Digital tool criticism is a recent and important discussion in Digital Humanities research. We define digital tool criticism as the reflection on the role of digital tools in the research methodology and the evaluation of the suitability of a given digital tool for a specific research goal. The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve a tool’s performance. That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods, interpretations and outcomes. Our goal with developing digital tool criticism as a method is to help scholars better understand how research methods, tools and activities shape our interpretations. Based on our experiences with two hands-on workshops on digital tool criticism, we find that reflection on using digital tools and data in all phases of the research process is key.
Reflection urges scholars to consider digital data and tools as part of the overall research goals and design, and interdependent with other elements of research design, namely research questions and methods. As scholars go through their research process, assumptions on the research design and the connection between tools, data and questions are constantly challenged, forcing updates in the design and the interpretation of data and question.
Data Scopes - Towards transparent data research in digital humanities (Digita...Marijn Koolen
Data scopes describe the process of data gathering, cleaning and combining in digital humanities research, which is too often considered as mere preparation that is not part of research, and is mostly not described in scholarly communications. We argue that scholars need to be more aware of the intellectual effort of this process and make it more transparent
Analysis of Multiple Pilots for ICT-supported Lifelong Competence Development, Davinia Hernández-Leo, davinia.hernandez@upf.edu, TENCompetence Winter School 2009, 1-6 February Innsbruck, Austria
Data Scopes - Towards transparent data research in digital humanities (Digita...Marijn Koolen
Data scopes describe the process of data gathering, cleaning and combining in digital humanities research, which is too often considered as mere preparation that is not part of research, and is mostly not described in scholarly communications. We argue that scholars need to be more aware of the intellectual effort of this process and make it more transparent
Analysis of Multiple Pilots for ICT-supported Lifelong Competence Development, Davinia Hernández-Leo, davinia.hernandez@upf.edu, TENCompetence Winter School 2009, 1-6 February Innsbruck, Austria
Learning design and data analytics: from teacher communities to CSCL scriptsdavinia.hl
Open Seminar at the University of Oulu, 4th Dec. 2018
http://www.oulu.fi/koulutusteknologia/node/56057
Learning design and data analytics: from teacher communities to computer-supported collaborative learning scripts
Presenter: Davinia Hernández-Leo, Associate Professor, Information and Communication Technologies Department, University Pompeu Fabra, Barcelona
Brief description: I will present an overview of the educational technologies research conducted by the TIDE research group of the Information and Communication Technologies Department at Universitat Pompeu Fabra in Barcelona (http://www.upf.edu/web/tide @TIDE_UPF). The overview will be articulated around the perspective, central to TIDE work, of supporting teachers and teacher communities (e.g a school) in the design of the best possible (technology-enhanced) learning activities considering their students and their contexts. Main research contributions that will be presented include a community platform for integrated learning design (ILDE, including multiple authoring tools e.g. edCrumble), scalable and flexible orchestration of computer-supported collaborative learning scripts (PyramidApp), and the use of data analytics at different levels (learning, design, community) to support teachers in learning (re)design. The presentation will include results of European, Spanish and Catalan projects (METIS, RESET, CoT) and our initial work in recently started projects (SmartLET, Illuminated).
Hernández-Leo, D., et al. (available online) Analytics for learning design: A layered framework and tools, British Journal of Educational Technology. https://doi.org/10.1111/bjet.12645
Hernández-Leo, D., et al. (2018). An Integrated Environment for Learning Design. Frontiers in ICT, 5, 9. doi: 10.3389/fict.2018.00009
Michos, K., Hernández-Leo, D., (2018) Supporting awareness in communities of learning design practice, Computers in Human Behavior, 85, 255-270. https://doi.org/10.1016/j.chb.2018.04.008
Michos, K., & Hernández-Leo, D., Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. British Journal of Educational Technology 49(6), 1077-1095. https://doi.org/10.1111/bjet.12696.
Manathunga, K., Hernández-Leo, D., (2018), Authoring and enactment ofmobile pyramid-based collaborative learning activities, British Journal ofEducational Technology, 49(2),262–275,doi:10.1111/bjet.12588
Albo L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology-Enhanced Learning (EC-TEL 2018); 2018 Sep 3-6; Leeds, UK, 605-609.
Learning Analytics – Research challenges arising from a current review of LA useRiina Vuorikari
The JRC published a report on the use of Learning Analytics in education. These slides talk about the research challenges that arise from that report.
Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., Rienties, B., Ullmann, T., Vuorikari, R., Research Evidence on the Use of Learning Analytics and Their Implications for Education Policy. (2016), Joint Research Centre Science for Policy Report.
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/research-evidence-use-learning-analytics-implications-education-policy
Presentation for the American Sociological Association's Department Affiliates Webinar Series. Discussion of using quantitative data in courses throughout the undergraduate curriculum, including why it's a good practice, how it can be done, and where one can find resources that make it easier.
Slides from Keynote presentation at the University of Southern California's 2015 Teaching with Technology annual conference.
"9:15 am – ANN Auditorium
Key Note: What Do We Mean by Learning Analytics?
Leah Macfadyen, Director for Evaluation and Learning Analytics, University of British Columbia
Executive Board, SoLAR (Society for Learning Analytics Research)
Leah Macfadyen will define and explore the emerging and interdisciplinary field of learning analytics in the context of quantified and personalized learning. Leah will use actual examples and case studies to illustrate the range of stakeholders learning analytics may serve, the diverse array of questions they may be used to address, and the potential impact of learning analytics in higher education."
Visual Perception of International Traffic Signs: Influence of e-Learning and...Gergely Rakoczi
Various eye movement metrics were recorded during the visual perception of international traffic signs embedded within an e-learning course designed to familiarize participants with foreign signage. Goals of the were to gauge differences in task types, sign origin, and ethnicity (American, Chinese, and Austrian) as well as effectiveness of the e-learning teaching materials in terms of prior preparation. Results, in contrast to other studies, suggest that teaching materials had no overall effect on either eye movement metrics nor on task success rates. Instead, sign origin had the strongest effect on gaze, as foreign signs in mixed presentation with domestic signs, elicited a larger number of fixations with longer mean fixation durations, highest regression rates, and lower performance scores. Possible effects of ethnicity were also noted: Americans showed lower mean fixation durations over the entire experiment, independent of test conditions, with Chinese participants fixating faster on (correct) road signs than the other ethnic groups.
Developing a multiple-document-processing performance assessment for epistem...Simon Knight
http://oro.open.ac.uk/41711/
The LAK15 theme “shifts the focus from data to impact”, noting the potential for Learning Analytics based on existing technologies to have scalable impact on learning for people of all ages. For such demand and potential in scalability to be met the challenges of addressing higher-order thinking skills should be addressed. This paper discuses one such approach – the creation of an analytic and task model to probe epistemic cognition in complex literacy tasks. The research uses existing technologies in novel ways to build a conceptually grounded model of trace-indicators for epistemic-commitments in information seeking behaviors. We argue that such an evidence centered approach is fundamental to realizing the potential of analytics, which should maintain a strong association with learning theory.
Open Science and Ethics studies in SLE researchdavinia.hl
Beardsley, M., Santos, P., Hernández-Leo, D., Michos, K. (2019). Ethics in educational technology research: informing participants in data sharing risks. British Journal of Educational Technology, 50(3), 1019-1034, https://doi.org/10.1111/bjet.12781
Beardsley, M., Hernández-Leo, D., Ramirez, R., (2018) Seeking reproducibility: Assessing a multimodal study of the testing effect. Journal of Computer Assisted Learning, 2018, vol. 34, no 4, p. 378-386.
Advances in Learning Analytics and Educational Data Mining MehrnooshV
This presentation is about the state-of-the-art of Learning Analytics and Edicational Data Mining. It is presented by Mehrnoosh Vahdat as the introductory tutorial of Special Session 'Advances in Learning Analytics and Educational Data Mining' at ESANN 2015 conference.
USING MRQAP TO ANALYSE THE DEVELOPMENT OF MATHEMATICS PRE-SERVICE TRAINEES’ C...Christian Bokhove
This paper looks at a data analysis method for analyzing longitudinal network data called MRQAP. We describe a dataset from a study on the development of peer networks of one cohort of pre-service mathematics trainees in the south of England and apply the MRQAP method to its four timepoints. We include attributes for gender, study programme, trust and self-efficacy. The analysis shows that MRQAP is a viable data analysis method for looking at the longitudinal development of networks. We conclude with a short discussion of further methodological challenges and limitations.
Application of Eye Tracking Technology as a Self-Evaluation Tool in the Train...Gergely Rakoczi
Future online tutors are facing an increasing need of using interactive tools in their everyday tutoring tasks. The online moderation and communication processes hereby are becoming more and more demanding. Many training programs of online tutors therefore include special training to exercise personal skills. Examples for these trainings are exercises with web-conferencing tools. Feedback hereby is mainly given by the trainers based on their observations and (if at all) in form of simple screen recordings. The potentials of self-evaluation are often limited. The ongoing case study of this paper tries to improve feedback by introducing eye tracking technology. This paper evaluates the potentials of eye tracking whether the provided feedback for training of personal skills might be enriched with gaze data. The paper investigates whether gaze replays, visualizations and statistics of eye movements might offer more comprehensive feedback to online tutors enabling improvement of their skills.
Data Driven College Counseling by SchooLinksKatie Fang
This workshop will expose school counselors and administrators to a framework for data-driven college planning and accountability. Attendees will learn about data collection, pattern analysis, and translating insight into intervention to best support students in their college planning process. No special statistical knowledge is required for this session, just enthusiasm to understand how using data unlock better student outcomes.
Learning design and data analytics: from teacher communities to CSCL scriptsdavinia.hl
Open Seminar at the University of Oulu, 4th Dec. 2018
http://www.oulu.fi/koulutusteknologia/node/56057
Learning design and data analytics: from teacher communities to computer-supported collaborative learning scripts
Presenter: Davinia Hernández-Leo, Associate Professor, Information and Communication Technologies Department, University Pompeu Fabra, Barcelona
Brief description: I will present an overview of the educational technologies research conducted by the TIDE research group of the Information and Communication Technologies Department at Universitat Pompeu Fabra in Barcelona (http://www.upf.edu/web/tide @TIDE_UPF). The overview will be articulated around the perspective, central to TIDE work, of supporting teachers and teacher communities (e.g a school) in the design of the best possible (technology-enhanced) learning activities considering their students and their contexts. Main research contributions that will be presented include a community platform for integrated learning design (ILDE, including multiple authoring tools e.g. edCrumble), scalable and flexible orchestration of computer-supported collaborative learning scripts (PyramidApp), and the use of data analytics at different levels (learning, design, community) to support teachers in learning (re)design. The presentation will include results of European, Spanish and Catalan projects (METIS, RESET, CoT) and our initial work in recently started projects (SmartLET, Illuminated).
Hernández-Leo, D., et al. (available online) Analytics for learning design: A layered framework and tools, British Journal of Educational Technology. https://doi.org/10.1111/bjet.12645
Hernández-Leo, D., et al. (2018). An Integrated Environment for Learning Design. Frontiers in ICT, 5, 9. doi: 10.3389/fict.2018.00009
Michos, K., Hernández-Leo, D., (2018) Supporting awareness in communities of learning design practice, Computers in Human Behavior, 85, 255-270. https://doi.org/10.1016/j.chb.2018.04.008
Michos, K., & Hernández-Leo, D., Albó, L. (2018). Teacher-led inquiry in technology-supported school communities. British Journal of Educational Technology 49(6), 1077-1095. https://doi.org/10.1111/bjet.12696.
Manathunga, K., Hernández-Leo, D., (2018), Authoring and enactment ofmobile pyramid-based collaborative learning activities, British Journal ofEducational Technology, 49(2),262–275,doi:10.1111/bjet.12588
Albo L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology-Enhanced Learning (EC-TEL 2018); 2018 Sep 3-6; Leeds, UK, 605-609.
Learning Analytics – Research challenges arising from a current review of LA useRiina Vuorikari
The JRC published a report on the use of Learning Analytics in education. These slides talk about the research challenges that arise from that report.
Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., Rienties, B., Ullmann, T., Vuorikari, R., Research Evidence on the Use of Learning Analytics and Their Implications for Education Policy. (2016), Joint Research Centre Science for Policy Report.
https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-research-reports/research-evidence-use-learning-analytics-implications-education-policy
Presentation for the American Sociological Association's Department Affiliates Webinar Series. Discussion of using quantitative data in courses throughout the undergraduate curriculum, including why it's a good practice, how it can be done, and where one can find resources that make it easier.
Slides from Keynote presentation at the University of Southern California's 2015 Teaching with Technology annual conference.
"9:15 am – ANN Auditorium
Key Note: What Do We Mean by Learning Analytics?
Leah Macfadyen, Director for Evaluation and Learning Analytics, University of British Columbia
Executive Board, SoLAR (Society for Learning Analytics Research)
Leah Macfadyen will define and explore the emerging and interdisciplinary field of learning analytics in the context of quantified and personalized learning. Leah will use actual examples and case studies to illustrate the range of stakeholders learning analytics may serve, the diverse array of questions they may be used to address, and the potential impact of learning analytics in higher education."
Visual Perception of International Traffic Signs: Influence of e-Learning and...Gergely Rakoczi
Various eye movement metrics were recorded during the visual perception of international traffic signs embedded within an e-learning course designed to familiarize participants with foreign signage. Goals of the were to gauge differences in task types, sign origin, and ethnicity (American, Chinese, and Austrian) as well as effectiveness of the e-learning teaching materials in terms of prior preparation. Results, in contrast to other studies, suggest that teaching materials had no overall effect on either eye movement metrics nor on task success rates. Instead, sign origin had the strongest effect on gaze, as foreign signs in mixed presentation with domestic signs, elicited a larger number of fixations with longer mean fixation durations, highest regression rates, and lower performance scores. Possible effects of ethnicity were also noted: Americans showed lower mean fixation durations over the entire experiment, independent of test conditions, with Chinese participants fixating faster on (correct) road signs than the other ethnic groups.
Developing a multiple-document-processing performance assessment for epistem...Simon Knight
http://oro.open.ac.uk/41711/
The LAK15 theme “shifts the focus from data to impact”, noting the potential for Learning Analytics based on existing technologies to have scalable impact on learning for people of all ages. For such demand and potential in scalability to be met the challenges of addressing higher-order thinking skills should be addressed. This paper discuses one such approach – the creation of an analytic and task model to probe epistemic cognition in complex literacy tasks. The research uses existing technologies in novel ways to build a conceptually grounded model of trace-indicators for epistemic-commitments in information seeking behaviors. We argue that such an evidence centered approach is fundamental to realizing the potential of analytics, which should maintain a strong association with learning theory.
Open Science and Ethics studies in SLE researchdavinia.hl
Beardsley, M., Santos, P., Hernández-Leo, D., Michos, K. (2019). Ethics in educational technology research: informing participants in data sharing risks. British Journal of Educational Technology, 50(3), 1019-1034, https://doi.org/10.1111/bjet.12781
Beardsley, M., Hernández-Leo, D., Ramirez, R., (2018) Seeking reproducibility: Assessing a multimodal study of the testing effect. Journal of Computer Assisted Learning, 2018, vol. 34, no 4, p. 378-386.
Advances in Learning Analytics and Educational Data Mining MehrnooshV
This presentation is about the state-of-the-art of Learning Analytics and Edicational Data Mining. It is presented by Mehrnoosh Vahdat as the introductory tutorial of Special Session 'Advances in Learning Analytics and Educational Data Mining' at ESANN 2015 conference.
USING MRQAP TO ANALYSE THE DEVELOPMENT OF MATHEMATICS PRE-SERVICE TRAINEES’ C...Christian Bokhove
This paper looks at a data analysis method for analyzing longitudinal network data called MRQAP. We describe a dataset from a study on the development of peer networks of one cohort of pre-service mathematics trainees in the south of England and apply the MRQAP method to its four timepoints. We include attributes for gender, study programme, trust and self-efficacy. The analysis shows that MRQAP is a viable data analysis method for looking at the longitudinal development of networks. We conclude with a short discussion of further methodological challenges and limitations.
Application of Eye Tracking Technology as a Self-Evaluation Tool in the Train...Gergely Rakoczi
Future online tutors are facing an increasing need of using interactive tools in their everyday tutoring tasks. The online moderation and communication processes hereby are becoming more and more demanding. Many training programs of online tutors therefore include special training to exercise personal skills. Examples for these trainings are exercises with web-conferencing tools. Feedback hereby is mainly given by the trainers based on their observations and (if at all) in form of simple screen recordings. The potentials of self-evaluation are often limited. The ongoing case study of this paper tries to improve feedback by introducing eye tracking technology. This paper evaluates the potentials of eye tracking whether the provided feedback for training of personal skills might be enriched with gaze data. The paper investigates whether gaze replays, visualizations and statistics of eye movements might offer more comprehensive feedback to online tutors enabling improvement of their skills.
Data Driven College Counseling by SchooLinksKatie Fang
This workshop will expose school counselors and administrators to a framework for data-driven college planning and accountability. Attendees will learn about data collection, pattern analysis, and translating insight into intervention to best support students in their college planning process. No special statistical knowledge is required for this session, just enthusiasm to understand how using data unlock better student outcomes.
Tools that Encourage Criticism - Leiden University Symposium on Tools CriticismMarijn Koolen
The use of research tools in digital humanities requires critical reflection by the researcher, but also by developers of tools and research infrastructure.
The Humanities Cluster invests a lot of effort in developing infrastructure and tools for digital research. As scholars we want those tools to be easy to use and don't want to bother with many of the technical details. But their ease of use often makes it hard to check if there is a devil in those details who we should want to meet. Digital tools can do a lot of work for us, but only because they are based on a lot of assumptions. Which of these assumptions are important to consider in research? And how can we develop infrastructure and tools that wear their assumptions on their sleeves and that invite us to reflect on their impact? In this talk I will present our research in attempting to address these questions. We have developed conceptual frameworks and techniques for digital tool criticism and evaluation and for thinking and communicating about digital data processes in research. I will discuss the lessons we have learned from bringing these frameworks and techniques into practice and how we can incorporate these lessons in digital humanities research methodology and in developing digital infrastructure.
Involving stakeholders in Learning analytics design is a hard task that requires a clear strategy that otherwise creates a problem with low adoption, disengagement with the tools and unclear expectations. Including teachers, learners, developers and other stakeholders as collaborators in design (Co-design) bring promising benefits in democratizing, aligning and acknowledging stakeholders’ expectations.
Data-Informed Decision Making for Libraries - Athenaeum21Megan Hurst
Athenaeum21 presents three case studies of assessment and evaluation programs in libraries--one past, one current, and one future. The cases use three different modes of data gathering and analysis to show the power of understanding user needs and how well your organization is meeting them.
Data-Informed Decision Making for Digital ResourcesChristine Madsen
This session will provide three case studies of assessment and evaluation programs in libraries--one past, one current, and one future. The cases use three different modes of data gathering and analysis and show the power of understanding user needs and how well your organization is meeting them.
Managing Ireland's Research Data - 3 Research MethodsRebecca Grant
Slides providing an overview of the research methods used in the author's thesis, "Managing Ireland's Research Data: Recognising Roles for Recordkeepers". The methods discussed are online surveys, comparative case studies, and autoethnography.
Licensed as CC-BY.
EMMA Summer School - Rebecca Ferguson - Learning design and learning analytic...EUmoocs
This hands-on workshop will work with learning design tools and with massive open online courses (MOOCs) on the FutureLearn platform to explore how learning design can be used to influence the choice and design of learning analytics. This workshop will be of interest to people who are involved in the design or presentation of online courses, and to those who want to find out more about learning design, learning analytics or MOOCs. Participants will find it helpful to have registered for FutureLearn and explored the platform for a short time in advance of the workshop.
This presentation was given during the EMMA Summer School, that took place in Ischia (Italy) on 4-11 July 2015.
More info on the website: http://project.europeanmoocs.eu/project/get-involved/summer-school/
Follow our MOOCs: http://platform.europeanmoocs.eu/MOOCs
Design and deliver your MOOC with EMMA: http://project.europeanmoocs.eu/project/get-involved/become-an-emma-mooc-provider/
Poster: Perspectives on Increasing Competency in Using Digital Practices and ...Katja Reuter, PhD
We believe that the quality and efficiency of all phases of the clinical and translational research (CTR) process can potentially be increased by using digital practices and tools in open and networked contexts. However, most CT researchers lack the training to take advantage of the benefits that the Internet and the social Web provide. Standardized training in digital practices and tools (Digital Scholarship) to conduct CTR has not been formalized through structured curriculum, learning approaches, and evaluation. Our overall goal is to develop a robust curriculum to train CTR researchers in digital scholarship. Here we present preliminary data from a qualitative study that describes the range of key stakeholders’ perspectives on the need to: (A) formalize educational efforts in digital scholarship among CTR trainees; and (B) develop an educational framework that defines core competencies, methods, and evaluation methods. Presented at Translational Science 2018 conference in Washington, DC on April 20, 2018.
This presentation was provided by Serena Rosenhan of ProQuest, during Session Four of the NISO event "Agile Product and Project Management for Information Products and Services," held on June 4, 2020.
This presentation was provided by Martha Kyrillidou of QualityMetrics LLC and served as the full slide deck throughout the course of our Fall training series "Research Methods and Tools." The program was held from October 11, 2022 - December 13, 2022.
Learners self-directing their learning in MOOCs #Ectel2019Inge de Waard
Informal learning in MOOCs is under-investigated. In this presentation we share how adult learners self-direct their learning when engaging in FutureLearn MOOCs. Five areas influence self-directed learning: individual characteristics, technical and media elements, individual & social learning, structuring learning and context. This study also identified two inhibitors or enablers of learning: intrinsic motivation and personal learning goals, where these two factors increase or decrease the dynamics in the five areas of SDL.
Similar to A hands-on approach to digital tool criticism: Tools for (self-)reflection (20)
News recommenders have the potential to help users filter the enormous amount of news that is available online, and as such may play an important role in determining what information users do and do not get to see. However, current approaches to evaluating recommender systems are often focused on measuring an increase in user clicks and short-term engagement, rather than measuring the user's and society’s longer term interest in diverse and important recommendations. In this talk we aim to bridge the gap between so-called normative notions of news diversity, as it is known in social sciences and specifically democratic theory, and quantitative metrics necessary for evaluating the recommender system. We discuss a number of democratic missions a recommender system could have, together with a set of evaluation metrics stemming from these missions, and suggest ways for practical implementations of these metrics.
The talk will be about practical considerations that our team has had to make in order to bring a recommender system into production. I’ll cover the “default” tools with which we started (Batch processing in Spark) and follow that up with more recent tools like AWS Lambda and Spark Streaming.
Narrative-Driven Recommendation for Casual Leisure NeedsMarijn Koolen
Many information needs for leisure (book, films, games, music) are highly complex and cover many different relevance aspects. This is an investigation into the nature of human-directed, natural language statements of casual leisure needs across four domains, and a discussion of their implications of conversational search and recommendation systems.
Digital History - Maritieme Carrieres bij de VOCMarijn Koolen
Digital History lecture about modelling the maritime careers of sailors at the Dutch East India Company and the challenges of gathering, selecting, modelling, normalizing and classifying historical data.
Facilitating reusable third-party annotations in the digital editionMarijn Koolen
We argue the need for support of annotations on an edition made by researchers unaffiliated to the edition project, as a contribution to the explanatory material already present on the site, for purposes of private study or for publication in conjunction with a scholarly article. We demonstrate our annotation approach, that exploits RDFa for embedding the edition-specific semantics and identifier in the edition's HTML pages. We discuss an
FRBROO- based ontology of the editorial domain, capable of describing both the objects of editing (Text and Document) and their representation in the edition. We have a fully functional and open source prototype of an annotation tool that over the coming years will be actively developed, for use in multiple disciplines.
Narrative-Driven Recommendation for Casual Leisure NeedsMarijn Koolen
Recommender systems typically generate recommendations for a user based on their profile, or for an item given its user interactions, but there are many scenarios especially in leisure domains such as books, movies, games and music, where users have specific recommendation needs, where they want to steer the recommendation process towards certain aspects they find relevant. Currently, there are few recommender or search systems that can deal with the complexity of such directed needs, nor do we know well which data types (metadata, user ratings and reviews, item content) are useful to match against different aspects of recommendation needs. There are many discussion forums where users describe their needs and their frustration with current search and recommender systems. In this talk I will summarize our work on analyzing relevance aspects for these needs and describe experiments on dealing with these.
Scholary Web Annotation - HuC Live 2018Marijn Koolen
Web annotation has a lot of potential for scholarly research but current tools have several big limitations. At the Humanities Cluster of the Royal Netherlands Academy of Arts and Sciences we are developing a scholarly web annotation tool that allows different types of fine-grained annotations on objects of any media type and combining manual and algorithmic annotations.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
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A hands-on approach to digital tool criticism: Tools for (self-)reflection
1. Marijn Koolen (KNAW Humanities Cluster)
Jasmijn van Gorp (Utrecht University)
Jacco van Ossenbruggen (Centrum Wiskunde & Informatica, VU Amsterdam)
Digital Hermeneutics in History: Theory and Practice
University of Luxembourg, 25 October 2018
A Hands-on Approach to Digital Tool Criticism
Tools for (self-)Reflection
2.
3. Setting:
● Many datasets and tools available and used in (digital) humanities research
● Methods (hand)books in humanities primarily aimed at analogue research →
not yet up to date with digital research
Questions:
● Which methodological steps do we have to take to use digital tools and data responsibly?
● To what extent do these steps differ from the steps taken in the pre-digital era?
○ How to align tool impact with user’s intentions
○ How to reach shared understanding of tools in methodology
Goal: develop and test method for performing Digital Tool Criticism
Motivation
4. Overview
- Digital Tool Criticism
- Workshop Format and Findings
- Role of Reflection
- Entanglement of Data and Tools
5. Digital Tool Criticism
Definition:
With digital tool criticism we mean the reflection on the role of digital tools in the research
methodology and the evaluation of the suitability of a given digital tool for a specific research
goal.
The aim is to understand the impact of any limitation of the tool on the specific goal, not to improve
a tool’s performance.
That is, ensuring as a scholar to be aware of the impact of a tool on research design, methods,
interpretations and outcomes.
(Koolen, van Gorp & van Ossenbruggen, 2018)
6. Digital Tools in Research Design
Model taken from Maxwell (2013)
Trevor Owens (2014): research design is iterative process, can start from goals, questions, methods, ...
7. Guiding Questions
● Starting point: (digital) source criticism
○ Method / approach in the humanities and specifically in historical research (cf. Fickers, 2012)
○ Internal source criticism: content of the text
○ External source criticism: metadata of the text (context)
■ Who created the text?
■ What kind of document is it?
■ Where was it made and distributed?
■ When was it made?
■ Why was it made?
● Digital Tool Criticism
○ What makes digital tool criticism different from digital source criticism?
○ Tool hermeneutics: what was its intended use? Does that align with my intended use? How
does it affect the digital sources/data it operates on?
8. Workshop Format
● Do digital research experiments in groups, keep track of findings
○ Participants log/write down steps and choices
○ Present and discuss findings at end of workshop
● Experiments on one or more research phases
○ E.g. exploration, gathering, analysis, synthesis
○ Limited number of digital tools (overlap)
○ Research topic/theme:
■ Broad when focusing on single research phases, one or two tools
■ Narrow when analyzing tool criticism across research phases
● Meta-discussion
○ General findings
○ Lessons learned and suggestions for next steps
9. ● DH Benelux 2017 workshop:
○ Single research phase: exploration
○ Research theme: Discourse around migration and refugees in broadcast media and politics
○ Two experiments: 1) tools to explore, 2) tools to gather resources
● DH Benelux 2018 workshop:
○ Multiple phases: exploration, gathering, analysis
○ Research theme: representation of labour immigration in NL media in 1950s till 1980s
○ Two experiments: 1) tools to explore and gather, 2) tools to do analysis
○ Create and compare Research DNA visualizations
DTC Workshops
10. Workshop Findings
Three parts:
1. General trends in research process
2. Impact of data and tools on research questions
3. Meta-discussion
11. Findings 1: General Trends in Research Process
Analyse the collaborative notes of the individual groups
Colour-coded the notes based on 5 aspects:
Research question
Method
Tool
Dataset
Reflection
15. Findings 2: Impact of Data and Tools on RQs
● First steps in this exploratory phase:
○ All groups use rapid searches
■ Establish suitability of data/tool for a certain line of inquiry
■ Many dead ends: search reveals data is limited, tool lacks functionality
■ Iteratively adjusted questions, tools and data selections
○ Reflection on tools affects research questions
● Once questions, tools and data are aligned
○ Exploration continues in a specific direction
○ Use same strategy to refine questions and hypotheses
○ In line with findings by Solberg (2012, p. 64).
○ Continuous reflection required to keep alignment!
16. Findings 3: Meta-Discussion
● Collaborative reflection
○ Explicit discussion and questioning encourages reflection
○ Prompts questions that otherwise would not have been asked
○ Note taking helps understand process and choice points
● Data literacy
○ Need to understand how data is structured
○ “Give us the raw data!”: Scholars often want direct access to underlying data
○ Tools and data need better documentation
○ Tools and data are hard to critique separately
● Workshop format
○ (Collaborative) reflection-in-action increases awareness of tool impact and choices
○ Effective to group tool users and builders
17. We have to reflect on how digital tools organize, access and analyse our materials
Late 19th and early 20th century scholarship was dominated not by big ideas, but by methodological
refinement and disciplinary consolidation.
Denigrated in the later 20th century as unworthy of serious attention by scholars, the 19th and early
20th century, by contrast, took activities like philology, lexicology, and especially bibliography very
seriously.
Serious scholarship was concerned as much with organizing knowledge as it was with
framing knowledge in an ideological construct.
(Scheinfeldt 2008)
Need to Integrate Reflection in Methods
18. Model: Reflection as Integrative Practice
Koolen, van Gorp & van Ossenbruggen, 2018. Toward a model for digital tool criticism: Reflection as integrative practice. In Digital
Scholarship in the Humanities 2018. https://academic.oup.com/dsh/advance-article/doi/10.1093/llc/fqy048/5127711
19. Research Design as Wicked Problem
● Wicked problem
○ Design theory concept, a problem that is inherently ill-defined (Ritter 1967)
○ Working towards solution changes the nature of the problem
● Humanities research is designed iteratively (Bron et al. 2016)
○ Impossible to predict where investigation takes you
○ Engagement with research materials shift goal posts
○ Affects appropriateness of design for RQ
● Uncritical use of digital tools exacerbates the problem
○ Graphical User Interfaces (GUIs) often hide relevant data transformations and manipulations
○ Requires active reflective attitude
20. ● Reflection In Action
○ Process is often unpredictable and uncertain (Schön 1983, p. 40)
○ Some actions, recognitions and judgements we carry out spontaneously, without thinking
about them (p. 54)
○ Use reflection to criticize tacit understanding grown from repetitive experiences (p. 61)
● This fits certain aspects of scholarly practice
○ E.g. searching, browsing, selecting using various information systems (digital archives and
libraries, catalogs and other databases).
○ But information systems already have pre-selection, rarely well-documented (digital source
criticism!)
Role of Reflection
21. ● How can tools include components that encourage reflection?
○ Add about pages and documentation on data pre-processing and algorithmic choices
○ Add functionality for analysing data quality
○ Visualize missing and erroneous data values, provide statistics in aggregate overviews
○ Use pop-up boxes to ask users to question what they see and do
● Methods
○ Research DNA visualizations
○ Analyze transaction log data
○ Make tool evaluation data results available to end-users, not just to developers
○ Also evaluate bias, not just error rates
Reflective Tools and Methods
22.
23.
24.
25.
26. Name:Digital Source & Tool Criticism Canvas (v0.1)
Jacco van Ossenbruggen, CWI. 10.5281/zenodo.1283308
Costs
What does it cost to make data and tools available to you
(licensing, pay wall, renting compute resources, etc)?
Are data and tools compatible? Do data and tools need to be adapted
otherwise for an adequate fit (data cleaning, software modifications)?
How much time and other resources will be involved in preparation
and running all computational steps?
What are other disadvantages of using these data sets and tools with
respect to your research question and method?
Benefits
What are advantages of using digital data & tools when compared to
using more traditional methods?
How much will other researchers benefit from your data, tools, method,
experience?
Data in
What existing input data
sets do you need?
(5W+H)
Fitness
To what extent does this
data fit your question
and method?
Tools
What tools do you need
to access, transform
and present this data?
(5W+H)
Fitness
To what extent does
each tool fit your
question and method?
Fitness
To what extent does your
generated data actually
answer your question
Data out
What data will your study
generate and how should it
be interpreted?
(5W+H)
Tool Bias
How have the tools
influenced your method &
generated data and
overall outcome?
Publish
How do you communicate
these influences to your
audience?
What is your
research
question?
What is your
research
method?
29. Data Scopes
● Importance of documenting the data manipulation process in digital history
research (Hoekstra & Koolen 2018)
○ Many in-the-moment decision are forgotten, consequences become invisible
○ Discuss activities in terms of: modelling, selecting, normalizing, linking, classifying
○ How to communicate/publish data manipulation process
● Related to both digital tool criticism and digital source criticism
○ Should explore how they complement and strengthen each other
30. Model: Reflection as Integrative Practice
Koolen, van Gorp & van Ossenbruggen, 2018. Toward a model for digital tool criticism: Reflection as integrative practice. In Digital
Scholarship in the Humanities 2018. https://academic.oup.com/dsh/advance-article/doi/10.1093/llc/fqy048/5127711
31. Eijnatten, J. van ., Pieters, T. & Verheul, J., (2013). Big Data for Global History: The Transformative Promise of Digital Humanities. BMGN - Low
Countries Historical Review. 128(4), pp.55–77. DOI: http://doi.org/10.18352/bmgn-lchr.9350
Fickers, A. (2012). Towards a New Digital Historicism? Doing History in the Age of Abundance. View journal, volume 1 (1).
http://orbilu.uni.lu/bitstream/10993/7615/1/4-4-1-PB.pdf
Hitchcock, T. (2013). Confronting the Digital - Or How Academic History Writing Lost the Plot. Cultural and Social History, Volume 10, Issue 1, pp.
9-23. https://doi.org/10.2752/147800413X13515292098070
Hoekstra, R., Koolen, M. (2018). Data Scopes for Digital History Research. Historical Methods: a Journal of Quantitative and Interdisciplinary
History, Volume 51, Issue 3.
Maxwell, J. (2013). Qualitative Research Design: An Interactive Approach, 3rd edition. SAGE publications.
Owens, T. (2014). Where to Start? On Research Questions in The Digital Humanities.
http://www.trevorowens.org/2014/08/where-to-start-on-research-questions-in-the-digital-humanities/
Putnam L. (2016). The Transnational and the Text-Searchable: Digitized Sources and the Shadows They Cast. American Historical Review, Volume
121, Number 2, pp. 377-402.
Scheinfeldt, T.(2008). Sunset for Ideology, Sunrise for Methodology? Found History.
http://foundhistory.org/2008/03/sunset-for-ideology-sunrise-for-methodology/
Solberg, J. (2012). Googling the Archive: Digital Tools and the Practice of History. Advances in the History of Rethoric, Volume 15, pp. 53-76.
Aysenur Bilgin, Laura Hollink, Jacco van Ossenbruggen, Erik Tjong Kim Sang, Kim Smeenk, Frank Harbers, Marcel Broersma (2018)
Utilizing a Transparency-driven Environment toward Trusted Automatic Genre Classification: A Case Study in Journalism History. IEEE 14th
International Conference on e-Science. (arXiv preprint arXiv:1810.00968)
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