Useful academic references for data mining and usage statistics

Relates to the following software for analysing Blackboard stats http://www.edshare.soton.ac.uk/11134/ Is supporting material for the following podcast: http://youtu.be/yHxCzjiYBo

Using Data Mining for Predicting Relationships between Online Question Theme and Final Grade

As higher education diversifies its delivery modes, our ability to use the predictive and analytical power of educational data mining (EDM) to understand students\u27 learning experiences is a critical step forward. The adoption of EDM by higher education as an analytical and decision making tool is offering new opportunities to exploit the untapped data generated by various student information systems (SIS) and learning management systems (LMS). This paper describes a hybrid approach which uses EDM and regression analysis to analyse live video streaming (LVS) students\u27 online learning behaviours and their performance in their courses. Students\u27 participation and login frequency, as well as the number of chat messages and questions that they submit to their instructors, were analysed, along with students\u27 final grades. Results of the study show a considerable variability in students\u27 questions and chat messages. Unlike previous studies, this study suggests no correlation between students\u27 number of questions/chat messages/login times and students\u27 success. However, our case study reveals that combining EDM with traditional statistical analysis provides a strong and coherent analytical framework capable of enabling a deeper and richer understanding of students\u27 learning behaviours and experiences

The Role of Delivery Methods on the Perceived Learning Performance and Satisfaction of IT Students in Software Programming Courses

More and more information technology (IT) programs are offering distance learning courses to their students. However, to date, there are a very limited number of published articles in the IT education literature that compare how different methods of delivering distance course relate to undergraduate students’ learning outcomes in IT software programming courses taught by the same instructor. Thus, we conducted a case study to assess the predictive relationships between distance course delivery method (face-to-face, satellite broadcasting, and live video-streaming) and students’ perceived learning performance and satisfaction in IT software programming courses taught by the same instructor. The results suggested that the choice of delivery method was related to students’ satisfaction and programming skill enhancement. However, we did not find a relationship between the delivery method and the students’ perceived learning performance. Specifically, the participants in the face-to-face delivery method group were more likely to feel satisfied with the delivery method than the students using the other two delivery methods (i.e., satellite broadcasting and live video streaming)

Examining the Use of Social Media in Customer Co-Creation: A Blog Mining Study

Social media have been used by some companies to support customer co-creation in recent years. However, few academic studies have been done to investigate the use of social media for customer co-creation. To understand the current state-of-the-art and future trends about the use of social media for customer co-creation, we conducted a blog mining study to analyze relevant posts on blogs. This blog study reveals some interesting patterns, themes and future trends in this specific area

Data Science and Ebola

Data Science---Today, everybody and everything produces data. People produce large amounts of data in social networks and in commercial transactions. Medical, corporate, and government databases continue to grow. Sensors continue to get cheaper and are increasingly connected, creating an Internet of Things, and generating even more data. In every discipline, large, diverse, and rich data sets are emerging, from astrophysics, to the life sciences, to the behavioral sciences, to finance and commerce, to the humanities and to the arts. In every discipline people want to organize, analyze, optimize and understand their data to answer questions and to deepen insights. The science that is transforming this ocean of data into a sea of knowledge is called data science. This lecture will discuss how data science has changed the way in which one of the most visible challenges to public health is handled, the 2014 Ebola outbreak in West Africa.Comment: Inaugural lecture Leiden Universit

Integrative Learning and Interdisciplinary Information Systems Curriculum Development in Accounting Analytics

This paper develops the structure for an integrative model information systems curriculum on Accounting Analytics, which affords students the opportunities to develop domain knowledge along with application of data analytics. As industry experiences rapid technological change, university curricula must remain current in order to be effective. Curriculum content is further advanced and established with input from industry organizations that employ graduates of the programs. The paper output includes a curriculum review of top accounting programs, course curriculum map, accounting data skills matrix, and professional opportunities. The curriculum review utilizes an empirical text analytics methodological approach to extract patterns and develop additional insights for the advancement of accounting information systems research. To minimize curricular disruption, existing courses can be utilized as core curriculum, enhancing key courses to complete undergraduate, graduate, or certificate programs. The Accounting Analytics customized curriculum provides students an opportunity to take advantage of the growing interdisciplinary field and student interest among accounting and analytical career paths. The integrative curriculum is developed to better prepare graduates with the critical knowledge, skills, and abilities to excel in this new-age workforce

Disney plus Hotstar on Twitter: Using netnography and word clouds to gain consumer insights

Microblogging platform Twitter is being used more and more by businesses to promote and connect with their brands. The main goal of this manuscript is to identify the content typologies that Disney Plus Hotstar utilizes on Twitter to encourage customer engagement. This has been accomplished through the usage of technique termed as Netnography. The document then uses wordclouds to extract user data from the Disney Plus Hotstar twitter feed