationships between dispositional attributes and academic achievement at this level.

This study profiled the dispositions towards learning of 880 Master’s students in Australia, reported in an online survey. Statistical analysis was used to explore the possibility of underlying dispositional dimensions and latent clusters of participants within the cohort.

The profile of the cohort overall was as expected for an elite academic group, yet there was substantial variation between individuals. Cluster analysis identified three groups of students with meaningfully different dispositional profiles. Exploratory factor analysis revealed two underlying dispositional dimensions, representing epistemic and agentic attributes. Epistemic attributes were most closely related to academic achievement.

It is argued that students at Master’s level typically possess the agentic attributes necessary for effective self-regulation. At this level, therefore, epistemic attributes are more relevant for differentiating between higher and lower achieving students. The attainment of sophisticated epistemic attributes is in line with the stated goals of postgraduate education. This supports the explicit teaching of metacognitive and epistemic skills within postgraduate degrees.

This study contributes a detailed analysis of Master’s students’ dispositional profiles. Two underlying dispositional dimensions are identified, representing agentic and epistemic attributes. The importance of epistemic attributes for postgraduate academic achievement identifies an opportunity for targeted interventions to raise the quality of learning at this level.

Evaluation of research is a core function of academic work, yet there has been very little theoretical development about what it means to ‘know’ in relation to judgements made in examination of doctoral research. This chapter addresses the issue by reflecting on findings from three projects aimed at enhancing understanding of doctoral examination. In order to progress understanding about knowledge judgements in the doctoral research context, the chapter draws on two key contributions in the field of knowledge and knowing, namely, Habermas’ cognitive interests and Chinn, Buckland and Samarapungavan’s notion of epistemic cognition. It examines the common ground between the two bodies of theory, drawing illustratively on empirical work in the field of doctoral examination. The comparison of the Habermasian theory of cognitive interests with Chinn et al.’s notion of epistemic cognition led to the conclusion that there were areas of overlap between the two conceptual schemas that could be utilised to advance research into doctoral examination in higher education. Habermas’ cognitive interests (which underpin his ways of knowing theory) offer a conceptual lens that facilitates analysis of the interaction of ontological and epistemic components of knowledge production. Chinn et al.’s notion of epistemic cognition allows for finer grained analysis of aspects of the cognitive work involved in knowledge rendition. This work is particularly pertinent in an era that sees the boundaries of the disciplines being challenged by the need for new perspectives and cross-disciplinary approaches to solving complex problems.

The purpose of this paper is to gain insight into how management accountants can become relevant business partners out of respect for existing locally developed accounts of economic performance for decision-making.

The paper is based on qualitative semi-structured interviews with local business actors, in this case, families from seven financially successful Danish dairy farms. The casework and the analysis have been informed by pragmatic constructivism.

The local business actors do not use the official accounting system for ongoing cost-management-related decision-making. Instead, they use several epistemic methods that include locally developed decision models, experiences, rules of thumb and intuition. The farmers use these vernacular accountings to compensate for the cost management illusion that the formal accounting system tends to create. What the study suggests is that when management accountants engage as business partners, they are likely to enter a space where accounting is already present.

This paper argues that local business actors practice epistemic methods where they develop and use vernacular accountings to support their managerial practice, also in the absence of a professional management accountant. These vernacular accountings may lead the local actors into an illusion because the vernacular accountings do not necessarily have an inherent economic logic and theoretical reliability. The role of the management accountant in such a setting is hence to understand, support and advance local epistemic methods. Becoming a business partner requires a combination of management accounting analytical skills and a sense of empathy and sensitivity regarding what is already at play and how this can become an object of discussion without violating the values of the other.

This paper aims to explore the epistemic connections between three instructional coaches and a first-year in-service teacher during remote planning and debrief meetings. Prior evidence suggests that remote instructional coaching leads to better teaching practices and identifies the instructional coaching moves used to prompt teacher reflection.

In this study, the authors utilized quantitative ethnography and epistemic network analysis (ENA) approaches to explore the epistemic frames of three remote university-based instructional coaches as they supported a first-year in-service teacher.

Quantitative ENA findings shed light on the network connections between instructional coaches and teachers, as well as the epistemic frames observed during planning and debrief meetings. Additionally, the authors provide qualitative findings that complement and reinforce the quantitative results.

All data collection occurred via Zoom, and the class was in a hybrid modality, with some students attending class in person and some attending remotely via Zoom. This unique context could have impacted the epistemic connections surrounding technology and logistics.

This study provides a practical codebook for use in future studies that explores instructional coaching. Findings from this study can be used to inform instructional coaching decisions.

The ENA findings helped deepen the authors' understanding of how instructional coaches can support a first-year in-service teacher during planning and debrief meetings in several ways. Additionally, this study presents a unique context given the COVID-19 pandemic and the remote model of instructional coaching.

The purpose of this paper is to examine the value of decolonial approaches (DAs) such as epistemic locus (Mignolo, 1995, 2000) in studying innovation.

This paper is based on a case study of a stem cell surgical innovation developed in India. A critical hermeneutic analysis method has been followed for data analysis.

Epistemic locus influences the framing of the problem, perceptions of risks/opportunities as well as the envisioning of alternate institutional systems. Persistent and strategic effort at building connections changes local improvisation into a globally legitimate innovation.

It indicates the value of using DAs for innovation studies especially epistemic locus, enactment and connections in understanding knowledge generation and innovation.

Innovation in Global South can be encouraged by giving more space to the innovator to attempt or experiment. More conscious conversation of epistemic locus of the researcher could help.

Countries have to move beyond a mere technological imitation to include discussions on epistemic imitation. Epistemic imitation prevents one from seeing what one has and one only looks at conditions from the eyes of the dominator.

This study documents the development of an innovation from an Indian epistemic locus which differs from a western epistemic locus and the impact this has on an innovation.

To encourage more just open educational practices, the purpose of this paper is to describe Jose Medina’s theory of epistemic justice and develop a framework applying this conception of epistemic justice to OEP through learning design. The authors hope this framework will help researchers and practitioners develop more equitable learning experiences in open educational contexts.

This paper is conceptual and design-oriented. This paper seeks to draw relationships between José Medina’s work in The Epistemology of Resistance, recent empirical studies in learning design and OEP. By analyzing relationships between these works, this paper lays out design principles that can empower educators seeking to create equitable open learning experiences.

This paper finds several generative intersections between the social justice centered epistemology presented by Medina, empirical learning design studies and OEP. This study finds that structured learning designs which integrate well-researched principles may provide guidance for further practice and research in ways not generally discussed in open education literature. This paper builds on these findings by describing practical ways these intersections can be implemented in OEP.

To the best of the authors’ knowledge, this is the first theoretical analysis of the relationship between epistemic justice and OEP.