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This paper aims to provide instructors with a hands-on engaging and experiential class activity designed to teach undergraduate and graduate students about different organizational structures in management courses. Through this exercise, students will be able to self-identify the challenges and strengths of working under contrasting organizational structures.

Split into two (or four) teams, students construct origami animals based on their team’s organizational structure, using both mechanistic and organic structures to create a zoo based on a set of instructions and boundary conditions. Materials required include origami paper, markers, printed instructions, origami animal instructions, and role title cards for each student. The exercise takes approximately 30–45 min, including debriefing discussion. All materials/instructions needed are included with this paper (except origami paper and markers).

Through this exercise, students internalize the challenges and strengths of working in organizations with contrasting structures. The debrief discussion will help solidify student understanding of what the day to day experience of working in different organizational structures might look like, the pros and cons of different structures, and what type of employees or industries might thrive under different structures.

This paper is being submitted for the “Special Issue Call for Papers: Modern Day Experiential Exercises.”

This activity allows students to draw their own conclusions about organizational structure and to engage in a fruitful discussion about what working at different types of organizations looks like on a day-to-day basis.

This activity allows students to strengthen their skills in communication, teamwork, and leadership by having them work in teams to complete a challenging, competitive task.

While teaching organizational structure in management courses has traditionally been limited to traditional forms of instruction such as lecturing and reviewing different organizational charts, this activity gives students a fun competitive in-class activity in which they practice working as a part of contrasting organizational structures to see what type of structure they might thrive in.

The purpose of this manuscript is to highlight how gamification is transforming recruitment, retention and training to resolve employee engagement challenges in the ever-changing workplace. In collaborating with game industry experts and designers, the authors taught students team leadership skills by demonstrating how to design and play their own original cooperative strategy games. In doing so, students learn what gamification is and how it can be used to train our multigenerational workforce; how designing board games teaches team leadership skills (e.g. communication, conflict management, power, decision-making); and how to develop cooperative strategy game elements (player characters, roles and actions) that motivate engaging gameplay with successful learning outcomes.

In this paper, the authors discuss the practical implications of a three-phase semester-long experiential learning experience, where game design demonstrates to students how employees can work collaboratively together in teams. Students’ developed storylines (i.e. strategic objectives) including motivation challenges, social media communication breakdowns, sabotage, global sustainability and other real-world challenges. In Phase 1, students learn about how companies are using gamification in training high-performing teams. In Phase 2, students play a cooperative strategy game Forbidden Island with their student teams. In Phase 3, students design (and play) their original cooperative strategy game, instructions booklet and build a facilitation guide.

Approximately, 400 students developed 48 original cooperative strategy games that can be used to teach team leadership skills. These student teams designed cooperative strategy board games – in which the entire team either wins or loses based on their control of valued resources and player actions as key decision-making points. The data and feedback indicate that the learning experience helped them practically consider team interdependence in making effective decisions, and in creating creative self-efficacy, resilience and self-confidence in their own leadership voice. In this manuscript, the authors focus on providing an overview and implementation plan for our semester-long experiential learning exercise.

This experiential exercise was implemented from 2019 to 2023 in different learning modalities (face-to-face, hybrid, 100% synchronous online learning) and during challenging times (prepandemic, pandemic and postpandemic learning environments). These varying experiences provided them with a challenge to persevere and learn about their own interpersonal skills and resilience in a creative engaging way with limited resources. Students developed 26 original games during 100% synchronous remote learning due to COVID. To the best of the authors’ knowledge, no other business school is working with gaming industry experts and game designers to teach team leadership to this degree during pre- and postpandemic environments.

Children with developmental disabilities (e.g. learning disability and autism) often struggle with handwriting skills. This study aims to implement an adapted handwriting programme for children with developmental disabilities to improve their handwriting skills.

Six children with developmental disabilities aged 9–15 years received an adapted Handwriting Without Tears® (HWT) programme in small groups over eight weeks. The programme was delivered by typical teaching staff (i.e. paraprofessionals) at a special education school following a brief training session and with ongoing supervision. A range of measures assessed the children’s handwriting and related skills. Social validity interviews were conducted with school staff following the intervention to evaluate the programme’s acceptability.

Typical teaching staff implemented the handwriting programme with 92.3% average fidelity and delivered a minimum of three sessions per week. Social validity interviews demonstrated the acceptability of the intervention to school staff. After eight weeks of intervention, all children improved their handwriting on various assessments. Improvements were only partially maintained at follow-up.

This study supports the feasibility of using an adapted HWT programme to teach handwriting to children with developmental disabilities in special education settings. Typical teaching staff can be trained to support the delivery of the programme to children in small groups.

The previous coronavirus disease 2019 (COVID-19) pandemic has forced pre-service English teachers to conduct their teaching simulation virtually. In the context of online teaching, social presence is vital for effective learning. This skill is perceived as a way to humanize the online learning process. This article explores how social presence is represented in the pre-service teacher's synchronous online classroom and how the development of social presence enables the pre-service teachers to develop their students' well-being and thus humanize online classrooms.

The current study draws upon case study research. The data were collected from (1) synchronous online teaching simulation recordings of pre-service English teachers from the Language Classroom Management course and (2) interview transcripts from three participants. Both data sources were transcribed, coded and analyzed. A two-step coding scheme for pre-service English teachers' social presence was adapted from the Community of Inquiry (CoI) coding template.

This study reports that all the three social presence categories (i.e. cohesive, affective and interactive) emerged from their online teaching simulation. In addition, the development of social presence to humanize online classrooms from the pre-service teachers was found in these stages: (1) having a role model for teaching, (2) showing respect and being friendly and (3) adjusting the language of instructions to the students' level.

This study has been limited to the pre-service teachers in one university only. Therefore, this needs to be tested in wider settings and contexts.

Theoretically, this study has added students' well-being as the element that connects social presence to the humanizing online classroom. Meanwhile, practically, in relation to teacher education, this paper also recommends the teaching stages leading to a more humanized online learning.

Current studies tend to describe social presence in experienced teachers' asynchronous online classrooms. Rarely did the studies explore social presence as practiced by pre-service teachers in the context of synchronous videoconferencing class. Furthermore, there has also been limited research connecting social presence with humanized classrooms.

This paper aims to investigate how congruent keywords are used in information security policies (ISPs) to pinpoint and guide clear actionable advice and suggest a metric for measuring the quality of keyword use in ISPs.

A qualitative content analysis of 15 ISPs from public agencies in Sweden was conducted with the aid of Orange Data Mining Software. The authors extracted 890 sentences from these ISPs that included one or more of the analyzed keywords. These sentences were analyzed using the new metric – keyword loss of specificity – to assess to what extent the selected keywords were used for pinpointing and guiding actionable advice. Thus, the authors classified the extracted sentences as either actionable advice or other information, depending on the type of information conveyed.

The results show a significant keyword loss of specificity in relation to pieces of actionable advice in ISPs provided by Swedish public agencies. About two-thirds of the sentences in which the analyzed keywords were used focused on information other than actionable advice. Such dual use of keywords reduces the possibility of pinpointing and communicating clear, actionable advice.

The suggested metric provides a means to assess the quality of how keywords are used in ISPs for different purposes. The results show that more research is needed on how keywords are used in ISPs.

The authors recommended that ISP designers exercise caution when using keywords in ISPs and maintain coherency in their use of keywords. ISP designers can use the suggested metrics to assess the quality of actionable advice in their ISPs.

The keyword loss of specificity metric adds to the few quantitative metrics available to assess ISP quality. To the best of the authors’ knowledge, applying this metric is a first attempt to measure the quality of actionable advice in ISPs.

In today’s world, empowering individuals, promoting social cohesion and advancing economic development all hinge on access to high-quality education, prioritizing diversity, inclusion and equality. Rethinking current educational strategies using cyber-physical learning assets is necessary to accommodate the learning inclusivity and equity and escalating demands of a globalized world. There is a pressing demand for evidence to support the efficacy of collaborative learning in transforming curriculum and fostering learner inclusion. However, it is recognized as a pedagogical technique within the quality education domain. This study aims to address this knowledge gap by investigating how hybridized cybergogy paradigms facilitate collaborative learning, focusing on diversity, equity and inclusion, to improve educational quality in higher education.

This study used a qualitative approach with an exploratory design guided by an interpretive philosophical perspective. The data was gathered from 60 prospective teachers from the public sector university of Sindh, Pakistan. Semi-structured interviews were conducted with participants. They were then analyzed using theme analysis to understand their views on the potential of hybridized cybergogy paradigms for collaborative learning to improve the quality of education provided at institutions.

The study results confirm that learners benefit from increased access to learning resources, improved critical thinking and problem-solving skills and a more diverse and inclusive classroom working together in a collaborative hybridized cybergogy setting. By fostering SDG 4 (Quality Education) and the 21st-century skills necessary for global marketplace engagement and competing in progressive environments, this creative method equips learners with the capabilities to face modern global challenges.

The study offers valuable practical suggestions to stakeholders in higher education, including faculty, policymakers and teacher education programs, for integrating hybridized cybergogy and collaborative learning to align curricula with sustainable development goals. Additionally, it bridges a significant gap in the existing literature, which will aid future researchers interested in exploring this area.

This study stands out as it explores an underexamined area while providing novel educational insights.

This study was done to compare the modes of teaching mathematics in higher education in the United Arab Emirates (UAE). The three teaching methods were used as follow: before, during and after the COVID-19 pandemic. The three teaching methods are: (1). Normal on-campus face-to-face teaching and learning activity before the COVID-19 pandemic. (2). Full online teaching and learning activity during the COVID-19 pandemic. (3). Blended teaching and learning activity after the COVID-19 pandemic.

Over the last few years, there has been a considerable amount of literature investigating the efficacy of the various delivery modes: on-campus delivery (face-to-face), online delivery and blended learning (hybrid), in helping college students improve their mathematical skills. However, the extent to which one learner learns best has been hotly debated among the researchers. Therefore, this study aims to compare the efficacy of implementing three teaching and learning delivery modes before, while, and after the COVID-19 pandemic: on-campus delivery (face-to-face), online delivery and blended learning (hybrid) on academic achievement in mathematics at a higher education institution in the UAE. The main research question explores whether there is a statistically significant difference (p = 0.05) in students’ academic based on the delivery methods: on-campus face-to-face, online and blended learning. The participants in the study were students from one of the largest higher education institutions in the UAE, and all of them studied the same mathematics course before, during and after the COVID-19 pandemic. Student scores in the three academic semesters were thoroughly compared and analyzed using the ANOVA test to check if there is a significant difference between the three groups followed by a Tukey test to identify the significant difference in favor of which group. The results showed that there were significant differences in the mean scores in the students’ achievement in the mathematics courses favoring the blended learning delivery mode. The findings also show that the students’ achievement in mathematics using the on-campus face-to-face teaching and learning was better than the students’ achievement in mathematics using online teaching and learning delivery modes.

The main study question was: is there a statistical significant difference at the significance level (a = 0.05) in students’ achievements in mathematics courses at higher education in the UAE, which can be attributed to the method of teaching? The descriptive statistics reveal that the average student’s score in the final exam after the COVID-19 pandemic is 65.7 with a standard deviation of 16.65, which are higher than the average student’s score in the final exam before the COVID-19 pandemic of 58.7 with a standard deviation 20.53, and both are higher than the average students’ score in the final exam during the COVID-19 pandemic 51.8 with standard deviation 21.48. Then, the ANOVA test reveals that there is a statistically significant difference between the three groups in the final exam marks. The researchers used the multiple comparison tests (Tukey test) to determine the difference. The Tukey test reveals that there is a statically significant difference between the average students’ score in the final exam after the COVID-19 pandemic and the average students’ score in the final exam during the COVID-19 pandemic, where p = 0.015 < 0.05 as well as there is a statically significant difference between the average students’ score in the final exam after the COVID-19 pandemic and the average students’ score in the final exam before the COVID-19 pandemic, where p = 0.000 < 0.05 in favor of the average students’ score in the final exam after the COVID-19 pandemic. On the other hand, there is a statically significant difference between the average students’ score in the final exam before the COVID-19 pandemic and the average students’ score in the final exam during the COVID-19 pandemic, where p = 0.016 < 0.05 in favor of the average students’ score in the final exam before the COVID-19 pandemic.

There are several limitations that may reduce the possibility of generalizing the expected results of the current study to students outside the study population: (1) The study is limited to students of a federally funded postsecondary education institution in the UAE, in which most students are studying in their non-native language. (2) The study is limited to the mathematics courses. (3) The achievement test used in the study is a standardized test developed by the college as a cross-campus summative assessment.

The hybrid education model, also known as blended learning, combines traditional face-to-face instruction with online learning components. When applied to teaching mathematics in higher education, this approach can have several implications and benefits. Here are some key points supported by references: (1) Enhanced Accessibility and Flexibility: hybrid models offer flexibility in learning, allowing students to access course materials, lectures and resources online. This flexibility can accommodate diverse learning styles and preferences. A study by Means et al. (2013) in “Evaluation of Evidence-Based Practices in Online Learning” highlights how blended learning can improve accessibility and engagement for students in higher education. (2) Personalized Learning Experience: by incorporating online resources, instructors can create a more personalized learning experience. Adaptive learning platforms and online quizzes can provide tailored feedback and adaptive content based on individual student needs (Freeman et al., 2017). This individualization can improve student performance and understanding of mathematical concepts. (3) Increased Student Engagement: the integration of online components, such as interactive simulations, videos and discussion forums, can enhance student engagement and participation (Bonk and Graham, 2012). Engaged students tend to have better learning outcomes in mathematics. (4) Improved Assessment and Feedback Mechanisms: hybrid models allow for the implementation of various assessment tools, including online quizzes, instant feedback mechanisms and data analytics, which can aid instructors in monitoring students’ progress more effectively (Means et al., 2013). This timely feedback loop can help students identify areas needing improvement and reinforce their understanding of mathematical concepts. (5) Cost-Effectiveness and Resource Optimization: integrating online materials can potentially reduce overall instructional costs by optimizing resources and enabling efficient use of classroom time (Graham, 2013). (6) Challenges and Considerations: despite the benefits, challenges such as technological barriers, designing effective online materials and ensuring equitable access for all students need to be addressed (Garrison and Vaughan, 2014). It requires thoughtful course design and continuous support for both students and instructors. When implementing a hybrid education model in teaching mathematics, instructors should consider pedagogical strategies, technological infrastructure and ongoing support mechanisms for students and faculty.

The research is the first research in the UAE to discuss the difference in teaching mathematics in higher education before, during and after the COVID-19 pandemic.

This viewpoint article explores the transformative capabilities of large language models (LLMs) like the Chat Generative Pre-training Transformer (ChatGPT) within the property valuation industry. It particularly accentuates the pivotal role of prompt engineering in facilitating valuation reporting and advocates for adopting the “Red Book” compliance Chain-of-thought (COT) prompt engineering as a gold standard for generating AI-facilitated valuation reports.

The article offers a high-level examination of the application of LLMs in real estate research, highlighting the essential role of prompt engineering for future advancements in generative AI. It explores the collaborative dynamic between valuers and AI advancements, emphasising the importance of precise instructions and contextual cues in directing LLMs to generate accurate and reproducible valuation outcomes.

Integrating LLMs into property valuation processes paves the way for efficiency improvements and task automation, such as generating reports and drafting contracts. AI-facilitated reports offer unprecedented transparency and elevate client experiences. The fusion of valuer expertise with prompt engineering ensures the reliability and interpretability of valuation reports.

Delineating the types and versions of LLMs used in AI-generated valuation reports encourage the adoption of transparency best practices within the industry. Valuers, as expert prompt engineers, can harness the potential of AI to enhance efficiency, accuracy and transparency in the valuation process, delivering significant benefits to a broad array of stakeholders.

The article elucidates the substantial impact of prompt engineering in leveraging LLMs within the property industry. It underscores the importance of valuers training their unique GPT models, enabling customisation and reproducibility of valuation outputs. The symbiotic relationship between valuers and LLMs is identified as a key driver shaping the future of property valuations.

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

Building on the “needs–affordances–features” framework, the authors explored how users are motivated by their needs to actualize the feature-enabled affordances and engage in the metaverse.

The data were collected through semi-structured and in-depth interviews with 35 participants. The authors applied thematic analysis to summarize the key features and affordances, supplemented by frequency analysis to explore the significance of the features. Sentiment analysis was employed to explicate the relationship between user affordance sentiments and engagement.

The key features of the metaverse portal components—hardware, software and content—afford user behaviors. The features of mechanics and physics engines are important for user engagement in the metaverse. The affordances are related to needs satisfaction and user engagement. Mental immersion was frequently mentioned by the participants, implying that it is significant to afford mental immersion in the metaverse.

The findings of the study provide a rich understanding for practitioners in the metaverse on how to use the features to afford user behaviors and engage them. The authors identified the key elements of user engagement that can be used to guide metaverse game designers.

This study provides a rich and systematic understanding of features, affordances, needs satisfaction and engagement in the metaverse. Going beyond a fragmented view, the findings conclude a research framework that weaves features, affordances, needs and engagement together.