Tenzin Doleck's research while affiliated with Simon Fraser University and other places

Publications (77)

Article
Full-text available
The nature of teaching and learning has evolved over the years, especially as technology has evolved. Innovative application of educational analytics has gained momentum. Indeed, predictive analytics have become increasingly salient in education. Considering the prevalence of learner-system interaction data and the potential value of such data, it...
Article
Coordination is at the heart of effective teamwork and contributes to shared mental models and mutual trust of team members (Salas, Sims, & Burke, 2005). However, successful coordination does not always occur. This study examines the prerequisites for effective coordination and identifies the role of socially shared emotion regulation (SSER; Gross,...
Article
Full-text available
Open-source software movement presents a viable alternative to commercial operating systems. Linux-based operating systems are freely available and a competitive option for computer users who want full control of their computer software. Thus, it is relevant to inquire on how the open-source movement might influence user technology switching intent...
Article
Full-text available
Teachers' mathematical knowledge has important consequences for the quality of the learning environment they create for their students to learn mathematics. Yet relatively little is known about how teachers reason proportionally, despite the fact that proportional reasoning is foundational for several mathematics concepts and that ratios and propor...
Article
We are now able to collect enormous amounts of information at the learner level. Mining educational data to provide data-driven analytics has spurred great interest among researchers and policymakers that continues to grow. This growing research area is called educational data mining (EDM). Yet the growing interest in the topic has also resulted in...
Article
In today’s evolving cybersecurity landscape, distributed denial-of-service (DDoS) attacks have become one of the most prolific and costly threats. Their capability to incapacitate network services while causing millions of dollars in damages has made effective DDoS detection and prevention imperative for businesses and government entities alike. Pr...
Article
Full-text available
Teaching computational thinking (CT) has become a priority for educators and policymakers tasked with educating and training students for future jobs which are predicted to be increasingly automated. Recent research on effective instructional interventions for developing computational thinking skills, including algo-rithmic and critical thinking, p...
Article
Full-text available
The Domain Name System (DNS) is among the most ubiquitous and important protocols for network communication; however, security concerns regarding DNS have been on the rise and demand for encrypted traffic has followed suit. Using a publicly available dataset, this work compares 10 different machine learning classifiers using stratified 10-fold cros...
Article
Full-text available
Background With the new pandemic reality that has beset us, teaching and learning activities have been thrust online. While much research has explored student perceptions of online and distance learning, none has had a social laboratory to study the effects of an enforced transition on student perceptions of online learning. Purpose We surveyed st...
Article
To examine the similarities and differences between two closely related yet distinct fields – Educational Data Mining (EDM) and Learning Analytics (LA) – this study conducted a literature review of the empirical studies published in both fields. We synthesized 492 LA and 194 EDM articles published during 2015–2019. We compared the similarities and...
Article
Full-text available
Prior work on teachers’ mathematical knowledge has contributed to our understanding of the important role of teachers’ knowledge in teaching and learning. However, one aspect of teachers’ mathematical knowledge has received little attention: strategic competence for word problems. Adapting from one of the most comprehensive characterizations of mat...
Article
This study applies a time-driven approach to model self-regulated learning (SRL) on the basis of elapsed time metrics in the context of open-ended learning environments (OELEs), specifically, network-based tutors. In doing so, we examine how students allocated attentional resources to distinct phases of SRL as a measure of depth of information proc...
Article
Full-text available
The ability to detect and regulate emotions is an important aspect of emotional intelligence that can benefit individuals in their personal well-being and social interactions (Mayer, Caruso, Salovey, 2016). This study examined emotion regulation (ER) in medical students as they practiced learning how best to communicate undesired news to patients i...
Article
Educational data mining and learning analytics, although experiencing an upsurge in exploration and use, continue to elude precise definition; the two terms are often interchangeably used. This could be owing to the fact that the two fields exhibit common thematic elements. One avenue to provide clarity, uniformity, and consistency around the two f...
Article
Full-text available
Examining teachers’ knowledge of fraction word problems is important in light of research demonstrating difficulties in both teaching and learning fractions and word problems involving fractions. This study examined fourth- and fifth-grade teachers' (N=350) written solutions to three fraction multistep word problems to unearth the salient factors c...
Article
With the advent of the COVID-19 pandemic, teachers and students have seen their activities suddenly thrust online. With little guidance or experience, they have had to learn new tools and often have struggled with access and material support, but also disease and economic hardships. Given that teachers’ approaches to teaching are influenced by such...
Article
This study evaluates the validity of an algorithm for measuring the efficiency of social learning networks in discussion forums accompanying MOOCs of conventional format, which consist of video lectures and problem assignments. The algorithm models social learning networks as a function of users’ knowledge seeking and knowledge disseminating tenden...
Conference Paper
This paper presents a Virtual Learning Environment (VLE) that simulates the collaboration between a construction robot and a construction worker in order to support training in worker-robot teamwork on construction sites. The VLE presented in the paper utilizes a semi-autonomous remote-controlled demolition robot named Brokk. This paper describes t...
Article
With this special section, we hope to draw attention to educational technology designed for expanding human capability, that is, educational technology for accelerating and enabling our range of knowledge and agency. The four contributions to our special issue include the development of a location‐based history teaching app, a STEM inquiry platform...
Article
Full-text available
This study examines the relationship between individuals’ beliefs about AI (Artificial Intelligence) and levels of anxiety with respect to their technology readiness level. In this cross-sectional study, we surveyed 65 students at a southwestern US college. Using partial least squares analysis, we found that technology readiness contributors were s...
Article
Full-text available
This paper presents a social learning network analysis of Twitter during the 2020 global shutdown due to the COVID-19 pandemic. Research concerning online learning environments is focused on the reproduction of conventional teaching arrangements, whereas social media technologies afford new channels for the dissemination of information and sharing...
Article
To analyze the current research status and trends of the artificial intelligence in education field, we applied bibliometric methods to examine the articles published in one of the representative journals of the field, International Journal of Artificial Intelligence in Education, from 2015 to 2019. We analyzed 135 articles retrieved from the Web o...
Article
Full-text available
Previous research has produced contrasting findings regarding the influence of social networking on academic performance. Many have found negative relationships but some have also demonstrated a positive effect for social networking on academic performance. Still others report no links between social networking and academic performance. Researchers...
Article
Full-text available
Large swaths of data are readily available in various fields, and education is no exception. In tandem, the impetus to derive meaningful insights from data gains urgency. Recent advances in deep learning, particularly in the area of voice and image recognition and so-called complete knowledge games like chess, go, and StarCraft, have resulted in a...
Article
Predicting student performance in Massive Open Online Courses (MOOCs) is important to aid in retention efforts. Researchers have demonstrated that video watching features can be used to accurately predict student test performance on video quizzes employing neural networks to predict video test grades from viewing behavior including video searching...
Article
Full-text available
Massive open online courses (MOOCs) hold the promise of democratizing the learning process. However, providing effective feedback has proven hard to offer at scale since most methods require a teacher or tutor. Leveraging big data in MOOCs offers a mechanism to develop predictive models that can inform computer-based pedagogical tutors. We review r...
Article
Full-text available
Recent breakthroughs in deep learning algorithms have enabled researchers and practitioners to make significant progress in various hard computer science problems and applications from computer vision and perception, natural language processing and interpretation to complex reasoning tasks such as playing board games (e.g., Go, Chess, etc.) and eve...
Article
Full-text available
The effects of social networking sites (SNS) use are especially significant for students, as they tend to be the most frequent and heavy users of such platforms. In this stream of work, prior research has documented the links between SNS use and academic performance; however, surprisingly, empirical evidence is inconclusive. Whereas previous resear...
Article
The purpose of this paper is to explore the implications of the situative perspective in understanding technology acceptance. Briefly, this is the position that holds technology acceptance is influenced by the context of use, which determines the situations and activities in which the technology is employed. Specifically, we review the literature s...
Article
Full-text available
This paper studies learners’ emotion awareness in university level academic contexts as a first step to help learners regulate their emotions. Existing emotion awareness tools offer little information on learners’ emotions and their antecedents. This study created an emotion-reporting grid for university students based on the emotions they experien...
Article
Full-text available
Social networking sites (SNS) arguably represent one of the most consequential technological developments in recent history. As SNS use has burgeoned in recent years, increasing academic research has acknowledged the importance of SNS in students’ lives. The emerging field of SNS scholarship investigates an important issue in the academic domain, n...
Article
The question of what drives learners to adopt and use certain technologies over others, generally referred to as technology acceptance in the literature, is of interest to educational technology researchers, to policymakers, and developers in educational institutions. Technology acceptance models can inform adoption and implementation decisions. De...
Article
Different goal pursuits influence the valence of social networking sites (SNS) use, with some uses being more adaptive than others (e.g., aimless scrolling vs. communicating with friends). We use a model of happiness-increasing strategies on happiness and consider the mediating effect of Instrumental Goal Pursuit on the relationship of Envy to Happ...
Article
Full-text available
Social network analysis can provide insight into the educational research community as it manifests and evolves online. This study presents a social network analysis of Twitter use during the American Educational Research Association 2017 Annual Conference. The overall social network is sparse with low density, with a few very active nodes and many...
Article
Full-text available
It is widely recognized and accepted that behavioral intention is the key direct determinant of technology use and the majority of research continues to promote this practice. Yet the influence of behavioral intention (i.e., an individual’s conscious plan to use a technology) has been called into question more recently, as behavioral intention does...
Article
Full-text available
Research has suggested that learning approaches such as blended learning can enhance both the quality of instruction and student learning outcomes in STEM (Science, Technology, Engineering, & Mathematics) education. However, little is known about how such instructional approaches affect learning outcomes in the context of Collège d’enseignement gén...
Article
Full-text available
Technology acceptance models are primarily focused on the cognitive dimension of user beliefs. However, researchers have identified a range of situational and contextual factors that influence user attitudes and behavioral intention towards a given technology. We advance a situated model of e-learning acceptance among college students combining fac...
Article
Full-text available
Recent studies in educational psychology highlight the role of motivational variables such as trait-like perseverance. Studies have linked such variables (e.g., grit and mindset) to academic performance. However, research has reported inconsistent findings in explaining academic achievement differences. Drawing from a sample of pre-university stude...
Article
Background Technology acceptance research seeks to account for user adoption behaviors, to predict behavioral intentions and use of technologies. Methods This mixed-methods study tested a model of technology acceptance in the context of simulation-based learning, and reports on student perceptions of the learning environment in three cases from a...
Article
e-Learning acceptance has received considerable attention in the educational technology literature. In recent years, many frameworks have been proposed, modified, and applied to better understand the factors underlying students' acceptance of e-learning. Despite the important progress made with the acceptance literature, extant empirical examinatio...
Article
Full-text available
Teaching programming concepts to enhance students’ problem solving and computational thinking skills is a challenging task, especially when students enter college with little to no preparation, or they lack the interest or capacity for programming. Online platforms that serve as automated practice and assessment systems have been offered as potenti...
Article
We are in the midst of an international movement that has emphasized the importance of and promoted science, technology, engineering, and mathematics (STEM) education and opportunities. Emergent concerns in contemporary research on STEM education include the relationship of prior achievement in secondary education to performance in college-level or...
Article
This study investigates the impact of blended learning—which combines face-to-face classroom instruction with online-mediated instruction—in the context of Collège d’enseignement général et professionnel (CEGEP) pre-university science students. Although blended learning is a relatively recent addition to the college science classroom, studies have...
Chapter
Teachers are required to leverage the affordances of digital technologies to facilitate student understanding of a specific domain of knowledge and to improve their teaching practice. To do so, we assume that student teachers engage in deep learning processes. However, there is a pressing need to support student teachers in regulating their own lea...
Article
Full-text available
The purpose of this research is to investigate pre-university science Collège d’enseignement général et professionnel (CEGEP) students’ behavioral intentions towards using online learning technologies. Heretofore, CEGEP students’ use of technology has received scant attention, yet online learning technologies are found to play an increasingly impor...
Article
Full-text available
The ubiquitous use of social networking sites by students and the potential impacts of such use on academic performance are of both theoretical and practical importance. Hence, this paper addresses the question: how does the use of social networking sites influence academic performance? The present review synthesizes the empirical findings of the e...
Article
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 solving since there are multiple solution paths. The goal of this study was to develop an adaptive feedbac...
Article
The present article considers the association between formative and summative assessments, or assessment for learning and assessment of learning. Using data from 14 physics courses in a pre-university science program from winter 2013 to winter 2017 (N = 470), we sought to understand whether outcomes of formative assessment were related to the outco...
Article
The proliferation of social networking sites (SNS) use by students has been accompanied by both concerns and excitement regarding the consequences of SNS use. Research on SNS use has become increasingly popular in the educational literature. There are a variety of ways that SNS use can affect students, and indeed the work in this stream of research...
Article
Full-text available
Investigations in technology acceptance in education has largely overlooked certain unique populations like students from the Collège d’enseignement général et professionnel (CEGEP) system. In studies examining CEGEP students’ use of technology, the Technology Acceptance Model (TAM) perspective has not been taken into account, nor have modalities o...
Article
Full-text available
As the use of technology in education advances and broadens, empirical research around its use assumes increased importance. Yet literature investigating technology acceptance in certain populations remains scarce. We recently argued that technology acceptance investigations should also consider the modality of the antecedent belief, to distinguish...
Article
Full-text available
The continued call for twenty-first century skills renders computational thinking a topical subject of study, as it is increasingly recognized as a fundamental competency for the contemporary world. Yet its relationship to academic performance is poorly understood. In this paper, we explore the association between computational thinking and academi...
Article
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 developing the requisite technological pedagogical content knowledge is the inherent challenge faced by teach...
Article
Full-text available
Learning to monitor and regulate one’s learning in an academic setting is a task that all students must engage in. Learning in “group” situations requires both self- and co-regulation. This research examines a case study of a small group of medical student interactions during an on-line problem based learning activity (PBL) where students learn to...
Article
This cross-sectional study explored the factors affecting Snapchat use, specifically the role of passion and concern for privacy in the acceptance of Snapchat. Partial least squares path-analysis was conducted using a path model based an extended Technology Acceptance Model (Davis, 1989) to gauge the contribution of Passion and Concern for Privacy...
Article
Considering the increasingly ubiquitous and frequent use of Facebook among college students, this study sought to explicate and unravel the salient determinants of Facebook use. Specifically, the main goal was to ascertain the factors influencing Collège d'enseignement général et professionnel (CEGEP) students’ Facebook use, for which a structural...
Article
Although the last decade has witnessed social networking sites of varied flavors, Facebook's user growth continues to balloon, and relatedly, Facebook remains popular among the college populace. While there has been a growing body of work on ascertaining antecedents of Facebook use among college students, Collège d'enseignement général et professio...
Article
Full-text available
p>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 stems from the existence of multiple paths to arriving at the correct solution (Anonymous, 2003). Moreo...
Article
Full-text available
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 subgroup discovery method was applied to identify patterns in learner-generated annotations and respons...
Article
Full-text available
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 dimensions of learning in computer based learning environments (CBLE). Researchers and designers are act...
Chapter
A fundamental mechanism underlying intelligent tutoring systems is that learner interactions are captured and analyzed in the context of the learning environment to determine and deliver the most suitable form of instruction. These adaptive capabilities target observable entities that reveal latent processes underpinning learning and performance. W...
Article
Full-text available
Medical diagnostic reasoning is ill-defined and complex, requiring novice physicians to monitor and control their problem-solving efforts. Self-regulation is critical for effective medical problem-solving, helping individuals progress towards a correct diagnosis through a series of actions that informs subsequent ones. Bio World is a computer-based...
Article
Full-text available
A growing body of empirical evidence suggests that the adaptive capabilities of computer-based learning environments can be improved through the use of educational data mining techniques. Log-file trace data provides a wealth of information about learner behaviors that can be captured, monitored, and mined for the purposes of discovering new knowle...
Conference Paper
Full-text available
Technology Rich Learning Environments (TREs) are increasingly used to support scholastic activities. BioWorld is an example of a TRE designed to support the metacognitive activities of learners tasked with solving virtual patient cases. The present paper aims to examine the performance differences of novice physicians in diagnosing cases in BioWorl...
Conference Paper
Full-text available
Although cognitive errors (i.e., premature closure, faulty data gathering, and faulty knowledge) are the main reasons for making diagnostic mistakes, the mechanisms by which they occur are difficult to isolate in clinical settings. Computer-based learning environments (CBLE) offer the opportunity to train medical students to avoid cognitive errors...
Conference Paper
Full-text available
In BioWorld, a medical intelligent tutoring system, novice physicians are tasked with diagnosing virtual patient cases. Although we are often interested in considering whether learners diagnosed the case correctly or not, we cannot discount the actions that learners take to arrive at a final diagnosis. Thus, the consideration of the sequence of act...
Conference Paper
Full-text available
A constant topic in medical education is clinical reasoning: how do learners solve cases? Learner interactions with Intelligent Tutoring Systems yield fine-grained data that are useful in generating meaningful information and illuminating understanding about learner behaviors and outcomes. We examine and analyze the log files generated by BioWorld,...