This paper presents the success story of the intuitive vision of an Information and Communication Technology (ICT) high school educator in South Africa. The growth and evolution of a Community of Practice towards a full-fledged living lab is investigated. A grounded theory study analyses the living lab concept and highlights some of the current challenges secondary high school ICT education face within the South African educational landscape. Some of the concepts, ideas, best practices, and lessons learned in the establishment and running of two web based technologies to support secondary school ICT subjects is discussed. The researchers present a motivation for the use of living labs to address some of the issues identified and highlights how the existing platforms fits into bigger design.

Aim/Purpose: This study was designed to examine the effectiveness of mentor’s work with immigrant children and adolescents at risk, using the Elements Way. Background: The New Media offers our “screen kids” a lot of information, many behavioral models, and a new type of social communication. The Elements Way is an educational method designed to enhance openness, development, breakthroughs, goal achievement, and transformation in the age of media and social networks. Methodology: The Elements Way was developed following research on communication in the diversified media, especially new media such as Facebook, WhatsApp, and television reality shows, and the study is an examination of the effectiveness of mentors’ work with immigrant children and adolescents at risk, using the Elements Way. All mentors had been trained in the Elements Way. The study population included 640 mentors working with immigrants’ children in Israel. The work was conducted in 2010-2013. The mixed-methods approach was selected to validate findings. Contribution: Empowering children and enhancing their ability to cope; Creating openness and sharing, making children more attentive to the significant adults in their lives; Supporting children who face the complex reality that characterizes our age. Findings: Significant differences were found in the mentors’ conduct with the children. Work programs were designed and implemented with care and consistency, and mentors succeeded in generating change within the children and achieving desired goals. Of the 640 participating mentors, 62 were not able to promote the child, and interviews with them revealed that their work with the children was not consistent with the Elements Way and began from a different vantage point. Recommendations for Practitioners: Success factors: Self-awareness and awareness of one’s surroundings. Empathy. Willingness to engage in significant interactions. Self-cleansing and self-reflection. Ability to engage in a personal and interpersonal dialogue. Ability to accept and contain the child. Cooperation with the child in creating a work program and assisting the child to achieve the goals that were set in the program. Recommendation for Researchers: Future studies should focus on analyzing the discussions of children and adolescents, to add depth to our insights regarding children and adolescents’ perception of the mentors’ work from their perspective. Impact on Society: Finding the “keys” to openness, development, goal achievement, and transformation in our work with “screen kids.” Future Research: Studies that are designed to examine the effectiveness of mentor’s work with immigrant children and adolescents at risk, using the Elements Way.

Aim/Purpose: The objective of this study is to understand how video lectures of the same length and content as the current face-to-face lectures can be designed and implemented to have a positive effect on student performance, particularly when there is a campus shutdown. Background: In a number of South African universities protests by the students are on the increase. Often, they lead to the cancellation of academic activities such as face-to-face classes and examinations. Methodology: A quasi-experimental design was used on two video lectures to (1) compare the performance of the students who did not watch the video lectures and those who watched the video lectures, (2) compare the performance of each student who watched the video lectures on the test topics covered in the videos and the test topics not covered in the videos, and (3) determine the factors that influence the effectiveness of the video lectures. Contribution: This study contributes to the literature by investigating the effectiveness of video lectures in improving student performance, the factors associated to the effectiveness of such lectures, and the complexity or simplicity of the two video lectures used, and by providing possible solutions to the challenges identified in relation to designing video lectures. Findings: In terms of student performance, there is no significant advantage arising from watching the video lectures for the students who watch the video lectures, as compared to those who did not watch the video lectures. It is also found that the student performance on the topics with video lectures is significantly associated to the students’ commitment, prior performance, the quality of the content, and the design of the videos. Recommendations for Practitioners: This study recommends how the accounting video lectures can be designed and highlights the environments in which the video lectures of the same length and content as the face-to-face lectures should not be used. Recommendation for Researchers: Researchers should replicate this study by using short length videos of better quality and appropriate length, which incorporate current issues, games, are interactive, and so forth. Impact on Society: This study examines the use of educational video lectures in order to minimise the impact of disruptions at university level. Future Research: Future studies may use randomly selecting treatment and control groups. They may consider a nationwide research or using qualitative interviews in examining the use of educational video lectures.

Aim/Purpose: The proposed Personal Knowledge Management (PKM) for Empowerment (PKM4E) Framework expands on the notions of the Ignorance Map and Matrix to support the educational and informing concept of a PKM system-in-progress. Background: The accelerating information abundance is depleting the very attention our cognitive capabilities are able to master, contributing to widening individual and collective opportunity divides. Support is urgently needed to benefit Knowledge Workers irrespective of space (developed/developing countries), time (study or career phase), discipline (natural or social science), or role (student, professional, leader). Methodology: The Design Science Research (DSR) project conceptualizing the PKM System (PKMS) aims to support a scenario of a ‘Decentralizing KM Revolution’ giving more power and autonomy to individuals and self-organized groups. Contribution: The informing-science-related approach synthesizes and visualizes concepts related to ignorance and entropy, learning and innovation, chance discovery and abduction to inform diverse audiences and potential beneficiaries. Findings: see Recommendation for Researchers Recommendations for Practitioners: The PKM4E learning cycles and workflows apply ‘cumulative synthesis’, a concept which convincingly couples the activities of researchers and entrepreneurs and assists users to advance their capability endowments via applied learning. Recommendation for Researchers: In substituting document-centric with meme-based knowledge bases, the PKMS approach merges distinctive voluntarily shared knowledge objects/assets of diverse disciplines into a single unified digital knowledge repository and provides the means for advancing current metrics and reputation systems. Impact on Society: The PKMS features provide the means to tackle the widening opportunity divides by affording knowledge workers with continuous life-long support from trainee, student, novice, or mentee towards professional, expert, mentor, or leader. Future Research: After completing the test phase of the PKMS prototype, its transformation into a viable PKM system and cloud-based server based on a rapid development platform and a noSQL-database is estimated to take 12 months.

Aim/Purpose: The objective of this research is to investigate the effectiveness of educational games on learning computer programming. In particular, we are examining whether allowing students to manipulate the underlying code of the educational games will increase their intrinsic motivation. Background: Young students are fond of playing digital games. Moreover, they are also interested in creating game applications. We try to make use of both of these facts. Methodology: A prototype was created to teach the fundamentals of conditional structures. A number of errors were intentionally included in the game at different stages. Whenever an error is encountered, students have to stop the game and fix the bug before proceeding. A pilot study was conducted to evaluate this approach. Contribution: This research investigates a novel approach to teach programming using educational games. This study is at the initial stage. Findings: Allowing the programming students to manipulate the underlying code of the educational game they play will increase their intrinsic motivation. Recommendations for Practitioners: Creating educational games to teach programming, and systematically allowing the players to manipulate the gaming logic, will be beneficial to the students. Recommendation for Researchers: This research can be extended to investigate how various artificial intelligence techniques can be used to model the gamers, for example, skill level. Impact on Society: The future generations of students should be able to use digital technologies proficiently. In addition, they should also be able to understand and modify the underlying code in the digital things (like Internet of Things).This research attempts to alleviate the disenchantment associated with learning coding. Future Research: A full scale evaluation – including objective evaluation using game scores – will be conducted. One-way MANOVA will be used to analyze the efficacy of the proposed intervention on the students’ performance, and their intrinsic motivation and flow experience.

Aim/Purpose: Although cassava is one of the crops that can be grown during the dry season in Northeastern Thailand, most farmers in the region do not know whether the crop can grow in their specific areas because the available agriculture planning guideline provides only a generic list of dry-season crops that can be grown in the whole region. The purpose of this research is to develop a predictive model that can be used to predict suitable areas for growing cassava in Northeastern Thailand during the dry season. Background: This paper develops a decision support system that can be used by farmers to assist them determine if cassava can be successfully grown in their specific areas. Methodology: This study uses satellite imagery and data on land characteristics to develop a machine learning model for predicting suitable areas for growing cassava in Thailand’s Nakhon-Phanom province. Contribution: This research contributes to the body of knowledge by developing a novel model for predicting suitable areas for growing cassava. Findings: This study identified elevation and Ferric Acrisols (Af) soil as the two most important features for predicting the best-suited areas for growing cassava in Nakhon-Phanom province, Thailand. The two-class boosted decision tree algorithm performs best when compared with other algorithms. The model achieved an accuracy of .886, and .746 F1-score. Recommendations for Practitioners: Farmers and agricultural extension agents will use the decision support system developed in this study to identify specific areas that are suitable for growing cassava in Nakhon-Phanom province, Thailand Recommendation for Researchers: To improve the predictive accuracy of the model developed in this study, more land and crop characteristics data should be incorporated during model development. The ground truth data for areas growing cassava should also be collected for a longer period to provide a more accurate sample of the areas that are suitable for cassava growing. Impact on Society: The use of machine learning for the development of new farming systems will enable farmers to produce more food throughout the year to feed the world’s growing population. Future Research: Further studies should be carried out to map other suitable areas for growing dry-season crops and to develop decision support systems for those crops.

Aim/Purpose: One of the most fascinating developments in computer user interfaces in recent years is the rise of “chatbots”. Yet extent information system (IS) curriculum lacks teaching resources on chatbots programming.. Background: To better prepare students for this new technological development and to enhance the IS curriculum, we introduce a project that teaches students how to program simple chatbots, including a transactional chatbot and a conversational chatbot. Methodology: We demonstrated a project that teaches students how to program two types of simple chatbots: a transactional chatbot and a conversational chatbot. We also conducted a survey to examine students’ perceptions on their learning experience. Findings: Our survey on students’ perception of the project finds that learning chatbots is deemed very useful because chatbot programming projects have enabled the students to understand the subject better. We also found that social influence has positively motivated the students to learn chatbot programming. Though most of the students have no prior experiences programming chatbots, their self-efficacy towards chatbot programming remained high after working through the programming project. Despite the difficult tasks, over 71% of respondents agree to various degrees that chatbot programming is fun. Though most students agree that chatbot programming is not easy to learn, more than 70% of respondents indicated that they will use or learn chatbots in the near future. The overwhelmingly positive responses are impressive given that this is the first time for the students to program and learn chatbots. Recommendations for Practitioners: In this article, we introduced a step by step project on teaching chatbot programming in an information systems class. Following the project instructions, students can get their first intelligent chatbots up and running in a few hours using Slack. This article describes the project in detail as well as students’ perceptions. Recommendations for Researchers: We used UTAUT model to measure students’ perception of the projects. This study could be of value to researchers studying students’ technology learning and adoption behaviors. Impact on Society: To our best knowledge, pedagogical resources that teach IS students how to program chatbots, especially the introductory level materials, are limited. We hope this teaching case could be of value for IS educators when introducing IS students to the wonderful field of chatbot programming. Future Research: For future work, we plan to expand the teaching resources to cover more advanced chatbot programming projects, such as on how to make chatbot more human-like.

Aim/Purpose: The need for Higher Education Institutions (HEIs) to maximize the use of their intellectual property and strategic resources for research and teaching has become ever more evident in recent years. Furthermore, little attention is paid in developing an enabling system that will facilitate knowledge transfer in the Research-Teaching Nexus (RTN). Hence, this study assesses the current state of practice in knowledge management of the nexus in higher education in Oman. It also explores the context of how Knowledge Management System (KMS) for the nexus can be designed and utilized by HEIs and challenges them to rethink their traditional approaches in managing their knowledge as-sets to boost individual and organizational learning. Background: This study provides a Knowledge Management-based framework and design of a knowledge management system that support the academic community towards the improvement of the nexus. This study sets out ideas from various academic and professional experts on how academic stakeholders in the higher education can improve and promote knowledge transfer and make better use of its knowledge and research assets for teaching and learning. It stressed the importance of having the knowledge assets or resources that can easily be pooled, accessed, and made available to its intended stakeholders. Methodology: Data were gathered from 29 out of 49 institutional quality audit reports of all HEIs in Oman. The panel comments were coded and analysed to extract valuable insights regarding the management of knowledge assets in research. Additionally, data were gathered from the institutional accreditation outcomes page of the same website. Manifest and latent content analyses were used in reporting the findings of the panel. Contribution: The study will contribute to a greater understanding and acceptance of Knowledge Management (KM) in higher education and extended the body of knowledge concerning knowledge management for the RTN. Findings: The reports revealed a very limited practice of the nexus in terms of people and culture, structure ad processes, and computing and web technologies. A few staff are involved in RTN work, there is an uneven understanding of the RTN among staff, limited joint research between staff and students are some of the reasons for this. Significantly, there is no explicit research framework or policy for the RTN, and systems and/or mechanisms are limited. Further-more, the reports did not account any use of computing and web technologies for the nexus. These limitations can lead to students with less academic, research, and graduate skills. Hence, this study presents a feature design of a KMS that incorporates various RTN best practices, as informed by the reports and literature. The design will allow the staff to utilize the research assets in the classroom, at the same time, engages students in research and scholarly under-takings. Recommendations for Practitioners: All HEIs must have a innovative system that integrates a formal agenda and approach, and set initiatives, strategies, policies, and procedures for knowledge management in utilizing research assets for teaching and learning. It must be designed so that RTN practices remain up-to-date, relevant, and responsive to the needs of the stakeholders, as well as, address academic accreditation challenges. Recommendation for Researchers: Researchers can evaluate the knowledge management of RTN practices of other HEIs outside of Oman to effectively recommend the proper course of action for teaching and learning improvement. Impact on Society: This study will redefine the role and contribution of HEIs, which are key players in advancing a knowledge economy. HEIs are expected to be powerhouses where academic knowledge is discovered, created, disseminated, shared, and re-invented. They must be able to fully grasp the value of managing knowledge to be able to effect positive and purposeful change to the community. Future Research: Future work should include staff and student surveys that examine the knowledge management need of the learning organization to better inform the design of a KMS for the RTN. Thereafter, future research can test the stage to test the effectiveness of the conceptual design.

Aim/Purpose. This study captures and describes the discrepancies in the performance matrices of comparable Chinese and American scholars as recorded by Scopus. Background. The contributions of Chinese scholars to the global knowledge enterprise are increasing, whereas indexing bibliometric databases (e.g., Scopus) are not optimally designed to track their names and record their work precisely. Methodology. Coarsened exact matching was employed to construct two samples of comparable Chinese and American scholars in terms of gender, fields of work, educational backgrounds, experience, and workplace. Under 200 scholars, around a third being Chinese and the rest American scholars, were selected through this data construction method. Statistical tests, including logit regressions, Poisson regression, and fractional response models, were applied to both samples to measure and verify the discrepancies stored within their Scopus accounts. Contribution. This study complicates the theory of academic identity development, especially on the intellectual strand, as it shows ethnic scholars may face more errors in how their track records are stored and presented. This study also provides inputs for the discussion of algorithmic discrimination from the academic context and to the scientific community. Findings. This paper finds that Chinese scholars are more prone to imprecise records in Scopus (i.e., more duplicate accounts, a higher gap between the best-statistic accounts, and the total numbers of publications and citations) than their American counterparts. These findings are consistent across two samples and with different statistical tests. Recommendations for Practitioners. This paper suggests practitioners and administrators at research institutions treat scholars’ metrics presented in Scopus or other bibliometric databases with caution while evaluating ethnic scholars’ contributions. Recommendations for Researchers. Scholars and researchers are suggested to dedicate efforts to monitoring their accounts on indexing bibliometric platforms. Impact on Society. This paper raises awareness of the barriers that ethnic scholars face in participating in the scientific community and being recognized for their contributions. Future Research. Future research can be built on this paper by expanding the size of the analytical samples and extending similar analyses on comparable data harvested from other bibliometric platforms.