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N. Godbold; K. E. Matthews; D. Gannaway – International Journal for Academic Development, 2024
This study outlines an approach that captures the messy landscape of the learning opportunities on which teaching focused academics draw. The Activity Centred Analysis and Design framework was employed to analyse data from a focused ethnographic study of seven TFAs in a research-intensive university. The Activity Centred Analysis and Design…
Descriptors: Authentic Learning, Learning Analytics, Learning Processes, Instructional Design
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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
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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
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Kaliisa, Rogers; Mørch, Anders I.; Kluge, Anders – Technology, Knowledge and Learning, 2022
The literature until 2020 has forecasted a significant uptake of learning analytics (LA) to support learning design in higher education. However, there remain only a few investigations into teachers' course design practices and their perspectives on LA as a tool to support their design practices. This paper presents findings from an examination of…
Descriptors: Learning Analytics, College Faculty, Teacher Attitudes, Instructional Design
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Zhang, Shu; Yi, Jidong; Li, Zijie; Yang, Minghong – International Journal of Information and Communication Technology Education, 2022
In this paper, CiteSpace is used to conduct metrological and visual analysis of the core journals of blended learning research (2003-2021) collected by the China National Knowledge Infrastructure (CNKI). The results show that the number of studies on blended learning in China is increasing year by year, which indicates that the research on blended…
Descriptors: Foreign Countries, Blended Learning, Educational Research, Educational Trends
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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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Fan, Yizhou; Matcha, Wannisa; Uzir, Nora'ayu Ahmad; Wang, Qiong; Gaševic, Dragan – International Journal of Artificial Intelligence in Education, 2021
The importance of learning design in education is widely acknowledged in the literature. Should learners make effective use of opportunities provided in a learning design, especially in online environments, previous studies have shown that they need to have strong skills for self-regulated learning (SRL). The literature, which reports the use of…
Descriptors: Learning Analytics, Instructional Design, Independent Study, Multivariate Analysis
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Banihashem, Seyyed Kazem; Noroozi, Omid; Khaneh, Marzieh Parvaneh Akhteh – International Society for Technology, Education, and Science, 2021
There is a growing body of research on using learning analytics in an online constructivist learning environment to improve students' engagement and self-regulation. However, little is known to what extent female and male students differ in their engagement and self-regulation in an online Constructivist Learning Design and Learning Analytics…
Descriptors: Foreign Countries, Graduate Students, Online Courses, Constructivism (Learning)
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Vázquez-Cano, Esteban; Quicios-García, María-Pilar; Fombona, Javier; Rodríguez-Arce, Jorge – Education and Information Technologies, 2023
The main objective of this research is to determine the perception of teachers about the elements that increases the educational effectiveness of gamified apps in primary education. A methodology based on an importance-performance analysis was developed, using a structural equations model to calculate the degree of importance of each variable. The…
Descriptors: Instructional Design, Computer Oriented Programs, Gamification, Elementary Education
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Li, Shuang; Wang, Shuang; Du, Junlei; Pei, Yu; Shen, Xinyi – Journal of Computer Assisted Learning, 2022
Background: Failure to effectively organize and manage learning time is an important factor influencing online learners' performance. Investigation of time-investment patterns for online learning will provide educators with useful knowledge of how learners engage in and regulate their online learning and support them in tailoring online course…
Descriptors: Online Courses, Time Management, Time Factors (Learning), Learning Strategies
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Kaliisa, Rogers; Kluge, Anders; Mørch, Anders I. – Journal of Learning Analytics, 2020
Learning analytics (LA) constitutes a key opportunity to support learning design (LD) in blended learning environments. However, details as to how LA supports LD in practice and information on teacher experiences with LA are limited. This study explores the potential of LA to inform LD based on a one-semester undergraduate blended learning course…
Descriptors: Learning Analytics, Instructional Design, Decision Making, Blended Learning
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Zotou, Maria; Tambouris, Efthimios; Tarabanis, Konstantinos – Educational Technology Research and Development, 2020
Problem based learning (PBL) supports the development of transversal skills and could underpin the training of a workforce competent to withstand the constant generation of new information. However, the application of PBL is still facing challenges, as educators are usually unsure how to structure student-centred courses, how to monitor students'…
Descriptors: Problem Based Learning, Data Use, Learning Analytics, Skill Development
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Prinsloo, Paul, Ed.; Slade, Sharon, Ed.; Khalil, Mohammad, Ed. – SpringerBriefs in Open and Distance Education, 2022
This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the "data revolution" and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book's…
Descriptors: Learning Analytics, Distance Education, Futures (of Society), Teaching Methods
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Sun, Susan Y. H. – Computer Assisted Language Learning, 2021
The purpose of this paper is to present a specific case of CALL task design adopting the patterns-based learning design approach. The approach provides a common framework/vocabulary for educational designers, particularly teachers, to systematically capture, articulate, make explicit, share and reuse expert knowledge of teaching and good design.…
Descriptors: Teaching Methods, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
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