Tenzin Doleck
Biographic Data
| ID | 5400167 |
|---|---|
| NAME | Tenzin Doleck |
| GIVEN NAMES | Tenzin |
| FAMILY NAME | Doleck |
| SIGNATURE | DOLECK T |
| AFFILIATIONS | Simon Fraser University |
| ORCID | 0000-0002-1279-689X |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Power of nonverbal behavior in online business negotiations
Digital teamwork has become prevalent and is ever since becoming part of the human work- and life-style, globally. But in comparison with face-to-face setting, virtual teams face multifold challenges. To date, scarce empirical research has examined whether team-breaking challenges are associated with limited access to peer nonverbal signals. This study examines whether access to body signals is associated with effective teamwork, and whether limi…
Examining the key drivers of student acceptance of online labs
As an important tool for STEM education, online labs have gained significant research attention. However, our understanding of online labs is limited by the inattention to the factors that contribute to the acceptance of online labs. This study adopts the UTAUT model to investigate the salient determinants of use of online labs. We test the proposed research model with data from N = 194 students. We find that performance expectancy, effort expect…
Transition to online teaching during the Covid-19 pandemic
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 events, we report on a survey design cross-sectional study of Nepalese teachers’ experience of the …
Time-driven modeling of student self-regulated learning in network-based tutors
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 processing. Student teachers (N=68) were assigned to two different versions of nBrowser: a static versio…
Educational Data Mining versus Learning Analytics
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 differences in research across the two fields by examining data analysis tools, common keywords, the…
Sloan
Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks (SLOAN) to a data set consisting of Coursera courses from a range of disciplines. We examined the relati…
Predicting completion of massive open online course (Mooc) assignments from video viewing behavior
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 (ff, rw, pause), replays, stop, and start. Deep learning neural networks are susceptible to overfitt…
A process model of team emotion regulation
Evaluating the efficiency of social learning networks
Linking teachers’ solution strategies to their performance on fraction word problems
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 contributive to performance on word problems. We found teachers’ strategies explain teachers' succe…
Constructivist educational technology
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, using Knowledge Forum for teaching self‐reflective practice to pre‐service teachers using as well …
Advancing teacher technology education using open-ended learning environments as research and training platforms
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 teachers in monitoring and controlling certain aspects of their own learning while navigating the web and…
A Tale of Three Cases
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). Moreover, the approach one employs in diagnosing a clinical case is in some measure dependent upon the comp…
Linking teachers’ solution strategies to their performance on fraction word problems
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 contributive to performance on word problems. We found teachers’ strategies explain teachers' succe…
A Tale of Three Cases
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). Moreover, the approach one employs in diagnosing a clinical case is in some measure dependent upon the comp…
Advancing teacher technology education using open-ended learning environments as research and training platforms
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 teachers in monitoring and controlling certain aspects of their own learning while navigating the web and…
Constructivist educational technology
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, using Knowledge Forum for teaching self‐reflective practice to pre‐service teachers using as well …
Evaluating the efficiency of social learning networks
Linking teachers’ solution strategies to their performance on fraction word problems
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 contributive to performance on word problems. We found teachers’ strategies explain teachers' succe…
Sloan
Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks (SLOAN) to a data set consisting of Coursera courses from a range of disciplines. We examined the relati…
Predicting completion of massive open online course (Mooc) assignments from video viewing behavior
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 (ff, rw, pause), replays, stop, and start. Deep learning neural networks are susceptible to overfitt…
A process model of team emotion regulation
Transition to online teaching during the Covid-19 pandemic
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 events, we report on a survey design cross-sectional study of Nepalese teachers’ experience of the …
Time-driven modeling of student self-regulated learning in network-based tutors
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 processing. Student teachers (N=68) were assigned to two different versions of nBrowser: a static versio…
Educational Data Mining versus Learning Analytics
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 differences in research across the two fields by examining data analysis tools, common keywords, the…
Power of nonverbal behavior in online business negotiations
Digital teamwork has become prevalent and is ever since becoming part of the human work- and life-style, globally. But in comparison with face-to-face setting, virtual teams face multifold challenges. To date, scarce empirical research has examined whether team-breaking challenges are associated with limited access to peer nonverbal signals. This study examines whether access to body signals is associated with effective teamwork, and whether limi…
Examining the key drivers of student acceptance of online labs
As an important tool for STEM education, online labs have gained significant research attention. However, our understanding of online labs is limited by the inattention to the factors that contribute to the acceptance of online labs. This study adopts the UTAUT model to investigate the salient determinants of use of online labs. We test the proposed research model with data from N = 194 students. We find that performance expectancy, effort expect…
Computer Science (12 works) · Psychology (10 works) · Online and Blended Learning (7 works) · Mathematics education (6 works) · Online Learning and Analytics (6 works) · Knowledge management (5 works) · Artificial Intelligence (4 works) · Data science (4 works) · Innovative Teaching and Learning Methods (4 works) · World Wide Web (4 works)