The aim of this paper is to examine valuer judgement behaviour, by exploring the manifestation of task complexity in Dutch commercial valuation practice. For this purpose, we adopted a grounded theory approach and undertook 18 in-depth interviews with senior valuation professionals across the Netherlands. Our findings indicate a strong presence of situational task complexity in commercial valuation practice, as professionals operating in large valuation teams perceive different elements of task complexity throughout commercial valuation practice in comparison to peers working in small valuation teams or self-employed valuers. Further, coping strategies used to deal with task complexity vary substantially by type of valuer as well. From our data, we deducted three types of task environment constructs in which valuers operate, which basically represent the various levels of professional standards required by clients as well as organisational settings composed to meet client standards. As such, we found that task environment settings strongly coincide with perceptions of task complexity. The presence of situational task complexity in commercial real estate valuation practice points to the need for customisation of professional valuer’s development programs to facilitate valuers to deal with task complexity in different stages of valuation practice and hence contribute to advancing valuer judgement skills.
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In this epilogue, I take a teaching practice and teacher education perspective on complexity in Instructed Second Language Acquisition. I take the stance that it is essential to understand if and how linguistic complexity relates to learning challenges, what the implications are for language pedagogy, and how this challenges the role of the teacher. Research shows that differences in task complexity may lead to differences in linguistic complexity in language learners’ speech or writing. Different tasks (e.g. descriptive vs narrative) and different modes (oral vs written) may lead to different types and levels of complexity in language use. On the one hand, this is a challenge for language assessment, as complexity in language performance may be affected by task characteristics. On the other hand, it is an opportunity for language teaching: using a diversity of tasks, modes and text types may evoke and stretch lexically and syntactically complex language use. I maintain that it is essential for teachers to understand that it is at least as important to aim for development in complexity as it is to aim for development in accuracy. Namely, that ‘errors’ in language learning are part of the deal: complex tasks lead to complex language use, including lexical and syntactical errors, but they are a necessary prerequisite for language development.
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University teacher teams can work toward educational change through the process of team learning behavior, which involves sharing and discussing practices to create new knowledge. However, teachers do not routinely engage in learning behavior when working in such teams and it is unclear how leadership support can overcome this problem. Therefore, this study examines when team leadership behavior supports teacher teams in engaging in learning behavior. We studied 52 university teacher teams (281 respondents) involved in educational change, resulting in two key findings. First, analyses of multiple leadership types showed that team learning behavior was best supported by a shared transformational leadership style that challenges the status quo and stimulates team members’ intellect. Mutual transformational encouragement supported team learning more than the vertical leadership source or empowering and initiating structure styles of leadership. Second, moderator analyses revealed that task complexity influenced the relationship between vertical empowering team leadership behavior and team learning behavior. Specifically, this finding suggests that formal team leaders who empower teamwork only affected team learning behavior when their teams perceived that their task was not complex. These findings indicate how team learning behavior can be supported in university teacher teams responsible for working toward educational change. Moreover, these findings are unique because they originate from relating multiple team leadership types to team learning behavior, examining the influence of task complexity, and studying this in an educational setting.
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University teacher teams can work toward educational change through the process of team learning behavior, which involves sharing and discussing practices to create new knowledge. However, teachers do not routinely engage in learning behavior when working in such teams and it is unclear how leadership support can overcome this problem. Therefore, this study examines when team leadership behavior supports teacher teams in engaging in learning behavior. We studied 52 university teacher teams (281 respondents) involved in educational change, resulting in two key findings. First, analyses of multiple leadership types showed that team learning behavior was best supported by a shared transformational leadership style that challenges the status quo and stimulates team members’ intellect. Mutual transformational encouragement supported team learning more than the vertical leadership source or empowering and initiating structure styles of leadership. Second, moderator analyses revealed that task complexity influenced the relationship between vertical empowering team leadership behavior and team learning behavior. Specifically, this finding suggests that formal team leaders who empower teamwork only affected team learning behavior when their teams perceived that their task was not complex. These findings indicate how team learning behavior can be supported in university teacher teams responsible for working toward educational change. Moreover, these findings are unique because they originate from relating multiple team leadership types to team learning behavior, examining the influence of task complexity, and studying this in an educational setting. https://www.scienceguide.nl/2021/06/leren-van-docentteams-vraagt-om-gezamenlijk-leiderschap/
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This article reports on a post hoc study using a randomised controlled trial with 31,842 students in the Netherlands and an instrument consisting of 21 paired problems. The trial showed a variability in the differences of students’ results in solving contextual mathematical problems with either a descriptive or a depictive representation of the problem situation. In this study the relation between this variability and two task characteristics is investigated: (1) complexity of the task representation; and (2) the content domain of the task. We found indications that differences in performance on descriptive and depictive representations of the problem situation are related to the content domain of the problems. One of the tentative conclusions is that for depicted problems in the domain of measurement and geometry the inferential step from representation of the problem situation to the mathematical problem to be solved is smaller than for word problems.
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In the digital age, information problem solving (IPS) competence is essential for professionals to use online information effectively. Despite its importance, starting professionals often struggle with processing and presenting information, which are critical phases during authentic IPS tasks. Therefore, higher education institutions are tasked with preparing students to navigate these complex phases of IPS after graduation. However, most previous studies have focused on the “search” and “select” phases of simple, short-duration IPS tasks, which do not reflect the complex information challenges faced in professional settings. To address this gap, this study aimed to identify and categorize the strategies higher education students currently use to process and present information for a semester-long authentic professional task. A thematic analysis of cued retrospective reporting sessions was conducted with 24 senior students while they created a website for professional practice. Students demonstrated 49 IPS strategies, which were categorized into twelve IPS activities across three generic activity phases: “process,” “synthesize,” and “create.” Within these phases, three patterns of co-occurring strategies were observed: reproductive, arranging, and elaborative. Based on these findings, existing IPS process models were empirically refined. The observed variation in strategies highlights the importance of building on students’ strengths when teaching IPS. Teaching them to adapt the strategies to various authentic task contexts could help enhance students’ IPS competence and strategic flexibility in real-world settings. Future research should explore the applicability of the updated IPS model across different authentic task contexts to refine instructional approaches further.
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from the article : To gain competitive power, product designs and their production means have become more and more complex over the past decennia. Product designers are faced with the increasingly difficult task to guarantee steady behavior of the systems they produce. This requires thorough understanding of the complex principles that determine the behavior of these products. It starts with notion how the many parts, of which the product design consists, are cross-linked with each other and their surroundings. If the design relations act predictable then the product design behaves predictable, and the functional requirements have high certainty of being satisfied. Axiomatic Design offers a number of ways to model the relations in a product design in order to improve its predictability. The ‘information content’ or ‘entropy’ of the design is indicative for the behavior of a system. The information content in Axiomatic Design is in the jurisdiction of the Information Axiom. This chapter investigates if information could be applied in a broader context; to bring the whole of methods in AD under a single heading. According to the definition of information by Shannon and Weaver, a broader application may be applied for Axiomatic Design. Along this path, an alternative framework of different kinds of information is decomposed that can be used to analyze progression in a product design. ‘Useful information,’ proportional to the ‘ignorance of the designer after application of all his knowledge,’ is decomposed into three kinds of information that are applied to graphically monitor the design process as it evolves.
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Market competition and global financial uncertainty have been the principal drivers that impel aviation companies to proceed to budget cuts, including decreases in salary and work force levels, in order to ensure viability and sustainability. Under the concepts of Maslow and Herzberg’s motivation theories, the current paper unfolds the influence of employment cost fluctuations on an aviation organization’s accidents attributed to human error. This study exploited financial and accident data over a period of 13 years, and explored if rates of accidents attributed to human errors of flight, maintenance and ramp crews, correlate with the average employment expenditures (N=13). In addition, the study took into account the relationship between average task load (ratio of flying hours per employee) and accident rates related to human error since task load, as part of total workload, is a constraint of modern complex systems. The results revealed strong correlations amongst accident rates linked to human error with the average employment costs and task load. The use of more specific data per aviation organizational department and professional group may further validate the results of this study. Organizations that seek to explore the 2 association between human error and employment budget and task load might appropriately adapt the approach proposed.
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This book – Complexity and Territorial Development – tells the story of how academic staff and students at the Van Hall Larenstein university of applied sciences deal with complexity and planning in education and research. It is intended for everyone who is involved in complex projects, but in particular for current and future students at the university who will be trained in how to handle complex projects. In this book we want to show why planning has become complex, what theories about this subject are relevant, and how this fits in with the practical experience of staff and students.
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From the article: "Axiomatic Design and Complexity Theory as described by Suh focus heavily on the coupling often found in functional requirements. This is so fundamental to the analysis of the design that it is the core of the Axiom of Independence which examines the coupling between functional requirements due to chosen design parameters. That said, the mapping between customer needs and functional requirements is often overlooked. In this paper we consider coupling, found due to this mapping, as a possible source of complexity in terms of a user interface to a designed product. We also re-examine the methodology of how customer needs are generated and translated into the other domains to understand how they can give further insight into the customer mindset. Based on this analysis, we believe customer domain complexity should always be examined in design that includes end-user interaction."
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