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This paper aims to investigate small-scale, qualitative observations of interviewer–respondent interaction in the Organisation for Economic Co-operation and Development’s Programme for the International Assessment of Adult Competencies (PIAAC).

The paper uses video-ethnographic methods to document talk and gesture in assessment in Slovenian household settings. It presents an in-depth case study of interaction in a single testing situation.

Observing interaction in assessment captures data on assessment performance that is not available in quantitative analysis of assessment response processes. The character of interviewer–respondent interaction and rapport is shaped by the cognitive demands of assessment and the distinctive ecological setting of the household.

Observational data on assessment response processes and interaction in real-life assessments can be integrated into and synthesized with other sources of “process data”.

Assessment programs such as PIAAC should consider the significance of the household setting on assessment quality and observations of interaction in assessment as a valid source of paradata.

There is a place for small-scale observational studies of assessment to inform public understanding of assessment quality and validity.

The paper provides qualitative insights into the significance of interaction and “interviewer effects” in household assessment settings.

The purpose of this study is to generate knowledge about assessment methods in blended business education, which have become increasingly important to establish sustainable assessment practices that support knowledge acquisition for undergraduate students in business administration at a Colombian university.

For the analysis, a two groups comparison was performed using a nonequivalent control group design with a sample of 420 students. As this study wants to find insights to improve the knowledge on assessment topics in marketing research (MR) education, it was focused on the students from the business administration program. This study also uses individual scores from the state test as prior cognitive scores and the high school classification provided by the National Ministry of Education in Colombia (2012).

It was found that the variables that best predict performance on the MR course examinations were the mathematics skills and reading comprehension scores on the state test. The study also showed a better performance of female students on both assessment methods. There were no significant differences between the assessment methods or among the high school levels.

One of the limitations of this study is the limited number of items on the tests. Additionally, the authors recommend conducting an analysis of the differences between the testing items to provide a detailed explanation of students’ performance when comparing computer-based testing and paper-and-pencil testing.

Further design of teaching material and assessments online and offline, based on local and regional marketing problems, is suggested. As the current text and readings are more oriented to the English-speaking contexts, most of the problems presented are oriented to multinational companies and brands.

Insights into the skills required for future jobs provide valuable guidance (World Economic Forum, 2020). Essential skills for emerging roles, like data scientists, can find robust support within the MR course. To further enrich in-class and online exercises with Excel and SPSS, Colombian educators can leverage data sets obtained from sources like the national statistics office and international market intelligence databases available through the university’s library, including Passport and Statista. Engaging with authentic data sets provides students with a more profound understanding of practical applications in MR.

This approach facilitates the identification of key variables, such as assessment and cognitive abilities in math and reading, which predict students’ knowledge acquisition in MR. It not only offers insights into the relevant factors influencing learning in MR but also provides valuable feedback. Additionally, it suggests potential avenues for future research in this field.

Organizations try to appoint individuals who fit in with their values and goals. Employees who do not fit in with the organization's core values and goals prefer not to stay on for a longer period of time. The present study is an attempt to explore the impact of person–job (P–J) fit on organizational commitment through job involvement and career commitment with an application of a serial multiple mediation model.

Data have been collected through a structured questionnaire. The population comprised the teachers, working in the higher education sector. The different constructs used have been duly validated with the help of exploratory and confirmatory factor analyses. Further data reliability and scale validity have been checked too. In order to test the serial multiple mediation model, the authors adopted a regression-based approach and bootstrapping method suggested by Hayes (2012; 2013). Accordingly, PROCESS developed by Hayes (2012) has been used.

The results revealed that job involvement and career commitment mediate the relationship between P–J fit and organizational commitment individually as well as together.

The present study is confined to government degree colleges only. The element of subjectivity might not have been checked completely as teachers have responded on the basis of their own experience and perceptions regarding the items in the questionnaire. The study is cross sectional in nature.

The paper addresses the interest of wide spectrum of stakeholders including the management, organizations and employees. So, the authors have extended general implications, which are for all those organizations that want to improve person–organization (P–O) fit and commitment of their employees. These implications will help organizations to take specific initiatives to improve the P–J fit of their employees, which will subsequently enhance their commitment level.

The findings of the present study will help the stakeholders in the higher education sector to identify best employees and undertake the initiatives to generate better job involvement and commitment, which will be a win–win strategy for both (employees as well as the organizations).

In the light of the acceleration in the international and local information and knowledge revolution, the University of Stellenbosch (US) has introduced an e‐learning strategy to gain maximum benefit from the developments in information technology. In support of this strategy, the US has implemented WebCT as an electronic course management system. Subsequent consultations have revealed doubt among accounting lecturers and students about the effectiveness of WebCT assessment of tests in Financial Accounting. The purpose of the study was therefore to investigate this perception on the basis of the available literature, our own experience, categories of student learning and feedback from students. The WebCT assessment function was also contrasted with traditional assessment methods. It was concluded that although WebCT is not a quick fix, it could be implemented successfully in bigger classes, provided that innovative lecturers are responsible for these classes.

To date, the vast majority of existing research on unethical leadership has focused on top leaders’ actions and behaviors as the primary catalyst for the permeation of unethical behaviors in organizations. In this chapter, we shift the focus to middle and junior managers and argue that they too have an active role in contributing to the permeation of top-level unethical leadership. More specifically, we adopt a meaning-making lens to investigate how junior and middle-level managers perceive and interpret top-level unethical leadership and how such meaning-making affects their (un)ethical legitimacy. Understanding the role played by lower-level managers becomes vitally important to develop a more holistic picture of the permeation of unethical leadership. Findings from 30 in-depth interviews with top, middle, and junior managers reveal variables such as survival, group membership, and strain as buttressing meaning-making by lower-level managers. Findings also revealed two contrasting aspects, that is, “interactions” within organizational members as well as “silence” by top-level managers playing into individuals’ information processing and attribution capacities during ethical dilemmas. Real cases experienced by participants pertaining to the flow of unethical leadership illustrate how the central bearings play out in managerial practice.

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.

Computer applications in education have generally either (1) streamlined some existing routine operation such as payroll or scheduling or (2) attempted some very sophisticated modeling of, for example, learning processes or cost functions for an institution. None of these applications has made a noticeable impact on the practices or the management of education. The proper function of the computer is as a filter to suppress irrelevant data and highlight critical data, to make short term projections of trends, to visually display the dynamics of system interactions, and to allow managers and teachers to interact with models of the system (e.g. the student or the school) they are supposed to be in charge of. The paper sketches the outlines of a computerized information system designed to use the strengths of the computer to complement the strengths of the human teacher and manager.