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This study aims to support researchers and practitioners in finding suitable instruments for future research studies and organizational quality assessments.

Employees’ success of learning at work is strongly influenced by the quality of the workplace learning environment. In the recent decades growing effort has been given to the development of surveys to measure the quality of workplace learning, resulting in a large number of available survey instruments. This study conceptually draws on a 3-P model and uses a qualitative metasynthesis to collect and categorize n = 94 surveys that intend to measure the quality of workplace learning (WPL).

The results underline that research on WPL environments is a highly interdisciplinary endeavor, where every discipline enriches the field by a new perspective and own foci. Overall, this study finds a focus on learning culture and working conditions, on social and functional inclusion of the learner and on support and feedback during training. Products of WPL such as professional competences or career aspirations play a minor role.

With the integration of quality measurement instruments from various research studies, this study produces an interactive online instrument map that gives a broad, yet organized overview of available quality measures in the WPL field.

The purpose of this paper is to enhance consistent partial least squares (PLSc) to yield consistent parameter estimates for population models whose indicator blocks contain a subset of correlated measurement errors.

Correction for attenuation as originally applied by PLSc is modified to include a priori assumptions on the structure of the measurement error correlations within blocks of indicators. To assess the efficacy of the modification, a Monte Carlo simulation is conducted.

In the presence of population measurement error correlation, estimated parameter bias is generally small for original and modified PLSc, with the latter outperforming the former for large sample sizes. In terms of the root mean squared error, the results are virtually identical for both original and modified PLSc. Only for relatively large sample sizes, high population measurement error correlation, and low population composite reliability are the increased standard errors associated with the modification outweighed by a smaller bias. These findings are regarded as initial evidence that original PLSc is comparatively robust with respect to misspecification of the structure of measurement error correlations within blocks of indicators.

Introducing and investigating a new approach to address measurement error correlation within blocks of indicators in PLSc, this paper contributes to the ongoing development and assessment of recent advancements in partial least squares path modeling.

The purpose of this paper is twofold: to develop the college-attendance value scale (CAVS) in the Taiwan context to understand undergraduates’ reasons for or benefits from college education, and to examine how the value relates to additional motivational goals, academic performance, and expected terminal degree.

Data analyses involved sophomores (n=729) who completed a learning-experience survey that included CAVS of the personal value and collective value subscales, expected terminal degree, Achievement Goal Questionnaire, and cumulative grade point average (CGPA). Construct validity evidence was substantiated by the results of exploratory factor analysis (n=364) for two-factor identification, and by the results of confirmatory factor analysis (n=365) for a good model-fit.

The interrelations between variables in regression analysis supported the predictive validity; achievement goals were predictors of CGPA, while personal value was a sole predictor of expected terminal degree. Findings suggest that CAVS is a predictive measure for Taiwanese undergraduates’ academic performance and choices.

In terms of policy implications, college students’ values of college attendance should not only be regularly investigated by institutional research, but should be widely applied by university students, educators and administrators to facilitate the optimal learning development for each undergraduate.

The study develops a short but effective scale of college-attendance value for the Taiwanese students who usually attend college after graduating from high school. The CAVS is useful in manifesting the students’ major reasons for pursuing college education.

This study aims to focus on providing a computerized classification testing (CCT) system that can easily be embedded as a self-assessment feature into the existing legacy environment of a higher education institution, empowering students with self-assessments to monitor their learning progress and following strict data protection regulations. The purpose of this study is to investigate the use of two different versions (without dashboard vs with dashboard) of the CCT system during the course of a semester; to examine changes in the intended use and perceived usefulness of two different versions (without dashboard vs with dashboard) of the CCT system; and to compare the self-reported confidence levels of two different versions (without dashboard vs with dashboard) of the CCT system.

A total of N = 194 students from a higher education institution in the area of economic and business education participated in the study. The participants were provided access to the CCT system as an opportunity to self-assess their domain knowledge in five areas throughout the semester. An algorithm was implemented to classify learners into master and nonmaster. A total of nine metrics were implemented for classifying the performance of learners. Instruments for collecting co-variates included the study interest questionnaire (Cronbach’s a = 0. 90), the achievement motivation inventory (Cronbach’s a = 0. 94), measures focusing on perceived usefulness and demographic data.

The findings indicate that the students used the CCT system intensively throughout the semester. Students in a cohort with a dashboard available interacted more with the CCT system than students in a cohort without a dashboard. Further, findings showed that students with a dashboard available reported significantly higher confidence levels in the CCT system than participants without a dashboard.

The design of digitally supported learning environments requires valid formative (self-)assessment data to better support the current needs of the learner. While the findings of the current study are limited concerning one study cohort and a limited number of self-assessment areas, the CCT system is being further developed for seamless integration of self-assessment and related feedback to further reveal unforeseen opportunities for future student cohorts.

Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.

The current paper aims to analyse the antecedents of leader–member exchange relationships (LMX) by specifically focusing on the influence of the supervisor’s feedback delivery tactic.

This study uses qualitative research methods with primary interviews as the main data source. Primary interviews with 40 managers from top supermarkets in Nigeria, South Africa and the UK were undertaken.

The authors found that both high-quality positive feedback and constructive criticisms produced the same feelings – more positive interpersonal relationships with their supervisors, higher levels of commitment to their organisations, higher job satisfaction and thus, high-quality LMX relationships. Where criticisms were delivered without greater interpersonal treatment, feedback was perceived as negative, and participants revealed lack of job satisfaction, lack of commitment to their organisations, poor interpersonal relationship with their supervisors, high turnover intent and thus low-quality LMX relationship.

To the best of the authors’ knowledge, the current paper is one of the first studies to highlight the consequences of different feedback delivery tactics on subsequent LMX quality particularly in African context. The authors specifically develop a process-based model of enhancing high-quality LMX, which shows the role of the supervisor’s feedback delivery tactic in the process. The authors also develop a process-based model that illustrates how negative/unconstructive feedback could result in a low-quality LMX. Finally, to the best of the authors’ knowledge, this paper is also one of the first to offer a comparative assessment between African and British (the UK) empirical settings and highlight some interesting dynamics concerning LMX quality and role of supervisor’s feedback delivery tactic.

The purpose of this paper is to explore effects of an intervention designed for teachers' learning. This study investigates the effectiveness of a three-session professional development (PD) program based on the lesson study methodology. Lesson study was chosen as an intervention, attempting to strengthen teachers' awareness of and readiness to teach for student diversity.

This study included 26 participants. The teachers took part in lesson study cycles during a period of four months. Effectiveness was measured using a pre-test/post-test within-subject design. The broad concept of inclusion and the characteristics of the research questions in this study demanded a mix of methods, a design in which qualitative and quantitative data are collected in parallel, analyzed separately and then merged.

Results show an increase of teachers' readiness from baseline to post measurement to adjust the learning environment for increased inclusivity. The largest increase (88%) was seen in the themes in teachers' responses regarding accommodations for a student with special needs. Regarding self-perceived ability, the average increase was 50%. Results show significant changes in teachers' adjustment awareness ability.

This study contributes to educational research, as the focus is PD for general teachers. PD opportunities with teaching strategies related to special needs (e.g. neurodevelopmental conditions, NDCs) are seldom offered to general education teachers. Support from teachers is a key strategy for accommodating students with special needs in mainstream classrooms. Furthermore, there is a lack of literature of interventions aiming to improve teachers' readiness and preparedness for students with NDCs in mainstream settings.