Keynote SEC2019 Leeds: The power of learning analytics to impact learning and...Bart Rienties
The second keynote will be delivered by Professor Bart Rienties of the Open University who will discuss how the power of learning and teaching can be unharnessed by using learning analytics on Friday, January 11 .
The theme – Learning Spaces – will examine the many arenas in which students can learn and develop, create and collaborate, forge partnerships with communities, cross thresholds or take risks.
Over the course of both days, plenaries, breakout sessions and a panel will also consider sub-themes, such as informal learning spaces and architecture, digital platforms and technology enhanced learning environments.
http://teachingexcellence.leeds.ac.uk/events/keynoted-announced-and-bookings-now-open-for-sec2019/
The Power of Learning Analytics: Is There Still a Need for Educational Research?Bart Rienties
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. A broad goal of learning analytics is to apply the outcomes of analysing data gathered by monitoring and measuring the learning process. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly provide personalised, rich learning on a large scale. Substantial progress in learning analytics research has been made in the last few years.
Researchers in learning analytics use a range of advanced computational techniques (e.g., Bayesian modelling, cluster analysis, natural language processing, machine learning) for predicting which learners are likely to fail or succeed, and how to provide appropriate support in a flexible and adaptive manner.
In this keynote, I will argue that unless educational researchers at EARLI embrace some of the key principles, methods, and approaches of learning analytics, educational researchers may be left behind. In particular, a main merit of learning analytics is linking large datasets of actual learning processes and outcomes with learning dispositions and learner characteristics. Using evidence-based approaches rapid insights and advancements are developed how learning designs and learning processes can be optimised to maximise the potential of each learner. For example, our recent research with 151 modules and 133K students at the Open University UK indicates that learning design has a strong impact on student behaviour, satisfaction, and performance. Learning analytics can also drive learning in more “traditional”, face-to-face contexts. For example, by measuring emotions, epistemological expressions, and cross-cultural dialogue, social interactions can be effectively supported by innovative dashboards and adaptive
approaches. I aim to unpack the advantages and limitations of learning analytics and how EARLI researchers can embrace such data-driven research approaches
More info at www.bartrienties.nl
ASCILITE Webinar: A review of five years of implementation and research in al...Bart Rienties
Date and time: Wednesday 20 September 2017 at 5pm AEST
Abstract: 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, we have been unpacking the complexity of instructional practices, as well as providing empirical evidence of how learning designs influence student behaviour, satisfaction, and performance. This seminar will discuss the implementation of learning design at the OU in the last 5 years, and reviews empirical evidence from several studies that have linked learning design with learning analytics. Recommendations are put forward to support future adoptions of the learning design approach, and potential research trajectories.
https://ascilite.org/get-involved/sigs/learning-analytics-sig/
www.bartrienties.nl
Keynote SEC2019 Leeds: The power of learning analytics to impact learning and...Bart Rienties
The second keynote will be delivered by Professor Bart Rienties of the Open University who will discuss how the power of learning and teaching can be unharnessed by using learning analytics on Friday, January 11 .
The theme – Learning Spaces – will examine the many arenas in which students can learn and develop, create and collaborate, forge partnerships with communities, cross thresholds or take risks.
Over the course of both days, plenaries, breakout sessions and a panel will also consider sub-themes, such as informal learning spaces and architecture, digital platforms and technology enhanced learning environments.
http://teachingexcellence.leeds.ac.uk/events/keynoted-announced-and-bookings-now-open-for-sec2019/
The Power of Learning Analytics: Is There Still a Need for Educational Research?Bart Rienties
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. A broad goal of learning analytics is to apply the outcomes of analysing data gathered by monitoring and measuring the learning process. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly provide personalised, rich learning on a large scale. Substantial progress in learning analytics research has been made in the last few years.
Researchers in learning analytics use a range of advanced computational techniques (e.g., Bayesian modelling, cluster analysis, natural language processing, machine learning) for predicting which learners are likely to fail or succeed, and how to provide appropriate support in a flexible and adaptive manner.
In this keynote, I will argue that unless educational researchers at EARLI embrace some of the key principles, methods, and approaches of learning analytics, educational researchers may be left behind. In particular, a main merit of learning analytics is linking large datasets of actual learning processes and outcomes with learning dispositions and learner characteristics. Using evidence-based approaches rapid insights and advancements are developed how learning designs and learning processes can be optimised to maximise the potential of each learner. For example, our recent research with 151 modules and 133K students at the Open University UK indicates that learning design has a strong impact on student behaviour, satisfaction, and performance. Learning analytics can also drive learning in more “traditional”, face-to-face contexts. For example, by measuring emotions, epistemological expressions, and cross-cultural dialogue, social interactions can be effectively supported by innovative dashboards and adaptive
approaches. I aim to unpack the advantages and limitations of learning analytics and how EARLI researchers can embrace such data-driven research approaches
More info at www.bartrienties.nl
ASCILITE Webinar: A review of five years of implementation and research in al...Bart Rienties
Date and time: Wednesday 20 September 2017 at 5pm AEST
Abstract: 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, we have been unpacking the complexity of instructional practices, as well as providing empirical evidence of how learning designs influence student behaviour, satisfaction, and performance. This seminar will discuss the implementation of learning design at the OU in the last 5 years, and reviews empirical evidence from several studies that have linked learning design with learning analytics. Recommendations are put forward to support future adoptions of the learning design approach, and potential research trajectories.
https://ascilite.org/get-involved/sigs/learning-analytics-sig/
www.bartrienties.nl
The power of learning analytics to unpack learning and teaching: a critical p...Bart Rienties
Across the globe institutions are exploring the opportunities technology affords to provide a better,
more consistent, and more personalised service to their students and stakeholders In particular, the
development of learning analytics may empower distance learning institutions to provide near realtime
actionable feedback to teachers and students about what the “best” next step in their learning
journeys might be. For example, several institutions have started to explore the use of learning
analytics dashboards that can display learner and learning behaviour to teachers and instructional
designers in order to provide more real-time, or just-in-time support for students. Learning analytics
might provide opportunities for (semi-) automatic personalisation as well as increased flexibility of
online provision, while at the same time potentially benefiting from efficiency and retention gains
when providing education at scale. Nonetheless, there are several critics towards this learning
analytics and data-centred movement. Some critics tend to focus on the perceived dilution of the
role of the human teacher as a provider of the personal support role to (semi-) automated support
provisions. In this BERA keynote, I aim to provide a balanced perspectives of the affordances and
limitations of learning analytics
https://www.bera.ac.uk/event/ed-tech-nov
Enhancing (in)formal learning ties in interdisciplinary management courses: a...Bart Rienties
While interdisciplinary courses are regarded as a promising method for students to learn and apply knowledge from other disciplines, there is limited empirical evidence available whether interdisciplinary courses can effectively “create” interdisciplinary students. In this innovative quasi-experimental study amongst 377 Master’s students, in the control condition students were randomised by the teacher into groups, while in the experimental condition students were “balanced” by the teacher into groups based upon their initial social network. Using Social Network Analysis, learning ties after eleven weeks were significantly predicted by the friendship and learning ties established at the beginning of the course, as well as (same) discipline and group allocation. The effects were generally greater than group divisions, irrespective of the two conditions, but substantially smaller than initial social networks. These results indicate that interdisciplinary learning does not occur “automatically” in an interdisciplinary module. This study contributes to effective learning in interdisciplinary learning environments.
Rienties, B., & Héliot, Y. (2016). Enhancing (in)formal learning ties in interdisciplinary management courses: a quasi-experimental social network study. Studies in Higher Education. DOI: 10.1080/03075079.2016.1174986. Impact factor: 1.037.
Full version is available at: http://www.tandfonline.com/doi/full/10.1080/03075079.2016.1174986
Sebba o higgins-educational outcomes of children in care_4_nov2014Young Lives Oxford
Understanding the Educational Outcomes of Young People in Care - presentation by Professor Judy Sebba and Aoife O'Higgins from the Rees Centre for Research in Fostering and Education. Gives an overview of research to date and some of the sources of data about education for children in care. Outlines a new study to assess and promote 'what works' to improve education outcomes for young people in care in the UK.
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Dr Linda Corrin, University of Melbourne, discusses all things learning analytics. One of the important take-aways from this presentation is to define the question(s) before you start collecting data.
Increasing Engagement: Kitchka original contributionMelissaKitchka
Original Contribution for my ACE Capstone Experience. This powerpoint shares technological resources that I've used in my classroom that have been successful in increasing engagement.
TALIS Presentation: The impact of learning design on student behaviour, satis...Bart Rienties
The impact of learning design on student behaviour, satisfaction and performance: a cross-institutional comparison across 151 modules
http://www.sciencedirect.com/science/article/pii/S0747563216301327?np=y
Discussant SRHE Symposium "A cross-institutional perspective on merits and ch...Bart Rienties
In the UK, the introduction of the Teaching Excellence Framework (TEF) has increased interest in
appropriate and valid measurement approaches of learning gains in Higher Education. Learning gains
are defined as growth or change in knowledge, skills, and abilities of learners over time. While the UK
government and other organisations like HEFCE expect tremendous opportunities for learning gains
to “objectively” measure the value added of higher education across institutions, empirical evidence of
the robustness, reliability, and validity of learning gains literature outside the UK is mixed. At SRHE,
we will discuss the affordances, lived experiences, and limitations of using different measurements,
conceptualisations, and methodologies of learning gains. We aim to set an evidence-based agenda of
how HEIs can effectively start to measure and implement notions of learning gains, while at the same
time discussing potential limitations and caveats.
www.abclearninggains.com @learninggains
The power of learning analytics to unpack learning and teaching: a critical p...Bart Rienties
Across the globe institutions are exploring the opportunities technology affords to provide a better,
more consistent, and more personalised service to their students and stakeholders In particular, the
development of learning analytics may empower distance learning institutions to provide near realtime
actionable feedback to teachers and students about what the “best” next step in their learning
journeys might be. For example, several institutions have started to explore the use of learning
analytics dashboards that can display learner and learning behaviour to teachers and instructional
designers in order to provide more real-time, or just-in-time support for students. Learning analytics
might provide opportunities for (semi-) automatic personalisation as well as increased flexibility of
online provision, while at the same time potentially benefiting from efficiency and retention gains
when providing education at scale. Nonetheless, there are several critics towards this learning
analytics and data-centred movement. Some critics tend to focus on the perceived dilution of the
role of the human teacher as a provider of the personal support role to (semi-) automated support
provisions. In this BERA keynote, I aim to provide a balanced perspectives of the affordances and
limitations of learning analytics
https://www.bera.ac.uk/event/ed-tech-nov
Enhancing (in)formal learning ties in interdisciplinary management courses: a...Bart Rienties
While interdisciplinary courses are regarded as a promising method for students to learn and apply knowledge from other disciplines, there is limited empirical evidence available whether interdisciplinary courses can effectively “create” interdisciplinary students. In this innovative quasi-experimental study amongst 377 Master’s students, in the control condition students were randomised by the teacher into groups, while in the experimental condition students were “balanced” by the teacher into groups based upon their initial social network. Using Social Network Analysis, learning ties after eleven weeks were significantly predicted by the friendship and learning ties established at the beginning of the course, as well as (same) discipline and group allocation. The effects were generally greater than group divisions, irrespective of the two conditions, but substantially smaller than initial social networks. These results indicate that interdisciplinary learning does not occur “automatically” in an interdisciplinary module. This study contributes to effective learning in interdisciplinary learning environments.
Rienties, B., & Héliot, Y. (2016). Enhancing (in)formal learning ties in interdisciplinary management courses: a quasi-experimental social network study. Studies in Higher Education. DOI: 10.1080/03075079.2016.1174986. Impact factor: 1.037.
Full version is available at: http://www.tandfonline.com/doi/full/10.1080/03075079.2016.1174986
Sebba o higgins-educational outcomes of children in care_4_nov2014Young Lives Oxford
Understanding the Educational Outcomes of Young People in Care - presentation by Professor Judy Sebba and Aoife O'Higgins from the Rees Centre for Research in Fostering and Education. Gives an overview of research to date and some of the sources of data about education for children in care. Outlines a new study to assess and promote 'what works' to improve education outcomes for young people in care in the UK.
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online
Dr Linda Corrin, University of Melbourne, discusses all things learning analytics. One of the important take-aways from this presentation is to define the question(s) before you start collecting data.
Increasing Engagement: Kitchka original contributionMelissaKitchka
Original Contribution for my ACE Capstone Experience. This powerpoint shares technological resources that I've used in my classroom that have been successful in increasing engagement.
TALIS Presentation: The impact of learning design on student behaviour, satis...Bart Rienties
The impact of learning design on student behaviour, satisfaction and performance: a cross-institutional comparison across 151 modules
http://www.sciencedirect.com/science/article/pii/S0747563216301327?np=y
Discussant SRHE Symposium "A cross-institutional perspective on merits and ch...Bart Rienties
In the UK, the introduction of the Teaching Excellence Framework (TEF) has increased interest in
appropriate and valid measurement approaches of learning gains in Higher Education. Learning gains
are defined as growth or change in knowledge, skills, and abilities of learners over time. While the UK
government and other organisations like HEFCE expect tremendous opportunities for learning gains
to “objectively” measure the value added of higher education across institutions, empirical evidence of
the robustness, reliability, and validity of learning gains literature outside the UK is mixed. At SRHE,
we will discuss the affordances, lived experiences, and limitations of using different measurements,
conceptualisations, and methodologies of learning gains. We aim to set an evidence-based agenda of
how HEIs can effectively start to measure and implement notions of learning gains, while at the same
time discussing potential limitations and caveats.
www.abclearninggains.com @learninggains
QAA Modelling and Managing Student Satisfaction: Use of student feedback to ...Bart Rienties
To what extent are institutions using insights from NSS and institutional surveys to transform their students’ experience?
What are the key enablers and barriers for integrating student satisfaction data with QA and QE
How are student experiences influencing quality enhancements
What influences students’ perceptions of overall satisfaction the most? Are student characteristics or module/presentation related factors more predictive than satisfaction with other aspects of their learning experience?
Is the student cohort homogenous when considering satisfaction key drivers? For example are there systematic differences depending on the level or programme of study?
SIRIKT Keynote: Learning Analytics: The good, the bad, or perhaps ugly?
The presentation will be the introduction of learning analytics, setting it in the context of big data and the increasing role of technology in learning, emphasising the role of analytics for supporting learning. Some examples will be given, and the points will be highlighted where we have the best evidence for learning analytics being helpful. The presentation will end with some suggestions – some practical, some conceptual – for how researchers and practitioners could move forward.
Dr. Bart Carlo Rienties is Reader in Learning Analytics at the Institute of Educational Technology at the Open University UK. He is programme director Learning Analytics within IET and Chair of Student Experience Project Intervention and Evaluation group, which focusses on evidence-based research on intervention of 15 modules to enhance student experience. As educational psychologist, he conducts multi-disciplinary research on work-based and collaborative learning environments and focuses on the role of social interaction in learning, which is published in leading academic journals and books. His primary research interests are focussed on Learning Analytics, Computer-Supported Collaborative Learning, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He successfully led a range of institutional/national/European projects and received several awards for his educational innovation projects.
Are emotions driving better university courses?Bart Rienties
Wednesday 13 April, 18:30 - 19:30 (BST)
Do happier students make better learners? How much do our emotions dictate how we learn? And can we use this information to make university courses better?
These are just some of the questions we’ll be exploring as part of a special talk by some of the UK's leading academics in this area.
OU Technology Enhanced Learning experts are researching a concept called ‘analytics of emotions’ which means that in the future, devices like eye trackers and facial recognition software will analyse students’ emotional states when they are learning. These devices can gauge whether students are bored or frustrated by their online materials by the amount they sigh or frown.
The researchers predict in their annual Innovating Pedagogy report that that within the next 10 years, the design of university courses will be driven by how students interact socially and emotionally with their materials, peers, parents and teachers.
They will elaborate on what this means for higher education in their talk.
In the OpenMinds talk: Are emotions driving better university courses? the following topics will be investigated:
Dr Bart Rienties, Reader in Learning Analytics at the OU, will highlight the role of emotions in learning and question why they are often ignored.
Dr Ana Aznar, Postdoctoral Research Fellow, School of Psychology, University of Surrey, will explore how emotions develop in children and how they influence their learning.
Garron Hillaire, OU PhD student, Institute of Educational Technology will describe how his research categorises over 200 emotions related to learning. He will reveal how traces of student data are being used for emotional measurement. With these measures he will be leveraging the OU learning laboratories to validate the approach by examining physiological responses including facial muscle movement, heart rates, and galvanic skin sensors. Most importantly in the coming year these studies will expand to a University context to explore the role of emotion in Higher Education.
“The concept, “analytics of emotions” means that in the future, devices like eye trackers and facial recognition software will analyse students’ emotional states when they are learning,” said Dr Rienties. “These devices will track whether students find their content boring and frustrating, all of which can be fed back into course design. Emotions play a critical role in the learning and teaching process because they impact on learners’ motivation, self-regulation and academic achievement, so it is surprising that up to now, they have been mostly ignored in learning.”
SRHE2016: Multilevel Modelling of Learning Gains: The Impact of Module Partic...Bart Rienties
Jekaterina Rogaten1
, Bart Rienties1
, Denise Whitelock1
, Simon Cross1
, Allison Littlejohn1
, Rhona
Sharpe2
, Simon Lygo-Baker3
, Ian Scott2
, Steven Warburton3
, Ian Kinchin3
1The Open University UK, UK,
2Oxford Brooks University, UK,
3University of Surrey, UK
Research Domain: Learning, teaching and assessment (LTA)
In the UK, the introduction of the Teaching Excellence Framework (TEF) has increased interest in
appropriate and valid measurement approaches of learning gains in Higher Education. Usually
learning gains are measured using pre-post testing, but this study examines whether academic
performance can be effectively used as proxy to estimate students’ learning progress. Academic
performance of 21,192 online learners from two major faculties was retrieved from university
database. A three-level growth-curve model was estimated and results showed that 16% to 46% of
variance in students’ initial academic performance, and 51% to 77% of variance in their subsequent
learning gains was due to them studying at a particular module. In addition, the results illustrate that
students who studied in modules with initial high student achievements exhibited lower learning gains
than students learning in modules with low initial student achievements. The importance of
assessment and learning design for learning gains are outlined.
www.abclearninggains.com @learninggains
Keynote address Analytics4Action Evaluation Framework: a review of evidence-...Bart Rienties
Bart Rienties is a Reader in Learning Analytics at the Institute of Educational Technology at the Open University UK. He is programme director Learning Analytics within IET and Chair of Analytics4Action project, which focuses on evidence-based research on interventions on OU modules to enhance student experience. As educational psychologist, he conducts multi-disciplinary research on work-based and collaborative learning environments and focuses on the role of social interaction in learning, which is published in leading academic journals and books. His primary research interests are focussed on Learning Analytics, Computer-Supported Collaborative Learning, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He successfully led a range of institutional/national/European projects and received several awards for his educational innovation projects.
Keynote H818 The Power of (In)formal learning: a learning analytics approachBart Rienties
A special thanks to Avinash Boroowa, Simon Cross, Lee Farrington-Flint, Christothea Herodotou, Lynda Prescott, Kevin Mayles, Tom Olney, Lisette Toetenel, John Woodthorpe and others…A special thanks to Prof Belinda Tynan for her continuous support on analytics at the OU UK
Keynote EARLI SIG17 The power of learning analytics: a need to move towards n...Bart Rienties
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. According to Tempelaar, Rienties, and Giesbers (2015, p. 158) “a broad goal of learning analytics is to apply the outcomes of analysing data gathered by monitoring and measuring the learning process”. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly in the near future provide personalised, rich learning on a large scale (Rienties, Cross, & Zdrahal, 2016; Tempelaar et al., 2015; Tobarra, Robles-Gómez, Ros, Hernández, & Caminero, 2014).
Increased availability of large datasets (Arbaugh, 2014), powerful analytics engines (Tobarra et al., 2014), and skilfully designed visualisations of analytics results (González-Torres, García-Peñalvo, & Therón, 2013) mean that institutions may now be able to use the experience of the past to create supportive, insightful models of primary (and even real-time) learning processes (Arnold & Pistilli, 2012; Ferguson & Buckingham Shum, 2012; Papamitsiou & Economides, 2014). Substantial progress in learning analytics research relating to identifying at-risk students has been made in the last few years using a range of advanced computational techniques (e.g., Bayesian modelling, cluster analysis, natural language processing, machine learning, predictive modelling, social network analysis).
In this EARLI SIG17 keynote, I will argue that one of the largest challenges for learning analytics and wider educational research still lies ahead of us, and that one substantial and immediate challenge is how to put the power of learning analytics into the hands of researchers, teachers and administrators. While an increasing body of literature has become available regarding how institutions have experimented with small-scale interventions (Papamitsiou & Economides, 2014), to the best of our knowledge no comprehensive conceptual model, nested within a strong evidence-base, is available that describes how researchers, teachers and administrators can use learning analytics to make successful interventions in their own practice. In this keynote, I will use the development of a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is being currently tested and validated at the largest university in Europe (in terms of enrolled learners), namely the UK Open University (OU, Calvert, 2014), as an example of the complexity of different, interlinked methodological and conceptual approaches.
The power of learning analytics for UCL: lessons learned from the Open Univer...Bart Rienties
Across the globe many institutions and organisations have high hopes that learning analytics can play a major role in helping their organisations remain fit-for-purpose, flexible, and innovative. Learning analytics applications in education are expected to provide institutions with opportunities to support learner progression, but more importantly in the near future provide personalised, rich learning on a large scale. In this seminar, we will discuss lessons learned from various learning analytics applications at the OU.
Global experiences with e-learning and dataBart Rienties
Pedagogically informed designs of learning are increasingly of interest to researchers in blended and online learning, as learning design is shown to have an impact on student behaviour and outcomes. Although learning design is widely studied, often these studies are individual courses or programmes and few empirical studies have connected learning designs of a substantial number of courses with learning behaviour. In this study we linked 151 modules and 111.256 students with students' behaviour (<400 million minutes of online behaviour), satisfaction and performance at the Open University UK using multiple regression models. Our findings strongly indicate the importance of learning design in predicting and understanding Virtual Learning Environment behaviour and performance of students in blended and online environments. In line with proponents of social learning theories, our primary predictor for academic retention was the time learners spent on communication activities, controlling for various institutional and disciplinary factors. Where possible, appropriate and well designed communication tasks that align with the learning objectives of the course may be a way forward to enhance academic retention.
The power of learning analytics to measure learning gains: an OU, Surrey and ...Bart Rienties
Learning gains has increasingly become apparent within the HE literature, gained traction in government policies in the UK, and are at the heart of Teaching Excellence Framework (TFL). As such, this raises a question to what extent teaching and learning environment can actually predict students’ learning gains using principles of learning analytics. In this presentation, which is joined work with University of Surrey and Oxford Brookes, I will focus on some preliminary findings based upon developing and testing an Affective-Behaviour-Cognition learning gains model using longitudinal approach. The main aim of the research is to examine whether learning gains occur on all three levels of Affective-Behaviour-Cognition model and whether any particular student or course characteristics can predict learning gains or lack of learning and dropout. For more info, see https://abclearninggains.com/
Learning design meets learning analytics: Dr Bart Rienties, Open UniversityBart Rienties
8th UK Learning Analytics Network Meeting, The Open University, 2nd November 2016
1) The power of 151 Learning Designs on 113K+ students at the OU?
2) How can we use learning design to empower teachers?
3) How can Early Alert Systems improve Student Engagement and Academic Success? (Amara Atif, Macquarie University)
4) What evidence is there that learning design makes a difference over time and how students engage?
Keynote Data Matters JISC What is the impact? Six years of learning analytics...Bart Rienties
The Open University (OU) was an early adopter of learning analytics, and after six years has had the opportunity to reflect on the impact of large scale adoption across the institution.
Has there been an impact on student retention/progress/completion?
How are the positives (or negatives) reflected in student satisfaction surveys?
What worked, what didn't, and with this benefit of hindsight what is, or should be, next?
A joint keynote with Heather O'Brien at the Learning Analytics Summer Institute (LASI) 2019. In here we explore the concept of learner- and user- engagement as relevant for the field of learning analytics.
Keynote Presentation: Implementing learning analytics and learning design at ...Bart Rienties
The University of the Roller Coaster
How can Higher Education function in a world struggling to save itself from climate change, pandemics and war? How can it drive innovation and shape the future as the pace of technological change constantly increases? How can it re-invent itself to respond imaginatively to the new challenges facing humanity?
We are living in an uncertain, unpredictable world with no “back to normal” any more. So, how can we re-imagine higher education when nothing can be taken for granted? What kind of technologies can help universities to adapt? What lessons can we learn from recent successes and failures? What 'best practice' examples point the way into the future? How can we shape the development of institutions, so that they are neither “ivory towers” nor “competence factories"? How can we encourage future-oriented universities in which both pedagogy and research are fit for the challenges ahead?
In the Academic Plenary, our experts will examine the threats and opportunities facing higher education today and ask how we can design new approaches that prepare staff and students to thrive in the University of the Roller Coaster.
Intervention for
Education
Markis’ Edwards
January 29, 2018
1
Area of Focus
Enforcing IEPs children with
Autism
Learning and behavioral difficulties
In reinforcing learners in Individualized Educational Programs(IEPs), educators will assist in shaping the behaviors of the students, as well as, becoming more self-sufficient (Bambara, Koger, & Bartholomew, 2011). The students’ educational needs are met in areas, such as reading, writing, math, adaptive living, and science. The objective is to meet the learners' needs via creating a plan that will effectively ensure the students’ educational and behavioral level are met or exceeded (Tyner, 2014).
2
Explanation of Problem
Lack of reinforcement by teachers
No use of different learning techniques
No use of technology
3
Variables
Mixed Group of children
Verbally proficient but with behavioral difficulty
Nonspeaking children with severe behavioral difficulty
Basic speaking skills with minimal behavioral difficulty
4
Research Questions
Qualitative Questions
Why should I consider eLearning-based training?
Can eLearning courses be customized?
What is the perspective of researcher in regards to having daily awareness of students IEP goals?
Quantitative Questions
What are 2-3 hardware and software requirements for online training?
What is the difference in researchers expectations of students when applying IEP goals daily verses being applied over three weeks?
5
Locus of Control
Being part of the intervention
Confidential Research for myself
Research Summaries
The main goal of being part of the intervention is the assurance that children are educated regardless of limitations or disabilities (Wehmeyer, 2005).
6
Intervention/Innovation
The Use of iPads
Use of designated applications
This will all be provided by the designed application known as “Proloquo” that is designed for such activities (Brown, Dehoney, & Millichap, 2015).
7
Negotiations
Observation of children in their learning environment
Terms set by the DHR had to be followed
8
Ethics
Student Rights
Training of students on the usage of the devices
Restricting the devices to specific sites
When the intervention is being implemented several things have to be considered and at the top of the list is the maintenance of the students rights (Bamb.
Moving from Learning Analytics to Social (Emotional) Learning Analytics.
Presentation from 'In Focus: Learner analytics and big data', a CDE technology symposium held at Senate House on 10 December 2013. Conducted by Dr Bart Rientes (Senior Lecturer, Department of Higher Education, University of Surrey).
Audio of the session and more details can be found at www.cde.london.ac.uk.
Panagiotis Zervas and Demetrios G. Sampson, Supporting the assessment of problem solving competences through inquiry-based teaching in school science education: The Inspiring Science Education tools, Webinar Slides, eTwinning Creative Classroom Group, 28 April 2015
This was a presentation done at an inter-institutional higher education workshop on developing a research proposal for academics on this course from CPUT, UCT, UWC and Stellenbosch universities. It provides an example of a research project and the sort of questions which were addressed in this project
The scope of this presentation is to present the design considerations and the implementation of a set of tools which aim to support the authoring and delivery of science education lessons that follow an inquiry-based teaching strategy (namely, the 5E model) incorporating appropriate (PISA 2012 Problem Solving Framework compatible) assessment activities within the various phases of the inquiry teaching model. From this perspective, the proposed tools target to overcome the summative nature of PISA 2012 problem solving competence assessment and its disconnection from the school science teaching practice. These tools have been developed in the framework of a major European Initiative, namely the, Inspiring Science Education (ISE) Project (http://inspiring-science-education.org/).
Applying and translating learning design and analytics approaches in your ins...Bart Rienties
This interactive workshop delivered by the University of Zagreb, Faculty of Organisation and Informatics (UZ) and the Open University UK (OU) will build on two large-scale implementations of learning design and learning analytics, and how you could potentially implement similar approaches in your institution. The OU has been implementing learning design for nearly 20 years as a structured design, specification, and review process for blended and online courses. The learning design is focused on "what students do" as part of their learning, rather than on "what teachers do" or on what will be taught.
Building on this work, UZ has recently developed the Balanced Design Planning (BDP) tool specifically for educators working in hybrid and blended contexts. The tool is more focused on intended learning outcomes and automated learning analytics and is currently being developed, tested, evaluated and implemented with 1000+ practitioners from dozens of institutions in 20+ countries as part of four European projects (eDesk, Teach4EDU, RAPIDE, iLED), and is publicly available for other institutions to use for free. It has been shown by studies conducted by OU and UZ that when these learning design (LD) approaches are used, they help educators to make real-time informed decisions based on learning analytics (LA) and improve the predictive modelling of student behaviour.
Attendees should bring their laptop for this workshop session.
Bart Rienties, Professor in Learning Analytics, Institute of Education Technology, The Open University
Edutech_Europe Keynote Presentation: Implementing learning analytics and lear...Bart Rienties
This keynote will help you:
-Understand where to start with learning analytics
-Understand how to effectively support your staff to use data
-Critically review whether learning analytics is something for your organisation
https://www.terrapinn.com/exhibition/edutech-europe/speaker-bart-RIENTIES.stm
How can you use learning analytics in your own research and practice: an intr...Bart Rienties
While many “brick-and-mortar” universities had to rapidly shift online provision during the pandemic, a range of online and distance learning universities have been teaching in blended and online formats for years. Obviously with every single click potentially interesting data might become available about how and perhaps why learners are engaging with learning materials and activities. A blossoming field of learning analytics has emerged since 2011 trying to make sense of these increased data flows. The Open University UK (OU) has been trailblazing innovative learning across the globe for 50 years. Since 2014 the OU has gradually moved from small-scale experimentation to large-scale adoption of learning analytics throughout all 400+ modules and qualifications available within the OU for its 170.000+ online learners.
This keynote will explore how you as researcher, practitioner, and/or policy maker could start to use learning analytics to better understand your educational practice. Using examples from small-scale experiments and large-scale adoptions of predictive learning analytics I will explore together with EDEN RW participants which approaches and methods in learning analytics might be useful to consider. No prior knowledge or experience of learning analytics is expected, and join me on a journey of how you could potentially use data from your learners and teachers to further improve and finetune your blended and online provision.
Dr. Bart Rienties is Professor of Learning Analytics and programme lead of the learning analytics and learning design research programme at the Institute of Educational Technology at the Open University UK. He leads a group of academics who provide university-wide learning analytics and learning design solutions and conduct evidence-based research of how students and professionals learn. His primary research interests are focussed on Learning Analytics, Professional Development, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects, and has received a range of awards for his educational innovation projects. He has published over 285 academic outputs, and is the 2nd most published author on Networks in Education in period 1969-2020 (Saqr et al. 2022), the 3rd most cited author on higher education internationalisation in Asia in the period 2013-2018 (Can & Hou, 2021), the 4th most cited author and contributor in Learning Analytics in the period 2011-2018 (Adeniji, 2019), the 5th most published author on internationalisation in the period 1900-2018 (Jing et al. 2020) and the 7th most published author on social network analysis in social sciences in the period 1999-2018 (Su et al. 2020), and the 14th most published author on educational technology in the period 2015-2018 (West & Bodily, 2020).
SAAIR: Implementing learning analytics at scale in an online world: lessons l...Bart Rienties
Workshop objectives:
Explore how institutions like Open University UK have implemented learning analytics at scale. Workshop activities:
Presentation from the facilitator and interactive with questions via pollev, chat, and Zoom. Facilitator biography:
Dr. Bart Rienties is Professor of Learning Analytics and programme lead of the learning analytics and learning design research programme at the Institute of Educational Technology at the Open University UK. He leads a group of academics who provide university-wide learning analytics and learning design solutions and conduct evidence-based research of how students and professionals learn. As educational psychologist, he conducts multi-disciplinary research on work-based and collaborative learning environments and focuses on the role of social interaction in learning, which is published in leading academic journals and books. His primary research interests are focussed on Learning Analytics, Professional Development, and the role of motivation in learning. Furthermore, Bart is interested in broader internationalisation aspects of higher education. He has successfully led a range of institutional/national/European projects, and has received a range of awards for his educational innovation projects. He has published over 250 academic outputs, and is the 4th most cited author and contributor in Learning Analytics in the period 2011-2018 (Adeniji, 2019), the 5th most published author on internationalisation in the period 1900-2018 (Jing et al. 2020) and the 3rd most cited author on higher education internationalisation in Asia in the period 2013-2018 (Can & Hou, 2021), the 7th most published author on social network analysis in social sciences in the period 1999-2018 (Su et al. 2020), and the 14th most published author on educational technology in the period 2015-2018 (West & Bodily, 2020). More info at https://iet.open.ac.uk/people/bart.rienties
OU/Leverhulme Open World Learning: Knowledge Exchange and Book Launch Event p...Bart Rienties
This online event will be a showcase of leading research in the field of open learning, conducted by Doctoral Scholars of The Open University and Leverhulme Trust’s Open World Learning programme, whose work is being recognised with the launch of a new open-access Open World Learning Book.
The event will feature an opening panel discussion on the achievements of our Doctoral Scholars, a collection of themed break-out sessions where scholars will share their research studies and their social impacts, and close with a roundtable where our scholars will consider the future of open learning.
Learning in the 21st century is undergoing both subtle and radical transformation due to the impact of digital, innovative, network technologies. Open learning provides unprecedented access to educational information, providing support to learners worldwide. However, it is not the technologies themselves that represent the biggest change, but the opportunities for access to formal and informal learning.
The Open World Learning programme has been funded by the Leverhulme Trust and The Open University to provide 18 Scholars the opportunity to identify changes in open learning which may exclude, rather than include those who would most benefit. Despite technological advancements, the main challenges to open learning are access-related. Our Open World Learning Scholars have been researching the barriers to access for those whose experiences open learning can benefit most and addressing issues where possible.
Hosted by Professor Bart Rienties, Programme Lead of the Open World Learning programme at the OU's Institute of Educational Technology, this two-hour event will provide a knowledge exchange platform to learn from our Open World Learning Doctoral Scholars and celebrate their exceptional achievements with the Open World Learning Book Launch.
We hope you join us and register to attend our free event. Follow us on the IETatOU Twitter and visit the IET website where a series of digital and social content will be shared highlighting the work of our Open World Learning scholars.
Visit us here: https://iet.open.ac.uk | https://twitter.com/ietatou
Education 4.0 and Computer Science: A European perspectiveBart Rienties
This systematic literature review aimed at identifying the pedagogical approaches, aligned with Education 4.0, used to support teaching computer science courses with undergraduate and graduate students in Europe. A three-step coding process was conducted to identify and analyse 20 papers. Quantitative and qualitative analysis of the selected papers revealed a three-cluster solution with common characteristics that could be used to describe those pedagogical approaches. The review also showed that the term Education 4.0 is still relatively new and has not been conceptualised in terms of computer science courses, although the characteristics of Education 4.0 are visible throughout the pedagogical approaches.
Bart Rienties, Rebecca Ferguson, Christothea Herodotou, Francisco Iniesto, Julia Sargent, Igor Balaban, Henry Muccini, Sirje Virkus
AI in Education Amsterdam Data Science (ADS) What have we learned after a dec...Bart Rienties
The Open University UK (OU) has been implementing learning analytics and learning design on a large scale since 2012. With its 170+ students and 4000+ teaching staff, the OU has been at the forefront of testing, implementing, and evaluating the impact of learning analytics and learning design on students outcome and retention. A range of reviews and scholarly repositories (e.g., Web of Science) indicate that the OU is the largest contributor to academic output in learning analytics and learning design in the world. However, despite the large uptake of learning analytics at the OU there are a range of complex issues in terms of buy-in from staff, data infrastructures, ethics and privacy, student engagement, and perhaps most importantly how to make sense of big and small data in a complex organisation like the OU. During his talk Bart will be presenting on the implementation and learnings.
What have we learned from 6 years of implementing learning analytics amongst ...Bart Rienties
By Professor Bart Rienties, Head of Academic Professional Development, Institute of Educational Technology, The Open University, UK
Abstract
The Open University UK (OU) has been implementing learning analytics since 2014, starting with one or two modules to its current practice of large-scale implementation across all its 400+ modules and 170.000+ students and 4000+ teaching staff. While a range of reviews (e.g., Adenij, 2019) and scholarly repositories (e.g., Web of Science) indicate that the OU is the largest contributor to academic output in learning analytics in the world, behind the flashy publications and practitioner outputs there are a range of complex issues in terms of ethics and privacy, data infrastructures, buy-in from staff, student engagement, and how to make sense of big data in a complex organisation like the OU.
Based upon large-scale big data research we found some interesting tensions in both design and educational theory, such as:
– 69% of engagement by students on a week by week basis is determined by how teachers are designing courses (i.e., learning design and instructional design indeed directly influence behaviour and cognition), but many teachers seem reluctant to change their learning design based upon data of what works and what does not work (e.g., making sense of data, agency);
– How teachers engage with predictive learning analytics (PLA) significantly improves student outcomes, but only a minority of teachers actually use PLA;
– Some disadvantaged groups engage more actively in OU courses, but nonetheless perform lower than non-disadvantaged students.
During this CELDA keynote I would like to share some of my own reflections of how the OU has implemented learning analytics, and how these insights are helping towards a stronger evidence-base for data-informed change. Furthermore, by sharing some of the lessons learned from implementing learning analytics on a large scale I hope to provide some dos and don’ts in terms of how you might consider to use data in your own practice and context.
Using Learning analytics to support learners and teachers at the Open UniversityBart Rienties
In this seminar Prof Bart Rienties will reflect on how the Open University UK has become a leading institution in implementing learning analytics at scale amongst its 170K students and 5K staff. Furthermore, he will discuss how learning analytics is being adopted at other UK institutions, and what the implications for higher education might be in these Covid19 times.
https://www.kent.ac.uk/cshe/news-events.html
How learning gains and Quality Assurance are (mis)Aligned: An Interactive Wor...Bart Rienties
In the last five years there is an increased interest across the globe to define, conceptualise, and measure learning gains. The concept of learning gains, briefly summarised as the improvement in knowledge, skills, work-readiness and personal development made by students during their time spent in higher education, has been hailed by some as an opportunity to measure “excellence” in teaching. However, whether learning gains could be useful for quality assurance can be debated. This interactive workshop aims to provide an open platform to
discuss the opportunities and limitations of learning gains for quality assurance.
Lecture series: Using trace data or subjective data, that is the question dur...Bart Rienties
In this lecture series Bart Rienties (Professor of Learning Analytics, head of Academic Professional Development) will discuss how from the safety of your home you could use existing trace data to explore interactions between people (e.g., Twitter data, engagement data in a virtual learning environment, public data sets), and what the affordances and limitations of these trace data might be. Furthermore, he will discuss how other ways of collecting subjective data (e.g., surveys, interviews) might strengthen our understandings of complex interactions between people.
There are no prior requirements to join, and everyone is welcome. For those with a technical background you may enjoy this recent paper in PLOS ONE https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0233977. For those with a non-technical background, you may enjoy this paper https://journals.sfu.ca/flr/index.php/journal/article/view/348
Learning analytics adoption in Higher Education: Reviewing six years of exper...Bart Rienties
In this webinar, Prof Bart Rienties will reflect on the process of implementing learning analytics solutions within the UK higher education setting, its implications, and the key lessons learned in the process. The talk will specifically focus on the Open University UK (OU) experience of implementing learning analytics to support its 170k students and 5k staff. Its flagship OU Analyse has been hailed as one of the largest applications of predictive learning analytics at scale for the last five years, making OU one of the leading institutions in learning analytics domain. The talk will reflect on the strong connections between research and practice, educational theory and learning design, scholarship and professional development, and working in multi-disciplinary teams to explain why the OU is at the forefront of implementing learning analytics at scale. At the same time, not all innovations and interventions have worked. During this webinar, Prof Rienties will discuss the lessons learned from implementing learning analytics systems, how learning analytics has been adopted at OU and other UK institutions, and what the implications for higher education might be.
«Learning Analytics at the Open University and the UK»Bart Rienties
In this seminar, Prof Bart Rienties will reflect on how the Open University UK has become a leading institution in implementing learning analytics at scale amongst its 170K students and 5K staff. Furthermore, he will discuss how learning analytics is being adopted at other UK institutions, and what the implications for higher education might be.
eMadrid seminar on «Review and challenges in Learning Analytics»
Presentation LMU Munich: The power of learning analytics to unpack learning a...Bart Rienties
The power of learning analytics to unpack learning and teaching: a critical perspective
Ludwig-Maximilians-Universität München
Fakultät für Psychologie und Pädagogik
Unpacking academic and social adjustment of internationalisation at a distanc...Bart Rienties
Bart Rienties, Open University, United Kingdom; Jenna Mittelmeier, University of Manchester, United Kingdom; Jo Jordan,
Open University, United Kingdom; Jekaterina Rogaten, Open University, United Kingdom; Ashley Gunter, UNIVERSITY OF
SOUTH AFRICA, South Africa; Parvati Raghuram, Open University, United Kingdom
Internationalisation at a Distance and at Home: Academic and Social Adjustmen...Bart Rienties
Bart Rienties, Parvati Raghuram, Markus Breines
With the rise of technology and distance learning, a new type of internationalisation of higher education seems to be emerging in Southern Africa higher education, which we coin as Internationalisation at a Distance. We aim to provide an initial attempt to theorise the concept of Internationalisation at a Distance through an in-depth analysis of 1295 students’ experiences while studying at the largest distance learning institution in Africa. Our regression models indicated that academic adjustment is significantly predicted by emotional adjustment, attachment towards the institution, access to technology, and internationalisation at home students. These results indicate the need for a much more complex narrative around internationalisation.
http://ideaspartnership.org/
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
How to Build a Module in Odoo 17 Using the Scaffold Method
Keynote PBL, Transfer and New Media
1. PBL, Transfer and New Media
@DrBartRienties
Reader in Learning Analytics
11th of December 2015
Dublin
FACiLiTATE Employability and
Transfer - E/PBL research and
practice Seminar
2. Innovative Pedagogy 2015 report out!!!
http://www.open.ac.uk/blogs/innovating/
Crossover learning
Connecting formal and informal learning
Learning through argumentation
Developing skills of scientific argumentation
Incidental learning
Harnessing unplanned or unintentional learning
Context-based learning
How context shapes and is shaped by the process of learning
Computational thinking
Solving problems using techniques from computing
Learning by doing science with remote labs
Guided experiments on authentic scientific equipment
Embodied learning
Making mind and body work together to support learning
Adaptive teaching
Adapting computer-based teaching to the learner’s knowledge and action
Analytics of emotions
Responding to the emotional states of students
Stealth assessment
Unobtrusive assessment of learning processes
3.
4. (Social) Learning Analytics
“LA is the measurement, collection, analysis and reporting of data about learners
and their contexts, for purposes of understanding and optimising learning and the
environments in which it occurs” (LAK 2011)
Social LA “focuses on how learners build knowledge together in their cultural
and social settings” (Ferguson & Buckingham Shum, 2012)
5.
6. A) Role of informal learning in PBL Medical
programme
C) How do students choose
collaboration PBL tools?B Learning analytics with
120+ variables in PBL Math course
7. Informal learning
• Medical programme
• 1st year students
• Face-to-Face
• Measurements after 4 months studying
• Problem-Based Learning
• N=302
8. Hommes, J., Rienties, B., de Grave, W., Bos, G., Schuwirth, L., Scherpbier, A. (2012). Visualising the invisible: a network approach to reveal the informal
Formal and Informal Interaction between learners and teachers crucial for learning
processes and outcomes (DeCuyper et al., 2010; Giesbers, Rienties, et al., 2013;
Hommes, Rienties et al, 2012; Rienties et al., 2012, 2013a, 2013b)
9. Hommes, J., Rienties, B., de Grave, W., Bos, G., Schuwirth, L., Scherpbier, A. (2012). Visualising the invisible: a network approach to reveal the informal
social side of student learning. Advances in Health Sciences Education. 17(5), 743-757. Impact factor: 2.089.
Not significant
Not significant
10. Rienties, B., Hernandez Nanclares, N., Hommes, J., & Veermans, K. (2014). Understanding emerging knowledge spillovers in small-group learning settings; a networked learning perspective. In
V. Hodgson, M. De Laat, D. McConnell & T. Ryberg (Eds.), The Design, Experience and Practice of Networked Learning (Vol. 7, 127-148) Springer: Dordrecht.
Learn more inside assigned group
Learn more outside group
L
e
a
r
n
o
u
t
s
i
d
e
g
r
o
u
p
80% occurs outside formal classroom
11. Hommes, J., Arah, O. A., de Grave, W., Bos, G., Schuwirth, L., & Scherpbier, A. (2014). Medical students perceive better group learning processes when large classes are
made to seem small. PLOS One, 9(4), e93328. doi: 10.1371/journal.pone.0093328
12. Hommes, J., Arah, O. A., de Grave, W., Bos, G., Schuwirth, L., & Scherpbier, A. (2014). Medical students perceive better group learning processes when large classes are
made to seem small. PLOS One, 9(4), e93328. doi: 10.1371/journal.pone.0093328
13. Hommes, J., Arah, O. A., de Grave, W., Bos, G., Schuwirth, L., & Scherpbier, A. (2014). Medical students perceive better group learning processes when large classes are
made to seem small. PLOS One, 9(4), e93328. doi: 10.1371/journal.pone.0093328
14. Introduction math/stats
• Business
• 1st year students
• Blended
• 0-12 weeks after start studying
• Adaptive learning/Problem-Based
Learning
• N=990
15.
16. Diagnostic
EntryTests
Week 0 Week 1 Week 2 Week 3 Week 4 Week 6Week 5
Quiz 1 Quiz 2 Quiz 3
Final
Exam
• Math-
Exam
• Stats-
Exam
--------------------------------------------- BlackBoard LMS behaviour -----------------------------------------
Week 7
Mastery scores
MyMathlab
Mastery scores
Practice time #
Attempts
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
MyMathlab
Practice time #
Attempts
Mastery scores
MyStatlab
Mastery scores
Practice time #
Attempts
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
Practice time
# Attempts
Mastery scores
MyStatlab
Practice time
# Attempts
Demogra-
phic data
QMTotal
Week 8
Learning Styles,
Motivation,
Engagement
Learning
Emotions
-Learning dispositions ------------------ ------------------------------------------------------------------
Tempelaar, D., Rienties, B., Giesbers., B. (2015). In search for the most informative data for feedback generation: Learning Analytics in a data-rich context. Computers in
Human Behaviour. 47, 157-167. Impact factor: 2.067.
22. Using track data we can follow:
-who is struggling?
-where?
-when?
-why?
23.
24. Who is struggling in week 3?
What can be done about this?
• (Personalised) feedback
• (Personalised) examples
• Peer support
• Emotional/learning support
25. Online acculturation/introduction
course Economics
• Economics/acculturation
• (Nearly) 1st year international students
• Distance Education
• -6 – 0 weeks before starting @uni
• Problem-Based Learning
• N=110
27. Dynamic interaction of sychronous and
asychronous learning
Giesbers, B., Rienties, B., Tempelaar, D.T., & Gijselaers, W. H. (2014). A dynamic analysis of the interplay between asynchronous and synchronous
communication in online learning: The impact of motivation. Journal of Computer Assisted Learning, 30(1), 30-50. Impact factor: 1.632.
28. Intrinsic Motivation ↑ initial asynchronous contributions
↑ in asynchronous and synchronous contributions
Giesbers, B., Rienties, B., Tempelaar, D.T., & Gijselaers, W. H. (2014). A dynamic analysis of the interplay between asynchronous and synchronous
communication in online learning: The impact of motivation. Journal of Computer Assisted Learning, 30(1), 30-50. Impact factor: 1.632.
29. Is data from Virtual Learning Environment systems (e.g., Blackboard, Moodle)
useful for learning (analytics) and PBL? What else should we focus on to
improve our understandings of social interaction?
• “Raw” VLE data does not seem very
useful
• (entry)quizzes/formative learning
outcomes in combination with learning
dispositions provide good early-
warning systems
30. Implications for EURO CALLHow can we make learning more
personalised, adaptive and meaningful,
and what are the implications for PBL?
• What about informal learning?
• Individual differences? Learning
dispositions?
• Emotions?
• Ethics?
31. PBL, Transfer and New Media
@DrBartRienties
Reader in Learning Analytics
11th of December 2015
Dublin
FACiLiTATE Employability and
Transfer - E/PBL research and
practice Seminar
Editor's Notes
We have been customising data for various audiences such as VCE. This has been a year of change in this area, but we are timetabling key events looking forward so that this is all becoming more routine...
We have been customising data for various audiences such as VCE. This has been a year of change in this area, but we are timetabling key events looking forward so that this is all becoming more routine...