scholarly journals From students with love: An empirical study on learner goals, self-regulated learning and sense-making of learning analytics in higher education

2020 ◽  
Vol 47 ◽  
pp. 100758 ◽  
Author(s):  
Ioana Jivet ◽  
Maren Scheffel ◽  
Marcel Schmitz ◽  
Stefan Robbers ◽  
Marcus Specht ◽  
...  
Keyword(s):  
Higher Education ◽  
Empirical Study ◽  
Learning Analytics ◽  
Sense Making ◽  
Self Regulated Learning ◽  
Regulated Learning

scholarly journals Students’ sense-making of personalised feedback based on learning analytics

2020 ◽  
Vol 36 (6) ◽  
pp. 15-33
Author(s):  
Lisa-Angelique Lim ◽  
Shane Dawson ◽  
Dragan Gašević ◽  
Srećko Joksimović ◽  
Anthea Fudge ◽  
...  
Keyword(s):  
Student Perceptions ◽  
Learning Strategies ◽  
Learning Analytics ◽  
Learning Processes ◽  
Learning Goals ◽  
Sense Making ◽  
Self Regulated Learning ◽  
Technological Advances ◽  
Regulated Learning ◽  
Personalised Feedback

Although technological advances have brought about new opportunities for scaling feedback to students, there remain challenges in how such feedback is presented and interpreted. There is a need to better understand how students make sense of such feedback to adapt self-regulated learning processes. This study examined students’ sense-making of learning analytics–based personalised feedback across four courses. Results from a combination of thematic analysis and epistemic network analysis show an association between student perceptions of their personalised feedback and how these map to subsequent self-described self-regulated learning processes. Most notably, the results indicate that personalised feedback, elaborated by personal messages from course instructors, helps students refine or strengthen important forethought processes of goal-setting, as well as to reduce procrastination. The results highlight the need for instructors to increase the dialogic element in personalised feedback in order to reduce defensive reactions from students who hold to their own learning strategies. This approach may prompt reflection on the suitability of students’ current learning strategies and achievement of associated learning goals. Implications for practice or policy: Personalised feedback based on learning analytics should be informed by an understanding of students’ self-regulated learning. Instructors implementing personalised feedback should align this closely with the course curriculum. Instructors implementing personalised feedback in their courses should consider the relational element of feedback by using a positive tone. Personalised feedback can be further enhanced by increasing the dialogic element and by including more information about learning strategies.

Breaking the code: barriers affecting inclusive thinking-HETL Scotland 2017

2018 ◽  
Vol 10 (2) ◽  
pp. 118-129
Author(s):  
Linda Carol Algozzini ◽  
Valencia Lavon Gabay ◽  
Shannon D. Voyles ◽  
Kimberly Bessolo ◽  
Grady Batchelor
Keyword(s):  
Higher Education ◽  
First Century ◽  
Individual Student ◽  
Change Model ◽  
Participatory Action ◽  
Content Type ◽  
Self Regulated Learning ◽  
Group Coaching ◽  
Regulated Learning

Purpose This case study reviews a group coaching and mentoring (GCM) change model and its significance in dissolving barriers and promoting equity in virtual learning environments. The purpose of this paper is to examine the model’s approach to shifting instructor mindsets to align with institutional core values and initiatives that best serve a twenty-first century adult learner. Design/methodology/approach The change model, grounded in GCM, metacognition, self-regulated learning, and community of practice theory, incorporates participatory action research design focusing on cycles of action, reflection, and evaluation. Findings This study illustrates the change model’s success in moving educators toward deeper understanding of self and individual student differences. It further showcases how professionals adapt and improve practices using self-regulated learning and metacognition to better serve the population they teach. Practical implications The GCM framework improved engagement. The design, while implemented in a higher education arena, is applicable to other entities seeking to bridge gaps using metacognition and self-regulated learning to become adaptable and inclusive. Originality/value The change model, recipient of one of this year’s Effective Practice Awards from the Online Learning Consortium (2017), is recognized for innovation and replicability in and beyond higher education.

scholarly journals Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning

2021 ◽  
Author(s):  
Yizhou Fan ◽  
Wannisa Matcha ◽  
Nora’ayu Ahmad Uzir ◽  
Qiong Wang ◽  
Dragan Gašević
Keyword(s):  
Learning Analytics ◽  
High Performance ◽  
Process Mining ◽  
Learning Experience ◽  
Learning Design ◽  
Metacognitive Control ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
High Level ◽  
Evaluation Of Learning

AbstractThe 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 learning analytics (LA), shows that SRL skills are best exhibited in choices of learning tactics that are reflective of metacognitive control and monitoring. However, in spite of high significance for evaluation of learning experience, the link between learning design and learning tactics has been under-explored. In order to fill this gap, this paper proposes a novel learning analytic method that combines three data analytic techniques, including a cluster analysis, a process mining technique, and an epistemic network analysis. The proposed method was applied to a dataset collected in a massive open online course (MOOC) on teaching in flipped classrooms which was offered on a Chinese MOOC platform to pre- and in-service teachers. The results showed that the application of the approach detected four learning tactics (Search oriented, Content and assessment oriented, Content oriented and Assessment oriented) which were used by MOOC learners. The analysis of tactics’ usage across learning sessions revealed that learners from different performance groups had different priorities. The study also showed that learning tactics shaped by instructional cues were embedded in different units of study in MOOC. The learners from a high-performance group showed a high level of regulation through strong alignment of the choices of learning tactics with tasks provided in the learning design. The paper also provides a discussion about implications of research and practice.

Using learning analytics to explore self-regulated learning in flipped blended learning music teacher education

2017 ◽  
Vol 50 (1) ◽  
pp. 114-127 ◽  
Author(s):  
Amanda P. Montgomery ◽  
Amin Mousavi ◽  
Michael Carbonaro ◽  
Denyse V. Hayward ◽  
William Dunn
Keyword(s):  
Teacher Education ◽  
Blended Learning ◽  
Learning Analytics ◽  
Music Teacher ◽  
Music Teacher Education ◽  
Self Regulated Learning ◽  
Regulated Learning
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