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Muslim, Arham; Chatti, Mohamed Amine; Bashir, Muhammad Bassim; Barrios Varela, Oscar Eduardo; Schroeder, Ulrik – Journal of Learning Analytics, 2018
Open Learning Analytics (OLA) is an emerging concept in the field of Learning Analytics (LA). It deals with learning data collected from multiple environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. Due to this diversity in different dimensions of OLA, the LA developers…
Descriptors: Data Analysis, Learning, Models, Design
Ertugrul, Irfan; Öztas, Tayfun – International Journal of Assessment Tools in Education, 2018
Data Envelopment Analysis (DEA) is one of the most widely used efficiency measurement techniques in the literature. In the method developed by Charnes, Cooper, and Rhodes, the relation between input(s) and output(s) is examined and relative efficiency values are obtained for many decisionmaking units. In order to be able to accurately measure the…
Descriptors: Efficiency, Measurement Techniques, Data Analysis, Input Output Analysis
Schmidtke, Jens – Studies in Second Language Acquisition, 2018
It has been known since at least the 1960s that small changes in pupil diameter in response to a mental task are indicative of processing effort associated with this task. More recently, with the advent of modern eye-trackers, which also measure the pupil diameter, pupillometry has been "rediscovered" by language researchers and the…
Descriptors: Eye Movements, Language Research, Second Language Learning, Research Design
Yap, Alexander Y.; Drye, Sherrie L. – Information Systems Education Journal, 2018
This research shares the challenges of bringing in real-world big business data into the classroom so students can experience how today's business decisions can improve with the strategic use of data analytics. Finding a true big data set that provides real world business transactions and operational data has been a challenge for academics…
Descriptors: Business Administration Education, Business Schools, Data Analysis, Data Collection
Friedman, Alon – Technology, Pedagogy and Education, 2018
Growing interest in Big Data is leading industries, academics and governments to accelerate Big Data research. However, how teachers should teach Big Data has not been fully examined. This article suggests criteria for redesigning Big Data syllabi in public and private degree-awarding higher education establishments. The author conducted a survey…
Descriptors: Data Collection, Data Analysis, Course Descriptions, Higher Education
The Analytics Revolution in Higher Education: Big Data, Organizational Learning, and Student Success
Gagliardi, Jonathan S., Ed.; Parnell, Amelia, Ed.; Carpenter-Hubin, Julia, Ed. – Stylus Publishing LLC, 2018
In this era of "Big Data," institutions of higher education are challenged to make the most of the information they have to improve student learning outcomes, close equity gaps, keep costs down, and address the economic needs of the communities they serve at the local, regional, and national levels. This book helps readers understand and…
Descriptors: Educational Research, Data Collection, Data Analysis, Higher Education
Chaudhry, Ritwick; Singh, Harvineet; Dogga, Pradeep; Saini, Shiv Kumar – International Educational Data Mining Society, 2018
Interactive learning environments facilitate learning by providing hints to fill the gaps in the understanding of a concept. Studies suggest that hints are not used optimally by learners. Either they are used unnecessarily or not used at all. It has been shown that learning outcomes can be improved by providing hints when needed. An effective…
Descriptors: Student Behavior, Prediction, Models, Intelligent Tutoring Systems
Hine, Christine – Research Ethics, 2021
There has been considerable debate around the ethical issues raised by data-driven technologies such as artificial intelligence. Ethical principles for the field have focused on the need to ensure that such technologies are used for good rather than harm, that they enshrine principles of social justice and fairness, that they protect privacy,…
Descriptors: Ethics, Artificial Intelligence, Social Justice, Governance
Syed, Hassan; Syed, Ghazal Kazim – Research in Education, 2021
This paper reports on the challenges faced by two researchers during data collection and translation of data and analysis in two public sector universities in Pakistan. Data collection from each institute involved different procedures and a different set of issues, including negotiating access with gatekeepers and participants, dealing with…
Descriptors: Novices, Researchers, Qualitative Research, Research Administration
Ubilla, Francisca M.; Gorgorió, Núria – Teaching Statistics: An International Journal for Teachers, 2021
Statistical data is used in the media and on online platforms, often with an interpretation that serves some commercial or political purpose. Primary preservice teachers must be able to understand statistical data and analyze it critically. Only in this way will they be able to contribute as future teachers to the development of a critical spirit…
Descriptors: Statistical Data, Preservice Teachers, Elementary School Teachers, Data Analysis
Toskin, Katarzyna; Kunene, Niki – Information Systems Education Journal, 2021
Faculty teaching data analytics at undergraduate level are often faced with the tension created by student under-preparedness, the demands of the course, and time constraints. How do faculty close this gap? In this paper, we propose the use of flow diagramming as an accessible method for interpreting regression analyses, in ways that are time…
Descriptors: College Faculty, Data Analysis, Statistics Education, Undergraduate Students
Djerasimovic, Sanja – European Journal of Higher Education, 2021
As universities are undergoing transformations produced by trends towards marketisation, massification, new public management, and 'third mission' of socio-economic impact, higher education (HE) researchers are increasingly concerned with the implications of the HE sector change on academic practice, professional identities, and even wellbeing.…
Descriptors: College Faculty, Professional Identity, Well Being, Diaries
Sharma, Sashi; Sharma, Shweta; Doyle, Phil; Marcelo, Louis; Kumar, Daniel – Teachers and Curriculum, 2021
Learning about probability can pose difficulties for students at all levels. Performing probability experiments using games can encourage students to develop understandings of probability grounded in real events. In this reflective paper, we explore the thinking of a group of students and teachers as they reasoned about experimental and…
Descriptors: Statistics Education, Probability, Educational Games, Learning Activities
Thorpe, Karen; Westwood, Emily; Jansen, Elena; Menner, Ryan; Houen, Sandy; Staton, Sally – Australian Educational Researcher, 2021
The most recent data from the Australian Children's Education and Care Quality Authority (ACECQA) present good news; 79% of Australia's Early Childhood Education and Care services are now meeting the National Quality Standard (NQS). Yet one in five services remain below standard. Understanding the context and characteristics of these services, and…
Descriptors: National Standards, Early Childhood Education, Child Care, Foreign Countries
Boehm, Frederick J.; Hanlon, Bret M. – Journal of Statistics and Data Science Education, 2021
We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing…
Descriptors: Social Media, Mentors, Guidelines, Undergraduate Students