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Normandeau, Magdalen; Kolomitro, Klodiana; Maher, Patrick T. – Canadian Journal for the Scholarship of Teaching and Learning, 2020
The path to publication is often long, emotional, and bewildering. We share key insights from our experience as authors, educators, and members of the editorial board with The Canadian Journal for the Scholarship of Teaching and Learning that we hope will help authors better understand and navigate the path to publication. In writing a compelling…
Descriptors: Writing for Publication, Scholarship, Instruction, Learning
Klašnja-Milicevic, Aleksandra; Ivanovic, Mirjana – Informatics in Education, 2018
Amount of educational data has been constantly increasing for years in all domains and kinds of education (formal or informal) and educational activities (teaching, learning, assessment, use of social media and collaboration and so on). Accordingly, Learning Analytics (LA) become a powerful mechanism for supporting learners, instructors, teachers,…
Descriptors: Data Analysis, Learning, Technology Uses in Education, Higher Education
Tsai, Yi-Shan; Moreno-Marcos, Pedro Manuel; Jivet, Ioana; Scheffel, Maren; Tammets, Kairit; Kollom, Kaire; Gaševic, Dragan – Journal of Learning Analytics, 2018
This paper introduces a learning analytics policy and strategy framework developed by a cross-European research project team -- SHEILA (Supporting Higher Education to Integrate Learning Analytics), based on interviews with 78 senior managers from 51 European higher education institutions across 16 countries. The framework was developed adapting…
Descriptors: Data Analysis, Learning, Educational Policy, Higher Education
Ifenthaler, Dirk – TechTrends: Linking Research and Practice to Improve Learning, 2017
Higher education institutions and involved stakeholders can derive multiple benefits from learning analytics by using different data analytics strategies to produce summative, real-time, and predictive insights and recommendations. However, are institutions and academic as well as administrative staff prepared for learning analytics? A learning…
Descriptors: Higher Education, Learning, Data Analysis, Technology Uses in Education
Bronnimann, Jurg; West, Deborah; Huijser, Henk; Heath, David – Innovative Higher Education, 2018
In this article we report on the findings of a project funded by the Australian Office for Learning and Teaching and entitled "Learning Analytics: Assisting Universities with Student Retention." While this project was primarily focused on retention as a potential outcome of learning analytics, its application could be related to the…
Descriptors: Scholarship, Instruction, Learning, Foreign Countries
Mahzoon, Mohammad Javad; Maher, Mary Lou; Eltayeby, Omar; Dou, Wenwen; Grace, Kazjon – Journal of Learning Analytics, 2018
Data models built for analyzing student data often obfuscate temporal relationships for reasons of simplicity, or to aid in generalization. We present a model based on temporal relationships of heterogeneous data as the basis for building predictive models. We show how within- and between-semester temporal patterns can provide insight into the…
Descriptors: Data Analysis, Learning, Models, Time
Pardo, Abelardo; Jovanovic, Jelena; Dawson, Shane; Gaševic, Dragan; Mirriahi, Negin – British Journal of Educational Technology, 2019
There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this…
Descriptors: Learning, Data Analysis, Feedback (Response), Technology Uses in Education
Scott, John; Nichols, T. Philip – Research in Education, 2017
Recently, the possibilities for leveraging "big data" in research and pedagogy have given rise to the growing field of "learning analytics" in online education. While much of this work has focused on quantitative metrics, some have called for critical perspectives that interrogate such data as an interplay between technical…
Descriptors: Learning, Data Analysis, Electronic Learning, Online Courses
Sun, Jerry Chih-Yuan; Lin, Che-Tsun; Chou, Chien – International Review of Research in Open and Distributed Learning, 2018
This study aims to apply a sequential analysis to explore the effect of learning motivation on online reading behavioral patterns. The study's participants consisted of 160 graduate students who were classified into three group types: low reading duration with low motivation, low reading duration with high motivation, and high reading duration…
Descriptors: Student Motivation, Student Behavior, Reading, Behavior Patterns
Schumacher, Clara; Ifenthaler, Dirk – International Association for Development of the Information Society, 2016
In higher education settings more and more learning is facilitated through online learning environments. To support and understand students' learning processes better, learning analytics offers a promising approach. The purpose of this study was to investigate students' expectations toward features of learning analytics systems. In a first…
Descriptors: College Students, Expectation, Qualitative Research, Interviews
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
Khan, Osama – International Association for Development of the Information Society, 2017
This paper depicts a perceptual picture of learning analytics based on the understanding of learners and teachers at the SSU as a case study. The existing literature covers technical challenges of learning analytics (LA) and how it creates better social construct for enhanced learning support, however, there has not been adequate research on…
Descriptors: Learning, Data Analysis, Foreign Countries, College Students
Divan, Aysha; Ludwig, Lynn O.; Matthews, Kelly E.; Motley, Phillip M.; Tomljenovic-Berube, Ana M. – Teaching & Learning Inquiry, 2017
The Scholarship of Teaching and Learning (SoTL) has been described as the fastest growing academic development movement in higher education. As this field of inquiry matures, there is a need to understand how SoTL research is conducted. The purpose of our study was to inform this debate by investigating research approaches used in SoTL…
Descriptors: Research Methodology, Scholarship, Publications, Journal Articles
Martinez-Maldonado, Roberto; Pardo, Abelardo; Mirriahi, Negin; Yacef, Kalina; Kay, Judy; Clayphan, Andrew – Journal of Learning Analytics, 2015
Designing, validating, and deploying learning analytics tools for instructors or students is a challenge that requires techniques and methods from different disciplines, such as software engineering, human-computer interaction, computer graphics, educational design, and psychology. Whilst each has established its own design methodologies, we now…
Descriptors: Data Analysis, Learning, Design, Validity
Bonney, Kevin M. – International Journal for the Scholarship of Teaching and Learning, 2018
This essay reflects upon lessons learned from engaging students as partners in the scholarship of teaching and learning (SoTL). The pedagogical research question addressed by this project was: Does the case study teaching method promote student engagement and learning in an introductory biology course? Student partners were actively involved in…
Descriptors: Student Participation, Scholarship, Instruction, Learning