A Metacognitive Tool to Support Reading Comprehension of Historical Narratives

Eric Poitras

(2010) pp. 1–107

Learners frequently have difficulty understanding incoherent historical narrative texts; therefore, this thesis project introduces a bottom-up approach to design metacognitive tools to assist learners reading comprehension. Metacognitive tools are...

Deriving Empirically-Based Design Guidelines for Advanced Learning Technologies that Foster Disciplinary Comprehension

Eric Poitras; Gregory Trevors

Canadian Journal of Learning and Technology / La revue canadienne de l’apprentissage et de la technologie Vol. 38, No. 1 (Feb 22, 2012)

Planning, conducting, and reporting leading-edge research requires professionals who are capable of highly skilled reading. This study reports the development of an empirically informed computer-based learning environment designed to foster the...

Language: English Translations: English, français, langue française/French

Using an Intelligent Web Browser for Teacher Professional Development: Preliminary Findings from Simulated Learners

Eric Poitras; Negar Fazeli

Society for Information Technology & Teacher Education International Conference 2016 (Mar 21, 2016) pp. 3037–3041

Open-ended learning environments that leverage online resources hold a wealth of information for pre-service teachers to acquire the knowledge that is necessary to successfully implement technologies in the classroom. Effective learning in such...

Topics: Computational Thinking, Technological, Pedagogical Content Knowledge (TPACK), New Possibilties with Information Technologies

Simulating Preservice Teachers? Information-Seeking Behaviors While Learning with an Intelligent Web Browser

Eric Poitras; Negar Fazeli

Society for Information Technology & Teacher Education International Conference 2017 (Mar 05, 2017) pp. 2437–2442

Learner models enable open-ended learning environments (OELEs) to adapt instruction to the specific needs of different learners. Simulation-based methods allow researchers to reproduce and model learner behaviors to evaluate and improve the adaptive ...

Topics: Research & Evaluation, Technological, Pedagogical Content Knowledge (TPACK), Teaching and Learning with Emerging Technologies

Deriving Empirically-Based Design Guidelines for Advanced Learning Technologies that Foster Disciplinary Comprehension / Définir des lignes directrices fondées sur des données empiriques pour les technologies d’apprentissage avancé qui favorisent la compr

Eric Poitras; Gregory Trevors; Gregory Trevors

Canadian Journal of Learning and Technology / La revue canadienne de l’apprentissage et de la technologie Vol. 38, No. 1 (Feb 29, 2012)

Planning, conducting, and reporting leading-edge research requires professionals who are capable of highly skilled reading. This study reports the development of an empirically informed computer-based learning environment designed to foster the...

Exploring Case Specificity in Medical Students’ Clinical Reasoning

Tenzin Doleck; Eric Poitras; Susanne Lajoie

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2017 (Oct 17, 2017) pp. 572–577

Advances in educational technology have provided various promising solutions for yielding useful insights about learning from learner-system interaction data Previous research has suggested the existence of case-specificity in clinical reasoning ...

Topics: research

Developing an Agent-Based Adaptive System for Scaffolding Self-Regulated Inquiry Learning in History Education

Eric G. Poitras; Susanne P. Lajoie

Educational Technology Research and Development Vol. 62, No. 3 (June 2014) pp. 335–366

This article presents a methodology for modelling the development of self-regulated learning skills in the context of computer-based learning environments using a combination of tracing techniques. The user-modelling techniques combine statistical...

Assessing the Utility of Deep Learning: Using Learner-System Interaction Data from BioWorld

Tenzin Doleck; Eric Poitras; Susanne Lajoie

EdMedia + Innovate Learning 2019 (Jun 24, 2019) pp. 734–738

In recent years, deep learning (LeCun, Bengio, & Hinton, 2015) has drawn interest in many fields. As optimism for deep learning grows, a better understanding of the efficacy of deep learning is imperative, especially in analyzing and making sense of ...

Topics: Performance and outcome assessment, Simulations for learning, Data Analytics

Towards Detection of Learner Misconceptions in a Medical Learning Environment: A Subgroup Discovery Approach

Eric G. Poitras; Tenzin Doleck; Susanne P. Lajoie

Educational Technology Research and Development Vol. 66, No. 1 (2018) pp. 129–145

Ill-structured problems, by definition, have multiple paths to a solution and are multifaceted making automated assessment and feedback a difficult challenge. Diagnostic reasoning about medical cases meet the criteria of ill-structured problem...

A Tale of Three Cases: Examining Accuracy, Efficiency, and Process Differences in Diagnosing Virtual Patient Cases

Tenzin Doleck; Amanda Jarrell; Eric Poitras; Maher Chaouachi; Susanne Lajoie

Australasian Journal of Educational Technology Vol. 32, No. 5 (Dec 01, 2016)

Clinical reasoning is a central skill in diagnosing cases. However, diagnosing a clinical case poses several challenges that are inherent to solving multifaceted ill-structured problems. In particular, when solving such problems, the complexity...

Advancing teacher technology education using open-ended learning environments as research and training platforms

Eric Poitras; Tenzin Doleck; Lingyun Huang; Shan Li; Susanne Lajoie

Australasian Journal of Educational Technology Vol. 33, No. 3 (Jul 24, 2017)

A primary concern of teacher technology education is for pre-service teachers to develop a sophisticated mental model of the affordances of technology that facilitates both teaching and learning with technology. One of the main obstacles to...

Diagnosing Virtual Patient Cases: Gender Differences in Novice Physicians in a Computer Based Learning Environment

Tenzin Doleck; Amanda Jarrell; Eric Poitras; Susanne Lajoie

EdMedia: World Conference on Educational Media and Technology 2015 (Jun 22, 2015) pp. 494–498

There has been considerable interest to better understand the nature, possible source, and affects of gender differences in education. Examining performance differences across genders can have implications from an instructional design perspective;...

Topics: Gender, Usability/User Studies

Detecting Dummy Learner Submitted Annotations in an Online Case Learning Environment

Tenzin Doleck; Eric Poitras; Laura Naismith; Susanne Lajoie

EdMedia + Innovate Learning 2016 (Jun 28, 2016) pp. 498–503

One of the key approaches in designing adaptive learning systems is the use of algorithms that can process and discover interesting, interpretable, and meaningful knowledge from the data tracked and logged by learning systems. Text classification...

Topics: Design of Distance Learning Systems, interactive learning environments, Methodologies for System Design

Subgroup Discovery with User Interaction Data: An Empirically Guided Approach to Improving Intelligent Tutoring Systems

Eric G. Poitras; Susanne P. Lajoie; Tenzin Doleck; Amanda Jarrell

Journal of Educational Technology & Society Vol. 19, No. 2 (2016) pp. 204–214

Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various...

The Development of Technological Pedagogical Content Knowledge (TPACK): Part 1

Mamta Shah; Michael Philips; Aaron Kessler; Joshua Rosenberg; Eric Poitras; Negar Fazeli; Amanda Barany; Aroutis Foster

Society for Information Technology & Teacher Education International Conference 2017 (Mar 05, 2017) pp. 2452–2456

This session includes five empirical presentations that feature investigations undertaken to argue for and demonstrate practical applications of enhancing pre-service and in-service teachers? knowledge of technology integration. The development of...

Topics: Games & Simulations, Technology Leadership, Technological, Pedagogical Content Knowledge (TPACK)

Comparing Virtual and Location-Based Augmented Reality Mobile Learning: Emotions and Learning Outcomes

Jason M. Harley; Eric G. Poitras; Amanda Jarrell; Melissa C. Duffy; Susanne P. Lajoie

Educational Technology Research and Development Vol. 64, No. 3 (2016) pp. 359–388

Research on the effectiveness of augmented reality (AR) on learning exists, but there is a paucity of empirical work that explores the role that positive emotions play in supporting learning in such settings. To address this gap, this study compared ...

Using Learning Analytics to Identify Medical Student Misconceptions in an Online Virtual Patient Environment

Eric G. Poitras; Laura M. Naismith; Tenzin Doleck; Susanne P. Lajoie

Journal of Asynchronous Learning Networks Vol. 20, No. 2 (2016) pp. 183–194

This study aimed to identify misconceptions in medical student knowledge by mining user interactions in the MedU online learning environment. Data from 13000 attempts at a single virtual patient case were extracted from the MedU MySQL database. A...

Using Online Digital Tools and Video to Support International Problem-Based Learning

Susanne P. Lajoie; Cindy Hmelo-Silver; Jeffrey Wiseman; Lap Ki Chan; Jingyan Lu; Chesta Khurana; Ilian Cruz-Panesso; Eric Poitras; Maedeh Kazemitabar

Interdisciplinary Journal of Problem-based Learning Vol. 8, No. 2 (October 2014) pp. 60–75

The goal of this study is to examine how to facilitate cross-cultural groups in problem-based learning (PBL) using online digital tools and videos. The PBL consisted of two video-based cases used to trigger student-learning issues about giving bad...