NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 86 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Eamon Vale; Garry Falloon – Online Learning, 2024
This research investigated the potential of learning analytics (LA) as a tool for identifying and evaluating K-12 student behaviors associated with active learning when using video learning objects within an online learning environment (OLE). The study focused on the application of LA for evaluating K-12 student engagement in videobased…
Descriptors: Learning Analytics, Elementary School Students, Secondary School Teachers, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Brown, Alice; Lawrence, Jill; Basson, Marita; Axelsen, Megan; Redmond, Petrea; Turner, Joanna; Maloney, Suzanne; Galligan, Linda – Active Learning in Higher Education, 2023
Combining nudge theory with learning analytics, 'nudge analytics', is a relatively recent phenomenon in the educational context. Used, for example, to address such issues as concerns with student (dis)engagement, nudging students to take certain action or to change a behaviour towards active learning, can make a difference. However, knowing who to…
Descriptors: Online Courses, Learner Engagement, Learning Analytics, Intervention
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Neil Dixon; Rob Howe; Uwe Matthias Richter – Research in Learning Technology, 2025
Learning analytics (LA) provides insight into student performance and progress, allowing for targeted interventions and support to improve the student learning experience. Uses of LA are diverse, including measuring student engagement, retention, progression, student well-being and curriculum development. This article provides perspectives on the…
Descriptors: Learning Analytics, Educational Benefits, Case Studies, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Nick Hopwood; Tracey-Ann Palmer; Gloria Angela Koh; Mun Yee Lai; Yifei Dong; Sarah Loch; Kun Yu – International Journal of Research & Method in Education, 2025
Student emotions influence assessment task behaviour and performance but are difficult to study empirically. The study combined qualitative data from focus group interviews with 22 students and 4 teachers, with quantitative real-time learning analytics (facial expression, mouse click and keyboard strokes) to examine student emotional engagement in…
Descriptors: Psychological Patterns, Student Evaluation, Learning Analytics, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Robert J. Summers; Adrian P. Burgess; Helen E. Higson; Elisabeth Moores – Studies in Higher Education, 2024
To explore potential effects of disadvantage on engagement and attainment under different teaching and assessment regimes, the influence of pedagogic changes implemented during the COVID-19 pandemic on attainment and engagement of students from different backgrounds were compared using a cohort-study design. Learner analytics and attainment data…
Descriptors: Foreign Countries, Learning Analytics, Disadvantaged, College Freshmen
Peer reviewed Peer reviewed
Direct linkDirect link
Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
Peer reviewed Peer reviewed
Direct linkDirect link
Banihashem, Seyyed Kazem; Farrokhnia, Mohammadreza; Badali, Mehdi; Noroozi, Omid – Innovations in Education and Teaching International, 2022
So far, the synergistic relationship between learning design and learning analytics and its impact on learners' educational practices have been investigated. However, little work has been done to show how integrated learning design based on constructivism learning theory and learning analytics can affect learners' engagement and self-regulation.…
Descriptors: Foreign Countries, Graduate Students, Constructivism (Learning), Learning Analytics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rand Al-Dmour; Hani Al-Dmour; Yazeed Al-Dmour; Ahmed Al-Dmour – Journal of International Students, 2025
In this study, we examine the role of AI-driven marketing in international student recruitment, focusing on how perceived usefulness, trust, and personalization influence decision-making. Grounded in the Technology Acceptance Model (TAM), the Trust-Based Decision-Making Model, and the Personalization--Privacy Paradox, we studied how AI-powered…
Descriptors: Foreign Students, Student Recruitment, Trust (Psychology), Privacy
Peer reviewed Peer reviewed
Direct linkDirect link
Kelly Linden; Neil van der Ploeg; Noelia Roman – Journal of Higher Education Policy and Management, 2023
There is a small window of opportunity at the beginning of semester for a university to provide commencing students with timely and targeted support. However, there is limited information available on interventions that identify and support disengaged students from equity groups without using equity group status as the basis for the contact. The…
Descriptors: Learner Engagement, Identification, Intervention, Learning Analytics
Peer reviewed Peer reviewed
Direct linkDirect link
Chang Lu; Okan Bulut; Carrie Demmans Epp; Mark Gierl – Distance Education, 2025
Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…
Descriptors: Learner Engagement, Outcomes of Education, Technology Uses in Education, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Mohammad Khalil; Paraskevi Topali; Alejandro Ortega-Arranz; Erkan Er; Gökhan Akçapinar; Gleb Belokrys – Technology, Knowledge and Learning, 2024
The use of videos in teaching has gained impetus in recent years, especially after the increased attention towards remote learning. Understanding students' video-related behaviour through learning (and video) analytics can offer instructors significant potential to intervene and enhance course designs. Previous studies explored students' video…
Descriptors: Foreign Countries, MOOCs, Distance Education, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Sun, Fu-Rong; Hu, Hong-Zhen; Wan, Rong-Gen; Fu, Xiao; Wu, Shu-Jing – Interactive Learning Environments, 2022
To determine the impact of cognitive style on change of concept of engagement in the flipped classroom, a sequential analysis from the perspective of Bloom's Taxonomy was conducted to establish if significant differences existed between the learning achievements and engagement of students with different cognitive styles. The participants were…
Descriptors: Learning Analytics, Preservice Teachers, Educational Change, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Raj, Nisha S.; V. G., Renumol – E-Learning and Digital Media, 2022
Learning analytics aims at helping the students to attain their learning goals. The predictions in learning analytics are made to enhance the effectiveness of educational interferences. This study predicts student engagement at an early phase of a Virtual Learning Environment (VLE) course by analyzing data collected from consecutive years. The…
Descriptors: Foreign Countries, Learner Engagement, Virtual Classrooms, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ruth M. Roberts – Critical Education, 2023
This paper offers a critical discourse analysis of documents relating to the introduction of predictive learning analytics at a small, UK university. Semiotic and interdiscursive analysis was carried out on texts from three different sources: the institution, the commercial analytics software provider, and one academic subject area. Authority…
Descriptors: Discourse Analysis, College Students, Attendance, Learner Engagement
Peer reviewed Peer reviewed
Direct linkDirect link
Zhicheng Dai; Yue Yang; Zengzhao Chen; Ling Wang; Liang Zhao; Xiaoliang Zhu; Junxia Xiong – Education and Information Technologies, 2025
Higher education is beginning to focus on how to effectively cultivate IoT engineers who possess both hard skills and soft skills. Therefore, from the perspective of activity theory and combining it with project-based learning, this study constructed a project-based learning framework based on activity theory and applied this framework to an IoT…
Descriptors: Active Learning, Student Projects, Teacher Effectiveness, Instructional Effectiveness
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6