NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Qian Liu; Tehmina Gladman; Julia Muir; Chen Wang; Rebecca Grainger – SAGE Open, 2023
One apparent challenge associated with learning analytics (LA) has been to promote adoption by university educators. Researchers suggest that a visualization dashboard could serve to help educators use LA to improve learning design (LD) practice. We therefore used an educational design approach to develop a pedagogically useful and easy-to-use LA…
Descriptors: Learning Management Systems, Learning Analytics, Visual Aids, Instructional Design
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Krishnamoorthy, Lakshmi; Merchant, Zahira – Pedagogical Research, 2023
Persuasion is inherent to the instructional process. Instructions delivered through online programs do not always generate expected and consistent learning outcomes, and hence persuasion in online instructional design is even more critical. Through this mixed-method study, we aim to identify the most widely used persuasive design techniques, the…
Descriptors: Persuasive Discourse, Instructional Design, Electronic Learning, Learner Engagement
Yipu Zheng – ProQuest LLC, 2024
This dissertation investigates how collective process-oriented documentation tools, combined with Natural Language Processing (NLP) techniques, can enhance knowledge construction in hands-on, open-ended learning environments, such as makerspaces. Through a three-year design-based research, the study developed and tested a collective documentation…
Descriptors: Shared Resources and Services, Open Education, Documentation, Natural Language Processing
Peer reviewed Peer reviewed
Direct linkDirect link
Ouyang, Fan; Wu, Mian; Zheng, Luyi; Zhang, Liyin; Jiao, Pengcheng – International Journal of Educational Technology in Higher Education, 2023
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…
Descriptors: Technology Integration, Artificial Intelligence, Performance, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Rets, Irina; Herodotou, Christothea; Bayer, Vaclav; Hlosta, Martin; Rienties, Bart – International Journal of Educational Technology in Higher Education, 2021
Learning analytics dashboards (LADs) can provide learners with insights about their study progress through visualisations of the learner and learning data. Despite their potential usefulness to support learning, very few studies on LADs have considered learners' needs and have engaged learners in the process of design and evaluation. Aligning with…
Descriptors: Learning Analytics, Educational Technology, Usability, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Rajabalee, Yousra Banoor; Santally, Mohammad Issack – Education and Information Technologies, 2021
There has been debates related to online and blended learning from a perspective of learner experiences in terms of student satisfaction, engagement and performances. In this paper, we analyze student feedback and report the findings of a study of the relationships between student satisfaction and their engagement in an online course with their…
Descriptors: Student Satisfaction, Electronic Learning, College Freshmen, Engineering Education