Aim/Purpose: This research aims to evaluate models from meta-learning techniques, such as Riemannian Model Agnostic Meta-Learning (RMAML), Model-Agnostic Meta-Learning (MAML), and Reptile meta-learning, to obtain high-quality metadata. The goal is to utilize this metadata to increase accuracy and efficiency in identifying chili varieties in smart agriculture. Background: The identification of chili varieties in smart agriculture is a complex process that requires a multi-faceted approach. One challenge in chili variety identification is the lack of a large and diverse dataset. This can be addressed using meta-learning techniques, which allow the model to leverage knowledge learned from other related tasks or artificially expand the dataset by applying transformations to existing data. Another challenge is the variation in growing conditions, which can affect the appearance of chili varieties. Meta-learning techniques can help address this challenge by allowing the model to adapt to variations in growing conditions with task-specific embeddings and optimizations. With the help of meta-learning techniques, such as data augmentation, data characterization, selection of datasets, and performance estimation, quality metadata for accurate identification of chili varieties can be achieved even in the presence of limited data and variations in growing conditions. Furthermore, the use of meta-learning techniques in chili variety identification can also assist in addressing challenges related to the computational complexity of the task. Methodology: The research approach employed is quantitative, specifically comparing three models from meta-learning techniques to determine which model is most suitable for our dataset. Data was collected from the variety assembly garden in the form of images of chili leaves using a mobile device. The research successfully gathered 1,974 images of chili leaves, with 697 images of large red chilies, 649 images of curly red chilies, and 628 images of cayenne peppers. These chili leaf images were then processed using augmentation techniques. The results of image data augmentation were categorized based on leaf characteristics (such as oval, lancet, elliptical, serrated leaf edges, and flat leaf edges). Subsequently, training and validation utilized three models from meta-learning techniques. The final stage involved model evaluation using 2-way and 3-way classification, as well as 5-shot and 10-shot learning scenarios to select the dataset with the best performance. Contribution: Improving classification accuracy, with a focus on ensuring high-quality data, allows for more precise identification and classification of chili varieties. Enhancing model training through an emphasis on data quality ensures that the models receive reliable and representative input, leading to improved generalization and performance in identifying chili varieties. Findings: With small collections of datasets, the authors have used data augmentation and meta-learning techniques to overcome the challenges of limited data and variations in growing conditions. Recommendations for Practitioners: By leveraging the knowledge and adaptability gained from meta-learning, accurate identification of chili varieties can be achieved even with limited data and variations in growing conditions. The use of meta-learning techniques in chili variety identification can greatly improve the accuracy and reliability of the identification process. Recommendation for Researchers: Using meta-learning techniques, such as transfer learning and parameter optimization, researchers can overcome challenges related to limited data and variations in growing conditions in chili variety identification. Impact on Society: The findings from this research can help identify superior chili seeds, thereby motivating farmers to cultivate high-quality chilies and achieve bountiful harvests. Future Research: We intend to verify our approach on a more extensive array of datasets and explore the implementation of more resilient regularization techniques, going beyond image augmentation, within the meta-learning techniques. Furthermore, our goal is to expand our research to encompass the automatic learning of parameters during training and tackle issues associated with noisy labels. Building on the insights gained from our observed outcomes, a future objective is to enhance the refinement of model-agnostic meta-learning techniques that can effectively adapt to intricate task distributions with substantial domain gaps between tasks. To realize this aim, our proposal involves devising model-agnostic meta-learning techniques specifically designed for multi-modal scenarios.

Aim/Purpose: This study examined the use of Social Media Applications (SMAs) for accessing health-related information within a heterogeneous population in Jordan. The objective of this study was therefore threefold: (i) to investigate the usage of SMAs, including WhatsApp, Twitter, YouTube, Snapchat, Instagram, and Facebook, for accessing health-related information; (ii) to examine potential variations in the use of SMAs based on demographic and behavioral characteristics; and (iii) to identify the factors that can predict the use of SMAs. Background: There has been limited focus on investigating the behavior of laypeople in Jordan when it comes to seeking health information from SMAs. Methodology: A cross-sectional study was conducted among the general population in Jordan using an online questionnaire administered to 207 users. A purposive sampling technique was employed, wherein all the participants actively sought online health information. Descriptive statistics, t-tests, and regression analyses were utilized to analyze the collected data. Contribution: This study adds to the existing body of research on health information seeking from SMAs in developing countries, with a specific focus on Jordan. Moreover, laypeople, often disregarded by researchers and health information providers, are the most vulnerable individuals who warrant greater attention. Findings: The findings indicated that individuals often utilized YouTube as a platform to acquire health-related information, whereas their usage of Facebook for this purpose was less frequent. Participants rarely utilized Instagram and WhatsApp to obtain health information, while Twitter and Snapchat were very seldom used for this purpose. The variable of sex demonstrated a notable positive correlation with the utilization of YouTube and Twitter for the purpose of finding health-related information. Conversely, the variable of nationality exhibited a substantial positive correlation with the utilization of Facebook, Instagram, and Twitter. Consulting medical professionals regarding information obtained from the Internet was a strong indicator of using Instagram to search for health-related information. Recommendations for Practitioners: Based on the empirical results, this study provides feasible recommendations for the government, healthcare providers, and developers of SMAs. Recommendation for Researchers: Researchers should conduct separate investigations for each application specifically pertaining to the acquisition of health-related information. Additionally, it is advisable to investigate additional variables that may serve as predictors for the utilization of SMAs. Impact on Society: The objective of this study is to enhance the inclination of the general public in Jordan to utilize SMAs for health-related information while also maximizing the societal benefits of these applications. Future Research: Additional research is required to examine social media’s usability (regarding ease of use) and utility (comparing advantages to risks) in facilitating effective positive change and impact in healthcare.

Alzheimer's disease (AD), a leading cause of dementia and mortality, presents a growing concern due to its irreversible progression and the rising costs of care. Early detection is crucial for managing AD, which begins with memory deterioration caused by the damage to neurons involved in cognitive functions. Although incurable, treatments can manage its symptoms. This study introduces a hybrid AlexNet+ResNet-50 model for AD diagnosis, utilising a pre-trained convolutional neural network (CNN) through transfer learning to analyse MRI scans. This method classifies MRI images into Alzheimer's disease (AD), moderate cognitive impairment (MCI), and normal control (NC), enhancing model efficiency without starting from scratch. Incorporating transfer learning allows for refining the CNN to categorise these conditions accurately. Our previous work also explored atlas-based segmentation combined with a U-Net model for segmentation, further supporting our findings. The hybrid model demonstrates superior performance, achieving 94.21% accuracy in identifying AD cases, indicating its potential as a highly effective tool for early AD diagnosis and contributing to efforts in managing the disease's impact.

The novel coronavirus pandemic ravaged the world in 2020, making the world fall into an unprecedented period of stagnation. This research used the Sol-Idea internet public opinion analysis platform to collect, and analyses online public opinion data associated with novel coronavirus. This research finds the following situations: 1) COVID-19 online opinion leaders are more likely to post in major discussion boards. However, opinion leaders of replies but use PTT forum as the main discussion channel; 2) According to the analysis of the content and behaviour of the account 'ebola01', it is found that the content of the posts are mostly news praising the ruling party government or mocking the opposing parties, with the sources mostly coming from media considered to be more pro-ruling party. Therefore, it can be inferred that 'ebola01' may be part of cyber army with a particular political spectrum.

With the continuous growth and importance of data, the need for strong data protection becomes crucial. Encryption plays a vital role in preserving the confidentiality of data, and attribute-based encryption (ABE) offers a meticulous access control system based on attributes. This study investigates the integration of Fernet encryption with initialisation vector (IV) and ABE, resulting in a hybrid encryption approach that enhances both security and flexibility. By combining the advantages of Fernet encryption and IV-based encryption, the hybrid encryption scheme establishes an effective and robust mechanism for safeguarding data. Fernet encryption, renowned for its simplicity and efficiency, provides authenticated encryption, guaranteeing both the confidentiality and integrity of the data. The incorporation of an initialisation vector (IV) introduces an element of randomness into the encryption process, thereby strengthening the overall security measures. This research paper discusses the advantages and drawbacks of the hybrid encryption of Fernet and IV with ABE.

As a result of the rapid development of Information and Communication Technology (ICT) and the growing interest in Internet-based tools for language classroom, it has become a pressing need for educators to locate, evaluate and select the most appropriate language-learning digital resources that foster more communicative and meaningful learning processes. Hence, this paper describes a mixed research project that, on the first hand, aimed at proposing a Checklist for evaluating language websites built on the principles of the Communicative Approach, and on the second hand, sought to strengthen the teachers’ Knowing-how-to-do skill as part of their digital competence. To achieve these goals, a four-phase research procedure was followed that included reviewing relevant literature and administering qualitative and quantitative research methods to participants (i.e., language teachers, an expert in the Computer-Assisted Language Learning (CALL) field and a college professor) in order to gain insights into problematic issues and, thereafter, to contribute to the creation and validation of the Checklist model and the Study Guide. The findings revealed that: (a) evaluating language websites leads to the enhancement of the teachers’ practical skills and their knowledge of the technological language; and (b) having an assessment instrument allows educators to choose the materials that best meet their communicative teaching purposes.

Soft skills are becoming increasingly important and will be critical for success in the Information Systems profession. Employers complain about a lack in soft skills among graduates from tertiary education institutions. No agreement exists about what these skills actually are, which are of importance, and how acquiring these soft skills should be approached in higher education. The aim of this paper is to research the perceptions of lecturers, industry, and students on soft skills development of students and to identify important soft skills that need to be developed. The paper starts with a problem statement emphasizing the importance of soft skills and the possible lack thereof. This is followed by a literature review, a description of the methodology followed for this research, the results, conclusion, and the references. The research was done at a university in South Africa. Questionnaires consisting of open questions were distributed to lecturers, industry, and students respectively, and qualitative analysis was done on the results. Results show that stakeholders feel that soft skills of students are not developed adequately, that there is some uncertainty about who should be responsible for developing soft skills, and that the development of soft skills is seen as a difficult task. A list is compiled of the most important soft skills according to literature, lecturers, industry, and students. This list can be used in further research on the soft skills of IT-students. Recommendations are made for the teaching and learning of soft skills.

Aim/Purpose: As online video lectures rapidly gain popularity in formal and informal learning environments, one of their main challenges is student retention. This study investigates the influence of adding interactivity to online video lectures on students’ attention span. Background: Interactivity is perceived as increasing the attention span of learners and improving the quality of learning. However, interactivity may be regarded as an interruption, which distracts students. Furthermore, adding interactive elements to online video lectures requires additional investment of various resources. Therefore, it is important to investigate the impact of adding interactivity to online video lectures on the attention span of learners. Methodology: This study employed a learning analytics approach, obtained data from Google Analytics, and analyzed data of two Massive Open Online Courses (MOOCs) that were developed by the Open University of Israel in order to make English for academic purposes (EAP) courses freely accessible. Contribution: The paper provides important insights, based on quantitative empirical research, on: integrating interactive elements in online videos; the impact of video length; and differences between two groups of advanced and basic learners. Furthermore, it demonstrates how learning analytics may be used for improving instructional design. Findings: The findings suggest that interactivity may increase the attention span of learners, as measured by the average online video lecture viewing completion percentage, before and after the addition of interactivity. However, when the lecture is longer than about 15 minutes, the completion percentages decrease, even after adding interactive elements. Recommendations for Practitioners: Adding interactivity to online video lectures and controlling their length is expected to increase the attention span of learners. Recommendation for Researchers: Learning analytics is a powerful quantitative methodology for identifying ways to improve learning processes. Impact on Society: Providing practical insights on mechanisms for increasing the attention span of learners is expected to improve social inclusion. Future Research: Discovering further best practices to improve the effectiveness of online video lectures for diverse learners.

Aim/Purpose: Significant urban digital divide exists in Nairobi County where low income households lack digital literacy skills and do not have access to the internet. The study was undertaken as an intervention, designed to close the digital divide among low income households in Nairobi by introducing internet access using the domestication framework. Background: Information and Communication Technologies (ICTs) have the potential to help reduce social inequality and have been hailed as critical to the achievement of the Sustainable Development goals (SDGs). Skills in use of ICTs have also become a prerequisite for almost all forms of employment and in accessing government services, hence, the need for digital inclusion for all. Methodology: In this research study, I employed a mixed methods approach to investigate the problem. This was achieved through a preliminary survey to collect data on the existence of urban digital divide in Nairobi and a contextual analysis of the internet domestication process among the eighteen selected case studies. Contribution: While there have been many studies on digital divide between Africa and the rest of the world, within the African continent, among genders and between rural and urban areas at national levels, there are few studies exploring urban digital divide and especially among the marginalized communities living in the low-income urban areas. Findings: Successful domestication of internet and related technologies was achieved among the selected households, and the households appreciated the benefits of having and using the internet for the first time. A number of factors that impede use of internet among the marginalized communities in Nairobi were also identified. Recommendations for Practitioners: In the study, I found that use of differentiated costs internet services targeting specific demographic groups is possible and that use of such a service could help the marginalized urban communities’ access the internet. Therefore, ISPs should offer special internet access packages for the low-income households. Recommendation for Researchers: In this research study, I found that the urban digital divide in Nairobi is an indication of social economic development problems. Therefore, researchers should carryout studies involving multipronged strategies to address the growing digital divide among the marginalized urban communities. Impact on Society: The absence of an Information and Communication Technology (ICT) inclusion policy is a huge setback to the achievement of the SDGs in Kenya. Digital inclusion policies prioritizing digital literacy training, universal internet access and to elucidate the social-economic benefits of internet access for all Kenyans should be developed. Future Research: Future studies should explore ways of providing affordable mass internet access solutions among the residents of low-income communities and in eliminating the persistence urban digital divide in Kenya.

Aim/Purpose: The digital divide and educational inequalities remain a significant societal problem in the United States, and elsewhere, impacting low income, first-generation, and minority learners. Accordingly, institutions of higher education are challenged to meet the needs of students with varying levels of technological readiness with deficiencies in information and digital literacy shown to be a hindrance to student success. This paper documents the efforts of a mid-Atlantic minority-serving institution as it seeks to assess, and address, the digital and information literacy skills of underserved students Background: A number of years ago, a historically Black university in Maryland developed an institutional commitment to the digital and information literacy of their students. These efforts have included adoption of an international certification exam used as a placement test for incoming freshmen; creation of a Center for Student Technology Certification and Training; course redesign, pre and post testing in computer applications courses; and a student perception survey. Methodology: A multi-methodological approach was applied in this study which relied on survey results, pre and post testing of students enrolled in introductory and intermediate computer applications courses, and scores from five years of placement testing. Student pre and post test scores were compared in order to examine degree of change, and post test scores were also assessed against five years of scores from the same test used as a placement for incoming freshmen. Finally, a student perception and satisfaction survey was administered to all students enrolled in the courses under consideration. The survey included a combination of dichotomous, Likert-scaled, and ranking questions and was administered electronically. The data was subsequently exported to Microsoft Excel and SPSS where descriptive statistical analyses were conducted. Contribution: This study provides research on a population (first-generation minority college students) that is expanding in numbers in higher education and that the literature reports as being under-prepared for academic success. Unfortunately, there is a paucity of current studies examining the information and technological readiness of students specifically enrolled at minority serving institutions. As such, this paper is timely and relevant and helps to extend our discourse on the digital divide and technological readiness as it impacts higher education. The students included in this study are representative of those enrolled in Historically Black Colleges or Universities (HBCUs) in the United States, giving this paper broad implications across the country. Internationally, most countries have populations of first-generation college students from under-served populations for whom a lack of digital readiness is an also an issue therefore giving this study a global relevance. Findings: The digital divide is a serious concern for higher education, especially as schools seek to increasingly reach out to underserved populations. In particular, the results of this study show that students attending a minority serving institution do not come to college with the technology skills needed for academic success. Pre and post testing of students, as well as responses to survey questions, have proven the efficacy of computer applications courses at building the technology skills of students. These courses are viewed overwhelmingly positive by students with respondents reporting that they are a necessary part of the college experience that benefits them academically and professionally. Use of an online simulated learning and assessment system with immediate automated feedback and remediation was also found to be particularly effective at building the computer and information literacy skills of students. The total sample size for this study was over 2,800 individuals as data from 2690 IC3 tests administered over a five year period were considered, as well as 160 completed surveys, and pre and post testing of 103 students. Recommendations for Practitioners: Institutions of higher education should invest in a thorough examination of the information and technology literacy skills, needs, and perceptions of students both coming into the institution as well as following course completion. Recommendation for Researchers: This research should be expanded to more minority serving institutions across the United States as well as abroad. This particular research protocol is easily replicated and can be duplicated at both minority and majority serving institutions enabling greater comparisons across groups. Impact on Society: The results of this research help to shed light on a problem that desperately needs to be addressed by institutions of higher education, which is the realities of the digital divide and the under preparedness of entering college students in particular those who are from low income, first generation, and minority groups Future Research: A detailed quantitative survey study is being conducted that seeks to examine the technology uses, backgrounds, needs, interests, career goals, and professional expectations with respect to a range of currently relevant technologies.

Aim/Purpose: Most research on work-based learning and research relates to theory, including perspectives, principles and curricula, but few studies provide contemporary examples of work-based projects, particularly in the Australian context; this paper aims to address that limitation. Background: The Professional Studies Program at University of Southern Queensland is dedicated to offering advanced practice professionals the opportunity to self-direct organizational and work-based research projects to solve real-world workplace problems; two such examples in the Australian context are provided by this paper. Methodology: The paper employs a descriptive approach to analyzing these two work-based research projects and describes the mixed methods used by each researcher. Contribution: The paper provides examples of work-based research in (a) health, safety, and wellness leadership and its relation to corporate performance; and (b) investigator identity in the Australian Public Service; neither topic has been examined before in Australia and little, if anything, is empirically known about these topics internationally. Findings: The paper presents the expected outcomes for each project, including discussion of the ‘triple dividend’ of personal, organizational, and practice domain benefits; as importantly, the paper presents statements of workplace problems, needs and opportunities, status of the practice domain, background and prior learning of the researchers, learning objectives, work-based research in the practice domain, and lessons learned from research which can be integrated into a structured framework of advanced practice. Recommendations for Practitioners: This is a preliminary study of two work-based research projects in Australia; as these and other real-world projects are completed, further systematic and rigorous reports to the international educational community will reveal the granulated value of conducting projects designed to change organisations and concordant practice domains. Recommendation for Researchers: While introducing the basic elements of research methods and expected out-comes of work-based projects, examples in this paper give only a glimpse into the possible longer-term contributions such research can make to workplaces in Australia. Researchers, as a consequence, need to better understand the relationship between practice domains, research as a valuable investigative tool in workplaces, and organizational and social outcomes. Impact on Society: Work-based learning and research have been developed to not only meet the complex and changing demands of the global workforce but have been implemented to address real-world organizational problems for the benefit of society; this paper provides two examples where such benefit may occur. Future Research: Future research should focus on the investigation of triple-dividend outcomes and whether they are sustainable over the longer term.

Aim/Purpose: Work-based learning has been identified in the literature, and is established in academia and in the global worlds of work; however, an examination of work-based research, particularly at the doctoral level, has been less well articulated. Moreover, a paucity of published literature on either work-based research or Professional Studies means little is known about the dynamics and drivers of these domains. This study aims to begin addressing the shortfall in literature on work-based research and Professional Studies programs, using the program at University of Southern Queensland as an example Background: This paper examines work-based research in the context of the Professional Studies program at University of Southern Queensland in Australia, with which the authors are affiliated. Methodology: Analysis of work-based research includes discussion of ‘messy’ research environments and the changing nature of workplaces, along with the opportunities and challenges such environments pose for action researchers. Contribution: In addition to addressing a shortfall in the published literature on work-based research, the paper also contributes insight into the mechanisms used to promote reflective practice and the generation of professional artefacts. Findings: Often driven by altruism, work-based research as implemented in the Professional Studies program results in a so-called ‘triple dividend’, designed to benefit the individual researcher, work environment, and community of practice. Recommendations for Practitioners: To be successful contributors to work-based research, practitioners need to reflect carefully and deeply on experience, planning and outcomes, using what in this paper we call ‘micro-reflective’ (personal) and ‘macro-reflective’ (program) cycles of reflection. Recommendation for Researchers: In addition to generating new knowledge and expanding the frontiers of workplaces, work-based research is often motivated by complicated and wide-reaching imperatives; work-based researchers therefore need to consider the goals, objectives, priorities and vision of their work environments, as well as understand issues related to bias, ethical practice and the nature of insider research. Impact on Society: Work-based learning and research address the complexities, challenges and future demands of Australian workplaces along with the work, mobility and personal development needs of mid- to senior-career professionals. Future Research: In addition to the multitude of action research programs possible in work-places in Australia, more research is needed to understand higher education work-based learning and its relation to, and impact on, work-based research, particularly when applying mixed methods research to work environments.

Aim/Purpose: This study aims to uncover how Social Network Sites (SNSs) active users who are eager to be knowledgeable about a specific domain develop a professional identity, what practices they use, and how do SNSs afford professional identity development. Background: Some researchers have shown that SNSs play a central role in personal development, but there is a lack of studies tracing the actual role of SNSs affordances in professional identity development. Methodology: Seven participants were followed during a whole year; we examined their professional identity development based on data collected from interviews, cued retrospective reports, and online activities. Contribution: The study shows that SNSs create a new context for professional identity development, a context whose new characteristics bring specific actors to a spectacular development in their professional identity. Based on the findings we suggest a new framework of professional identity development with SNSs. Findings: We identified a wide range of activities and changes in the perceived professional identity. We found that there are four phases of SNS’s professional identity development. The study also uncovers the three aspects of identity development: self-presentation, around-the-clock sociality, and interaction with information. The model of professional development through intensive use of SNSs is validated by our reports on the actual behaviors afforded by SNSs. Recommendations for Practitioners: The conceptual framework displayed in the article can help educational institutions to implement SNSs in order to enhance professional identity development. Guidance will allow students to handle self-presentation, sociality, and information management. By doing so, the guides will help achieving meaningful SNS activities and encouraging students to be involved in their fields of interest, thereby enhancing their professional identity. Future Research: Future studies may examine the implementation of SNSs for the exploration process leading to identity development in various educational institutions. A few years longitudinal study may examine the lifelong professional identity development in varied SNSs. Moreover, in the COVID-19 world crisis when life is in digital spaces more than ever, it will be interesting to study the role of SNSs of professional identity development in the population that lost their jobs.

Aim/Purpose: The purpose of this study is to discover usage differences in task performance by students of different cultures, by examining procrastination patterns from a national cultural perspective and exploring the effect of multicultural virtual teamwork on students’ individual procrastination. Background: This study aims to examine higher-education entrepreneurial learning in the context of multicultural virtual teamwork, as performed during participation on a Global Entrepreneurship course. Methodology: The methodology consists of quantitative comparative data analytics preceding and subsequent to intercultural team activities. This research is based on analyses of objective data collected by Moodle, the LMS used in the In2It project, in its built-in log system from the Global Entrepreneurship course website, which offers students diverse entities of information and tasks. In the examined course, there were 177 participants, from three different countries: United Kingdom, France and Israel. The students were grouped into 40 multicultural virtual (not face-to-face) teams, each one comprised of participants from at least two countries. The primary methodology of this study is analytics of the extracted data, which was transferred into Excel for cleaning purposes and then to SPSS for analysis. Contribution: This study aims to discover the effects of multicultural teamwork on individual procrastination while comparing the differences between cultures, as there are only a few studies exploring this relation. The uniqueness of this study is using and analyzing actual data of student procrastination from logs, whereas other studies of procrastination in multicultural student teams have measured perceived procrastination, collected using surveys. Findings: The results show statistical differences between countries in procrastination of individual assignments before team working: students from UK were the most procrastinators and Israeli students were the least procrastinators, but almost all students procrastinated. However, the outcome of the teamwork was submitted almost without procrastination. Moreover, procrastination in individual assignments performed after finishing the multicultural teamwork dramatically decreased to 10% of the students’ prior individual procrastination. Recommendations for Practitioners: The results from this study, namely, the decline of the procrastination after the multicultural virtual teamwork, can be used by global firms with employees all over the world, working in virtual multicultural teams. Such firms do not need to avoid multicultural teams, working virtually, as they can benefit from this kind of collaboration. Recommendation for Researchers: These results can be also beneficial for academic researchers from different cultures and countries, working together in virtual multicultural teams. Impact on Society: Understanding the positive effect of virtual multicultural teamwork, in mitigating the negative tendency of students from diverse cultures to procrastinate, as concluded in this study, can provide a useful tool for higher education or businesses to mitigate procrastination in teamwork processes. It can also be used as an experiential learning tool for improving task performance and teamwork process. Future Research: The relation between procrastination and motivation should be further examined in relation to multicultural virtual teams. Further research is needed to explore the effect of multicultural virtual teamwork during the teamwork process, and the reasoning for this effect.