1. The document discusses the power of learning analytics to impact learning and teaching from a critical perspective.
2. It references research showing that learning design and teachers strongly influence student engagement, satisfaction, and performance based on analyses of over 150 modules.
3. Learning analytics approaches were found to help understand the complexities of learning inside and outside the classroom, and can provide insights to researchers and practitioners to test educational theories.
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: 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
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
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: 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
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
Elephants, Butterflies and Moths in the Amazon Rainforest: High Epistemic Qua...Brian Hudson
The consideration of teacher education from a global perspective foregrounds the challenge of inequality as a core challenge for contemporary societies and for educational systems. The crucial role of education in relation to this challenge is highlighted in the UNICEF/UNESCO report on the Global Thematic Consultation in the Post-2015 Development Agenda, which stresses education as a “fundamental human right”. The report calls for two main education specific goals to be addressed as part of the future development framework: equitable access and equitable quality education. Accordingly this paper considers the relation between quality and learning and in particular that between epistemic quality and equitable learning. The work of Jo Boaler is especially relevant to the former in relation to her proposition about ‘the elephant in the mathematics classroom’. Of particular significance is her argument that in many maths classrooms a very narrow subject is taught to children, that is nothing like the maths of the world or the maths that mathematicians use. In our recent study on developing mathematical thinking we present this as an issue of epistemic quality (Hudson et al., 2015). High epistemic quality involves mathematics as fallible, refutable and uncertain, critical thinking, creative reasoning, multiple solutions and learning from errors and mistakes. In contrast low epistemic quality is characterised by mathematics as infallible, authoritarian, dogmatic, absolutist, irrefutable, certain, rule following of strict procedures and right or wrong answers. Additionally we consider how a thematic approach through the study of butterflies and moths in the Amazon rainforest resulted in mathematics becoming more accessible for all (Hudson, 2015). Such accessibility is central to equitable learning, which is seen as learning that produces educational justice (“Bildungsgerechtigkeit”). The paper concludes by considering how to redress the extent to which educational systems, and also everyday teaching practices and classroom interaction, reproduce inequality.
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.
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
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/
Keynote APT 2018 The power of learning analytics for teaching and academic de...Bart Rienties
Across the globe many educational institutions are collecting vast amounts of small and big data about students and their learning behaviour, such as their class attendance, online activities, or assessment scores. As a result, the emerging field of Learning Analytics is exploring how data can be used to empower teachers and institutions to effectively support learners. The way teachers design learning and teaching practices have a substantial impact how our students are engaging in- and outside class. Recent research within the Institute of Educational Technology has found that 69% of how students learn on a weekly basis is determined by what we as teachers design and teach. Furthermore, how teachers are using learning analytics data significantly can help to support students, but what if teachers do not want or are able to embrace big data? In this APT2018 keynote, based upon 6 years of experience with LA data and large-scale implementations amongst 450000+ students and 400+ teachers at a range of contexts, I will use an interactive format to discuss and debate three major questions: 1) To what extent is learning analytics the new holy grail of learning and teaching? 2) How can learning design be optimised using the principles of learning analytics?; 3) How should institutions provide academic development opportunities to learn to embrace the affordances and limitations of learning analytics?
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
http://www.ccsprojects.com/ - This white paper from CCS Presentation Systems partner eInstruction summarizes key points in that evidence and describe how eInstruction’s CPS student response system can be used in research-based ways to support effective instruction. eInstruction technology gives administrators the ability to instantly capture, grade, report and analyze student performance data. eInstruction offers educators and administrators a family of software, student response systems, interactive whiteboards, mobile interactive whiteboards and powerful enterprise-based administrative tools. Learn more about eInstruction’s CPS systems here: http://bit.ly/WN6wKr
Presentazione di Adrés-Sandoval Hernandez relativa al suo intervento "Using Large Scale Assessments to improve schools" al convegno internazionale "Migliorare la scuola" (Napoli 14-15 Maggio) organizzato dall'Indire.
M Phil Dissertation Viva-Voce_Niroj Dahal(Final) Niroj Dahal
This presentation was done for the Partial Fulfillment for the Required for the Degree of Master of Philosophy in Mathematics Education at Kathmandu University, School of Education, Nepal.
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?
LTI series – Learning Analytics with Bart RientiesBart Rienties
Join Bart Rienties, Professor of Learning Analytics at the second LTI Series event
Most institutions, including the OU, are exploring how data can better inform teaching and learning. What can we learn from data, and learning analytics in particular? Should we be afraid about being monitored? Or should we embrace this?
Bart’s research focuses on how the OU can use the power of learning analytics to enhance teaching and learning, and what the potential limitations are for social interaction, cultural discourse, and practice.
This seminar will look at the different models being adopted globally, and use a framework to consider what might be the best approach for the OU.
DATE AND TIME: Thu 25 October 2018, 14:00 – 15:00
LOCATION: The Hub Theatre, Walton Hall, Milton Keynes
Elephants, Butterflies and Moths in the Amazon Rainforest: High Epistemic Qua...Brian Hudson
The consideration of teacher education from a global perspective foregrounds the challenge of inequality as a core challenge for contemporary societies and for educational systems. The crucial role of education in relation to this challenge is highlighted in the UNICEF/UNESCO report on the Global Thematic Consultation in the Post-2015 Development Agenda, which stresses education as a “fundamental human right”. The report calls for two main education specific goals to be addressed as part of the future development framework: equitable access and equitable quality education. Accordingly this paper considers the relation between quality and learning and in particular that between epistemic quality and equitable learning. The work of Jo Boaler is especially relevant to the former in relation to her proposition about ‘the elephant in the mathematics classroom’. Of particular significance is her argument that in many maths classrooms a very narrow subject is taught to children, that is nothing like the maths of the world or the maths that mathematicians use. In our recent study on developing mathematical thinking we present this as an issue of epistemic quality (Hudson et al., 2015). High epistemic quality involves mathematics as fallible, refutable and uncertain, critical thinking, creative reasoning, multiple solutions and learning from errors and mistakes. In contrast low epistemic quality is characterised by mathematics as infallible, authoritarian, dogmatic, absolutist, irrefutable, certain, rule following of strict procedures and right or wrong answers. Additionally we consider how a thematic approach through the study of butterflies and moths in the Amazon rainforest resulted in mathematics becoming more accessible for all (Hudson, 2015). Such accessibility is central to equitable learning, which is seen as learning that produces educational justice (“Bildungsgerechtigkeit”). The paper concludes by considering how to redress the extent to which educational systems, and also everyday teaching practices and classroom interaction, reproduce inequality.
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.
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
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/
Keynote APT 2018 The power of learning analytics for teaching and academic de...Bart Rienties
Across the globe many educational institutions are collecting vast amounts of small and big data about students and their learning behaviour, such as their class attendance, online activities, or assessment scores. As a result, the emerging field of Learning Analytics is exploring how data can be used to empower teachers and institutions to effectively support learners. The way teachers design learning and teaching practices have a substantial impact how our students are engaging in- and outside class. Recent research within the Institute of Educational Technology has found that 69% of how students learn on a weekly basis is determined by what we as teachers design and teach. Furthermore, how teachers are using learning analytics data significantly can help to support students, but what if teachers do not want or are able to embrace big data? In this APT2018 keynote, based upon 6 years of experience with LA data and large-scale implementations amongst 450000+ students and 400+ teachers at a range of contexts, I will use an interactive format to discuss and debate three major questions: 1) To what extent is learning analytics the new holy grail of learning and teaching? 2) How can learning design be optimised using the principles of learning analytics?; 3) How should institutions provide academic development opportunities to learn to embrace the affordances and limitations of learning analytics?
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
http://www.ccsprojects.com/ - This white paper from CCS Presentation Systems partner eInstruction summarizes key points in that evidence and describe how eInstruction’s CPS student response system can be used in research-based ways to support effective instruction. eInstruction technology gives administrators the ability to instantly capture, grade, report and analyze student performance data. eInstruction offers educators and administrators a family of software, student response systems, interactive whiteboards, mobile interactive whiteboards and powerful enterprise-based administrative tools. Learn more about eInstruction’s CPS systems here: http://bit.ly/WN6wKr
Presentazione di Adrés-Sandoval Hernandez relativa al suo intervento "Using Large Scale Assessments to improve schools" al convegno internazionale "Migliorare la scuola" (Napoli 14-15 Maggio) organizzato dall'Indire.
M Phil Dissertation Viva-Voce_Niroj Dahal(Final) Niroj Dahal
This presentation was done for the Partial Fulfillment for the Required for the Degree of Master of Philosophy in Mathematics Education at Kathmandu University, School of Education, Nepal.
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?
LTI series – Learning Analytics with Bart RientiesBart Rienties
Join Bart Rienties, Professor of Learning Analytics at the second LTI Series event
Most institutions, including the OU, are exploring how data can better inform teaching and learning. What can we learn from data, and learning analytics in particular? Should we be afraid about being monitored? Or should we embrace this?
Bart’s research focuses on how the OU can use the power of learning analytics to enhance teaching and learning, and what the potential limitations are for social interaction, cultural discourse, and practice.
This seminar will look at the different models being adopted globally, and use a framework to consider what might be the best approach for the OU.
DATE AND TIME: Thu 25 October 2018, 14:00 – 15:00
LOCATION: The Hub Theatre, Walton Hall, Milton Keynes
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
Learning analytics - what can we achieve together.pptxRebecca Ferguson
Keynote given on 7 June 2023 by Rebecca Ferguson of The Open University in the UK at the Learning Analytics Summer Institute (LASI) organised by the Society for Learning Analytics Research (SoLAR) in Singapore.
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.
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.
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.
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.
Learning Analytics and the Scholarship of Teaching and Learning - an obvious ...Blackboard APAC
The scholarship of teaching and learning (SoTL) essentially advocates for a research approach to be applied to the improvement of learning and teaching. It encourages teachers to reflect in a scholarly way on their teaching practice and at the more advanced level to undertake research on teaching practice and curriculum. Learning analytics has the potential to provide data on elements of the teaching process which have to date been difficult to measure particularly for the broader cohort of teachers.
This presentation will draw attention to the connection between SoTL and learning analytics and prompt participants to think about how learning analytics can be used in a wider context to contribute to changes in teaching design and practice.
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
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
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 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/
Overview of Effective Learning Analytics Using data and analytics to support ...Bart Rienties
Begona Nunez-Herran and Kevin Mayles (Data and Student Analytics), Rebecca Ward (Data Strategy and Governance)
-Move towards centralised LA data infrastructure
-Data governance and lessons learned
Prof Bart Rienties & PhD students (Institute of Educational Technology)
-What is the latest “blue sky” learning analytics research from the OU?
-Rogers Kalissa: Social Learning Analytics to support teaching (University of Oslo)
-Saman Rizvi: Cultural impact of MOOC learning (IET)
-Shi Min Chua: Why does no one reply to my posts (IET/WELS)
-Maina Korir: Ethics and LA (IET)
-Anna Gillespie: Predictive Learning Analytics and role of tutors (EdD)
Prof John Domingue (Knowledge Media Institute) & Dr Thea Herodotou (IET)
-What have we learned from 5 years of large scale implementation of OU Analyse?
-Where is LA/AI going?
Lessons learned from 200K students and 2 GB of learning gains data.Bart Rienties
OfS national conference on learning gains, Birmingham, 12 March 2019
Student Participation: how can learning gain data help students from all backgrounds access, succeed and proceed in higher education @learninggains @officeforstudents
https://abclearninggains.com/
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
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.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Keynote SEC2019 Leeds: The power of learning analytics to impact learning and teaching: a critical perspective
1. The power of learning analytics to impact
learning and teaching: a critical perspective
If you want to vote and share, log into:
https://pollev.com/bartrienties552@DrBartRienties
Professor of Learning Analytics
2. Ferguson, R., Coughlan, T., Egelandsdal, K., Gaved, M., Herodotou, C., Hillaire, G., Jones, D., Jowers, I., Kukulska-Hulme, A., McAndrew, P., Misiejuk, K.,
Ness, I. J., Rienties, B., Scanlon, E., Sharples, M., Wasson, B., Weller, M. and Whitelock, D. (2019). Innovating Pedagogy 2019: Open University Innovation
Report 7. Milton Keynes: The Open University.
3. A special thanks to Avinash Boroowa, Shi-Min Chua, Simon Cross, Doug Clow, Chris Edwards, Rebecca Ferguson, Mark Gaved, Christothea Herodotou, Martin
Hlosta, Wayne Holmes, Garron Hillaire, Simon Knight, Nai Li, Vicky Marsh, Kevin Mayles, Jenna Mittelmeier, Vicky Murphy, Quan Nguygen, Tom Olney, Lynda
Prescott, John Richardson, Saman Rizvi, Jekaterina Rogaten, Matt Schencks, Mike Sharples, Dirk Tempelaar, Belinda Tynan, Lisette Toetenel, Thomas
Ullmann, Denise Whitelock, Zdenek Zdrahal, and others…
4. Dyckhoff, A. L., Zielke, D., Bültmann, M., Chatti, M. A., & Schroeder, U. (2012). Design and Implementation of a Learning Analytics Toolkit for Teachers. Journal of Educational Technology & Society, 15(3), 58-76.
5. Dyckhoff, A. L., Zielke, D., Bültmann, M., Chatti, M. A., & Schroeder, U. (2012). Design and Implementation of a Learning Analytics Toolkit for Teachers. Journal of Educational Technology & Society, 15(3), 58-76.
8. Option 4: Break away from peloton in final lap like WC 2017 Chantal
Blaak
Option 2: Be the strongest on final climb: WC 2012
Marianne Vos
Option 3: Wait and be the fastest in final peloton sprint: 2013
Marianne Vos
Option 1: Do a long solo from beginning of the race:
Boston Mayor Cup 2015: Emma Grant
9.
10. Prof Paul Kirschner (OU NL)
“Learning analytics: Utopia or dystopia”, LAK 2016 conference
11. Learning Design is described as “a methodology for enabling
teachers/designers to make more informed decisions in how they go about
designing learning activities and interventions, which is pedagogically
informed and makes effective use of appropriate resources and
technologies” (Conole, 2012).
12. Assimilative Finding and
handling
information
Communication Productive Experiential Interactive/
Adaptive
Assessment
Type of activity Attending to
information
Searching for
and processing
information
Discussing
module related
content with at
least one other
person (student
or tutor)
Actively
constructing an
artefact
Applying
learning in a
real-world
setting
Applying
learning in a
simulated
setting
All forms of
assessment,
whether
continuous, end
of module, or
formative
(assessment for
learning)
Examples of
activity
Read, Watch,
Listen, Think
about, Access,
Observe,
Review, Study
List, Analyse,
Collate, Plot,
Find, Discover,
Access, Use,
Gather, Order,
Classify, Select,
Assess,
Manipulate
Communicate,
Debate, Discuss,
Argue, Share,
Report,
Collaborate,
Present,
Describe,
Question
Create, Build,
Make, Design,
Construct,
Contribute,
Complete,
Produce, Write,
Draw, Refine,
Compose,
Synthesise,
Remix
Practice, Apply,
Mimic,
Experience,
Explore,
Investigate,
Perform,
Engage
Explore,
Experiment,
Trial, Improve,
Model, Simulate
Write, Present,
Report,
Demonstrate,
Critique
Conole, G. (2012). Designing for Learning in an Open World. Dordrecht: Springer.
Rienties, B., Toetenel, L., (2016). The impact of learning design on student behaviour, satisfaction and performance: a cross-institutional comparison across 151
modules. Computers in Human Behavior, 60 (2016), 333-341
Open University Learning Design Initiative (OULDI)
13.
14. Merging big data sets
• Learning design data (>300 modules mapped)
• VLE data
• >140 modules aggregated individual data weekly
• >37 modules individual fine-grained data daily
• Student feedback data (>140)
• Academic Performance (>140)
• Predictive analytics data (>40)
• Data sets merged and cleaned
• 111,256 students undertook these modules
15. Toetenel, L., Rienties, B. (2016). Analysing 157 Learning Designs using Learning Analytic approaches as a means to evaluate the impact of pedagogical
decision-making. British Journal of Educational Technology, 47(5), 981–992.
16.
17. Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, R., Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student
engagement, satisfaction, and pass rates. Computers in Human Behavior. DOI: 10.1016/j.chb.2017.03.028.
69% of what students are
doing in a week is
determined by us, teachers!
18. Constructivist
Learning Design
Assessment
Learning Design
Productive
Learning Design
Socio-construct.
Learning Design
VLE Engagement
Student
Satisfaction
Student
retention
150+ modules
Week 1 Week 2 Week30
+
Rienties, B., Toetenel, L., (2016). The impact of learning design on student behaviour, satisfaction and performance: a cross-institutional comparison across 151
modules. Computers in Human Behavior, 60 (2016), 333-341
Nguyen, Q., Rienties, B., Toetenel, L., Ferguson, R., Whitelock, D. (2017). Examining the designs of computer-based assessment and its impact on student
engagement, satisfaction, and pass rates. Computers in Human Behavior. DOI: 10.1016/j.chb.2017.03.028.
Communication
19. So what happens when you give
learning design visualisations to
teachers?
Toetenel, L., Rienties, B. (2016) Learning Design – creative design to visualise learning activities. Open Learning: The Journal of Open and Distance Learning,
31(3), 233-244.
20. Toetenel, L., Rienties, B. (2016) Learning Design – creative design to visualise learning activities. Open Learning: The Journal of Open and Distance Learning,
31(3), 233-244.
21.
22.
23. So what happens when you give
learning analytics data about
students to teachers?
1. How did 240 teachers within the 10
modules made use of PLA data (OUA
predictions) and visualisations to help
students at risk?
2. To what extent was there a positive
impact on students' performance and
retention when using OUA
predictions?
3. Which factors explain teachers' uses
of OUA?
24. Usage of OUA dashboard by participating
teachers
2
Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., Hlosta, M., & Naydenova, G. (2017). Implementing predictive learning analytics on a large scale: the
teacher's perspective. Paper presented at the Proceedings of the Seventh International Learning Analytics & Knowledge Conference, Vancouver, British
25. 25
Which factors better predict pass and completion rates?
Regression analysis
Student
characteristics
Age
Gender
New/c
ontinu
ous
Disability
Ethnicity
Educat
ion
IMD
band
Best
previous
score
Sum of
previous
credits
Teacher
characteristics
Module
presentations
per teacher
Students per
module
presentation
OUA usage
module
design
Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., Hlosta, M. (Submitted: 01-08-2017). Using Predictive Learning Analytics to Support Just-in-time
Interventions: The Teachers' Perspective Across a Large-scale Implementation.
26. 26
Significant model (pass: χ2= 76.391, p < .001, df = 24).
Logistic regression results (pass rates)
Nagelkerke’s R2 = .185 (model explains 18% of
the variance in passing rates)
Correctly classified over 70% of the cases
(prediction success overall was 70.2%: 33.5 % for
not passing a module and 88.7% for passing a
module).
Significant predictors of both pass and completion
rates:
OUA usage (p=.006)
Best previous module score achieved (p=.005)
All other predictors were not significant.
Best
predictors
of pass
rates
OUA
usage
Best
previous
score
Herodotou, C., Rienties, B., Boroowa, A., Zdrahal, Z., Hlosta, M. (Submitted: 01-08-2017). Using Predictive Learning Analytics to Support Just-in-time
Interventions: The Teachers' Perspective Across a Large-scale Implementation.
27. Conclusions and moving forwards
1. Teachers and professional development key in
world of learning analytics
2. Learning design and teachers strongly influences
student engagement, satisfaction and performance
3. Learning analytics can be quite powerful to
understand complexities of learning in- and outside
class
28. Conclusions and moving forwards
1. Learning analytics approaches can
help researchers and practitioners to
test and validate big and small
theoretical questions
2. I am open for any collaborations or any
wild ideas
29. The power of learning analytics to impact
learning and teaching: a critical perspective
If you want to vote and share, log into:
https://pollev.com/bartrienties552@DrBartRienties
Professor of Learning Analytics