Will time tell? Exploring the relationship between step duration and student ...Irene-Angelica Chounta
==ICLS 2018 talk==
Abstract: In this paper, we explore how the time students take to solve a problem may relate to their success. Even though prior research indicates that students’ response times can provide some indication regarding correctness, time is not consistently and broadly used when modeling students’ performance. We aim to clarify the relationship between the step duration
– that is, the time a student takes to carry out a step of a learning task – and the outcome of
this step with respect to correctness for STEM-related courses. Then, we discuss our early
findings, how they can be used to enhance student modeling and to provide meaningful and
timely feedback to students.
Associate Professor Tracey Bretag: Contract cheating implications for Teachin...Studiosity.com
"Contract cheating is a symptom, not a problem." Associate Professor Bretag provides an overview of the research on contract cheating and how students deal with it in the higher education landscape, at the 2018 Studiosity Symposium.
Watch the video of Tracey's presentation at https://youtu.be/6rS2mTIr1U4 [41mins]
Classsourcing: Crowd-Based Validation of Question-Answer Learning Objects @ I...Jakub Šimko
A simple approach for assessing answer validity information from a student crowd in an online learning scenario context. Raises the questions about using of the student crowds for enhancing learning content and online student collaboration.
Toward an automated student feedback system for text based assignments - Pete...Blackboard APAC
As the use of blended learning environments and digital technologies become integrated into the higher education sector, rich technologies such as analytics have the ability to assist teaching staff identify students at risk, learning material that is not proving effective and learning site designs that aid and facilitate improved learning. More recently consideration has been given to automated essay scoring. Such systems can be used in a formative way, such as providing feedback on initial assignment drafts or summatively through the analysis of final assignment submissions. Further, providing students with quick feedback on written assignments opens the opportunity through formative feedback to improved learning outcomes.
This presentation details a current project developing a system to analyse text-based assignments. The project is being developed for broad application, but the findings focus on an undergraduate pilot subject: ‘Ideas that Shook the World’ (a compulsory first year Bachelor of Arts subject taught on 5 campuses to more than 1000 students by 15 staff). Preliminary results of a fist scan of assignments are presented and the issues raised in developing the system presented together with an outline of additional work planned for the project. It is believed the work will have wide application where text-based assignments are utilised for assessment.
Research in Distance Education: impact on practice conference, 27 October 2010. Presentation in Design for Learning Strand by Sally Jordan, Open University Science Faculty.
More details at www.cde.london.ac.uk.
Will time tell? Exploring the relationship between step duration and student ...Irene-Angelica Chounta
==ICLS 2018 talk==
Abstract: In this paper, we explore how the time students take to solve a problem may relate to their success. Even though prior research indicates that students’ response times can provide some indication regarding correctness, time is not consistently and broadly used when modeling students’ performance. We aim to clarify the relationship between the step duration
– that is, the time a student takes to carry out a step of a learning task – and the outcome of
this step with respect to correctness for STEM-related courses. Then, we discuss our early
findings, how they can be used to enhance student modeling and to provide meaningful and
timely feedback to students.
Associate Professor Tracey Bretag: Contract cheating implications for Teachin...Studiosity.com
"Contract cheating is a symptom, not a problem." Associate Professor Bretag provides an overview of the research on contract cheating and how students deal with it in the higher education landscape, at the 2018 Studiosity Symposium.
Watch the video of Tracey's presentation at https://youtu.be/6rS2mTIr1U4 [41mins]
Classsourcing: Crowd-Based Validation of Question-Answer Learning Objects @ I...Jakub Šimko
A simple approach for assessing answer validity information from a student crowd in an online learning scenario context. Raises the questions about using of the student crowds for enhancing learning content and online student collaboration.
Toward an automated student feedback system for text based assignments - Pete...Blackboard APAC
As the use of blended learning environments and digital technologies become integrated into the higher education sector, rich technologies such as analytics have the ability to assist teaching staff identify students at risk, learning material that is not proving effective and learning site designs that aid and facilitate improved learning. More recently consideration has been given to automated essay scoring. Such systems can be used in a formative way, such as providing feedback on initial assignment drafts or summatively through the analysis of final assignment submissions. Further, providing students with quick feedback on written assignments opens the opportunity through formative feedback to improved learning outcomes.
This presentation details a current project developing a system to analyse text-based assignments. The project is being developed for broad application, but the findings focus on an undergraduate pilot subject: ‘Ideas that Shook the World’ (a compulsory first year Bachelor of Arts subject taught on 5 campuses to more than 1000 students by 15 staff). Preliminary results of a fist scan of assignments are presented and the issues raised in developing the system presented together with an outline of additional work planned for the project. It is believed the work will have wide application where text-based assignments are utilised for assessment.
Research in Distance Education: impact on practice conference, 27 October 2010. Presentation in Design for Learning Strand by Sally Jordan, Open University Science Faculty.
More details at www.cde.london.ac.uk.
Presentation of Dr Mark Nichols, Director of Technology Enhanced Learning, The Open University UK for the European Distance Learning Week's second day webinar on "Quality in open, online and technology enhanced learning"- 8 November 2016
Recordings of the discussion are available: https://eden-online.adobeconnect.com/p4vvgr2g7g4/
https://eden-online.adobeconnect.com/p4cqdhsuxmj/
With every new iteration of technology, we create generations of students whose primary media "language" for learning and interacting with the world is different than the generation before it. In the last five years, technologies like online homework, free online videos, personalized learning software, mobile devices, learning analytics, high-quality digital math games, computational knowledge engines have been chipping away at the corners of education and traditional teaching. Technology-enhanced learning is here to stay and it will alter the face of education, like it or not. This is a guide to navigating and thriving in this new world.
This presentation focuses on learning design and how they differ from learning activities and many more.Hopefully you find this information helpful.Enjoy
What data from 3 million learners can tell us about effective course designJohn Whitmer, Ed.D.
Presentation of research findings and implications from a large-scale analysis of LMS activity and grade data from across 927 institutions, 70,000 courses, and 3.3 million students. This webinar will speak to the promise (and potential pitfalls) of large-scale learning analytics research to promote student success.
This presentation to the MoodleMoot UK/I 2017 provides an overview of Learning Analytics for VLE/LMS data and lessons learned in practice from using this data to model student risk and other characteristics. The findings come from fundamental research and application of Blackboard's X-Ray Learning Analytics application.
Using Analytics to Increase Student SuccessDavid Lindrum
Presentation from the 2014 New Directions in Online Learning Conference in San Diego. The gist is that faculty can see which students need help early on, intervene with those students, and thereby increase the number of students who successfully complete the course. All data has been anonymized.
By Jennifer Spohrer, Bryn Mawr College for the e-Learning 2.0 Conference, March 29, 2012. In this presentation, Jennifer Spohrer addresses this research question: Can we use a blended learning approach to improve learning outcomes in introductory STEM courses?
Intelligent Adaptive Learning - An Essential Element of 21st Century Teaching...DreamBox Learning
Providing truly differentiated, individualized instruction has been a goal of educators for decades, but new technologies available today are empowering schools to implement this form of education in a way never before possible. Intelligent adaptive learning software is able to tailor instruction according to each student’s unique needs, understandings and interests while remaining grounded in sound pedagogy.
Attend this web seminar to hear the latest findings from Cheryl Lemke, of the research firm Metiri Group, about how intelligent adaptive learning works, the role the technology can play in raising student achievement, and the research base required for districts to invest wisely in these new tools.
Seeing Through “Learner’s Eyes” – using student evaluation of teaching at UCD...CONUL Conference
Presented at the CONUL Conference, July 2015, Athlone, Ireland by Michelle Dalton, University College Dublin.
Abstract
"Student evaluation of teaching (SET) is one of Brookfield’s (2002) Four Lenses of Critical Reflection (2002). When combined with peer observation, relevant theoretical literature and self-reflection, it can provide a useful channel for gathering feedback on the value and effectiveness of teaching. This paper discusses the design and development of a feedback collection tool for information literacy sessions at UCD Library, whilst raising some of the key questions involved in the process including:
Why do we need student feedback and what can we learn from it?
Qualitative or quantitative data – which is more valuable?
What about student self-reporting and self-rating?
Satisfaction ratings as a proxy for evaluating the quality of teaching – what do they really tell us?
How can format - paper-based or online – influence the quantity and quality of responses?
Informed by this underlying theoretical context, the paper also discusses the use of the tool in practice. The feedback form has now been implemented by the UCD College Liaison Librarian team over a full academic year, yielding useful data and insight that have helped to inform future practice. The paper concludes by highlighting some of the emerging themes from this data, outlining how it might potentially be used to improve the effectiveness of teaching and learning in information literacy.
"
Biography
Michelle Dalton is the Liaison Librarian for the College of Human Sciences in UCD Library, and also has experience working in corporate, medical and special libraries. She has published a number of articles in peer-reviewed journals including the Journal of Academic Librarianship, the Journal of Information Literacy and Library & Information Research, and is editor and co-founder of the Irish library blog Libfocus.com. Follow her on twitter @mishdalton.
Presentation of Dr Mark Nichols, Director of Technology Enhanced Learning, The Open University UK for the European Distance Learning Week's second day webinar on "Quality in open, online and technology enhanced learning"- 8 November 2016
Recordings of the discussion are available: https://eden-online.adobeconnect.com/p4vvgr2g7g4/
https://eden-online.adobeconnect.com/p4cqdhsuxmj/
With every new iteration of technology, we create generations of students whose primary media "language" for learning and interacting with the world is different than the generation before it. In the last five years, technologies like online homework, free online videos, personalized learning software, mobile devices, learning analytics, high-quality digital math games, computational knowledge engines have been chipping away at the corners of education and traditional teaching. Technology-enhanced learning is here to stay and it will alter the face of education, like it or not. This is a guide to navigating and thriving in this new world.
This presentation focuses on learning design and how they differ from learning activities and many more.Hopefully you find this information helpful.Enjoy
What data from 3 million learners can tell us about effective course designJohn Whitmer, Ed.D.
Presentation of research findings and implications from a large-scale analysis of LMS activity and grade data from across 927 institutions, 70,000 courses, and 3.3 million students. This webinar will speak to the promise (and potential pitfalls) of large-scale learning analytics research to promote student success.
This presentation to the MoodleMoot UK/I 2017 provides an overview of Learning Analytics for VLE/LMS data and lessons learned in practice from using this data to model student risk and other characteristics. The findings come from fundamental research and application of Blackboard's X-Ray Learning Analytics application.
Using Analytics to Increase Student SuccessDavid Lindrum
Presentation from the 2014 New Directions in Online Learning Conference in San Diego. The gist is that faculty can see which students need help early on, intervene with those students, and thereby increase the number of students who successfully complete the course. All data has been anonymized.
By Jennifer Spohrer, Bryn Mawr College for the e-Learning 2.0 Conference, March 29, 2012. In this presentation, Jennifer Spohrer addresses this research question: Can we use a blended learning approach to improve learning outcomes in introductory STEM courses?
Intelligent Adaptive Learning - An Essential Element of 21st Century Teaching...DreamBox Learning
Providing truly differentiated, individualized instruction has been a goal of educators for decades, but new technologies available today are empowering schools to implement this form of education in a way never before possible. Intelligent adaptive learning software is able to tailor instruction according to each student’s unique needs, understandings and interests while remaining grounded in sound pedagogy.
Attend this web seminar to hear the latest findings from Cheryl Lemke, of the research firm Metiri Group, about how intelligent adaptive learning works, the role the technology can play in raising student achievement, and the research base required for districts to invest wisely in these new tools.
Seeing Through “Learner’s Eyes” – using student evaluation of teaching at UCD...CONUL Conference
Presented at the CONUL Conference, July 2015, Athlone, Ireland by Michelle Dalton, University College Dublin.
Abstract
"Student evaluation of teaching (SET) is one of Brookfield’s (2002) Four Lenses of Critical Reflection (2002). When combined with peer observation, relevant theoretical literature and self-reflection, it can provide a useful channel for gathering feedback on the value and effectiveness of teaching. This paper discusses the design and development of a feedback collection tool for information literacy sessions at UCD Library, whilst raising some of the key questions involved in the process including:
Why do we need student feedback and what can we learn from it?
Qualitative or quantitative data – which is more valuable?
What about student self-reporting and self-rating?
Satisfaction ratings as a proxy for evaluating the quality of teaching – what do they really tell us?
How can format - paper-based or online – influence the quantity and quality of responses?
Informed by this underlying theoretical context, the paper also discusses the use of the tool in practice. The feedback form has now been implemented by the UCD College Liaison Librarian team over a full academic year, yielding useful data and insight that have helped to inform future practice. The paper concludes by highlighting some of the emerging themes from this data, outlining how it might potentially be used to improve the effectiveness of teaching and learning in information literacy.
"
Biography
Michelle Dalton is the Liaison Librarian for the College of Human Sciences in UCD Library, and also has experience working in corporate, medical and special libraries. She has published a number of articles in peer-reviewed journals including the Journal of Academic Librarianship, the Journal of Information Literacy and Library & Information Research, and is editor and co-founder of the Irish library blog Libfocus.com. Follow her on twitter @mishdalton.
Myths And Misperceptions About Online Learning2P Shea
Invited Session featuring researchers who have conducted reviews of online learning published in Review of Educational Research. The session includes a conceptual, traditional, and meta-analytic review of this topic.
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/
Presentation to Workshop on Design Research held at Umeå Mathemtics Education Research Centre (UMERC), 16 - 17 December 2010.
http://www.ufm.umu.se/english
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.
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
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).
eLearning Alliance CLD Group - Assessment ToolsKenji Lamb
Short presentation for eLearning Alliance CLD Group. Slides don't contain much information - though links might be useful for those who attended.
Again, it's more about how the individual tools are used, as opposed to the tools themselves being 'magic bullets', and many of you may have access to equivalent tools already (e.g. the assessment tools in Moodle).
Discussing how Newbattle Abbey College can play its part to save the environment by reducing the amount of waste it produces and reusing more material.
5. I’m useless at maths! How e-assessment can be used to raise competence and confidence in student primary teachers? Sheila Henderson University of Dundee School of Education
Minimum entry requirement is Standard Grade Credit or Intermediate 2 Mathematics. Dundee has approximately 16 applicants for every place offered on BEd course. Poor performance in numeracy test can result in no offer of a place. Peer tutoring has been set up with PGDEP students and is planned for BEd once the pilot with PGDEP is evaluated.
5-14 current curriculum structure – level F the highest – below Standard Grade/Int 2 content. Assessment piloted with Education colleagues and 180 Professional Graduate Diploma in Education Primary students. The research was to be based on the results of this group but the pilot indicated some technical issues which needed to be resolved. The current cohort of PGDEP students have been surveyed and assessed but data has not yet been analysed. When a question is answered incorrectly structured feedback is offered in the hope that subsequent attempts are successful.
Paradox that the higher the qualification the less likely to perform well Several students attempted the assessment throughout the semester and raised their scores from well below 65% to well over 80%. The only student to possess Advanced Higher Maths did not score the highest in the assessment. 5 students scored 96% (the highest score) – 4 with Standard Grade/ Int2 and 1 with Higher. Of the sample 80 students the ratio of those with Standard Grade/Int 2 to those with Higher is 2:1 yet within this 5 students ratio is 4:1.