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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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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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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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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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A Faceted Approach to Language in OLab scenarios
Borealis
Topps, David; Wirun, Corey; Hosseini, Mahdi; Cullen, Michelle — 2023-02-25 How is the approach we are taking with conversational agents in OLab different from ChatGPT? Over the past decade, we have been exploring a variety of different approaches for incorporating natural language understanding into OLab.(1–3) Indeed, there is a long history in virtual patients of trying to introduce natural language. Our stance is that, while this is apparently engaging (and cute) at first sight, there are generally only a few areas in any given scenario where constructed responses are important. (https://olab.ca/constructed-responses-in-olab/ ) Our work with TTalk since 2013 has shown just what can be done with a simple chat-based interface, linked to the powerful virtual scenario engine in OLab. This has been shown to be cost-effective, scalable, extensible and with high learning impacts. But it does depend on a human element to a degree, which is both a strength and a limitation. More recently in our DFlow-related work, we have been incorporating more intelligent conversational agents in a manner that is limited in both scope and risk. And given the most recent developments with Microsoft’s AI Bing and ChatGPT, we are glad we have been cautious.(4) It would have been disastrous to unleash an unfettered ChatGPT in certain high risk scenarios. Part of what has made OLab and TTalk so effective in the past ten years is our success in creating scenarios that present a safe space, or more accurately a brave space (somewhere you can be brave enough to try new things), that shields learners from toxic risks and outcomes.

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(Author: Hosseini, Mahdi)

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