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Vatsalan, Dinusha; Rakotoarivelo, Thierry; Bhaskar, Raghav; Tyler, Paul; Ladjal, Djazia – British Journal of Educational Technology, 2022
With Big Data revolution, the education sector is being reshaped. The current data-driven education system provides many opportunities to utilize the enormous amount of collected data about students' activities and performance for personalized education, adapting teaching methods, and decision making. On the other hand, such benefits come at a…
Descriptors: Privacy, Risk, Data, Markov Processes
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Kitto, Kirsty; Knight, Simon – British Journal of Educational Technology, 2019
Artificial intelligence and data analysis (AIDA) are increasingly entering the field of education. Within this context, the subfield of learning analytics (LA) has, since its inception, had a strong emphasis upon ethics, with numerous checklists and frameworks proposed to ensure that student privacy is respected and potential harms avoided. Here,…
Descriptors: Ethics, Learning Analytics, Artificial Intelligence, Data Analysis
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Kay, Judy; Kummerfeld, Bob – British Journal of Educational Technology, 2019
As technology has become ubiquitous in learning contexts, there has been an explosion in the amount of learning data. This creates opportunities to draw on the decades of learner modelling research from Artificial Intelligence in Education and more recent research on Personal Informatics. We use these bodies of research to introduce a conceptual…
Descriptors: Lifelong Learning, Models, Artificial Intelligence, Information Technology
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Hernández-Leo, Davinia; Martinez-Maldonado, Roberto; Pardo, Abelardo; Muñoz-Cristóbal, Juan A.; Rodríguez-Triana, María J. – British Journal of Educational Technology, 2019
The field of "learning design" studies how to support teachers in devising suitable activities for their students to learn. The field of "learning analytics" explores how data about students' interactions can be used to increase the understanding of learning experiences. Despite its clear synergy, there is only limited and…
Descriptors: Instructional Design, Data Analysis, Guidelines, Decision Making
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Daniel, Ben Kei – British Journal of Educational Technology, 2019
Big Data refers to large and disparate volumes of data generated by people, applications and machines. It is gaining increasing attention from a variety of domains, including education. What are the challenges of engaging with Big Data research in education? This paper identifies a wide range of critical issues that researchers need to consider…
Descriptors: Data, Educational Research, Information Utilization, Epistemology
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Nguyen, Andy; Gardner, Lesley A.; Sheridan, Don – British Journal of Educational Technology, 2018
This paper proposes a systematic framework to integrate learning analytics into serious games for people with intellectual disabilities. Serious games for an inclusive learning environment need to be prudently designed with adaptive and measurable competencies to meet the needs of the target users. The recent emergence of learning analytics…
Descriptors: Models, Intellectual Disability, Inclusion, Educational Technology
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Daniel, Ben – British Journal of Educational Technology, 2015
Institutions of higher education are operating in an increasingly complex and competitive environment. This paper identifies contemporary challenges facing institutions of higher education worldwide and explores the potential of Big Data in addressing these challenges. The paper then outlines a number of opportunities and challenges associated…
Descriptors: Higher Education, Statistical Data, Data Analysis, Program Implementation
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Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models
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Reese, Debbie Denise – British Journal of Educational Technology, 2015
The "Selene: A Lunar Construction GaME" instructional video game is a robust research environment (institutional review board approved) for investigating learning, affect, and the CyGaMEs Metaphorics approach to instructional video game design, embedded assessment, and informatics analysis and reporting. CyGaMEs applies analogical…
Descriptors: Video Games, Educational Technology, Research, Design
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Pardo, Abelardo; Siemens, George – British Journal of Educational Technology, 2014
The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as…
Descriptors: Ethics, Privacy, Learning, Data Analysis
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Dietze, Stefan; Taibi, Davide; Yu, Hong Qing; Dovrolis, Nikolas – British Journal of Educational Technology, 2015
Reusable educational resources became increasingly important for enhancing learning and teaching experiences, particularly in the medical domain where resources are particularly expensive to produce. While interoperability across educational resources metadata repositories is yet limited to the heterogeneity of metadata standards and interface…
Descriptors: Medical Education, Educational Resources, Databases, Metadata
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de Freitas, Sara; Gibson, David; Du Plessis, Coert; Halloran, Pat; Williams, Ed; Ambrose, Matt; Dunwell, Ian; Arnab, Sylvester – British Journal of Educational Technology, 2015
With digitisation and the rise of e-learning have come a range of computational tools and approaches that have allowed educators to better support the learners' experience in schools, colleges and universities. The move away from traditional paper-based course materials, registration, admissions and support services to the mobile, always-on and…
Descriptors: Higher Education, Student Records, Data Analysis, Information Utilization
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Thompson, Kate; Kennedy-Clark, Shannon; Wheeler, Penny; Kelly, Nick – British Journal of Educational Technology, 2014
This paper describes a technique for locating indicators of success within the data collected from complex learning environments, proposing an application of e-research to access learner processes and measure and track group progress. The technique combines automated extraction of tense and modality via parts-of-speech tagging with a visualisation…
Descriptors: Data Collection, Educational Environment, Research, Electronic Equipment
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Guo, Shesen; Zhang, Ganzhou; Zhai, Run – British Journal of Educational Technology, 2010
A powerful search for "curiosity" or its related topics at the online American Psychological Association PsycNET database will produce comparatively disappointing meagreness of resource. This reflects our scanty knowledge in this field though curiosity is widely recognised as one of the most important factors that contribute to motivation and…
Descriptors: Research Methodology, Personality Traits, Measurement Techniques, Research Tools
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Megarry, Jacquetta – British Journal of Educational Technology, 1988
Describes hypertext as software that improves the learner's control over a knowledge base, and discusses the role hypertext could play in compact disc technologies. Digital multimedia learning materials are discussed; relationships among data, information, knowledge, and expertise are explored; and examples of applications of compact disc media…
Descriptors: Computer Assisted Instruction, Computer Software, Data Processing, Information Systems
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