Learning Design for Student Retention

Student retention is an issue of increasing interest to higher education institutions, educators and students. Much of the work in this area focuses on identifying and improving interventions that occur during the presentation of a course. This paper suggests that these represent only one set of factors that can influence student withdrawal, and equally important are design based factors that can aid retention throughout the course. The main research question addressed by the paper is what design-related factors impact on student retention. An analysis of student withdrawal at the UK Open University conducted by the researchers produced a synthesis of seven key factors in the design phase that can influence retention. These factors have been given the ICEBERG acronym: Integrated, Collaborative, Engaging, Balanced, Economical, Reflective and Gradual. Examples of how these factors can be implemented are provided, and conclusions focus on how the model has been embedded in the module production process at the Open University

A review of ten years of implementation and research in aligning learning design with learning analytics at the Open University UK

There is an increased recognition that learning design drives both student learning experience and quality enhancements of teaching and learning. The Open University UK (OU) has been one of few institutions that have explicitly and systematically captured the designs for learning at a large scale. By applying advanced analytical techniques on large and fine-grained datasets, the OU has been unpacking the complexity of instructional practices, as well as providing conceptual and empirical evidence of how learning design influences student behaviour, satisfaction, and performance. This study discusses the implementation of learning design at the OU in the last ten years, and critically reviews empirical evidence from eight recent large-scale studies that have linked learning design with learning analytics. Four future research themes are identified to support future adoptions of learning design approaches

Unravelling the dynamics of learning design within and between disciplines in higher education using learning analytics

Designing effective learning experience in virtual learning environment (VLE) can be supported by learning analytics (LA) through explicit feedback on how learning design (LD) influences students’ engagement, satisfaction and performance. Marrying LA with LD not only puts existing pedagogical theories in instructional design to the test with actual learning data, but also provides the context of learning which helps educators translate established LA findings to direct interventions. My dissertation aims at unpacking the complexity of LD and its impact on students’ engagement, satisfaction and performance on VLE using LA. The context of this study is 400+ online and blended learning modules at the Open University (OU) UK. This research combines multiple sources of data from the OU Learning Design Initiative (OULDI), system log data, self-reported surveys, and performance data. Given the scope of this study, a wide range of visualization techniques, social network analysis, multi-level modelling, and machine learning will be used

Ascertaining the impact of endogenous and exogenous factors on the performance of students taking non-specialist accounting courses

This study aims to evaluate the potential determinants of academic performance of non-specialist accounting students. Considering both actual and initially expected performance, in conjunction with students’ learning styles and preferences, we use two econometric methods - Ordinal Probit and Ordinary Least Squared - in order to investigate and assess the impact of endogenous and the exogenous factors on the students’ academic achievement. Eventually, based on the results of our estimations, and by dividing the non-specialist students into segments, according to their demographic characteristics, we run a series of simulations to estimate empirically the likelihood of the students to report an academic performance weaker, in line, better, and considerably better than what they expected

Sustainable eLearning in a Changing Landscape: A Scoping Study (SeLScope)

The report begins by exploring the concept of sustainable e-learning - defining it and establishing its characteristics in the context of Higher Education. To ensure a sound and systematic process, the review is informed by a five-phase methodological framework for scoping reviews by Arksey and O'Malley (2005). Examples and perspectives on the concept of sustainable e-learning are summarised and key factors impacting on sustainability are abstracted. highlights potential gaps and suggests directions for further research on the topic

Transforming pedagogy using mobile Web 2.0

Blogs, wikis, podcasting, and a host of free, easy to use Web 2.0 social software provide opportunities for creating social constructivist learning environments focusing on student-centred learning and end-user content creation and sharing. Building on this foundation, mobile Web 2.0 has emerged as a viable teaching and learning tool, facilitating engaging learning environments that bridge multiple contexts. Today’s dual 3G and wifi-enabled smartphones provide a ubiquitous connection to mobile Web 2.0 social software and the ability to view, create, edit, upload, and share user generated Web 2.0 content. This article outlines how a Product Design course has moved from a traditional face-to-face, studio-based learning environment to one using mobile Web 2.0 technologies to enhance and engage students in a social constructivist learning paradigm. Keywords: m-learning; Web 2.0; pedagogy 2.0; social constructivism; product desig