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Showing 1 to 15 of 24 results Save | Export
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Zhou, Jin; Ye, Jun-min – Interactive Learning Environments, 2023
Sentiment analysis (SA) is widespread across all fields and has become one of the most active topics in education research, and there is a growing body of papers published. So far, however, there has been little discussion about comprehensive literature reviews in SA in education. Therefore, this study aims to review the high-qualified scientific…
Descriptors: Educational Research, Electronic Learning, Psychological Patterns, Literature Reviews
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Tal Soffer; Anat Cohen – Australasian Journal of Educational Technology, 2024
The rapid recent use of learning analytics (LA) in higher education, specifically during the COVID-19 pandemic, allows the monitoring of users' behavior while learning. Using LA may promote students' learning outcomes but also intrude into their privacy. This study aimed to explore students' behaviour and perceptions towards privacy and data…
Descriptors: Privacy, Educational Practices, College Students, Student Attitudes
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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
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O'Donoghue, Kevin – Journal of Academic Ethics, 2023
Higher education institutions are increasingly relying on learning analytics to collect voluminous amounts of data ostensibly to inform student learning interventions. The use of learning analytics, however, can result in a tension between the Council for the Advancement of Standards in Higher Education (CAS) principles of autonomy and…
Descriptors: Higher Education, Privacy, Learning Analytics, Academic Standards
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Slade, Sharon; Prinsloo, Paul; Khalil, Mohammad – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to explore and establish the contours of trust in learning analytics and to establish steps that institutions might take to address the "trust deficit" in learning analytics. Design/methodology/approach: "Trust" has always been part and parcel of learning analytics research and practice,…
Descriptors: Trust (Psychology), Learning Analytics, Privacy, Artificial Intelligence
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Tomás Bautista-Godínez; Gerardo Castañeda-Garza; Ricardo Pérez Mora; Hector G. Ceballos; Verónica Luna de la Luz; J. Gerardo Moreno-Salinas; Irma Rocío Zavala-Sierra; Roberto Santos-Solórzano; Carlos Iván Moreno Arellano; Melchor Sánchez-Mendiola – Journal of Learning Analytics, 2024
The adoption of learning analytics (LA) in higher education institutions (HEIs) in Mexico is still at an early stage despite increasing global interest and advances in the field. The use of educational data remains a challenging puzzle for many universities, which strive to provide students, teachers, and institutional administrators with…
Descriptors: Foreign Countries, Learning Analytics, Universities, Program Implementation
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Mahmoud, Mai; Dafoulas, Georgios; Abd ElAziz, Rasha; Saleeb, Noha – International Journal of Information and Learning Technology, 2021
Purpose: The objective of this paper is to present a comprehensive review of the literature on learning analytics (LA) stakeholders' expectations to reveal the status of ongoing research in this area and to highlight gaps in research. Design/methodology/approach: Conducting a literature review is a well-known method to establish knowledge and…
Descriptors: Learning Analytics, Stakeholders, Expectation, Higher Education
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Li, Xu; Ouyang, Fan; Chen, WenZhi – Journal of Computing in Higher Education, 2022
Group formation is a critical factor which influences collaborative processes and performances in computer-supported collaborative learning (CSCL). Automatic grouping has been widely used to generate groups with heterogeneous attributes and to maximize the diversity of students' characteristics within a group. But there are two dominant challenges…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Group Dynamics, Grouping (Instructional Purposes)
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Pozdeeva, Elena; Shipunova, Olga; Popova, Nina; Evseev, Vladimir; Evseeva, Lidiya; Romanenko, Inna; Mureyko, Larisa – Education Sciences, 2021
The article is devoted to learning analytics problems associated with the digital culture development in the university educational space and with the student activity control in the vocational training process. The empirical basis of the study was a series of surveys conducted by the Center for Sociological Research of the Peter the Great…
Descriptors: Learning Analytics, Higher Education, Electronic Learning, Foreign Countries
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Karmijn van de Oudeweetering; Jeremy Knox; Mathias Decuypere – Learning, Media and Technology, 2024
This paper examines the enactment of feedback in Massive Open Online Courses (MOOCs), focusing on analytics dashboards. Building on scholarship that recognizes data practices as entangled and 'messy', the paper problematizes the model of the feedback loop that assumes that analytics dashboards 'feed back' data to instructors and/or learners…
Descriptors: MOOCs, Learning Analytics, Instructional Design, Student Role
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Diego Rates; Dragan Gaševic – International Journal for Students as Partners, 2022
An industrial revolution based on digital technologies and data is rapidly transforming most human activities. In the case of higher education, research on learning analytics has experienced significant expansion and evolution in only a few years. However, there is still a dearth of literature on analytics tools designed to support student…
Descriptors: Learning Analytics, Higher Education, Educational Improvement, Foreign Countries
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Lluch Molins, Laia; Cano García, Elena – Journal of New Approaches in Educational Research, 2023
One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…
Descriptors: Learning Analytics, Learning Management Systems, Peer Evaluation, Higher Education
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Choi, Beomkyu – Journal of Educational Technology, 2022
Online learning has been growing steadily as an essential instructional mode in most higher education settings. In response to its popularity, many studies have been conducted to provide a better understanding of how learning occurs in this environment. Various frameworks and theories have been adopted to examine learning in this environment.…
Descriptors: Online Courses, Asynchronous Communication, Communities of Practice, Metacognition
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Floris, Francesco; Marchisio, Marina; Sacchet, Matteo; Rabellino, Sergio – International Association for Development of the Information Society, 2020
Open Online Courses can serve different purposes: in the case of Orient@mente at the University of Torino, they aim at facilitating the transition from secondary to tertiary education with automatic evaluation tests that students can try in order to understand their capabilities in - and their attitude towards - certain disciplines, and with…
Descriptors: Learning Analytics, Academic Failure, Universities, Student Adjustment
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Gafni, Ruti; Goldstein, Anat – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: The purpose of this study is to discover usage differences in task performance by students of different cultures, by examining procrastination patterns from a national cultural perspective and exploring the effect of multicultural virtual teamwork on students' individual procrastination. Background: This study aims to examine…
Descriptors: Teamwork, Time Management, Intercultural Communication, Online Courses
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