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Stephanie J. Blackmon; Robert L. Moore – Journal of Computing in Higher Education, 2024
As learning analytics use grows across U.S. colleges and universities, so does the need to discuss the plans, purposes, and paths for the data collected via learning analytics. More specifically, students, faculty, and others who are impacted by learning analytics use should have more information about their campus' learning analytics practices…
Descriptors: Learning Analytics, Networks, Models, Ethics
Mohammad Khalil; Sharon Slade; Paul Prinsloo – Journal of Computing in Higher Education, 2024
This article maps considerations of inclusiveness and support for students with disabilities by reviewing articles within the field of learning analytics. The study involved a PRISMA-informed systematic review of two popular digital libraries, namely Clarivate's Web of Science, and Elsevier's Scopus for peer-reviewed journal articles and…
Descriptors: Learning Analytics, Journal Articles, Conference Papers, Inclusion
Vaclav Bayer; Paul Mulholland; Martin Hlosta; Tracie Farrell; Christothea Herodotou; Miriam Fernandez – British Journal of Educational Technology, 2024
Educational outcomes from traditionally underrepresented groups are generally worse than for their more advantaged peers. This problem is typically known as the awarding gap (we use the term awarding gap over 'attainment gap' as attainment places the responsibility on students to attain at equal levels) and continues to pose a challenge for…
Descriptors: Learning Analytics, Equal Education, Diversity, Inclusion
Clare Baek; Stephen J. Aguilar – Journal of Research on Technology in Education, 2023
We examined the learning analytics literature over the past ten years (2011-2020). Our results show that only 33% of articles we retrieved focused on students with disabilities and 67% of articles we retrieved engaged with students with disabilities tangentially on several themes: detecting difficulties to provide early intervention, using…
Descriptors: Learning Analytics, Students with Disabilities, Literature Reviews, Early Intervention
Heiser, Rebecca E.; Stritto, Mary Ellen Dello; Brown, Allen S.; Croft, Benjamin – Journal of Learning Analytics, 2023
When higher education institutions (HEIs) have the potential to collect large amounts of learner data, it is important to consider the spectrum of stakeholders involved with and impacted by the use of learning analytics. This qualitative research study aims to understand the degree of concern with issues of bias and equity in the uses of learner…
Descriptors: Student Attitudes, Administrator Attitudes, Equal Education, Bias
Inclusive Learning Using Industry 4.0 Technologies: Addressing Student Diversity in Modern Education
Ishteyaaq Ahmad; Sonal Sharma; Rajesh Singh; Anita Gehlot; Lovi Raj Gupta; Amit Kumar Thakur; Neeraj Priyadarshi; Bhekisipho Twala – Cogent Education, 2024
This study explores the potential benefits of integrating Industry 4.0 technologies into educational settings, focusing on Artificial Intelligence/Machine Learning, Augmented Reality, Big Data, Blockchain, Cloud Computing, Internet of Things, Metaverse, Robotics, and Virtual Reality. The aim is to develop learning environments that are more…
Descriptors: Student Diversity, Inclusion, Technology Uses in Education, Educational Technology
Prinsloo, Paul; Kaliisa, Rogers – Journal of Learning Analytics, 2022
While learning analytics (LA) has been highlighted as a field aiming to address systemic equity and quality issues within educational systems between and within regions, to date, its adoption is predominantly in the Global North. Since the Society for Learning Analytics Research (SoLAR) aspires to be international in reach and relevance, and to…
Descriptors: Learning Analytics, Equal Education, Educational Quality, Diversity
Maddox, Bryan – OECD Publishing, 2023
The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large scale. Process data has long been recognised as a valuable source of validation evidence in…
Descriptors: Measurement, Inferences, Test Reliability, Computer Assisted Testing
Altinay, Fahriye; Ossiannilsson, Ebba; Altinay, Zehra; Dagli, Gokmen – International Journal of Information and Learning Technology, 2021
Purpose: This research study aims to evaluate the capacity and sustainability of an accessible society as a smart society and services with the help of MOOCs and assistive technologies within the learning analytics framework. Design/methodology/approach: Qualitative research was employed in this research that interview forms were conducted to get…
Descriptors: Access to Computers, Accessibility (for Disabled), Assistive Technology, MOOCs
OECD Publishing, 2021
How might digital technology and notably smart technologies based on artificial intelligence (AI), learning analytics, robotics, and others transform education? This book explores such question. It focuses on how smart technologies currently change education in the classroom and the management of educational organisations and systems. The book…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Learning Analytics
Afam Uzorka; Kagezi Kalabuki – Education and Information Technologies, 2024
In the context of Ugandan higher education, this study investigates the revolutionary effects of technology developments in educational leadership on student experiences and outcomes. A purposive sampling strategy was used to select 161 participants from 12 universities in Uganda, focusing on those with significant influence and expertise in…
Descriptors: Technological Advancement, Technology Uses in Education, Instructional Leadership, Student Experience
Mohan Yang; Jon Harbor – International Journal of Designs for Learning, 2023
This design case examines what program leaders learned from failures in the design of a program of authentic learning about teaching diverse audiences through educational outreach. The program was initiated and then redesigned to develop the teaching and communication skills of graduate students from a wide range of backgrounds by engaging them in…
Descriptors: Authentic Learning, Failure, Teaching Skills, Communication Skills
Jeffry White – Journal of Educational Research and Practice, 2024
Violations of normality and homogeneity are common in educational data. When this occurs, the use of parametric statistics may be inappropriate. A generalized form of nonparametric analyses based on the Puri and Sen L statistic provides an alternative approach. Using a chi-square distribution, this technique is easy to apply and has significant…
Descriptors: Nonparametric Statistics, Learning Analytics, Evaluation Methods, Guidance
Williams, Janet M.; Pulido, Laurie – American Association for Adult and Continuing Education, 2022
During the COVID-19 pandemic, an adult noncredit program in the California Community College system partnered with Ease Learning to help convert face-to-face courses to an online modality. Subsequent data revealed a misalignment in the courses' Student Learning Outcomes and Instructional Objectives which became a barrier to student success. Wile's…
Descriptors: Best Practices, Teaching Methods, Online Courses, Outcomes of Education
Dollinger, Mollie; Lodge, Jason – Educational Media International, 2019
The growing practice of students as partners (SaP) has sparked numerous conversations in higher education about the roles students do and should play in shaping the future. SaP scholars contend that by engaging with students in meaningful partnership, underpinned by values such reciprocity, students can have deeper and more meaningful learning…
Descriptors: Learning Analytics, Partnerships in Education, Student Role, Teacher Student Relationship
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