This chapter uses the figure of the "organic intellectual" to provide a model for political speech and action by educational developers.

The log-linear cognitive diagnosis model (LCDM) is a modern technique that dichotomously classifies individuals (e.g., possession and non-possession) on attributes of a multidimensional construct, which is particularly suited to diagnostic and formative assessments where a classification decision is desired (e.g., to assign intervention or not).…

Purpose: The purpose of this paper is to develop a hierarchical model to rank the challenges faced by the private Malaysian higher education institutions (HEIs) in the provision of quality education and subsequently their corresponding critical success factors (CSFs) to address those challenges. Design/methodology/approach: A sequential mix method…

Using an economic model of academic behaviour, Jorgensenn and Hanssen ("Higher Education," 76, 1029-1049, 2018) find that a research incentive based on pages of output would not compromise research quality. Given that quantity is more easily observable, they suggest that such an incentive may have merit as an actual policy. This finding…

In this article, alternative randomized response models are proposed, which make use of sum of quantitative scores generated from two decks of cards being used in a survey. The proposed methods are compared to the Odumade and Singh and Singh and Grewal models through a simulation study. It is shown that the modified methods can be used more…

The objectives of this research were to test the fitness of the model that developed from theory and research with empirical data and to verify the factor loading value of major components, sub-components, and indicators by using descriptive research methodology. Determine the sample size in proportion between sample unit and numbers of parameter…

This paper addresses the problem of "the insufficiency of now" that stems from the entanglement of education with time. Namely, the embodied-lived present is always inferior compared to the hypothetical ideal future. Education and its promise hence carry the seed of inevitable disenchantment. This problem is examined based on two…

This study investigated the effect the number of observed variables (p) has on three structural equation modeling indices: the comparative fit index (CFI), the Tucker--Lewis index (TLI), and the root mean square error of approximation (RMSEA). The behaviors of the population fit indices and their sample estimates were compared under various…

This paper presents an authoring tool in the cMOOC context called MOOCAT (MOOC Authoring Tool). It is a visual authoring tool that helps teachers to design cMOOC-oriented pedagogical scenarios. MOOCAT has two main innovative features. The first is that it offers a tool for conceiving pedagogical scenarios in a simple way through graphical…

A topic that has recently gained widespread attention in social work education is service user involvement (SUI), a term denoting the call to include users of social work services in teaching social work students. Despite the widespread use of the term SUI, this label includes a wide variety of approaches with different aims and scopes. A…

Young and Holsteen (YH) introduce a number of tools for evaluating model uncertainty. In so doing, they are careful to differentiate their method from existing forms of model averaging. The fundamental difference lies in the way in which the underlying estimates are weighted. Whereas standard approaches to model averaging assign higher weight to…

We describe an approach to characterizing and diagnosing complex professional competencies (CPCs) for the field of Intrapreneurship, i.e. activities of an entrepreneurial nature engaged by employees within their existing organizations. Our approach draws upon prior conceptual, empirical, and analytical efforts by researchers in Germany. Results…

Selecting an appropriate cognitive diagnostic model (CDM) for data analysis is always challenging. Studies have explored several model fit indices for CDMs. The common results of these studies indicate that Q-matrix misspecifications lead to poor performance of the model fit indices in the context of CDMs. Thus, this study explored whether model…

Cognitive modelling shares many features with statistical modelling, making it seem trivial to borrow from the practices of robust Bayesian statistics to protect the practice of robust cognitive modelling. We take one aspect of statistical workflow--prior predictive checks--and explore how they might be applied to a cognitive modelling task. We…

Understanding how to successfully train storytime providers is crucial to the goal of offering high-quality early literacy programs in public library settings. As part of a larger study, nine early-career public library storytime providers were interviewed to learn what contextual factors are important to improve their knowledge, practice, and…