Publications

This is home for my research publications, each linked with accompanying preprints, posters, and/or news pieces. See my CV for more details.

2022

Learning Analytics for Understanding and Supporting Collaboration

Abstract Collaboration is an important competency in the modern society. To harness the intersection of learning, work, and collaboration with analytics, several fundamental challenges need to be addressed. This chapter about collaboration analytics aims to highlight these challenges for the learning analytics community. We first survey the conceptual landscape of collaboration and learning with a focus on the computer-supported collaborative learning (CSCL) literature while attending to perspectives from computer supported cooperative work (CSCW).

Socio-Semantic Network Motifs Framework for Discourse Analysis

ABSTRACT Effective collaborative discourse requires both cognitive and social engagement of students. To investigate complex socio-cognitive dynamics in collaborative discourse, this paper proposes to model collaborative discourse as a socio-semantic network (SSN) and then use network motifs – defined as recurring, significant subgraphs – to characterize the network and hence the discourse. To demonstrate the utility of our SSN motifs framework, we applied it to a sample dataset.

Networks in Learning Analytics: Where Theory, Methodology, and Practice Intersect

Keywords: network analysis, networked learning, social network analysis, learning analytics, network science, editorial ABSTRACT Network analysis has contributed to the emergence of learning analytics. In this editorial, we briefly introduce network science as a field and situate it within learning analytics. Drawing on the Learning Analytics Cycle, we highlight that effective application of network science methods in learning analytics involves critical considerations of learning processes, data, methods and metrics, and interventions, as well as ethics and value systems surrounding these areas.

2021

Collaborative Learning at Scale

The CSCL community has traditionally focused on collaborative learning in small groups or communities. In this chapter, we propose a framework that considers scale as either a problem to be mitigated or an asset to be harnessed, and then review pedagogical and technological innovations representing these two approaches.

January 2, 2021

10:45 AM


2020

Teachers’ networked professional learning with MOOCs

Massive Open Online Courses (MOOCs) are used to support professional learning at scale in many countries. This study examined a MOOC named Flipped Classrooms that was specially designed for in-service teachers in China.

July 4, 2020

9:06 PM