Monday

Addressing inconsistency in use of the LMS: A collaborative approach

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Elizabeth Masterman
University of Oxford, UK
@acitoxford

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Monday 4 December, 10.30am - 11am
Stream 1
Room H102

Abstract

Inconsistency in the use of the learning management system (LMS) by academic staff is a source of dissatisfaction among university students in the UK. One solution is to establish a set of minimum standards (or baseline) for LMS use within an individual institution. Another is to supply templates – frameworks for LMS course sites – with a view to providing students with a seamless experience in their interactions with the LMS.

This paper describes how the issue of inconsistency was addressed at a leading research university in the UK through an exploratory project, WebLearn Improved Student Experience (WISE). The widespread devolution of responsibility for site management to administrative staff, together with the ‘maverick’ creation of course sites by those academics who chose to engage with the WebLearn LMS, had resulted in unevenness in students’ access to learning materials. The project team engaged in close collaboration with 19 departments in order to achieve the immediate purpose of improving uptake of, and consistency in, their LMS presence. The ultimate aim was to develop a support package comprising LMS templates and ‘best practice’ guidelines that would enable departments in the future to achieve the same objective, either unsupported or with minimal assistance from the central team of learning technologists. The project was evaluated using a modification of the Innovation Histories method. The evaluation findings additionally threw into relief the complex social and cultural factors at play that can inhibit a consistent student experience in an institutional LMS.

About the authors

Elizabeth Masterman

Liz Masterman holds a PhD in Educational Technology from the University of Birmingham, UK, and is a senior researcher in the Academic IT Services group at the University of Oxford. Her research focused initially on Learning Design; projects included an evaluation of LAMS, and the Phoebe Pedagogy Planner and Learning Designer tools. Liz has also conducted research into the student digital experience, OER and open educational practice. She is currently involved in three institutional projects: a review of the centrally supported LMS, a trial of electronic essay exams, and the design and implementation of a Learning Design model for Oxford. Other activities include editing the Academic IT Services blog and co-ordinating the annual OxTALENT competition, which rewards the creative use of technology in teaching, learning, research and outreach at the University. In 2015 Liz co-chaired the annual conference of the UK’s Association for Learning Technology.

by Mary-Anne Fiebig

Analysing the learning pathways of students in a large flipped engineering course

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Carl Reidsema
The University of Queensland
@ReidsemaC

Hassan Khosravi
The University of Queensland

Melanie Fleming
The University of Queensland
@melaniejfleming

Lydia Kavanagh
The University of Queensland
@Lydia64

Nick Achilles
The University of Queensland

Esther Fink
The University of Queensland

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Monday 4 December, 11.30am - 12pm
Stream 5
Room C204

Abstract

Recent advancements in educational technologies (learning management systems, online discussion forums, peer-learning tools) coupled with new methods of course delivery (e.g. blended, flipped, MOOCs) provide significant opportunities for universities to deliver challenging, high quality, yet engaging curriculum for students.

In this paper, we examine the variations and similarities of student’s approaches to learning (learning pathways) by examining how well they performed in a large (N ~ 1000 student) first year engineering flipped classroom. The analysis focused on student’s performance in their assessment (formative and summative) as well as their online interaction with a range of online tools purposely built to support students through peer learning and acquisition of resources and expertise. Analysis using k-means clustering reveals that students do in fact adopt a variety of successful pathways through the course. The unique aspects of this work lie in the use of analytics algorithms that whilst perhaps routinely utilised in data mining, are not as well utilised in better understanding patterns (successful or otherwise) of student interactions within a technology enhanced active learning environment that integrates theory with engineering practice.

About the authors

Carl Reidsema

Dr Reidsema’s work is centred around the notion of Transformational Change in Higher Education which is reflected by his success in securing grants and industry funding for research and development in this area exceeding $3M including a 2008 Australian Learning and Teaching Council (ALTC) Project ”Design based curriculum reform” and the 2013 Office of Learning and Teaching (OLT) Project ”Radical transformation: re-imagining engineering education through flipping the classroom in a global learning partnership” partnering with Stanford, Purdue, Pittsburgh, Sydney and RMIT universities. He has received numerous nominations and awards for teaching including the UNSW Vice Chancellor’s Teaching Excellence Award in 2006 and has over 60 peer-reviewed publications in engineering education and design. He is regularly invited to speak on the topic of transformational change and innovative curriculum at Universities and Industry events.

Hassan Khosravi

Dr Hassan Khosravi is a Senior Lecturer in the Institute for Teaching and Learning Innovation and an Affiliate Academic in the School of Information Technology and Electrical Engineering in the Faculty of Engineering, Architecture and Information Technology both at the University of Queensland. As a computer scientist by training, Hassan is passionate about the role of machine learning in the future of education. His research contributes to personalising education and translating traditional on-campus learning to authentic flexible learning in vibrant digital environments that better suit the needs and expectations of a digitally minded generation. In particular, his aim is to employ exemplary techniques from the fields of machine learning, data mining, learning analytics, and education to design, implement, validate and deliver solutions that use the digital footprints of learners towards improving students’ learning and enhancing their learning experience.

Melanie Fleming

Melanie’s research interests particularly focus on areas that enhance the student learning experience. These include first year pedagogy, and transitions to professional practice. She has developed novel methods to investigate student skills in programming, engineering and other disciplines drawing on social cognitive career theory, (particularly self-efficacy theory). Her current research interests involve linguistic analysis of student work drawing on sentiment analysis using computational linguistics and systemic functional linguistics techniques. She has worked on a number of projects to develop new learning technologies with student centred design principles. She has held consultant research and statistics positions in a variety of roles disciplines. Her previous work involved development of the first year experience, internationalisation of curriculum, work integrated learning and a range of other strategic priority areas. She is an educational researcher in the Faculty of Engineering, Architecture and Information Technology.

Lydia Kavanagh

Lydia combines professional engineering experience with a deep commitment to teaching, learning and leading in higher education. Her experience in industry allows her to embed authenticity in her teaching, and her commitment to HE has been recognised through Principal Fellowship with the Higher Education Academy.

In 2009, Lydia was appointed Director, First Year Engineering at The University of Queensland (UQ), where she transformed that program - today UQ enrols more than 900 BE students per year who engage in embedded authentic experiences from Day 1.
In 2011, she successfully led a national competitive grant project focused on ensuring successful student teamwork. In 2012, she was awarded a national Award for Teaching Excellence, and in 2014 she co-led an international project championing ‘flipped classrooms’. At UQ, her leadership has included establishing a T&L Development Program for early-career academics and co-founding a dual-Faculty centre (eLIPSE: eLearning Innovations and Partnerships in Science and Engineering), which is leading eLearning innovation through enabling collaborative partnerships.

Nick Achilles

Nicholas Achilles graduated at The University Of Queensland (UQ) with a bachelor’s degree in Information Technology. Since then, Nicholas has been working as a professional software developer within the “Centre for eLearning Innovations and Partnerships in Science and Engineering” (eLIPSE) at UQ. The variety of projects in this centre is diverse; ranging from data visualisation and processing, to machine learning applied to student personalisation, to web scalable student learning tools. Nicholas has been fortunate enough to work in all of these areas, primarily as a full stack developer. His professional goals are targeted at indulging in industry leading software development techniques, with a goal of transitioning into a backend specialist role. In his personal time, Nicholas works with wood, or bakes sweets which he then takes to picnics.

Esther Fink

Esther Fink is an eLearning Educational Designer who supports both faculty/school teaching and learning leaders and academic staff with the design, development, implementation and evaluation of online and blended learning. Her experience in higher education and vocational education spans 3 continents and 20 years.

by Mary-Anne Fiebig