THE ROLE OF SIMULATION IN SUPPORTING LONGER-TERM LEARNING AND MENTORING WITH TECHNOLOGY

Mentoring is an important part of professional development and longer-term learning. The nature of longer-term mentoring contexts means that designing, developing, and testing adaptive learning sys-tems for use in this kind of context would be very costly as it would require substantial amounts of fi-nancial, human, and time resources. Simulation is a cheaper and quicker approach for evaluating the impact of various design and development decisions. Within the Artificial Intelligence in Education (AIED) research community, however, surprisingly little attention has been paid to how to design, de-velop, and use simulations in longer-term learning contexts. The central challenge is that adaptive learning system designers and educational practitioners have limited guidance on what steps to consider when designing simulations for supporting longer-term mentoring system design and development deci-sions. My research work takes as a starting point VanLehn et al.’s [1] introduction to applications of simulated students and Erickson et al.’s [2] suggested approach to creating simulated learning envi-ronments. My dissertation presents four research directions using a real-world longer-term mentoring context, a doctoral program, for illustrative purposes. The first direction outlines a framework for guid-ing system designers as to what factors to consider when building pedagogical simulations, fundamen-tally to answer the question: how can a system designer capture a representation of a target learning context in a pedagogical simulation model? To illustrate the feasibility of this framework, this disserta-tion describes how to build, the SimDoc model, a pedagogical model of a longer-term mentoring learn-ing environment – a doctoral program. The second direction builds on the first, and considers the issue of model fidelity, essentially to answer the question: how can a system designer determine a simulation model’s fidelity to the desired granularity level? This dissertation shows how data from a target learning environment, the research literature, and common sense are combined to achieve SimDoc’s medium fidelity model. The third research direction explores calibration and validation issues to answer the question: how many simulation runs does it take for a practitioner to have confidence in the simulation model’s output? This dissertation describes the steps taken to calibrate and validate the SimDoc model, so its output statistically matches data from the target doctoral program, the one at the university of Saskatchewan. The fourth direction is to demonstrate the applicability of the resulting pedagogical model. This dissertation presents two experiments using SimDoc to illustrate how to explore pedagogi-cal questions concerning personalization strategies and to determine the effectiveness of different men-toring strategies in a target learning context. Overall, this dissertation shows that simulation is an important tool in the AIED system design-ers’ toolkit as AIED moves towards designing, building, and evaluating AIED systems meant to support learners in longer-term learning and mentoring contexts. Simulation allows a system designer to exper-iment with various design and implementation decisions in a cost-effective and timely manner before committing to these decisions in the real world

Using metadata to implement eforms and their associated databases

Web forms (eForms) and databases are at present widely used for data handling in most web applications. While eForms are used for data gathering and display, databases are used for data storage. To connect and interface an eForm to a database, an eForm processor is used. The eForm processor supports data saving, retrieval, update, and delete. In most web applications, eForms, eForm processors, and databases are designed and implemented separately. This leads to two main challenges: One, complexity in the manipulation of eForms and their associated database; and two, difficulty in the reproduction and reuse of existing eForms. To address the above-identified challenges, this thesis proposes the use of metadata in the creation and implementation of both eForms and their associated databases. Our approach comprises a two-part solution: One, modeling domain’s metadata and two, creating a tool, called Delk eForm Creator. To model domain metadata, Resource Description Framework Schema (RDFS) was used. However, to analyse the tool’s requirement, Putting Usability First (PUF) approach was used. In order to demonstrate the applicability of our solution approach, Delk eForm Creator was used to create a set of Metadata and three specific eForms based on a generic eForm. The created eForms were rendered in different web browsers and used to enter data into the associated databases. It was observed that Delk eForm Creator successfully generated a Generic eForm based on the Domain Metadata. Moreover, three different Specific eForms were successfully generated based on one Generic eForm, thereby leading to a reusable Generic eForm. We conclude that the metadata-based approach of implementing eForms, as proposed in this thesis, is a viable technique to creating eForms and their associated databases. The approach enables users to easily create, maintain, and reuse eForms and databases