From Analysis to Improvement: Challenges and Opportunities for Learning Analytics

2016 ◽  
Vol 11 (3) ◽  
pp. 146-147 ◽  
Author(s):  
Mariluz Guenaga ◽  
Pablo Garaizar
Keyword(s):  
Learning Analytics ◽  
Opportunities For Learning ◽  
Challenges And Opportunities

scholarly journals Learning Analytics for Primary and Secondary Schools

2021 ◽  
Vol 8 (2) ◽  
pp. 1-5
Author(s):  
Vitomir Kovanovic ◽  
Claudia Mazziotti ◽  
Jason Lodge
Keyword(s):  
Learning Analytics ◽  
Tertiary Education ◽  
Special Section ◽  
School Context ◽  
School Settings ◽  
Opportunities For Learning ◽  
Challenges And Opportunities ◽  
Improving Student Learning ◽  
Data Driven Decisions ◽  
Future Work

Over the past decade, the increasing use of learning analytics opened the possibility of making data-driven decisions for improving student learning. Driven by the strong university adoption of learning analytics, most early learning analytics research focused on issues specific to tertiary education. With the broader adoption of educational technologies in primary and secondary education and the emergence of new classroom-focused technologies, there has been a growing awareness of the potentials of learning analytics for supporting students and diagnosing their learning progress in pre-university contexts. This special section focused on investigating, developing, and evaluating state-of-the-art learning analytics approaches within primary and secondary school settings. In this editorial, we summarize the papers of the special section and discuss the challenges and opportunities for learning analytics within the school context. We conclude with the discussion around the opportunities for future work and the implications of this special section for the field of learning analytics.

New Personal Learning Ecosystems

2019 ◽  
pp. 1-19
Author(s):  
Helene Fournier ◽  
Rita Kop ◽  
Heather Molyneaux
Keyword(s):  
Learning Experience ◽  
Learning Needs ◽  
Experience Design ◽  
Privacy Concerns ◽  
Personal Learning ◽  
Open Networks ◽  
Opportunities For Learning ◽  
New Learning ◽  
Challenges And Opportunities ◽  
Research Findings

This chapter highlights over a decade of literature and research findings related to new learning ecosystems such as personal learning environments including MOOCs. New structures and environments are now in place that provide opportunities for learning in open networks, but important challenges and issues persist. This chapter also highlights challenges and opportunities in the design and development of MOOC learning experience design, conditions that must exist for people to be involved and engaged in a connectivist learning environment, challenges related to personalization and support of individual learning needs, along with new ethical and privacy concerns related to the safeguarding of data in networked environments. In conclusion, further research in areas of machine-learning AI in data-driven learning systems is discussed with emphasis on human factors such as motivation, incentives, and support that encourage course participation and learning.

scholarly journals Experiential Partnerships Enhance Student Learning during Construction of Campus Gardens

HortScience ◽  
2005 ◽  
Vol 40 (4) ◽  
pp. 1134A-1134
Author(s):  
Dan Stearns ◽  
Martin McGann
Keyword(s):  
Project Management ◽  
Construction Projects ◽  
Professional Staff ◽  
Physical Plant ◽  
Construction Techniques ◽  
Time Period ◽  
Opportunities For Learning ◽  
Challenges And Opportunities ◽  
Penn State ◽  
Enhance Student Learning

Students in a Penn State landscape contracting class were involved in the construction of the Hintz Alumni Gardens from Nov. 2002 through Apr. 2005. While campus construction projects have long been a part of the curriculum, the scope and complexity of the Alumni Gardens created unique challenges and opportunities for learning. The project was broken into phases that were installed over a 3-year time period. Professional staff from the University's Office of Physical Plant, including landscape supervisors, masons, electricians, plumbers, and carpenters, were integrated into course activities. They worked with students during planning phases and throughout field operations. Students learned first-hand from experts who had years of experience in their discipline. In addition, three contractors were hired to lead activities in specific areas of bridge construction, pond construction, and irrigation installation. This unique collaboration exposed students to a wide variety of construction techniques, and gave them experience in project management, scheduling, and procurement. The end result of their efforts was a successfully completed garden installation.

scholarly journals Complexity leadership in learning analytics: Drivers, challenges and opportunities

2019 ◽  
Vol 50 (6) ◽  
pp. 2839-2854 ◽  
Author(s):  
Yi‐Shan Tsai ◽  
Oleksandra Poquet ◽  
Dragan Gašević ◽  
Shane Dawson ◽  
Abelardo Pardo
Keyword(s):  
Learning Analytics ◽  
Complexity Leadership ◽  
Challenges And Opportunities

scholarly journals Sustainable development and cross-disciplinary research education: Challenges and opportunities for learning

2020 ◽  
Vol 10 (1) ◽  
pp. 76
Author(s):  
Malin Mobjörk ◽  
Camilla Berglund ◽  
Mikael Granberg ◽  
Magnus Johansson
Keyword(s):  
Sustainable Development ◽  
Education Research ◽  
Intellectual Development ◽  
Large Body ◽  
Research Education ◽  
Learning Contexts ◽  
Opportunities For Learning ◽  
Challenges And Opportunities ◽  
Pedagogical Research ◽  
Education Process

It is widely accepted that cross-disciplinarity influences education in issues of sustainability and sustainable development. However, despite a large body of research on cross-disciplinarity, less attention has been given to how it shapes research education. Research education is a formative phase in a researcher’s intellectual development and this article considers the whole research education process, including both its formal and informal aspects. It explores this arena and builds on the experiences of PhD candidates engaged in research education characterised by cross-disciplinarity in the realm of sustainable development. Drawing on pedagogical research on socialisation, this article examines how research education is organised in four research milieus and the experiences of PhD candidates pursuing their education in these learning contexts. The aim is to provide insights into how these research milieus can facilitate future cross-disciplinary research education on sustainable development. The analysis finds that in research milieus that provide courses and seminars about cross-disciplinarity, PhD candidates are more confident in situating their own research. The engagement of senior staff and supervisors in these activities is also key to develop a conceptual apparatus and building the capacity to interact with different disciplines and practitioners. Furthermore, the findings show the importance of communicating about cross-disciplinarity throughout the research education process, starting when PhD candidates are recruited and supervisors are appointed.

scholarly journals Learning Analytics: A Case Study of the Process of Design of Visualizations

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Martin Olmos ◽  
Linda Corrin
Keyword(s):  
Student Engagement ◽  
Continuity Of Care ◽  
Curriculum Design ◽  
Learning Analytics ◽  
Learning Experience ◽  
Learning Support ◽  
Intended Audience ◽  
Opportunities For Learning ◽  
Final Design

The ability to visualize student engagement and experience data provides valuable opportunities for learning support and curriculum design. With the rise of the use of learning analytics to provide “actionable intelligence” [1] on students’ learning, the challenge is to create visualisations of the data which are clear and useful to the intended audience. This process of finding the best way to visually represent data is often iterative, with many different designs being trialled before the final design is settled upon. This paper presents a case study of the process of refining a visualization of students’ learning experience data. In this case the aim was to create a visual representation of the continuity of care students were exposed to during a longitudinal placement as part of a medical degree. The process of visualization refinement is outlined as well as the lessons learnt along the way.

Sign in / Sign up

Export Citation Format

Share Document