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This paper aims to review the current joint master’s program between two international institutions in the USA and Costa Rica; to identify students’ perceptions and experiences with the sustainability house (SH); and to apply these experiences in an effort to improve the practical learning environment for future students.

In an effort to understand student outcomes provided by the SH, an in-depth literature review on practical learning environments and interview methods were applied. The following open-ended questions were asked in an effort to gather and consolidate student experiences with the SH. What are your experiences in/with SH? Please tell us briefly about your experiences. The language has been adjusted and interviewers answered questions and made clarifications if asked to. Master’s in international sustainable tourism (MIST) program students were selected for this study. Participants’ responses were recorded using the computer-assisted personal interviewing technique.

The most important characteristic students recognized about the SH is that it “provided us a safe place to fail”. One student described SH as “[…] a safe space where students can gain experiences of learning new processes firsthand without external pressures (e.g., on-the-job training, eventuation, and financial analysis)”. The safety attribute of the SH environment is considered as a comfortable place to learn from other classmates or visitors (mostly volunteers and interns). It is a “real” hospitality and tourism business-learning center, which is a great benefit to the students not only because of its environment but also because of the diversity among student’s educational and professional backgrounds.

The primary limitations of this study need to be addressed. The number of interviews was very limited with one year data which could affect the generalizability of this study. In addition, it was not clearly explained to the student what rubrics and standardized metrics were used during interview process; after interview, students were asked to provide a better way to improve the research outcomes. For further studies, it is strongly recommended to provide the direction to make sure it applies to the conditions that are prevalent in the existing site to be examined.

Both strategies that link the SH to this MIST program have significant merit. Students implementing best practices in the courses have clearly identified the challenges of implementation, but all agree that there is tremendous value in the experiences they have received during their studies. Furthermore, using the SH as an engagement tool has motivated students to consciously interactive and collaborative in a more proactive manner.

This unique experience and operational competency at the SH provides participants with an in-depth understanding of the context and challenges of sustainability but needs to be detailed and promoted more in the future. The SH is facilitating a learning environment among not only students but also faculty and staff. The results clearly indicated that the SH has influenced sustainable behaviors by promoting interactive engagement.

The COVID-19 pandemic has had serious and far-reaching consequences on every aspect of human life. As various countries went into lockdown, hospitality and tourism was badly affected and this has had an impact on hospitality and tourism education too. This paper aims to assess the impact of the pandemic on hospitality and tourism education in India and the effectiveness of mitigation strategies in support of the industry. The study also proposes recommendations for resilience-building.

A pilot survey using semi-structured interviews was conducted and followed by a detailed questionnaire-based survey of industry representatives and educators. Selected industry leaders were also interviewed to understand the industry perspective on the pandemic, the “new normal” and the expectations of post pandemic graduates. The study focuses on four main areas – (1) existing interrelationships between industry and academia, (2) the efficiency of Internet-based education during the pandemic, (3) the “new normal” and the expectations of graduates and (4) recommendations for resilience-building.

There is a perceived gap between academia and industry that needs to be bridged. We found that the pandemic is seriously affecting education with challenges ranging from technological issues, disparities and reduced enrolments to student behavioural issues. Most impacted was the practical training component in operational areas and especially in food production and services. It is now clear that education needs a shift in focus from the more traditional, operational aspects of hospitality and tourism to technological awareness, knowledge and soft skills development. The research also identified a need for better two-way communication and information exchange between industry and academia. In fact, the lessons learnt from the pandemic need to be communicated from industry to academia. This is important given that industry expects graduates to be adaptive, compassionate, able to multi-task, familiar with the principles of crisis management and proficient with technology.

The study analyses possible long-term effects and implications for the workforce of the future as the industry struggles to respond to the pandemic. The study also suggests possible avenues and methods for industry and academia to form more symbiotic relationships and become more resilient.

The purpose of this paper is three-fold: to review the categories explaining mainly optimization algorithms (techniques) in that needed to improve the generalization performance and learning speed of the Feedforward Neural Network (FNN); to discover the change in research trends by analyzing all six categories (i.e. gradient learning algorithms for network training, gradient free learning algorithms, optimization algorithms for learning rate, bias and variance (underfitting and overfitting) minimization algorithms, constructive topology neural networks, metaheuristic search algorithms) collectively; and recommend new research directions for researchers and facilitate users to understand algorithms real-world applications in solving complex management, engineering and health sciences problems.

The FNN has gained much attention from researchers to make a more informed decision in the last few decades. The literature survey is focused on the learning algorithms and the optimization techniques proposed in the last three decades. This paper (Part II) is an extension of Part I. For the sake of simplicity, the paper entitled “Machine learning facilitated business intelligence (Part I): Neural networks learning algorithms and applications” is referred to as Part I. To make the study consistent with Part I, the approach and survey methodology in this paper are kept similar to those in Part I.

Combining the work performed in Part I, the authors studied a total of 80 articles through popular keywords searching. The FNN learning algorithms and optimization techniques identified in the selected literature are classified into six categories based on their problem identification, mathematical model, technical reasoning and proposed solution. Previously, in Part I, the two categories focusing on the learning algorithms (i.e. gradient learning algorithms for network training, gradient free learning algorithms) are reviewed with their real-world applications in management, engineering, and health sciences. Therefore, in the current paper, Part II, the remaining four categories, exploring optimization techniques (i.e. optimization algorithms for learning rate, bias and variance (underfitting and overfitting) minimization algorithms, constructive topology neural networks, metaheuristic search algorithms) are studied in detail. The algorithm explanation is made enriched by discussing their technical merits, limitations, and applications in their respective categories. Finally, the authors recommend future new research directions which can contribute to strengthening the literature.

The FNN contributions are rapidly increasing because of its ability to make reliably informed decisions. Like learning algorithms, reviewed in Part I, the focus is to enrich the comprehensive study by reviewing remaining categories focusing on the optimization techniques. However, future efforts may be needed to incorporate other algorithms into identified six categories or suggest new category to continuously monitor the shift in the research trends.

The authors studied the shift in research trend for three decades by collectively analyzing the learning algorithms and optimization techniques with their applications. This may help researchers to identify future research gaps to improve the generalization performance and learning speed, and user to understand the applications areas of the FNN. For instance, research contribution in FNN in the last three decades has changed from complex gradient-based algorithms to gradient free algorithms, trial and error hidden units fixed topology approach to cascade topology, hyperparameters initial guess to analytically calculation and converging algorithms at a global minimum rather than the local minimum.

The existing literature surveys include comparative study of the algorithms, identifying algorithms application areas and focusing on specific techniques in that it may not be able to identify algorithms categories, a shift in research trends over time, application area frequently analyzed, common research gaps and collective future directions. Part I and II attempts to overcome the existing literature surveys limitations by classifying articles into six categories covering a wide range of algorithm proposed to improve the FNN generalization performance and convergence rate. The classification of algorithms into six categories helps to analyze the shift in research trend which makes the classification scheme significant and innovative.

The purpose of this research study is to explore simple collaborative technique for teaching mathematics and thus improving the problem solving skills of the students. Better pedagogic activities are required to motivate the students to perceive mathematics as a subject that stimulates problem-solving skills required for engineers.

This paper presents a research study on the application of technology-supported collaborative learning in improving the problem-solving skills of first-year engineering students in a mathematics course. The experiment was conducted in a mathematics course “Engineering Calculus” with 286 first-year engineering students in two groups: experimental group (N = 60) and controlled group (N = 226). The academic performance of the students was measured and analyzed with statistical techniques.

From the results obtained, it was found that the academic performance of the experimental group was better than the controlled group. Also, interest shown by the students in the topic that dealt with collaborative learning was more than in other topics taught using conventional teaching methods.

The teachers are required to find effective pedagogical activities to improve the problem-solving skills in mathematics. The research work proposes a collaborative method in mathematics for attaining higher cognitive level in an entry level engineering course. The limitation of this study lies in group formation techniques and the grading policy which deals only with individual assessment scores.

Practice of collaborative learning is made easy with simple technology. A clear strategy for the conduct of collaborative learning sessions has been presented. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

Using technology in mathematics teaching may not be very easy for all teachers. Especially, for an undergraduate engineering fresher, mathematics may not be a very easy task. This work shall bridge the gap with simple technology-assisted collaborative learning. The teachers need not spend too much time and effort in learning technology for mathematics teaching. The effect of this learning is significant in terms of the performance and satisfaction evaluation.

This work presents a systematic implementation of collaborative learning that shall result in improved problem-solving skills and engaging learning sessions. The statistical analysis methods and the visualization of obtained results shall help in understanding the implications of the presented work. Practice of collaborative learning is made easy with simple technology. The solutions recommended are practically feasible and does not require any special infrastructure or specific training.

This paper explores the effects of the adaptation of the learning organisation (LO) concept to teaching in a university setting. The literature in accounting education calls for a change in traditional teaching methods in order to produce accounting graduates whose skills are more appropriate for the contemporary business and professional environment. To address this deficiency accounting educators have started to explore and use teaching innovations. In this study, the LO concept has been adapted to a teaching environment, in contrast to most research which has focused on LO in business settings. The paper, through the examination of empirical evidence arising from a natural experiment, was able to determine some of the impacts arising from the adaptation of the LO concept to teaching in a university setting. The results of the paper suggest that the adaptation of the LO concept not only resulted in improved student learning outcomes, but also influenced life‐long learning. Further research could widen the scope of the operationalisation of the LO concept and explore its use in other undergraduate and postgraduate units.

Deficient group processes such as conformity pressure can lead to inadequate group decisions with negative social, economic, or environmental consequences. The study aims to investigate how a group technique (called INFO) improves students' handling of conformity pressure and their collective judgments in the context of a transdisciplinary case study (TCS) for sustainability learning.

The improvement of normative functioning and output (INFO) group technique was tested in a field experiment embedded in a TCS. The INFO technique involves individual and group assessments of task difficulty. The experiment compares the performance of student groups assigned to control and experimental conditions in estimation tasks related to environmental planning and rail traffic.

The INFO interventions significantly improved the accuracy of group estimates compared to the control conditions. Applying the group technique could promote student's learning and facilitate the search for sustainable solutions in a TCS.

Results indicate that individually and collectively analyzing and discussing difficulties of a task as suggested by the INFO group technique can help students improve collective judgments on real world issues.

Group techniques are a prominent type of TCS methods as group processes are crucial for sustainability learning. First, this study applies the INFO group technique in a TCS in order to evaluate and further develop the technique.

The purpose of this paper is to evaluate the effectiveness of role playing as an applied learning technique for enhanced classroom experiences as compared to traditional lecture methods.

This study uses the pre-test/post-test design to conduct experiments with several control and experimental groups. Subjects are graduate students in an MBA program at a private, non-profit university in a traditional classroom setting.

Students in the experimental group gained significantly more knowledge (post-test minus pre-test scores) – 45 percent higher – through participation in the role playing exercise as compared to the control group.

This study represents only a single educational discipline explored using a single role playing learning activity. Impacts on the long-term retention of the knowledge should be studied further.

Educators should enhance their classroom experience with more applied learning activities such as role playing in order to increase knowledge gain and potentially longer knowledge retention.

This study uses a customized role playing activity within a business curriculum as one of many applied learning techniques. The value to students was shown by significantly higher gain in knowledge while simultaneously enhancing their enjoyment of the classroom experience to potentially encourage further lifelong learning.

Structuring the outline for an architectural design studio experience has a significant role in students’ meaningful design experiences. Meaningful experience is related with students’ receptivity and idea generation for the ill-structured problems of architectural design. This identification influences the study, which investigates the application of a model for structuring the design studio experience, organized to occur in two phases; problem reception and problem solving. The model employs a combination of two different techniques with a special focus on reflexivity. It completes the extensions level required for the ICE Approach with the C-Sketch ideation technique by employing their adapted versions for architectural design studio practice. The common features of these techniques are their adaptability to any problem, explication centered and process oriented natures, focus on effective brainstorming and suitability on design teamwork studies. There is a remarkable potential to correlate the results of the two techniques.

The model was processed within a vertical design studio at Gazi University, Department of Architecture. It enabled getting use of diverse backgrounds within a design team by structuring the collective design process and optimizing the contribution rates of the team members. The method was employed to guide the design study of the experimental group of two teams with ten members in total. The control group was the randomly selected two teams from other teams that did not apply the model, with eleven members in total. The members of the two groups were applied a semi-structured questionnaire at the end of the semester, with a special focus on the internal consistency within the answers of the members of a single team. The results of the qualitative study indicated that the explication based structuring of the design studio experience has had a positive impact on achieving consistency and coherency in the design processes of the experimental groups.