The Role of Big Data and Artificial Intelligence in Education and Education Research: A Literature Mapping (original) (raw)

Challenges and Future Directions of Big Data and Artificial Intelligence in Education

Frontiers in Psychology, 2020

We discuss the new challenges and directions facing the use of big data and artificial intelligence (AI) in education research, policy-making, and industry. In recent years, applications of big data and AI in education have made significant headways. This highlights a novel trend in leading-edge educational research. The convenience and embeddedness of data collection within educational technologies, paired with computational techniques have made the analyses of big data a reality. We are moving beyond proof-of-concept demonstrations and applications of techniques, and are beginning to see substantial adoption in many areas of education. The key research trends in the domains of big data and AI are associated with assessment, individualized learning, and precision education. Model-driven data analytics approaches will grow quickly to guide the development, interpretation, and validation of the algorithms. However, conclusions from educational analytics should, of course, be applied with caution. At the education policy level, the government should be devoted to supporting lifelong learning, offering teacher education programs, and protecting personal data. With regard to the education industry, reciprocal and mutually beneficial relationships should be developed in order to enhance academia-industry collaboration. Furthermore, it is important to make sure that technologies are guided by relevant theoretical frameworks and are empirically tested. Lastly, in this paper we advocate an in-depth dialog between supporters of "cold" technology and "warm" humanity so that it can lead to greater understanding among teachers and students about how technology, and specifically, the big data explosion and AI revolution can bring new opportunities (and challenges) that can be best leveraged for pedagogical practices and learning.

Big data in education: a state of the art, limitations, and future research directions

International Journal of Educational Technology in Higher Education, 2020

Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data in different fields for various purposes. However, a comprehensive review is still lacking in big data in education. Thus, this study aims to conduct a systematic review on big data in education in order to explore the trends, classify the research themes, and highlight the limitations and provide possible future directions in the domain. Following a systematic review procedure, 40 primary studies published from 2014 to 2019 were utilized and related information extracted. The findings showed that there is an increase in the number of studies that address big data in education during the last 2 years. It has been found that the current studi...

Big Data and Educational Research

The BERA/SAGE Handbook of Educational Research: Two Volume Set

Big data and data analytics offer the promise to enhance teaching and learning, improve educational research and progress education governance. This chapter aims to contribute to the conceptual and methodological understanding of big data and analytics within educational research. It describes the opportunities and challenges that big data and analytics bring to education as well as critically explore the perils of applying a data driven approach to education. Despite the claimed value of the increasing amounts of large and complex data sets and the growing interest in making sense of them there is still limited knowledge on big data and educational research. Over the last decades, the developments on information and communication technologies are reshaping teaching and learning and the governance of education. A broad variety of online behaviours and transactional data is (or can be) now stored and tracked. Its analysis could provide meaningful insights to enhance teaching and learning processes, to make better management decisions and to evaluate progresses-of individuals and education systems. This chapter starts by defining big data and the sources and artefacts collect, generate and display data. In doing so it explores aspects related to data ownership and researchers' access to big data. It then assesses the value of big data for educational research by critically considering the stages involved in the use of big data, providing examples of recent educational research using big data.

Analyzing the educational goals, problems and techniques used in educational big data research from 2010 to 2018

Interactive Learning Environments, 2020

The purpose of this study is to review journal papers on educational big data research published from 2010 to 2018. A total of 143 papers were selected. The papers were characterized based on three dimensions: (a) educational goals; (b) educational problems addressed; and (c) big data analytical techniques used. A qualitative content analysis approach was conducted to develop a coding scheme for analyzing the selected papers. The results identified four types of educational goals, with a clear predominance of quality assurance. The identification of the most mentioned educational problems resulted in four main concerns: the lack of detecting student behavior modeling and waste of resources; inappropriate curricula and teaching strategies; oversights of quality assurance; and privacy and ethical issues. Concerning the most mentioned big data analytical techniques, the coding scheme revealed that the majority of the papers focused on the educational data mining technique followed by the learning analytics technique. The visual analytics technique was mentioned in a few papers. The results also indicated that the educational data mining technique is the most suitable technique to use for quality assurance and to provide potential solutions for the lack of detecting student behavior modeling and the waste of resources in institutions.

Big Data: A Revolution That Will Change the Education Landscape

2017

The recent advance in Information and Communication Technologies has resulted in a considerable increase in the amount of information that is being generated. This data revolution commonly known as ‘Big Data’ is, actually, one of the highest IT trends that is made use of in various domains and for a variety of purposes. This data revolution will not only have an effect on how individuals and organizations process and use information, but will also drive revolutionary changes in many fields. However, one of main the fields on which big data can have a great impact is education. The objective of this paper is, therefore, to explore the potential influence that this voluminous amount of data can have on the education landscape. In this respect, it was found out that big data can provide valuable real-time insights on how students acquire and digest knowledge. Moreover, it can be used to provide every individual student with a more customized, effective and engaging learning experience....

Utilization Of Big Data in Educational Technology Research

International Transactions on Education Technology (ITEE)

This research aims to exploit the role and contribution of big data in normal-age learning paradigms that require online learning that was initially conducted face-to-face. Educational technology research includes research areas that require changes in learning strategies. This includes the use of technology currently occurring during the COVID-19 virus pandemic to transform face-to-face learning online. Use big data to develop learning strategies (procedures) to solve problems/facilitate learning. The use of big data can contribute to the study of education in general and educational technology in particular. Methodologies used include the analysis and potential implementation of big data in the field of educational technology research by conducting literature survey analyses. The data obtained and used are in the form of local and international journals related to the implementation of big data in the world of educational technology research. The development of technology research...

Big Data in Education- Applications and Challenges

IJCRT - International Journal of Creative Research Thoughts (IJCRT), 2021

Data is presumed to be the next oil. Unless it is refined, it is of no value. But once it is refined and presented in the required format, is equivalent to gold. Education is also no exception. Big Data has found its way deep into the realms of education and is transforming the way education is delivered and consumed. This work is an attempt to explore the ways Big Data is transforming education and what are the challenges that beset this transformational journey. Some noteworthy tools that have attracted quite an ample amount of prominence are also discussed and how the conventional tools of education are being transformed or replaced by the tools powered by analytics and artificial intelligence are making way into the mainstream. The advantages of adopting the data driven technologies also find mention in this work. Ethical and moral questions have also been raised as analyzing the data generated by someone through digital interactions are always a shady area. There is no clear black or white to it.

Impact of Big-Data on Education System

International Journal for Research in Applied Science and Engineering Technology

The objective of any contraption is to formulate the life of a human being trouble-free and comfortable. Big data refer to mining valuable data from a bulky quantity of unstructured and structured data. Educational institutions have huge amount of data. Thus, it is crucial to boost Big data processing in educational institution. The traditional classroom environment is no longer necessary for learning. Big Data altered the way of learning by building it easy, effortless and exciting. Technology will continuously make learning easy for the convenience of students [1]. Big data in higher education comes from different sources that include blogs, social networks, student information systems, learning management systems(LMS), research, and other machine-generated data. Big data is becoming a key to creating competitive advantages in higher education. The practice of learning management systems in education has been growing in the preceding few years. Students have started using mobile phones to access online content. Student's online activities engender massive amount of data. This has resulted in the progress of Big Data technologies and tools in education to process the huge amount of data. This paper looks into the recent applications of Big Data technologies in education and presents an assessment of prose available on Educational Data Mining and Learning Analytics.