scholarly journals Learning Analytics – A Growing Field and Community Engagement

2015 ◽  
Vol 2 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Dragan Gasevic ◽  
Shane Dawson ◽  
Negin Mirriahi ◽  
Phillip D. Long
Keyword(s):  
Learning Analytics ◽  
Special Section ◽  
Educational Data Mining ◽  
Technology Enhanced Learning ◽  
Research Papers ◽  
Learning And Teaching ◽  
Self Regulated Learning ◽  
Cyber Learning ◽  
Enhanced Learning ◽  
Important Activity

This editorial discusses events that marked the period since the publication of the previous issue – the 5th International Conference on Learning Analytics and Knowledge (LAK 2015), Learning Analytics Summer Institutes (LASIs 2015), and Learning Analytics Policy Briefing in the European Parliament. This period saw releases of two important publications for system-wide implementation of learning analytics in higher education published by Jisc and the Australian Government’s Office for Learning and Teaching. An important recognition of the maturation of the field of learning analytics is the recent publication of the 2015 Google Scholar Metrics identifying the LAK proceedings as the only conference proceedings among the 20 most cited publication venues in educational technology. Building bridges for enhancing impact is another important activity for the field maturation through developing linkages of learning analytics with educational data mining, user modeling, the learning sciences, technology enhanced learning, cyber-learning, and learning at scale. This editorial also introduces a special section published in this issue dedicated to the exploration of connections between self-regulated learning and learning analytics, introduces two regular research papers featured in this issue and describes several special sections that will be published in future issues of the journal.

Forschungsfeld Learning Analytics

i-com ◽  
2012 ◽  
Vol 11 (1) ◽  
pp. 22-25 ◽  
Author(s):  
Mohamed Amine Chatti ◽  
Anna Lea Dyckhoff ◽  
Ulrik Schroeder ◽  
Hendrik Thüs
Keyword(s):  
Learning Process ◽  
Learning Analytics ◽  
Future Trend ◽  
Educational Institutions ◽  
Technology Enhanced Learning ◽  
Research Opportunities ◽  
Learning And Teaching ◽  
Process Learning ◽  
Enhanced Learning

Summary Learning analytics has attracted a great deal of attention in technology enhanced learning (TEL) in recent years as educational institutions and researchers are increasingly seeing the potential that learning analytics has to support the learning process. Learning analytics has been identified as a possible key future trend in learning and teaching (Johnson et al., 2011). Analytics can be a powerful tool to support learning. There are, however, a number of issues that need to be addressed before starting analytics projects. In this paper, we identify various challenges and research opportunities in the emerging area of learning analytics.

scholarly journals Self-Regulated Learning and Technology-Enhanced Learning Environments in Higher Education: A Scoping Review

2021 ◽  
Vol 13 (13) ◽  
pp. 7281
Author(s):  
Santos Urbina ◽  
Sofía Villatoro ◽  
Jesús Salinas
Keyword(s):  
Higher Education ◽  
Technology Enhanced Learning ◽  
Research Papers ◽  
Exclusion Criteria ◽  
Scientific Databases ◽  
Self Regulated Learning ◽  
Use Of Technology ◽  
Regulated Learning ◽  
Enriched Environments ◽  
Enhanced Learning

This paper seeks to identify the characteristics of studies of self-regulated learning that consider the use of technology-enriched environments in higher education. To this end, a review was conducted of the scientific literature during the period 2015–2021 in various scientific databases. The analysis identified 42 research papers that met the inclusion and exclusion criteria. The results show that this topic has been gaining interest among researchers and the main strategies developed to self-regulate students in academic virtual environments. On the other hand, classical self-regulated learning models underpin most of the studies reviewed; Zimmermann’s approaches, or those derived from his work, are the most frequent. As regards the methodology adopted, the preferred focus is quantitative; the questionnaire is the most used for data collection. Most of the research was carried out with students studying for different university degrees; the most-analysed technology tools were LMS platforms.

SRL/SDL and Technology-Enhanced Learning

2010 ◽  
pp. 396-412
Author(s):  
Jane Pilling-Cormick
Keyword(s):  
Learner Control ◽  
Technology Enhanced Learning ◽  
Self Directed Learning ◽  
Comprehensive Overview ◽  
Web Based ◽  
Research Framework ◽  
Self Regulated Learning ◽  
Directed Learning ◽  
One Step ◽  
Enhanced Learning

When exploring the central role control plays in implementing technology-enhanced learning initiatives, it is essential to take into consideration self-regulated learning (SRL) and self-directed learning (SDL). Pilling-Cormick & Garrison’s (2007) work provides a research framework which includes a comprehensive overview of how SRL and SDL are integrally related. In this chapter, the connection is taken one step further by using the framework to explore SRL/SDL Technology-Enhanced learning. Implications for practice are derived from three exploratory studies using technology-enhanced learning (handheld, web-based, and online) with a focus on learner control. Solutions and recommendations arise, including considerations for designing instruction with a focus on learner control as it relates to technology.

Measuring and Profiling Self-Regulated Learning in the Online Environment

2010 ◽  
pp. 27-38 ◽  
Author(s):  
Lucy Barnard-Brak ◽  
William Y. Lan ◽  
Valerie Osland Paton
Keyword(s):  
Higher Education ◽  
Academic Achievement ◽  
Learning Environments ◽  
Social Cognitive ◽  
Future Research ◽  
Technology Enhanced Learning ◽  
Cognitive Perspective ◽  
Self Regulated Learning ◽  
Enhanced Learning

While the presence of technology-enhanced learning environments (TELEs) will only increase in higher education, this book chapter examines current literature concerning the measurement of online SRL behaviors and the application of this online SRL measurement with regard to profiling SRL behaviors in TELEs. The methodologies and issues associated with the measurement of SRL behaviors in TELEs is discussed in view of extant research. The organization of SRL behaviors into five, distinct profiles is then discussed in view of a social cognitive perspective concerning the development of SRL (e.g. Zimmerman & Schunk, 2001). The book chapter concludes with recommendations for future research concerning the presence of SRL profiles and their relationship to other metacognitive factors and academic achievement.

scholarly journals Experiences and perspectives of Technology-enhanced learning and teaching in higher education – Serbian case

2018 ◽  
Vol 126 ◽  
pp. 1351-1359 ◽  
Author(s):  
Mirjana Ivanović ◽  
Aleksandra Klašnja Milićević ◽  
Veljko Aleksić ◽  
Brankica Bratić ◽  
Milinko Mandić
Keyword(s):  
Higher Education ◽  
Technology Enhanced Learning ◽  
Learning And Teaching ◽  
Teaching In Higher Education ◽  
Enhanced Learning

scholarly journals Blurring Boundaries in Education: Context and Impact of MOOCs

2016 ◽  
Vol 17 (3) ◽  
Author(s):  
Johan Loeckx
Keyword(s):  
Informal Learning ◽  
Technology Enhanced Learning ◽  
Learning And Teaching ◽  
Personal Learning ◽  
For Profit ◽  
Excellent Research ◽  
Formal And Informal Learning ◽  
Technological Context ◽  
The Many ◽  
Enhanced Learning

<p>The opinions on MOOCs go to extremes, covering a wide variety of topics, affecting economy, pedagogy, and computer science which makes it hard to keep oversight. Despite the many excellent research reports and articles, an overview of the bigger picture, providing a holistic qualitative summary of the different opinions, is still very welcome. Special attention is given to the broader social, cultural, and technological context in which these developments come about. In this paper, it is discussed how the educational industry  has received a “wake up call” provoking a global discussion on learning and teaching, accordingly disturbing established boundaries between formal and informal learning, public and for-profit education, teachers and learners and quite intriguingly, between software and teaching practices. Golden opportunities for Artificial Intelligence and Technology Enhanced Learning are unfolding, evidenced by the digitalization movement of education, gamification, and the stringent need for massively scalable (and therefore computerized) personal learning experiences.</p>

scholarly journals A Model for Discussing the Quality of Technology-Enhanced Learning in Blended Learning Programmes

2017 ◽  
Vol 9 (4) ◽  
pp. 1-20 ◽  
Author(s):  
Diogo Casanova ◽  
António Moreira
Keyword(s):  
Higher Education ◽  
Blended Learning ◽  
Course Design ◽  
Technology Enhanced Learning ◽  
Learning And Teaching ◽  
Grounded Theory Method ◽  
Use Of Technology ◽  
Face To Face Learning ◽  
Enhanced Learning

This paper presents a comprehensive model for supporting informed and critical discussions concerning the quality of Technology-Enhanced Learning in Blended Learning programmes. The model aims to support discussions around domains such as how institutions are prepared, the participants' background and expectations, the course design, and the learning process. The research that supported the design of this model was framed by a Grounded Theory method, combining different approaches to empirical data collection with a review of evaluation models on aspects of the quality of Online and Distance Learning. Throughout the paper, arguments are made that Higher Education institutions need to be more critical with regard to the use of Technology-Enhanced Learning, and to support it as a counterpart to face-to-face learning and teaching. The model provides a framework for teachers in Higher Education to reflect and discuss the quality of Technology-Enhanced Learning in their Blended Learning programmes.

scholarly journals Staff experience and attitudes towards Technology Enhanced Learning initiatives in one Faculty of Health & Life Sciences

2014 ◽  
Vol 22 ◽  
Author(s):  
Peter Reed
Keyword(s):  
Virtual Learning Environment ◽  
Teaching Staff ◽  
Technology Enhanced Learning ◽  
Learning Technology ◽  
Online Questionnaire ◽  
Learning And Teaching ◽  
Minimum Standards ◽  
Online Submission ◽  
Attitudes Towards Technology ◽  
Enhanced Learning

Further to earlier work carried out by the student union (SU) along with strategic discussions regarding technology-enhanced learning (TEL), this research aimed to identify the attitudes and experience of teaching staff in relation to specific uses of technology in learning and teaching. Data obtained through an online questionnaire (n=100) suggest that teaching staff are generally agreeable to the need for consistency in the virtual learning environment and identify specific criteria to be included within ‘minimum standards’; have some experience and interest in solutions to enable online submission, marking and feedback; and whilst there is more resistance, there was still interest in the provision of recorded lectures. Respondents overwhelmingly identified lack of time as a significant barrier to engaging with TEL, as well as other factors such as lack of skills and support.Keywords: attitudes; experience; TEL; minimum standards; lecture capture; online submission; e-marking(Published: 22 September 2014)Citation: Research in Learning Technology 2014, 22: 22770 - http://dx.doi.org/10.3402/rlt.v22.22770

Sign in / Sign up

Export Citation Format

Share Document