The considerable proliferation of serious games (SG) in management education necessitates an academic foundation grounded in the concepts and practice of leadership, Flow, learning and development theory. Going beyond addressing the benefits of SG, this study is the first to demonstrate the successful use of SG in two areas: (a) teaching Flow…

Purpose: The present study examined the psychometric properties of the EGame-flow scale in a Mexican sample, presenting evidence of construct validity (exploratory factor analysis and confirmatory factor analysis), reliability (Cronbach's alpha and McDonald's omega) and discriminant validity (mean variance extracted). Design/methodology/approach:…

Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…

Empirical growth benchmarks, as introduced by Hill, Bloom, Black, and Lipsey (2008), are a well-known way to contextualize effect sizes in education research. Past work on these benchmarks, both positive and negative, has largely avoided confronting the role of vertical scales, yet technical issues with vertical scales trouble the use of such…

Background: As educational institutions increasingly operate as multicultural hubs, leaders must navigate the complexities of cultural differences, language barriers and diverse learning styles in digital environments. These challenges are amplified by the lack of non-verbal cues and the asynchronous nature of online communication, which can lead…

Simulation studies are fundamental to psychometric discourse and play a crucial role in operational and academic research. Yet, resources for psychometricians interested in conducting simulations are scarce. This Instructional Topics in Educational Measurement Series (ITEMS) module is meant to address this deficiency by providing a comprehensive…

The psychological effects of information technology (IT) use have been widely reported and assessed in the literature. However, although concerns are growing regarding the potential physiological impacts of IT use on the health of IT users, assessment of this issue is currently hampered by the lack of an appropriate information-system (IS)…

The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…

Purpose: The aim of the study was to examine the precision of forced-choice (closed-set) and open-ended (open-set) word recognition (WR) tasks for identifying a change in hearing. Method: WR performance for closed-set (4 and 6 choices) and open-set tasks was obtained from 70 listeners with normal hearing. Speech recognition was degraded by…

In general, newer educational assessments are deemed more demanding challenges than students are currently prepared to face. Two types of factors may contribute to the test scores: (1) factors or dimensions that are of primary interest to the construct or test domain; and, (2) factors or dimensions that are irrelevant to the construct, causing…

This study was the fourth study (Study 4) of four consecutive cohort studies (2007/2008, 2008/2009, 2009/2010 and 2010/2011) of over 520 dental undergraduate first year students at King's College London as part of their 5-year undergraduate programme. The study reported in this paper is a 2-year longitudinal investigation of 140 first year…

We are moving toward a future in which digital practices are becoming more ubiquitous. Also, there is evidence to suggest that innovative digital practices are changing the face of 21st-century learning environments. Critical to 21st-century teaching and learning success is continued emphasis on learner preferences, shaped by innovative digital…

Though calibration of an achievement test within psychological and educational context is very often carried out by the Rasch model, data sampling is hardly designed according to statistical foundations. However, Kubinger, Rasch, and Yanagida (2009) recently suggested an approach for the determination of sample size according to a given Type I and…

This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…

In contexts other than immersive virtual environments, theoretical and empirical work has identified flow experience as a major factor in learning and human-computer interaction. Flow is defined as a "holistic sensation that people feel when they act with total involvement". We applied the concept of flow to modeling the experience of…