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This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved forecasting of conflict.

In this paper statistical learning methods are used to create new country clusters that are then used in a comparative analysis of model-based conflict prediction.

In this study a reorganization of the countries assigned to specific areas of responsibility are shown to provide improvements in the ability of models to predict conflict.

The study is based on actual historical data and is purely data driven.

The study demonstrates the utility of the analytical methodology but carries not implementation recommendations.

This is the first study to use the statistical methods employed to not only investigate the re-clustering of countries but more importantly the impact of that change on analytical predictions.

This paper proposes a heuristic, data-driven approach to the rapid performance evaluation of periodic maintenance on complex production plants. Through grouping, maintenance interval (MI)-based evaluation and performance assessment, potential nonvalue-adding maintenance elements can be identified in the current maintenance structure. The framework reduces management complexity and supports the decision-making process for further maintenance improvement.

The evaluation framework follows a prescriptive research approach. The framework is structured in three steps, which are further illustrated in the case study. The case study utilizes real-life data to verify the feasibility and effectiveness of the proposed framework.

Through a case study conducted on 9,538 pieces of equipment from eight offshore oil and gas production platforms, the results show considerable potential for maintenance performance improvement, including up to a 23% reduction in periodic maintenance hours.

The problem of performance evaluation under limited data availability has barely been addressed in the literature on the plant level. The proposed framework aims to provide a quantitative approach to reducing the structural complexity of the periodic maintenance evaluation process and can help maintenance professionals prioritize the focus on maintenance improvement among current strategies.

The proposed framework is especially suitable for initial performance assessment in systems with a complex structure, limited maintenance records and imperfect data, as it reduces management complexity and supports the decision-making process for further maintenance improvement. A similar application has not been identified in the literature.

The purpose of this two-part research was to investigate the effect of remote learning on student progress in elementary education. Part 2, presented in this paper, is a follow-up study to examine how student progression in the two pandemic-induced environments compared to the pre-pandemic conditions.

The authors expanded the quantitative, quasi-experimental factorial design of the authors' initial study with additional ex-post-facto standardized test score data from before the pandemic to enhance the group comparison with a control: the conventional pre-pandemic classroom environment. Thus, the authors were able to examine in which ways the two pandemic-induced learning environments (remote and hybrid) may have affected learner progress in the two subject areas: English Language (ELA) and Math. Additionally, the authors provided a grade-by-grade breakdown of analysis results.

Findings revealed significant group differences in grade levels at or below 6th grade. In the majority of analyzed comparisons, learner achievement in the hybrid group was significantly lower than those in either the remote or the classroom group, or both.

The additional findings further supported the authors' initial hypotheses: Differences in the consistency and continuity of educational approaches, as well as potential differences in learner predispositions and the availability of home support systems may have influenced observed results. Thus, this research also contributes to the general knowledge about learner needs in elementary education.

During the pandemic, remote learning became ubiquitous. However, in contrast to e-learning in postsecondary education, for which an abundance of research has been conducted, relatively little is known about the efficacy of such approaches in elementary education.

The study seeks to understand what teachers know about students’ friend networks and how they use that information for instruction.

This qualitative study relied on interviews and sociograms that teachers drew of students’ friend networks.

Our data suggest that teachers’ awareness of their students’ friend networks varies by their experience and their exposure to students. Also, their use of this information for instruction coalesces around dimensions of grouping and social support.

This study took place at one school. To more deeply understand what teachers perceive about their students’ friend networks and how they use that information for instruction, more studies could be done with teachers in more schools.

Implications might suggest developing teachers’ social competence to support their students’ learning and development.

While studies cited in this paper have explored teachers’ knowledge of students’ social networks, this study builds on this work by exploring how that information can be useful for instruction. In addition, this study explores the use of teachers drawing sociograms as representations of what they know about students’ friend networks.

The purpose of this paper is to explore how actors subjected to public performance evaluations may “contest commensuration,” i.e. may seek to influence how such ratings and rankings will be construed among important stakeholders.

A qualitative study of press releases, and interviews with department heads, is used as a basis for the analysis.

The empirically derived taxonomy of public responses to a state-initiated performance evaluation of educational programs shows that actors may mobilize an array of commensuration management tactics so as to maintain or improve one’s relative positional status. Such tactics may have at least three different foci, namely, on the comparison object (i.e. on the new grouping of actors), the comparison dimension (i.e. the standardized format for comparison) and the comparison rate (i.e. the rate received), respectively. The authors also find that not only are threats to positional status likely to spur commensuration management tactics, but also the opportunity to exploit a good rate.

The paper augments recent research that has problematized the so-called “reactive conformance thesis” by focusing on how evaluated organizations may directly try to influence external stakeholders through public responses. The study is also one of the first that analytically disentangles how they may skillfully exploit different forms of “plasticity” that are inherent in any type of commensuration.

Measuring internal response of online learning is seen as fundamental to absorptive capacity which stimulates knowledge assimilation. However, the evaluation of practice and research of validated instruments that could effectively measure online learning response behavior is limited. Thus, in this study, a new instrument was designed based on literature to determine the structural variables that exist in the online learning response behavior.

A structured survey was designed and distributed to 410 Malaysian students enrolled in higher-education institutions. The questionnaire has 38 items, all of which were scored using a seven-point likert scale. To begin with, exploratory factor analysis with three types of extraction methods (i.e. principal component, principal axis factoring and maximum likelihood) was used as the method for comparing the outcomes of each extraction method's grouping variables by constantly using a varimax rotation method. In the second phase, reliability analysis was performed to determine the reliability level of the grouping variables, and finally, correlation analysis was performed to determine the discriminant nomological validity of the grouping variables.

The findings revealed that nine grouping variables were retrieved, with all items having a good value of factor loading and communalities, as well as an adequate degree of reliability. These extracted variables have good discriminant and nomological validity, as evidenced by correlation analysis, which confirmed that the directions of relationships among the extracted dimensions follow the expected theory (i.e. positive direction) and the correlation coefficient is less than 0.70.

This study proposes a comprehensive set of questionnaires that measure the student's online learning response behavior. These questionnaires have been developed on the basis of an extensive literature review and have undergone a rigorous process of validity and reliability for the purpose of enhancing students' online learning response behavior.

This study's findings will aid academic practitioners in assessing the online learning response behavior of students, as well as enhancing the questionnaire's boost factor when administered in an online learning environment.

This paper presents a viewpoint that considers the construction of ‘expertise’ as an impediment to successfully using cross-functional expertise in the organization. The construction of expertise forms a bounded perspective that creates hidden impediments to success that culminate in organizational underachievement.

Experiential knowledge of the authors that incorporated 20 years of organizational management experience and extensive practice of hiring experts to progress organizational learning, knowledge, and development is the primary basis of this work.

A common misperception of ‘expertise’ relates to a limiting perspective on what expertise is? Organizations segregate expertise (silo) as a way of increasing functionality and division of labor in an organizational structure. However, organizational underachievement is not due to functional arrangement in the organization’s structure (which is a commonly held belief) rather a byproduct of a bounded perspective necessary to construct expertise.

Organizations who understand that the bounded perspective of expertise is the source constraining use of their acquired expertise gain insight to an actionable opportunity to rectify cross-functional restraints. Core elements are offered to minimize the impact of organizational silofication.

This paper is unique in that it introduces a bounded perspective as the source impeding the use of workplace expertise rather than functional placement.

The purpose of this two-part research was to investigate the effect of remote learning on student progress in elementary education. Part one, presented in this paper, examined achievement differences between learners in a fully remote learning environment and those in a hybrid setting.

A quantitative, quasi-experimental study with factorial design was used to investigate group differences in student achievement between the different learning environments. Ex-post-facto data from standardized test scores were utilized to examine in which ways the learning environment may have affected learner progress in two distinct subject areas crucial to elementary education: English language (ELA) and math.

Findings revealed a significant difference between the two learning environments in both subject areas. While preexisting group differences, selection biases and testing inconsistencies could be effectively ruled out as potential causes for the observed differences, other factors such as developmental and environmental differences between the learning environments seemed to be influential. Therefore, the follow-on research aimed at further investigating and confirming the influence of such factors and will be presented in a Part 2 paper.

Knowledge of the observed differences in learning achievements between the different environments, as well as the factors likely causing them, may aid educators and school administrators in their decision processes when faced with difficult circumstances such as during the pandemic.

When the SARS-CoV-2 virus started to rapidly spread around the globe, educators across the world were looking for alternatives to classroom instruction. Remote learning became an essential tool. However, in contrast to e-learning in postsecondary education, for which an abundance of research has been conducted, relatively little is known about the efficacy of such approaches in elementary education. Lacking this type of information, it seems that educators and administrators are facing difficult decisions when trying to align the often conflicting demands of public health, local politics and parent pressure with what may be best for student learning.

Group reporting, a form of cooperative learning, is a learning tool often employed in residential teaching to facilitate quality learning. Like other cooperative learning methods, it enhances learning in classrooms by allowing students work on activities in small groups to receive rewards based on their group’s performance. However, though group reporting is often done in face-to-face settings, few up-to-date literature has shown its application in online learning. Moreover, the question as to whether online cooperative learning through group reports yields positive or negative response from students has to be studied further. The paper aims to discuss these issues.

This study focuses on the students’ response to the group reporting activity carried throughout one semester. A course offered by the University of the Philippines Open University on database management systems made use of group reporting to add to the students’ learning experience. Group meetings along with regular online lectures were carried out during the first half of the semester. The output group reports were then presented during the second half and served as the main resource for those weeks’ study modules. An online survey with Likert scales drawing out the student reactions on the learning activity impact was administered to volunteer respondents at the end of classes.

In total, 71.9 percent of 32 respondents observed changes in their behavior after using peer and cooperative learning technologies. The respondents also indicated that they enjoyed the group reporting activity (14 agreeing strongly, 14 agreeing moderately). They also indicated that they were motivated to learn the course through the group reports (8 agreeing strongly, 14 agreeing moderately). However, when asked if they preferred to have all the modules in group report format 9 agreed moderately, 8 disagreed moderately, 7 disagreed strongly, 4 agreed strongly, and 4 neither agreed nor disagreed. Still, overall, online cooperative learning facilitated quality learning based on this study’s results.

This study contributes to the body of knowledge by showing how group reporting can be applied online and how students have responded to it. The study also provides recommendations on how to conduct online cooperative learning in order to enhance the quality of courses, with implications for further research to look into variations with respect to the technology used for reporting and its suitability to a given course.

This paper is motivated by the need to assess the risk profiles associated with the substantial number of items within military supply chains. The scale of supply chain management processes creates difficulties in both the complexity of the analysis and in performing risk assessments that are based on the manual (human analyst) assessment methods. Thus, analysts require methods that can be automated and that can incorporate on-going operational data on a regular basis.

The approach taken to address the identification of supply chain risk within an operational setting is based on aspects of multiobjective decision analysis (MODA). The approach constructs a risk and importance index for supply chain elements based on operational data. These indices are commensurate in value, leading to interpretable measures for decision-making.

Risk and importance indices were developed for the analysis of items within an example supply chain. Using the data on items, individual MODA models were formed and demonstrated using a prototype tool.

To better prepare risk mitigation strategies, analysts require the ability to identify potential sources of risk, especially in times of disruption such as natural disasters.