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Market Segmentation based on Risk of Misinforming Reduction




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Addressing Knowledge Support Services as Part of a Living Lab Environment




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Teaching Undergraduate Software Engineering Using Open Source Development Tools




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How Business Departments Manage the Requirements Engineering Process in Information Systems Projects in Small and Medium Enterprises




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Using Youtube© in the Classroom for the Net Generation of Students




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The Role of Warranty of Misinforming for New Product Adoption




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A Framework for Using Questions as Meta-tags to Enhance Knowledge Support Services as Part of a Living Lab Environment




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Analyzing Computer Programming Job Trend Using Web Data Mining




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Software Development Using C++: Beauty-and-the-Beast




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Warranty of Misinforming: An Overview




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Experiences with Using Videos in Distance Education. A Pilot Study: A Course on Human-Computer Interaction

The number of online resources available for teaching and learning in higher education has been growing enormously during the last decade. A recent development is the emergence of Massive Open Online Courses (MOOCs) and of Open Educational Resources (OER). The result is a huge number of videos that are available on line. Can these videos enrich learning? As a pilot study we added sixteen videos to an existing introductory course in Human-Computer Interaction. This course is mandatory in the Bachelor programs Computer Science and Information Science (second year). Watching the videos was optional for the students. The videos originated for the most part from the MOOC Human-Computer Interaction, produced by Stanford University. We offered this course to a pilot group of eight students. The educational context was problem-based learning in distance education. The videos were welcomed by all of the students and were found to be useful in their learning process. The students watched the videos intensively and appreciated them very well. A main reason for the students to be positive about the videos was that they liked to alternate reading texts and watching videos.




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Factors Driving Business Intelligence Culture

The field of business intelligence (BI), despite rapid technology advances, continues to feature inadequate levels of adoption. The attention of researchers is shifting towards hu-man factors of BI adoption. The wide set of human factors influencing BI adoption con-tains elements of what we call BI culture – an overarching concept covering key managerial issues that come up in BI implementation. Research sources provide different sets of features pertaining to BI culture or related concepts – decision-making culture, analytical culture and others. The goal of this paper is to perform the review of research and practical sources to examine driving forces of BI – data-driven approaches, BI agility, maturity and acceptance – to point out culture-related issues that support BI adoption and to suggest an emerging set of factors influencing BI culture.




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Student Preferences and Performance in Online and Face-to-Face Classes Using Myers-Briggs Indicator: A Longitudinal Quasi-Experimental Study

This longitudinal, quasi-experimental study investigated students’ cognitive personality type using the Myers-Briggs personality Type Indicator (MBTI) in Internet-based Online and Face-to-Face (F2F) modalities. A total of 1154 students enrolled in 28 Online and 32 F2F sections taught concurrently over a period of fourteen years. The study measured whether the sample is similar to the national average percentage frequency of all 16 different personality types; whether specific personality type students preferred a specific modality of instructions and if this preference changed over time; whether learning occurred in both class modalities; and whether specific personality type students learned more from a specific modality. Data was analyzed using regression, t-test, frequency, and Chi-Squared. The study concluded that data used in the study was similar to the national statistics; that no major differences in preference occurred over time; and that learning did occur in all modalities, with more statistically significant learning found in the Online modality versus F2F for Sensing, Thinking, and Perceiving types. Finally, Sensing and Thinking (ST) and Sensing and Perceiving (SP) group types learned significantly more in Online modality versus F2F.




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Using Office Simulation Software in Teaching Computer Literacy Using Three Sets of Teaching/Learning Activities

The most common course delivery model is based on teacher (knowledge provider) - student (knowledge receiver) relationship. The most visible symptom of this situation is over-reliance on textbook’s tutorials. This traditional model of delivery reduces teacher flexibility, causes lack of interest among students, and often makes classes boring. Especially this is visible when teaching Computer Literacy courses. Instead, authors of this paper suggest a new active model which is based on MS Office simulation. The proposed model was discussed within the framework of three activities: guided software simulation, instructor-led activities, and self-directed learning activities. The model proposed in the paper of active teaching based on software simulation was proven as more effective than traditional.




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Flipped Classroom: A Comparison Of Student Performance Using Instructional Videos And Podcasts Versus The Lecture-Based Model Of Instruction

The authors present the results of a study conducted at a comprehensive, urban, coeducational, land-grant university. A quasi-experimental design was chosen for this study to compare student performance in two different classroom environments, traditional versus flipped. The study spanned 3 years, beginning fall 2012 through spring 2015. The participants included 433 declared business majors who self-enrolled in several sections of the Management Information Systems course during the study. The results of the current study mirrored those of previous works as the instructional method impacted students’ final grade. Thus, reporting that the flipped classroom approach offers flexibility with no loss of performance when compared to traditional lecture-based environments.




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Representations of Practice – Distributed Sensemaking Using Boundary Objects

Aim/Purpose: This article examines how learning activities draw on resources in the work context to learn. Background The background is that if knowledge no longer is seen mainly as objects, but processes, how then to understand boundary objects? Our field study of learning activities reveals the use of pictures, documents and emotions for learning in the geographically distributed Norwegian Labor Inspection Authority Methodology: The study is a qualitative study consisting of interview data, observation data, and documents. Contribution: Contribute to practice based theorizing. Findings: Three ideal types of representing practices have been identified, i.e., ‘Visualizing’, ‘Documenting’ and ‘Testing’. All three are combined with storytelling, sensing, reflections and sensemaking, which point at the importance of processes in learning. The article also add insights about how emotions can be an important resource for boundary spanning – and sensemaking – by creating the capability of reflecting upon and integrating different knowledge areas in the in- practice context. Recommendations for Practitioners: Look for boundary objects within your field to promote online learning. Recommendation for Researchers: Study boundary objects in work context to understand learning. Impact on Society Role of objects in human learning. Future Research: Focus on how emotions can be used for online learning.




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Assessing the Affordances of SimReal+ and their Applicability to Support the Learning of Mathematics in Teacher Education

Aim/Purpose: Assess the affordances and constraints of SimReal+ in teacher education Background There is a huge interest in visualizations in mathematics education, but there is little empirical support for their use in educational settings Methodology: Single case study with 22 participants from one class in teacher education. Quantitative and qualitative methods to collect students’ responses to a survey questionnaire and open-ended questions Contribution: The paper contributes to the understanding of affordances and constraints of visualization tools in mathematics education Findings: The visualization tool SimReal+ has potential for learning mathematics in teacher education, but the user interface should be improved to make it more usable for different users. Teachers need to consider technological and pedagogical affordances of SimReal+ at the student, classroom, and mathematics subject level Recommendations for Practitioners: Address technological and pedagogical affordances of SimReal+ Recommendation for Researchers: Improve the design of SimReal+ to make it technologically and pedagogically more usable Impact on Society: Understand the affordances and constraints of visualization tools in education Future Research: Implement a next cycle of experimentation with SimReal+ in teacher education to ensure more validity and reliability




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Increasing Intrinsic Motivation of Programming Students: Towards Fix and Play Educational Games

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.




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Medical Image Security Using Quantum Cryptography

Aim/Purpose: Medical images are very sensitive data that can be transferred to medical laboratories, professionals, and specialist for referral cases or consultation. Strict security measures must be utilized to keep these data secured in computer networks when transferred to another party. On a daily basis, unauthorized users derive ways to gain access to sensitive patient medical information. Background: One of the best ways to which medical image could be kept secured is through the use of quantum cryptography Methodology : Applying the principles of quantum mechanics to cryptography has led to a remarkable new dimension in secured network communication infrastructure. This enables two legitimate users to produce a shared secret random bit string, which can be used as a key in cryptographic applications, such as message encryption and authentication. Contribution: This paper can make it possible for the healthcare and medical professions to construct cryptographic communication systems to keep patients’ transferred data safe and secured. Findings: This work has been able to provide a way for two authorized users who are in different locations to securely establish a secret network key and to detect if eavesdropping (a fraudulent or disruption in the network) has occurred Recommendations for Practitioners: This security mechanism is recommended for healthcare providers and practitioners to ensure the privacy of patients’ medical information. Recommendation for Researchers: This paper opens a new chapter in secured medical records Impact on Society Quantum key distribution promises network security based on the fundamental laws of quantum mechanics by solving the problems of secret-key cryptography . Future Research: The use of post-quantum cryptography can be further researched.




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Predicting Suitable Areas for Growing Cassava Using Remote Sensing and Machine Learning Techniques: A Study in Nakhon-Phanom Thailand

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.




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Virtual Pathology Learning Resource: A Promising Strategy in Teaching Pathology to Allied Health Science Students

Aim/Purpose: The objective of this study was to concept test a new instructional aid called Virtual Pathology Learning Resource (VPLR), which was used as a vehicle to communicate information and enhance teaching and learning of basic sciences (Anatomy, Physiology, and Pathology) to allied health science students at a South Australian university. Background: Pathology was traditionally taught using potted specimens to review disease manifestations independently. However, this approach was found inadequate and ineffective. VPLR is a new teaching platform comprising of digitised human normal and human pathology specimens (histology, histopathology), patient case studies, short answer and critical thinking questions, and self-assessment quizzes. Using authentic learning theory as an educational pedagogy, this learning resource was developed to enhance the teaching and learning of Pathology. Methodology: Cross-sectional study design was used. A survey, given at the end of the course, gathered qualitative and quantitative data concerning the perceptions and experiences of the students about VPLR and its components. The online tool SurveyMonkey was utilised so that students could respond anonymously to a web link that displayed the questionnaire. The perceived impact on students was assessed using an 18-item questionnaire seeking agreement or disagreement with statements about VPLR, multiple choice and open-ended questions querying the best things about VPLR, benefits to be derived, and areas for improvement. Descriptive and frequency analyses were performed. Contribution: The VPLR approach involved rich learning situations, contextualised content, and facilitated greater understanding of disease concepts and problems. Findings: In a sample of 103 Medical Radiation students, 42% of students (N=43) responded to the post-intervention survey. The majority of students reported highly positive effects for each component of the VPLR. The overall results indicated that this tool was a promising strategy in teaching Pathology as it assisted students’ gaining knowledge of the science, facilitated connections between sciences, and allowed students to make better links with professional practice and skills. Recommendations for Practitioners: As students found VPLR to be beneficial, it is recommended that the same approach is applied for the teaching of Pathology to other health science students, such as Nursing. Other universities might consider adopting the innovation for their courses. Recommendation for Researchers: Applying VPLR to teaching other allied health science students will be undertaken next. The innovation will be appropriate for other health science students with particular emphasis on case-based or problem-based learning and combined with clinical experiences. Impact on Society: In reshaping the way of teaching a science course, students are benefited with greater depth of understanding of content and increase motivation to study. These are important to keep students engaged and ready for practice. VPLR may impact on education and technology trends so that exploration and possibilities of initiatives are ongoing to help students become successful learners. Other impacts are the new forms of learning discovered, the renewed focus on group work and collaboration, and maximising the use of technology in innovation. Future Research: Future directions of this research would be to conduct a follow-up of this cohort of students to determine whether the impacts of the innovation were durable, meaning the change in perceptions and behaviour is sustained over time.




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Transforming a First-year Accounting Course Using a Blended Learning Pathway

Aim/Purpose: Blended learning can transform students experience and learning in higher education. Although the literature extensively explores benefits of blended learning, limited research exists to provide a detailed design principle for implementing instructional activities in blended courses and its usage as tool to influence learning outcomes for second language first year accounting learners. Background: The objective of this study is to find out how the learning experience of students was impacted and by designing and implementing blended learning and connectivity between online and face-to-face learning. This paper reviews the challenges and benefits of blended learning and highlights teachers’ and students’ perceptions on the impact of the connectivity of online and face-to-face activities on students’ learning. Methodology: Data was collected from students enrolled in the course using an open-ended questionnaire. There were 220 respondents, representing a response rate of 65%. Data was extracted from the online learning data and grade center. Teachers’ experiences and observations were also noted. The survey results were analyzed using content analysis. Contribution: Research focusing on blended learning design and implementation is limited, and there is no one size fits all when it comes to blended learning. Consequently, this paper contributes to the discussion by highlighting how second language, first-year accounting students benefit from blended learning and the connectivity between online and face-to-face activities. Increased flexibility for learners appears to be one of the most cited rationale for the combination of traditional with online instructional methods, however, this study evaluates blended learning as a tool for transforming the learning experience of second language, first year accounting students. Findings: Findings show that students benefit from blended learning, and connectivity between online and in-class activities allows students to exploit the advantages of both online and face-to-face learning. Students can see the relevance of what they are doing online and how that contributes to their in-class activities and, hence, are motivated to complete the activities. Recommendations for Practitioners: Educators should use a well-designed blended learning pathway to empower students to be in charge of their learning. Placing materials online creates more and better opportunities for engaging students in class. Institutional support is important when implementing blended learning. Recommendations for Researchers: There is a need for more studies on blended learning design and implementation. Future researchers may carry out more studies on how blended learning design affects student engagement and learning for second language learners in other courses. Impact on Society: A blended learning pathway would greatly benefit second language learners to learn better and empower them to be more independent as a self-directed learner who is able to utilize their time wisely. Community of practice is an excellent platform to encourage teaching teams to work together and create innovative teaching and assessment materials. Future Research: Future studies may carry out the study using other methods for example quantitative surveys and interviews to get a deeper understanding of both students and teachers’ perceptions and experiences.




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Virtually There: The Potential, Process and Problems of Using 360° Video in the Classroom

Aim/Purpose: This paper presents an exploratory case study into using 360° videos to present small segments of lecture content for IT students in an Australian University. The aim of this study was to understand; what is the impact of incorporating 360° videos into class content for students and teaching staff? In this study the 360° videos are described as “learning atoms”. Learning atoms are short duration videos (1 to 5 minutes) captured in 360°. Background: Within this paper we conducted experiments in the classroom using 360° videos to determine if they have an impact on student's feeling of presence with class content. Additionally, to follow up, how does the inclusion of 360° impact on the teaching experience. Methodology: The methodology used in this study focused on both quantitative and qualita-tive aspects. Data was captured at the same time during the teaching period to address the research questions. In order to gauge the feeling of presence within the classroom a short survey was administered to students in the undergraduate IT class at the start (pre) and end (post) of the semester using the same questions to measure any change. Contribution: The main contributions from this study were that we demonstrated there is a potential for providing an alternative ‘immersive’ content presentation for students. This alternative content took the form of 360° learning atoms, whereas further showed our nuance process for creating and publishing of these atoms. Findings: The results show that for students, learning atoms can help improve the sense of presence, particularly for remote students, however the interactive experience can take student’s attention away from the lecturer. The results present potential for providing an alternative ‘immersive’ content presentation for students, however problems for uptake are present for both students and teachers, such as image capture quality and file size Impact on Society: We foresee this approach as being a new approach to teaching students in higher education within online spaces to increase engagement and move towards having a richer virtual experience no matter the location. Future Research: Future research will be conducted to resolve whether presence and engagement is supported by the inclusion of 360° videos in the classroom.




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Business Priorities Driving BYOD Adoption: A Case Study of a South African Financial Services Organization

Aim/Purpose: Bring your own device (BYOD) provides opportunities for both the organization and employees, but the adoption of BYOD also introduces risks. This case study of an organization’s BYOD program identifies key positive and negative influences on the adoption decision. Background: The consumerization of IT introduced the BYOD phenomenon into the enterprise environment. As mobile and Internet technologies improve employees are opting to use their personal devices to access organizational systems to perform their work tasks. Such devices include smartphones, tablets and laptop computers. Methodology: This research uses a case study approach to investigate how business priorities drive the adoption of BYOD and how resulting benefits and risks are realized and managed by the organization. Primary empirical data was collected using semi-structured interviews with 15 senior employees from a large South African financial services organization. Policy documents from the organization were analyzed as secondary data. Contribution: Thematic analysis of the data revealed six major themes: improving employee mobility; improving client service and experience; creating a competitive industry advantage; improving business processes; information security risks; and management best practices. Findings: The themes were analyzed using the Technology-Organization-Environment (TOE) framework, showing the key positive and negative influences on the adoption decision. Recommendations for Practitioners: Organizations need to clearly understand the reasons they want to introduce BYOD in their organizations. The conceptual framework can be applied by practitioners in their organizations to achieve their BYOD business objectives. Recommendations for Researchers: BYOD remains an important innovation for organizations with several aspects worthy of further study. The TOE framework presents a suitable lens for analysis, but other models should also be considered. Impact on Society: The findings show that organizations can use BYOD to improve client service, gain competitive advantage, and improve their processes using their digital devices and backend systems. The BYOD trend is thus not likely to go away anytime soon. Future Research: The applicability of findings should be validated across additional contexts. Additional models should also be used.




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Combining Summative and Formative Evaluation Using Automated Assessment

Aim/Purpose: Providing both formative and summative assessment that allows students to learn from their mistakes is difficult in large classes. This paper describes an automated assessment system suitable for courses with even 100 or more students. Background: Assessment is a vital part of any course of study. Ideally students should be given formative assessment with feedback during the course so students and tutors can identify weaknesses and focus on what needs improvement before summative assessment, which results in a grade. This paper describes and automated assessment system that lessens the burden of providing formative assessment in large classes. Methodology: We used Checkpoint, a web-based automated assessment system, to grade assignments in a number of different computer science courses. Contribution: The students come from diverse backgrounds, with a wide range of ages, previous qualifications and technical skills, and our approach allows the students to work at their own pace according to their individual needs, submitting their solutions as many times as they wish up to a deadline, using feedback provided by the system to help identify and correct their mistakes before trying again. Findings: Use of automated assessment allows us to achieve the goals of both summative and formative assessment: we allow students to learn from their mistakes without incurring a penalty, while at the same time awarding them a grade to validate their efforts. The students have an overwhelmingly positive view about our use of automated assessment, and their comments support our views on the assessment process. Recommendations for Practitioners: Because of the increasing number of students in today’s courses, we recommend using automated assessment wherever possible.




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Assessing the Graphic Questionnaire Used in Digital Literacy Training

Aim/Purpose: To capture digital training experiences, the paper introduces a novel data collection method – a graphic questionnaire. It aims to demonstrate the opportunities and limitations of this tool for collecting feedback from socially disadvantaged participants of digital literacy training about their progress. Background: In training of digital skills for disadvantaged audiences through informal educational interventions, it is important to get sufficient knowledge on factors that lead to their progress in the course of training. There are many tools to measure the achievements of formal education participants, but assessing the effectiveness of informal digital skills training is researched less. The paper introduces a small-scale case study of the training programme aimed at the developing of reading and digital skills among the participants from three socially disadvantaged groups – people with hearing impairments, children from low income families, and elderly persons. The impact of the training on participants was evaluated using different tools, including a short graphic questionnaire to capture the perceptions of the participants after each training. Methodology: We performed a thematic analysis of graphic questionnaires collected after each training session to determine how the students perceived their progress in developing literacy and digital skills. Contribution The findings of the paper can assist in designing assessment of digital literacy programmes that focus not only on final results, but also on the process of gaining digital skills and important factors that facilitate progress. Findings: The graphic questionnaire allowed the researchers to get insights into the perception of acquired skills and progressive achievements of the participants through rich self-reports of attitudes, knowledge gained, and activities during training sessions. However, the graphic questionnaire format did not allow the collection of data about social interaction and cooperation that could be important in learning. Recommendations for Practitioners: Graphic questionnaires are useful and easy-to-use tools for getting rich contextual information about the attitudes, behaviour, and acquisition of knowledge in digital literacy training. They can be used in applied assessments of digital literacy training in various settings. Their simplicity can appeal to respondents; however, in the long-run interest of respondents in continuing self-reports should be sustained by additional measures. Recommendations for Researchers: Researcher may explore the variety of simple and attractive research instruments, such as “honeycomb” questionnaires and similar, to facilitate data collection and saturate feedback with significant perception of personal experiences in gaining digital literacy skills. Impact on Society: Designing effective digital literacy programmes, including engaging self-assessment methods and tools, aimed at socially disadvantaged people will contribute to their digital inclusion and to solving the issues of digital divide. Future Research: Exploration of diverse research methods and expanding the research toolset in assessing digital literacy training could advance our understanding of important processes and factors in gaining digital skills.




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Findings From an Examination of a Class Purposed to Teach the Scientific Method Applied to the Business Discipline

Aim/Purpose: This brief paper will provide preliminary insight into an institutions effort to help students understand the application of the scientific method as it applies to the business discipline through the creation of a dedicated, required course added to the curriculum of a mid-Atlantic minority-serving institution. In or-der to determine whether the under-consideration course satisfies designated student learning outcomes, an assessment regime was initiated that included examination of rubric data as well as the administration of a student perception survey. This paper summarizes the results of the early examination of the efficacy of the course under consideration. Background: A small, minority-serving, university located in the United States conducted an assessment and determined that students entering a department of business following completion of their general education science requirements had difficulties transferring their understanding of the scientific method to the business discipline. Accordingly, the department decided to create a unique course offered to sophomore standing students titled Principles of Scientific Methods in Business. The course was created by a group of faculty with input from a twenty person department. Methodology: Rubrics used to assess a course term project were collected and analyzed in Microsoft Excel to measure student satisfaction of learning goals and a student satisfaction survey was developed and administered to students enrolled in the course under consideration to measure perceived course value. Contribution: While the scientific method applies across the business and information disciplines, students often struggle to envision this application. This paper explores the implications of a course specifically purposed to engender the development and usage of logical and scientific reasoning skills in the business discipline by students in the lower level of an bachelors degree program. The information conveyed in this paper hopefully makes a contribution in an area where there is still an insufficient body of research and where additional exploration is needed. Findings: For two semesters rubrics were collected and analyzed representing the inclusion of 53 students. The target mean for the rubric was a 2.8 and the overall achieved mean was a 2.97, indicating that student performance met minimal expectations. Nevertheless, student deficiencies in three crucial areas were identified. According to the survey findings, as a result of the class students had a better understanding of the scientific method as it applies to the business discipline, are now better able to critically assess a problem, feel they can formulate a procedure to solve a problem, can test a problem-solving process, have a better understanding of how to formulate potential business solutions, understand how potential solutions are evaluated, and understand how business decisions are evaluated. Conclusion: Following careful consideration and discussion of the preliminary findings, the course under consideration was significantly enhanced. The changes were implemented in the fall of 2020 and initial data collected in the spring of 2021 is indicating measured improvement in student success as exhibited by higher rubric scores. Recommendations for Practitioners: These initial findings are promising and while considering student success, especially as we increasingly face a greater and greater portion of under-prepared students entering higher education, initiatives to build the higher order thinking skills of students via transdisciplinary courses may play an important role in the future of higher education. Recommendations for Researchers: Additional studies of transdisciplinary efforts to improve student outcomes need to be explored through collection and evaluation of rubrics used to assess student learning as well as by measuring student perception of the efficacy of these efforts. Impact on Society: Society needs more graduates who leave universities ready to solve problems critically, strategically, and with scientific reasoning. Future Research: This study was disrupted by the COVID-19 pandemic; however, it is resuming in late 2021 and it is the hope that a robust and detailed paper, with more expansive findings will eventually be generated.




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Machine Learning-based Flu Forecasting Study Using the Official Data from the Centers for Disease Control and Prevention and Twitter Data

Aim/Purpose: In the United States, the Centers for Disease Control and Prevention (CDC) tracks the disease activity using data collected from medical practice's on a weekly basis. Collection of data by CDC from medical practices on a weekly basis leads to a lag time of approximately 2 weeks before any viable action can be planned. The 2-week delay problem was addressed in the study by creating machine learning models to predict flu outbreak. Background: The 2-week delay problem was addressed in the study by correlation of the flu trends identified from Twitter data and official flu data from the Centers for Disease Control and Prevention (CDC) in combination with creating a machine learning model using both data sources to predict flu outbreak. Methodology: A quantitative correlational study was performed using a quasi-experimental design. Flu trends from the CDC portal and tweets with mention of flu and influenza from the state of Georgia were used over a period of 22 weeks from December 29, 2019 to May 30, 2020 for this study. Contribution: This research contributed to the body of knowledge by using a simple bag-of-word method for sentiment analysis followed by the combination of CDC and Twitter data to generate a flu prediction model with higher accuracy than using CDC data only. Findings: The study found that (a) there is no correlation between official flu data from CDC and tweets with mention of flu and (b) there is an improvement in the performance of a flu forecasting model based on a machine learning algorithm using both official flu data from CDC and tweets with mention of flu. Recommendations for Practitioners: In this study, it was found that there was no correlation between the official flu data from the CDC and the count of tweets with mention of flu, which is why tweets alone should be used with caution to predict a flu out-break. Based on the findings of this study, social media data can be used as an additional variable to improve the accuracy of flu prediction models. It is also found that fourth order polynomial and support vector regression models offered the best accuracy of flu prediction models. Recommendations for Researchers: Open-source data, such as Twitter feed, can be mined for useful intelligence benefiting society. Machine learning-based prediction models can be improved by adding open-source data to the primary data set. Impact on Society: Key implication of this study for practitioners in the field were to use social media postings to identify neighborhoods and geographic locations affected by seasonal outbreak, such as influenza, which would help reduce the spread of the disease and ultimately lead to containment. Based on the findings of this study, social media data will help health authorities in detecting seasonal outbreaks earlier than just using official CDC channels of disease and illness reporting from physicians and labs thus, empowering health officials to plan their responses swiftly and allocate their resources optimally for the most affected areas. Future Research: A future researcher could use more complex deep learning algorithms, such as Artificial Neural Networks and Recurrent Neural Networks, to evaluate the accuracy of flu outbreak prediction models as compared to the regression models used in this study. A future researcher could apply other sentiment analysis techniques, such as natural language processing and deep learning techniques, to identify context-sensitive emotion, concept extraction, and sarcasm detection for the identification of self-reporting flu tweets. A future researcher could expand the scope by continuously collecting tweets on a public cloud and applying big data applications, such as Hadoop and MapReduce, to perform predictions using several months of historical data or even years for a larger geographical area.




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Using Teach Back Tutorials to Overcome Pandemic Learning Gaps

Aim/Purpose: The purpose of this paper is to address the issue of gaps in students’ knowledge at the time they enter a comprehensive Information Systems cap-stone course. This problem of knowledge gaps was exacerbated by the forced remote learning and isolation caused by the COVID-19 pandemic. The aim was to find a technique that would identify and fill those gaps. Ideally, the method would also reinforce the students’ interpersonal soft skills. Background: Many universities have a capstone course where students may apply their knowledge from the curriculum to a project, and they are evaluated on their retention of knowledge from the core classes. Over the past two years, students have experienced course interruptions and modifications due to the pandemic, resulting in learning gaps on topics covered in the core courses. Depending on the project’s scope and curriculum, this may prevent students from conversing on many essential concepts during the capstone course. By requiring students to create “Teach Back” tutorials on materials from their core courses, faculty may ensure that the key concepts are discussed multiple times within the curriculum. Methodology: We present a case study to identify key concepts and compare cohort results before and after implementation. Contribution: A process for identifying potential knowledge gaps is identified, and a method to repeatedly expose students to concepts is introduced. Findings: There were improvements to the overall capstone scores after the tutorial implementation. While many factors influence changes in scores across cohorts, the initial findings are promising, supporting the concept that teaching back helps to close knowledge gaps. Recommendations for Practitioners: Faculty should collaborate to identify knowledge areas that need to be rein-forced later in their students’ academic careers. Teaching back essential concepts that may not be prioritized in implementing a capstone project ensures a repeated exposure to the identified concepts. Recommendations for Researchers: There needs to be a priority to teach students to be lifelong learners and to teach the skills needed to share their knowledge with future coworkers. There needs to be more research into a pedagogy that builds these essential soft skills within our curriculum. Finally, research into alumni feedback on course topics and pedagogy is needed. Impact on Society: Introducing pedagogy that improves both knowledge and soft skills, this re-search looks to build individuals who will learn independently and be able to communicate with and improve others. Future Research: There needs to be additional research to study the changes in technical knowledge before and after Teach Back, the consequences of elective sequencing, the consideration of elective versus required courses, and the use of Teach Back to capture student knowledge gained from completing diverse electives prior to the capstone course.




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Impact of Gender on Perceived Work Climate in Business Information Systems

Aim/Purpose: The low proportion of women currently working in the field of business information systems presents an opportunity to attract more women to this field. For example, in Germany, the proportion of women studying business information systems is currently 21%, compared to 48% in business administration (Statistisches Bundesamt, 2020). Which characteristics make the professional field of business information systems appear attractive to women and men – and which characteristics do not? Background: Studies on careers in business information systems are important to mitigate the long-lasting shortage of IT specialists, yet research is limited in this area. Methodology: To capture empirical data, graduates of the Business Information Systems program at the University of Applied Sciences in Hannover were surveyed. Contribution: The results show that women and men perceive the work climate and working conditions very differently and are also satisfied to a different extent. Characteristics of the work climate place significantly more restrictions on satisfaction for women than for men. Women primarily criticize characteristics that can be described as involving “a lack of fairness”. Findings: The differences in perceived work climate may negatively impact the proportion of women in business information systems. A number of measures have already been established to support women in coping better with the prevailing climate. However, some measures bear the risk that women are thus accused of assimilating to the prevailing climate. This can seem pre-sumptuous since the dominant male culture is taken for granted and “set”. Measures for team-building and personnel development appear to be more suitable if these address the actual values and norms of teamwork, question them where necessary, and change them for everyone. Recommendations for Practitioners: Women’s career goals are clearly different from men’s goals, and women do not achieve goals with high priority very well. Work climate is perceived more critically by women than by men: less fair, less supportive. Advantages of diversity and plurality are put at risk if women should put aside their different “other” perceptions of cooperation and negotiation in order to act according to the rules of the male-dominated system. Impact on Society: Studies on careers in business information systems are important to mitigate the longer-lasting shortage of IT specialists. The low proportion of women currently working in IT presents an opportunity to attract more women to business information systems.




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Educational Card Games: One Way of Assisting the Communication Skills Development of Nursing Students Whose First Language is Not English

Aim/Purpose. This study seeks to determine the impact of a card game intervention in improving the English verbal communication of nursing students from culturally and linguistically diverse backgrounds. Background. Many international students studying in Australia experience setbacks in their university studies due to English language difficulties. This paper outlines how an educational card game designed can be played by nursing students from culturally and linguistically diverse (CALD) backgrounds as an intervention for their English verbal communication development. Methodology. The study used a descriptive qualitative approach to analyse the learning experiences of forty-five (N=45) nursing students from CALD backgrounds undertaking their second semester at a metropolitan university in Victoria, Australia after being introduced to an educational card game developed by the first author. The card game was designed to explore the use of English pragmatic markers, which are words, phrases, or verbal cues that signal or emphasise the intentions of the speaker. Following the intervention, participants were queried in a survey about their experiences with English language speaking and how the game improved their verbal communication skills. Contribution. This paper provides knowledge about how a game can be designed to enhance the English verbal communication skills of nursing students from CALD backgrounds which could help them in their clinical placements and their adjustment into Australian society. Findings. Three intertwining themes that emerged from the data analysis were education content, skills development, and fun and creativity. These themes signify the importance of providing opportunities for learners to creatively practise the educational content in simulative contextualised situations within a safe, comfortable, and inclusive learning environment. Recommendations for Practitioners. Educators still need to consider the importance of inclusivity of students from culturally and linguistically diverse (CALD) backgrounds as part of successful integration into the culture of their host countries. Recommendations for Researchers. The findings emphasise the need for educators and researchers to understand the challenges facing these students in relation to marginalisation and discrimination and how they can design an intervention that is engaging and inclusive. Impact on Society. The findings also put forward the awareness of pragmatics as part of both English language learning and integration into the society of a host country as students learn how to express intention appropriately in various interactions. Furthermore, the themes presented in this paper suggest that not only should an educational game or an intervention contain relevant educational content and practical activities for skills development, but they must also be enjoyable by encouraging creativity and social interaction. Future Research. The results of this study also open possible future studies that involves the adaptation of a digital version of the card game or possible implementation of the game in other health professional programs in universities and other educational institutes.




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Corpus Processing of Multi-Word Discourse Markers for Advanced Learners

Aim/Purpose. The most crucial aspects of teaching a foreign language to more advanced learners are building an awareness of discourse modes, how to regulate discourse, and the pragmatic properties of discourse components. However, in different languages, the connections and structure of discourse are ensured by different linguistic means which makes matters complicated for the learner. Background. By uncovering regularities in a foreign language and comparing them with patterns in one’s own tongue, the corpus research method offers the student unique opportunities to acquire linguistic knowledge about discourse markers. This paper reports on an investigation of the functions of multi-word discourse markers. Methodology. In our research, we combine the alignment model of the phrase-based statistical machine translation and manual treatment of the data in order to examine English multi-word discourse markers and their equivalents in Lithuanian and Hebrew translations by researching their changes in translation. After establishing the full list of multi-word discourse markers in our generated parallel corpus, we research how the multi-word discourse markers are treated in translation. Contribution. Creating a parallel research corpus to identify multi-word expressions used as discourse markers, analyzing how they are translated into Lithuanian and Hebrew, and attempting to determine why the translators made the choices add value to corpus-driven research and how to manage discourse. Findings. Our research proves that there is a possible context-based influence guiding the translation to choose a particle or other lexical item integration in Lithuanian or Hebrew translated discourse markers to express the rhetorical domain which could be related to the so-called phenomenon of “over-specification.” Recommendations for Practitioners. The comparative examination of discourse markers provides language instructors and translators with more specific information about the roles of discourse markers. Recommendations for Researchers. Understanding the multifunctionality of discourse markers provides new avenues for discourse marker application in translation research. Impact on Society. The current study may be a useful method to strengthen students’ language awareness and analytic skills and is particularly important for students specializing in English philology or translation. Beyond the empirical research, an extensive parallel data resource has been created to be openly used. Future Research. It should be noted that the observed phenomenon of “over-specification” could be analyzed further in future research.




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Case-Based Experiential/Immersive Learning for Business Problem-Solving: A Plan in Progress

Aim/Purpose. Business schools need to design, develop and deliver courses that are relevant to business problem-solving. Current pedagogies do not often provide the insight – or experience – necessary to close the gap between theory and practice. Background. The paper describes an initiative to design, develop and deliver courses in business-technology problem-solving that thoroughly immerses students in the actual world of business. Methodology. The methodology included case-based analysis where actual cases where selected to model problem-solving scenarios. Contribution. Several courses are developed that immerse students into actual problem-solving experiences. Findings The courses will be delivered to business students to assess the impact of immersive/experiential learning. Recommendations for Practitioners. Additional courses should be informed by actual cases; the commitment to relevance should be expanded. Recommendations for Researchers. Ongoing research to measure the impact of immersive/experiential learning is recommended. Impact on Society. Business schools should rethink the content of their courses and the pedagogies that have dominated business schools for many decades. Future Research. Additional research will include more courses and additional immersive/experiential pedagogies.




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Applicability of Process Maps for Simulation Modeling in Business Process Change Projects




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Business Intelligence Systems in the Holistic Infrastructure Development Supporting Decision Making in Organisations




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A Framework for Designing Nursing Knowledge Management Systems




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Predicting Internet-based Online Community Size and Time to Peak Membership Using the Bass Model of New Product Growth




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Approach to Building and Implementing Business Intelligence Systems




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A Methodology for Increasing Business Process Maturity in Public Sector




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Criteria for the Evaluation of Business Process Simulation Tools




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Experiences in Building and Using Decision-Support Systems in Postgraduate University Courses




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From Tailored Databases to Wikis: Using Emerging Technologies to Work Together More Efficiently




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Performance Attributions: A Cross Cultural Study Comparing Singapore, Japan and US Companies




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Pedagogy for Mobile ICT Learning Using Video-Conferencing Technology




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Adaptive Innovation and a MOODLE-based VLE to Support a Fully Online MSc Business Information Technology (BIT) at the University of East London (UEL)




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Factors Determining the Balance between Online and Face-to-Face Teaching: An Analysis using Actor-Network Theory




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Transaction Flow in Card Payment Systems Using Mobile Agents




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Using Research Techniques to Teach Management of IT Concepts to Postgraduate Business Students




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Assessment of Risk of Misinforming: Dynamic Measures




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Using eTechnologies for Active Learning