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TTalk Node Redirection Designs
Borealis
Cullen, Michelle; Topps, David; El Hardoum, Ismail; Hosseini, Mahdi; Wirun, Corey — 2023-07-05 Redirection to new Nodes and pathways, during a TTalk session in an OLab4 scenario, opens up a host of new learning designs and scenario design patterns. This report describes how we have used this approach in various projects.
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OLab4 Designer source code
Borealis
Wirun, Corey; El Hardoum; Topps, David; Hosseini, Mahdi; Cullen, Michelle — 2023-07-05 OLab4, formerly OpenLabyrinth, is a virtual scenario publishing tool, designed to support research in health professions education. This is the Designer module, which authors can use to create their own scenarios.
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Cheating and OLab data
Borealis
Topps, David; Cullen, Michelle; Wirun, Corey — 2024-02-09 OpenLabyrinth has always had very detailed tracking of user activity built into its back end. In the early days, we wondered if we would ever use such detailed activity metrics to any great extent but it has turned out to be useful in many ways. A surprising side effect was its utility in detecting unusual behavior and cheating. We will provide some interesting examples of this, and also illustrate some methods in OLab that can be used to prevent, detect and research cheating behaviors.
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Using Directed Acyclic Graphs in OLab
Borealis
Topps, David; Wirun, Corey; Myhre, Doug; Hecker, Kent; Ellaway, Rachel — 2022-04-22 As a term, a ‘graph’ in mathematics is a shortening of ‘graphic formula’, essentially an image showing how a formula works visually rather than symbolically. The term ‘graphic’ comes from the Greek (via Latin ‘graphos’ meaning to write or draw). In English, words ending in -graphy reflect a sense of writing or otherwise representing something such that it involves representation for study. This is compared with -logy words which are to do with the study of something – biology is the study of life, biography is writing or representing one or more lives. Geology would be the study of rocks, geography is about representing or recording the earth. A graph then is a representation, an image, a recording, a visual abstraction.
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Case Factors in Decision Making - ontology hypernormalization
Borealis
Topps, David; Wirun, Corey; Ellaway, Rachel — 2022-04-22 This is part of a project looking at the factors that clinicians might take into consideration when making clinical decisions. This is a complex and multifactorial process, which is sometimes performed in a step-wise algorithmic manner, but more commonly as a less well-defined heuristic process. In evaluating each therapeutic action or step, we will need to consider various factors as to whether the step was useful or not. Ideally, these factors should all be present and affected by each step in the case but this may not always be true.
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OLabERATE: OLab Education Research Analytics Toolset Expansion - project charter
Borealis
Wirun, Corey; Cullen, Michelle; Radhamoni, Nisha; Shrive, Nigel; Wigglesworth, Tony; El Hardoum, Ismail; Hosseini, Mahdi; Topps, David — 2022-10-21 OLab (https://olab.ca) is an educational research platform that supports branching scenarios and activity metrics. Case designs can be varied, with embedded videos and natural-language support, to explore problem-solving and communication skills, rather than memorization. A recent analysis of OLab metrics showed a rich combination of learner interactivity. However, complex decision pathways are difficult to analyze and improve, both with the existing platform and with traditional approaches that have tried to assess them in clinical practice and examinations. OLab’s central design architecture is based on directed acyclical graphs (DAGs). DAG-based analytic tools are available in a number of disciplines including social sciences (structural equation modeling), engineering (hyperparameter optimization) and computer science (genetic algorithms) but they tend to assume a best-practice or optimum path. We need a more flexible toolset that allows assessment of ‘good enough’ choice pathways in a multi-step complex decision process. Previous assessment practices have treated professional decisions as single point events. This project will improve accessibility for case authors, with shareable, reusable components; redirectable narratives; and communication skills assessment in a team-based learning context. Integration of OLab with DAG-based analytic tools will extend the analytic capabilities of researchers who wish to explore and optimize complex decision pathways, and how well clinical professionals navigate these
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xAPI Rostering Profile
Borealis
Wirun, Corey; Topps, David — 2022-10-21 Rostering of workers or scheduling of learners. This was originally designed for a distributed medical education context, where learners are placed in community sites, according to their academic needs, and the program or site capacity constraints. The methodology underlying this approach is Constrained Resource Scheduling
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OLab TTalk Participant Simulator
Borealis
Wirun, Corey; Cullen, Michelle; Hosseini, Mahdi; El Hardoum, Ismail; Topps, David — 2023-07-05 Participant Simulator for TTalk sessions in OLab4. The software allows you to stress test your server and network setup to see how it will handle multiple concurrent conversations, conducted via the TTalk service. https://creativecommons.org/licenses/by-nc-sa/4.0/
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OLabERATE: Utility of Help Guides
Borealis
Hosseini, Mahdi; Cullen, Michelle; El Hardoum, Ismail; Wirun, Corey; Topps, David — 2023-07-05 Some of the concepts and functions that we are advancing in the OLabERATE project(1) are initially confusing for teachers and learners. While they are not hard to figure out, there is a lot to take in all at once and many users are overwhelmed at first. In several of the class sessions in the OLabERATE project,(1) we noticed a wide variation in how well participants were prepared and how quickly they adapted to TTalk and OLab etc. There is also a wide variation in how participants want to get help. More and more, we see that short videos are preferred, even though most of us can read faster than we can watch. Videos, with their linear delivery, may be less amenable to random access, but they remain the preferred route for many. Increasingly in our projects, we have found that providing how-to guides and user documents via a variety of modalities is helpful. https://creativecommons.org/licenses/by-nc-sa/4.0/
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OLab4 TTalk service source code
Borealis
Wirun, Corey; Topps, David; El Hardoum; Cullen, Michelle; Hosseini, Mahdi — 2023-07-05 OLab4, formerly OpenLabyrinth, is a virtual scenario publishing tool, designed to support research in health professions education. The TTalk service supports the use of a human-computer hybrid interface that provides natural language processing within an OLab scenario, along with teacher-assisted pathway guidance. https://creativecommons.org/licenses/by-nc-sa/4.0/
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OLab4 v4.6 player source code
Borealis
Wirun, Corey; Topps, David; El Hardoum; Hosseini, Mahdi; Cullen, Michelle — 2023-08-07 OLab4, formerly OpenLabyrinth, is a virtual scenario publishing tool, designed to support research in health professions education A working version of the player can be seen at https://logan.cardinalcreek.ca/player/ https://creativecommons.org/licenses/by-nc-sa/4.0/
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Published or Perished: thoughts on the publication of mediocrity
Borealis
Topps, David; Wirun, Corey — 2024-02-14 Some of these points have already been touched upon in Discoverability of published objects(2) but to summarize: • Justification for publishing such materials: it provides a footing or foundation upon which others can build. Or avoid the mistakes that we made. • Also better than sitting hidden on a hard drive (which will eventually die or become obsolete because the OS cannot be upgraded any more i.e. Perished) - see ‘Archiving the data’ below. For those projects that did not come to fruition, this is the equivalent of publishing negative results (which many editors call for but few will actually do).(3–6) We are aiming for a different audience with this kind of publication. Back when scholars would patiently wander through the stacks, you would not want to waste their time with cluttering up those stacks with such mediocre material. But things have changed: our browsing/foraging behaviors have changed.
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Experience API Faculty Profile
Borealis
Topps, David; Wirun, Corey — 2019-05-13 The focus of this Profile is on faculty member activities that are mediated electronically because this is more pertinent to the context in which xAPI data is likely to be gathered. Use Case This is for tracking the typical activities that faculty members (not faculties per se) engage in and that might be reported in their annual report, CV. Could also be used by Med Ed Research Centre Directors to provide reporting on their activities.
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QuRE and Process Mining
Borealis
Topps, David; Fisher, Bruce; Wirun, Corey; Moores, David; Wong, Annabelle; Ellaway, Rachel — 2019-10-26 With over 3 million referrals and consultations between specialists and primary care providers in Alberta each year, the Quality Referral Evolution (QuRE) has rich scope for improving the quality of communications in the requisition/reporting processes. Using a series of educational interventions such as workshops and reminder cards, the QuRE team has been widely recognized and adopted outside the province. But the consultation process is a complex and fragile set of multiple steps. This technical report describes how activity metrics derived from the electronic medical record (EMR) and captured in an intermediary Learning Record Store (LRS) can provide a powerful mechanism to interface between the clinical and educational activities in the workplace. However, while some simple metrics and reporting can be derived from the LRS directly, there is more to be gained by bringing process mining tools into play.
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BEAMER: Better Extraction of Activity Metrics from Electronic (medical) Records
Borealis
Wirun, Corey; Topps, David; Ellaway, Rachel — 2019-10-27 Design document for an open-source, open-standard web-service that supports extraction and translation of Change Tracking (CT) data from the enterprise-level database engine that supports an electronic medical record (or similar health information system), and makes it available for consumption by a secure Learning Record Store (LRS).
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DYED: Donate Your Educational Data
Borealis
Topps, David; Wirun, Corey — 2020-11-25 This is a collaborative dicussion document. You can comment directly at https://docs.google.com/document/d/1BoQTKOD-7jmb1bmltNfQvEOgUzgsaZ8uJjzWvqThi2c/edit?usp=sharing We need a secure repository to allow people to donate their data to science (instead of their body). There is a long tradition of donating your body to science, but today, with the increasing availability of virtual learning platforms, fewer and fewer medical schools now accept such donations. Generating good case materials such as virtual scenarios, with realistic imagery, lab and diagnostic data, on the other hand, is increasingly challenging because widespread uptake of such virtual scenarios has left clinical instructional designers with a widening gap between demand and the ability to respond to that demand.
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Case Related User Details (CRUD)
Borealis
Topps, David; Wirun, Corey; Cullen, Michelle — 2024-01-28 Several projects have requested that we help authors to create context-specific documents to accompany the cases that are to be loaded into their repositories. https://openlabyrinth.ca/instructor-guides-for-cases/ We have encountered this with the following projects so far: TIDE/Norlien, WAVES, DynIA, SHARC-FM and Virtu-WIL. It would be good if we could come up with a way to generate case-specific instructore guides. This would also help with things like the metadata for cases stored in OERs. Maybe this should be part of the OPENERS and PORTERS services. See OLab extensions, plugins and external services.docx (sharepoint.com) and olabrats. https://olabrats.atlassian.net/browse/REP-23
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PiHPES Outcomes Report
Borealis
Topps, David; Wirun, Corey; Cullen, Michelle — 2022-01-03 As we move towards Precision Medicine, we should also move towards Precision Education, using data science approaches to improve our processes and learner outcomes. This is the purpose of PiHPES: Precision in Health Professional Education Scholarship. This is consistent with the general call-to-arms as presented in the provincial document on Precision Health for Alberta. Central to this project is the extensive use of activity metrics across a range of educational platforms, applications and services. Activity streams are not new and are central to data science where you want to assess what your users do and how your products perform. In education, there have been previous attempts to track learner progress across applications. The most well known is SCORM, which proved to be both rigid and limited, with little more data on user performance than a course pass mark. PiHPES is focused on a more granular approach to activity metrics based on Learning Record Stores (LRS) and the xAPI protocols. Overall, a lot has been achieved in PiHPES, with many of its deliverables and milestones successfully passed. This will be summarized below. The most striking conclusion from all that happened is that the University of Calgary demonstrates a worryingly low state of organizational readiness to apply data science principles and techniques in educational programming. We have not widely publicized PiHPES or its resulting outputs because of several limiting factors. These will also be detailed below but can be summarized as lacking a nice simple example of how this approach works. While we have made a lot of progress, there is not a simple one-pager that we can point to that shows the advantages to a busy educator. We have successfully implemented most of the applications, tools and integrations that we had planned. We are able to store a range of activity metrics in several Learning Record Stores. We have been able to link between these LRSs and conduct useful analyses that were previously unavailable from a single application. This approach, using data science principles, has huge potential for improving educational processes and outcomes. We are keen to explore such analysis further with interested user groups. This will enable us to flesh out the usability and utility aspects of PiHPES. Those who are interested in looking at combining clinical data with educational data will want to look at this following section, where we have developed some unique approaches.
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Team-Based Learning and OLab
Borealis
Topps, David; Wirun, Corey; Hosseini, Mahdi; El Hardhoum, Ismail; Cullen, Michelle — 2023-03-20 1. All team-based marking schemes look at the whole team 2. None assess team member contributions 3. Global rating encourages the Cheerleading Coasters 4. Known problem with all forms of groupwork OLab contains a number of functions to address all of these problems.
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OER integration for PiHPES
Borealis
Topps, David; Wirun, Corey; Ellaway, Rachel — 2019-05-13 During our explorations of the factors surrounding the integration of education systems in PiHPES (https://dataverse.scholarsportal.info/dataverse/pihpes), it became clear that there is a need to consider how to integrate an Open Educational Repository (OER) into our efforts. The rationale for this is more clearly delineated in Getting Value from OERs. (1) This document is a Technical Report on the specifications, data formats, protocols and standards that need to be considered in such an effort.

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(source : University of Calgary Prism) AND (auteur : Wirun, Corey)

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