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.…

In recent years, analytics has gained considerable momentum in both industry as well as academia. This study aims to develop an analytics curriculum for undergraduate and graduate programs by identifying skill-based gaps between industry and academia and then clustering them based on methodological and semantic similarities among other criteria.…

This paper summarises the contributions to EuroCALL's CorpusCALL SIG Symposium for the year 2020. In line with this year's EuroCALL conference theme, 'CALL for widening participation', the Symposium centred around the theme of "Data-driven learning for languages other than English." This paper gives a brief overview of developments and…

Big Data already passed out of hype, is now a field that deserves serious academic investigation, and natural scientists should also become familiar with Analytics. On the other hand, there is little empirical evidence that any science taught in school is helping people to lead happier, more prosperous, or more politically well-informed lives. In…

Although the number of qualitative research studies has boomed in recent years, close observation reveals that often the research designs and methodological considerations and approaches have developed a type of configuration that does not adhere to purist definitions of the labels attached. Very often so called interpretivist studies are not…

In this paper, the learning process is digitally tracked and recorded, with regard to learning evolves into data-intensive learning. Also, the number and scale of data are long and the resources are heterogeneous, and the information resources are not abundant, causing users to be lost. In the process of clean information, seeking information…

This study aimed at exploring novice researchers' experiences of and perspectives on the qualitative research journey and determining the difficulties tackled and strategies developed while conducting qualitative research. The study was an interview-based qualitative case study involving nine graduate students in education as the participants. The…

Learning analytics involve the measurement, collection, analysis, and reporting of data about learners and their contexts, in order to understand and optimize learning and the environments in which it occurs. Since emerging as a distinct field in 2011, learning analytics has grown rapidly, and early adopters around the world are developing and…

As the fields of learning analytics and learning design mature, the convergence and synergies between the two are becoming an important area for research. This paper intends to summarize the main outcomes of a systematic review of empirical evidence on learning analytics for learning design. Moreover, this paper presents an overview of what and…

Data analytics is an integral part of planning and decision making in business. Priorities have shifted to hiring skilled employees to support a company's analytics requirements. The authors discuss the background of big data and data analytics, demand for trained professionals, and information on the development of a data analytics curriculum.…

This paper explores students' engagement in reading poems, examining data on their self-perceptions of their confidence and competence in reading poems before, during, and after using the "I Notice" methodology as adapted from The Academy of American Poets' unit plan, "Noticing Poetry" (Slaby, 2017). The data was collected over…

Next-generation sequencing (NGS)-based methods are revolutionizing biology. Their prevalence requires biologists to be increasingly knowledgeable about computational methods to manage the enormous scale of data. As such, early introduction to NGS analysis and conceptual connection to wet-lab experiments is crucial for training young scientists.…

Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…

Implementing systematic diversity transformation requires embracing all aspects of diversity--gender, sexual orientation, disability, gender identification, and other salient characteristics of difference--as well as race and ethnicity. This book lays out a framework for systematic and sustained diversity process that first recognizes that too…