Search results

This chapter explores the potential of grounded theory research methods for eliciting threshold concepts. It begins with an overview of threshold concept theory, then reviews current methodological approaches, as well as challenges encountered, when researching threshold concepts. The discussion argues for the suitability of grounded theory for this purpose, using a specific case for illustration. Specific elements of the research design that strengthened the use of grounded theory in the exploration of threshold concepts are described. The case example used is of graduate students and practicing professionals’ learning experiences when acquiring expertise in the online environment. The case is used to demonstrate the grounded theory method’s efficacy for eliciting evidence of transformative learning experiences, leading to implications for improving curriculum design.

If we want to improve managerial cognition, we need to capture the full spectrum of cognitive functions and the complex processes through which they unfold. I propose two very different methods (one older and low-tech, one newer and high-tech) that allow us to observe cognitive functions and processes directly in real time.

This chapter examines the impact of information digitization on the rise of misinformation, and the broader implications that this has for democracy. It is based on the Researching Students Information Choices (RSIC) project, which looks at how students evaluate scientific information on the internet.¹ Part of this study looked at container collapse.

In previous decades, information was contained in a physical book, newspaper, journal, magazine, or the like. These containers offered important contextual information about the origin and validity of the information. With information digitized, this context is lost. This can facilitate misinformation, as people might make incorrect judgments about information credibility because of the lack of context.

It is vital that citizens have the information literacy skills to initially evaluate information correctly. One possibility for misinformation being pervasive is that, once encoded, it becomes resistant to correction. This underscores the importance of teaching students to evaluate the credibility of information prior to the point of encoding.

To combat misinformation, librarians can teach students to evaluate containers and the indicators of credibility that they provide. Information containers can be evaluated prior to consuming information within a resource, while fact-checking only can happen after. Because of this, container evaluation can help prevent misinformation from being encoded. Our research demonstrates that this requires thoughtful engagement with the information resources and critical evaluation of the sources that produced them, and that students cannot accurately identify containers when they rely on heuristics like the URL and Google snippet.

Expertise in designing organizations is an important construct for scholars interested in studying the micro-foundations of organizational performance. We investigate the existence and nature of this expertise in this chapter. Conceptualizing the designing of organizations as a problem-solving process, we describe the underlying structure of this problem space. Further, we propose that this process of problem solving should look different for “greenfield” design problems and for “brownfield” redesign problems. We test our arguments through a comparison of the think-aloud verbal protocols of 16 subjects with greater experience with organization design problems (experts) and 16 subjects with significantly lower experience with organization design problems (novices). The results suggest that the parts of the problem that experts focus on are different from those that novices focus on, and expertise matters differently for design and redesign problems.

There has been a long-standing concern and controversy in the consumer behavior and related literature about the accuracy of consumers’ self-reports of their mental processes. While some researchers have found such reports to be susceptible to a number of inaccuracies, others have found them to be reasonably accurate. This study contributes to the debate by comparing consumers’ self-reports of their information acquisition processes in decision making with process-tracing measures of the same processes, and doing so within the context of research design recommendations suggested by Ericsson and Simon (1980, 1984, 1993) for collecting valid retrospective self-reports. Data for the study were collected in a decision-making experiment in which a custom-made computer software was used to administer two decision tasks and to unobtrusively measure subjects’ information acquisition patterns (process-tracing measures). Self-report measures were collected by means of a questionnaire administered after subjects completed both tasks. Descriptive discriminant analysis (with self-report measures as dependent and scores on process-tracing measures as independent variables) shows that subjects were able to accurately report their information acquisition patterns. For both decision tasks, the majority of subjects who were classified by the discriminant functions as using a particular information acquisition strategy actually reported using such a strategy. Implications of the findings are outlined and discussed.

With behavioral experiments and protocol analysis, researchers can capture cognition in action. Using behavioral experiments, they can study realized behavior, not perception or self-reports. And they can do that in a controlled laboratory environment to establish causality, curbing spurious relationships. With protocol analysis, a method to elicit decision-makers’ thoughts, researchers can tap into cognitive processes. In combination, the two methods offer a novel approach to grasp mental processes alongside behavior, to reach causality and replicate findings. We describe the methods, demonstrate how researchers can apply them, and share practices from the design of experimental instruments to the replication of findings.

Technical solutions can be important when key communicators take on the task of making sense of social media flows during crises. However, to provide situation awareness during high-stress assignments, usability problems must be identified and corrected. In usability studies, where researchers investigate the user-friendliness of a product, several types of data gathering methods can be combined. Methods may include subjective (surveys and observations) and psychophysiological (e.g. skin conductance and eye tracking) data collection. This chapter mainly focuses on how the latter type can provide detailed clues about user-friendliness. Results from two studies are summarised. The tool tested is intended to help communicators and journalists with monitoring and handling social media content during times of crises.

A comparative analysis of the results of two longitudinal studies conducted a decade apart, among research post-graduate students, with the purpose of understanding the progress in their information literacy (IL) skills, forms the content of this report. The analysis is based on the application of the Research and Information Search Expertise (RISE) model, which traces students’ progression across four stages of expertise. Such progression was measured across two dimensions of knowledge: that of information sources/databases and that of information search skills. Both studies adopted basic interpretive qualitative methods involving direct observation, interviews, think-aloud protocols, and survey questionnaires, during each of the five interventions, which were spread over a one to one-and-half year period. Scaffolding training was provided at each meeting and data were collected to assess the influence of such training on development of search expertise. A comparison of the findings reveals that students in both studies advance in their IL skills largely in a similar manner. Scaffolding support was found to help both dimensions of knowledge and that lack of one or the other type of knowledge could hinder their ability to find relevant sources for their research. The studies make evident the need for training programs for higher education students, to improve both their knowledge of information sources and their search techniques, tailor-made to closely correlate to their specific information needs. The studies provide insights into student behaviors in the development of IL skills, and the RISE model offers a framework for application to other similar research.

This chapter examines adolescent metacognitive knowledge in a fresh light and answers some methodological questions related to the investigation of the deepest layers of thinking during the information search. It does so by presenting a study that used an ethnographic approach to investigate the metacognitive knowledge of 10 adolescents, aged 16 to 18, over the course of four months, and in a variety of settings –– home, school, public libraries –– as they searched for, collected, and then used information for a school project. The study was framed by Flavel's model of metacognition (1977) and Kuhlthau's information search process (ISP) model, a six-stage, multidimensional model of information problem solving (1991, 2004). The chapter begins with a discussion about the ISP, metacognitive knowledge, and its potential for information seeking. The chapter then presents the findings of the study as a set of gaps and strengths of adolescent metacognitive knowledge, and concludes with commentary about the challenges and rewards related to conducting research with young people and suggestions for future areas of research.