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The purpose of this paper is to propose a novel improved teaching and learning-based algorithm (TLBO) to enhance its convergence ability and solution accuracy, making it more suitable for solving large-scale optimization issues.

Utilizing multiple cooperation mechanisms in teaching and learning processes, an improved TBLO named CTLBO (collectivism teaching-learning-based optimization) is developed. This algorithm introduces a new preparation phase before the teaching and learning phases and applies multiple teacher–learner cooperation strategies in teaching and learning processes. Applying modularization idea, based on the configuration structure of operators of CTLBO, six variants of CTLBO are constructed. For identifying the best configuration, 30 general benchmark functions are tested. Then, three experiments using CEC2020 (2020 IEEE Conference on Evolutionary Computation)-constrained optimization problems are conducted to compare CTLBO with other algorithms. At last, a large-scale industrial engineering problem is taken as the application case.

Experiment with 30 general unconstrained benchmark functions indicates that CTLBO-c is the best configuration of all variants of CTLBO. Three experiments using CEC2020-constrained optimization problems show that CTLBO is one powerful algorithm for solving large-scale constrained optimization problems. The application case of industrial engineering problem shows that CTLBO and its variant CTLBO-c can effectively solve the large-scale real problem, while the accuracies of TLBO and other meta-heuristic algorithm are far lower than CLTBO and CTLBO-c, revealing that CTLBO and its variants can far outperform other algorithms. CTLBO is an excellent algorithm for solving large-scale complex optimization issues.

The innovation of this paper lies in the improvement strategies in changing the original TLBO with two-phase teaching–learning mechanism to a new algorithm CTLBO with three-phase multiple cooperation teaching–learning mechanism, self-learning mechanism in teaching and group teaching mechanism. CTLBO has important application value in solving large-scale optimization problems.

Teaching and unit evaluations surveys are used to assess the quality of teaching and the quality of the unit of study. An analysis of teaching and unit evaluation survey practices in Australian universities suggests significant changes. One key change discussed in the paper is the shift from voluntary to mandatory use of surveys with the results used to assess and reward academic staff performance. The change in the direction is largely driven by the introduction of performance‐based funding as part of quality assurance arrangements. The paper aims to outline the current trends and changes and the implications in the future such as increased scrutiny of teaching and intrusion to academic autonomy.

The paper is based on the analysis of current teaching and unit evaluation practices across the Australian university sector. The paper presents the case of an Australian university that has introduced performance‐based reward using various measures to assess and reward academic staff such as the outcome of student satisfaction surveys. The analysis of external quality audit findings related to teacher and unit evaluations is also presented.

The findings suggest a shift in trend from the use of voluntary to mandatory tools to assess and reward quality teaching. The case of an Australian university outlined in the paper and the approach taken by seven other universities is largely driven by performance‐based funding. One of the key concerns for many in higher education is the intrusion of academic autonomy with increased focus on outcomes and less emphasis on resources needed to produce excellence in learning and teaching and research. The increased reliance on student happiness as a measure of educational quality raises the questions on whether high student satisfaction would strengthen academic rigour and student attainment of learning outcomes and generic skills which are seen as key factors in graduate exit standards.

The renewal of quality assurance and performance‐based funding using student satisfaction as a measure of educational quality will result in increased use of student voice to assess learning and teaching outcomes. Such direction will increase the accountability on academics to improve student experience and the measures will be used to assess academic staff performance.

The paper outlines the trends and changes in the teacher and unit evaluations in Australian universities and its implications in the future. The paper also provides a case of an Australian university that has recently made teacher and unit evaluations compulsory with the results used in academic staff annual performance review and linking reward with performance outcomes.

The purpose of this paper is to present results from three years of a longitudinal “Assessment Attitudes and Practices” survey collected from a large school district in the Southern USA.

This paper focuses on both formative and summative “assessment practices” results from secondary (middle and high school) social studies teachers.

There was no statistically significant difference between secondary social studies teachers’ use of assessments and secondary teachers of other disciplines, nor was there a statistically significant difference in assessment use by year. Data results by assessment type were ranked in order of how often teachers claimed to use various assessment practices, and discussed in terms of assessment practices recommended by NCSS. Social studies teachers in this study were often more likely to report use of assessments of knowledge (including selected-response items) than performance-based assessment techniques (such as authentic assessments).

The lack of statistically significant differences in assessment practices along disciplinary lines indicates homogeneity in the use of assessments that does not do justice to social studies.

Using Common Core standards or not, having a 1:1 technological environment or not, teacher respondents essentially reported using the same assessments, perhaps because high-stakes assessments did not change.

There is a need for professional development that helps teachers see how performance-based assessments can be used to boost student performance on high-stakes assessments.

Studies of actual assessment practices (as opposed to ideas about how teachers should assess) are still quite rare, and provide a helpful window in understanding what is actually happening inside schools.

In this paper, we review the literature on pay variation (e.g., pay dispersion, pay compression, pay range) in organizations. Pay variation research has increased markedly in the past two decades and much progress has been made in terms of understanding its consequences for individual, team, and organizational outcomes. Our review of this research exposes several levels-related assumptions that have limited theoretical and empirical progress. We isolate the issues that deserve attention, develop an illustrative multilevel model, and offer a number of testable propositions to guide future research on pay structures.

Australian universities have a rich history for enabling, promoting and evaluating innovation and excellence in learning and teaching. Universities have used this practice to respond to drivers from government and the changing global educational environment, as well as accommodating for the characteristics of Australian universities such as scale, equity of access and the balance of domestic and international students. Often through institutional collaborations, educators have challenged pedagogical practices and introduced and tested innovative ways to enhance student learning, which has contributed to an international reputation for quality learning and teaching. However, the recent removal of specific government funding to support innovation, the increased emphasis on student success and employability outcomes and the threat of performance-based funding means that Australian universities will need to commit to the ongoing development of learning and teaching and demonstrate the potential for learning gain.

Uses longitudinal data from the NLSY79 to examine the effect of a broad variety of performance‐based pay schemes and fringe benefits on male and female wages between 1988 and 1998. Specifically, analyzes whether the offer of various performance‐based pay schemes and fringe benefits functions as an alternative work incentive, eliciting greater effort and raising wages or, instead, it is accompanied by lower wages, as predicted by compensating wage theory. The results indicate that, while most performance‐based pay schemes are associated with higher wages to differing extents across gender, tips are commonly accompanied by lower wages among men. Similarly, while the offer of a retirement plan appears to as a work incentive raising male and female wages, workers are willing to trade wages for jobs offering life and medical insurance.

By 2006, the National Board for Professional Teaching Standards had offered advanced certification to 50,000 accomplished teachers using performance-based assessments of their teaching knowledge and practice (about 2% of the US teaching force). However, the Board has had much greater impact than the initial numbers of certified teachers suggested. As the first professional effort to define accomplished teaching, it has also had an enormous influence on standard-setting for beginning teacher licensing, teacher education programs, teacher assessment, on-the-job evaluation, and professional development for teachers throughout the United States. This chapter describes some of the results of the Board's work, evaluates its impact, and discusses issues that it raises for the future of teaching and the nature of the teaching career.

Universities globally have faced the introduction of research performance assessment systems that provide monetary and ranking rewards based on publication outputs. This study aims to seek an understanding of the implementation of performance-based research funding (PBRF) and its impact on the heads of departments (HoDs) and accounting academics in New Zealand (NZ) tertiary institutions. The study explores NZ accounting academics’ experiences and their workload; the relationship between teaching and research in the accounting discipline and any issues and concerns affecting new and emerging accounting researchers because of PBRF.

Applying an institutional theoretical lens, this paper explores accounting HoDs’ perceptions concerning the PBRF system’s impact on their academic staff. The research used semi-structured interviews to collect data from NZ’s eight universities.

The key findings posit that many institutional processes, some more coercive in nature, whereas others were normative and mimetic, have been put in place to ensure that academics are able to meet the PBRF requirements. HoDs suggest that their staff understand the importance of research, but that PBRF is a challenge to new and emerging researchers and pose threats to their recruitment. New academics must “hit the ground running” as they must demonstrate not only teaching abilities but also already have a track record of research publications; all in all, a daunting experience for new academics to overcome. There is also a teaching and research disconnect. Furthermore, many areas where improvements can be made in the design of this measurement tool remain.

The PBRF system has significantly impacted on accounting academics. Central university research systems were established that subsequently applied coercive institutional pressures onto line managers to ensure that their staff performed. This finding offers scope for future research to explore a better PBRF that measures and rewards research productivity but without the current system’s unintended negative consequences.

L. Dee Fink proposes that different and more significant kinds of learning should be created in higher education to transition student outcomes from simply “learning” to “significant learning,” and these new types of learning should be situated within significant learning experiences (Fink, 2003). Fink also identified a taxonomy of significant learning that included six components: integration, foundational knowledge, application, human dimension, caring, and learning how to learn. Using Fink’s Taxonomy of Significant Learning as a framework, the authors will share the development of a course on navigating the US Healthcare System that resulted in significant learning outcomes for students completing the first semester of a four-year Doctor of Pharmacy curriculum. Each learning experience will link to a component of the taxonomy and will serve as the mechanism for the authors to share the development and implementation associated with each aspect of the semester-long course. The assessment structure of the course is described in detail. The authors present one or more learning experiences to illustrate each component of Fink’s Taxonomy. Finally, lessons learned from the development and implementation of the course are presented to guide programs considering implementation of a similar significant learning experience.

This paper examines how administrators in two very different Florida state agencies implemented performance-based program budgeting. It identifies the key organizational conditions that facilitate and inhibit implemen-tation and propose implications for generalizing these observations to other settings. The study concludes that agency variables make implementation much more difficult in some settings and that a one-size-fits-all approach may contribute to a variety of delays and conflicts in the implementation process.