[PDF][PDF] A practitioner's guide to measurement in learning analytics: Decisions, opportunities, and challenges

G Gray, Y Bergner - Handbook of learning analytics, 2022 - researchgate.net
What is our data measuring, why are we measuring it, and what can we infer from our
measurements? These are key questions for models of learning, and the focus of this …

Leveraging class balancing techniques to alleviate algorithmic bias for predictive tasks in education

L Sha, M Raković, A Das, D Gašević… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Predictive modeling is a core technique used in tackling various tasks in learning analytics
research, eg, classifying educational forum posts, predicting learning performance, and …

Is the latest the greatest? A comparative study of automatic approaches for classifying educational forum posts

L Sha, M Raković, J Lin, Q Guan… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In online courses, discussion forums play a key role in enhancing student interaction with
peers and instructors. Due to large enrolment sizes, instructors often struggle to respond to …

Leveraging explainability for discussion forum classification: Using confusion detection as an example

H Du, W Xing - Distance Education, 2023 - Taylor & Francis
Online discussion forums are highly valued by instructors due to their affordance for
understanding class activities and learning. However, a discussion forum with a great …

Which Hammer Should I Use? A Systematic Evaluation of Approaches for Classifying Educational Forum Posts.

L Sha, M Rakovic, Y Li, A Whitelock-Wainwright… - … Educational Data Mining …, 2021 - ERIC
Classifying educational forum posts is a longstanding task in the research of Learning
Analytics and Educational Data Mining. Though this task has been tackled by applying both …

Meetscript: designing transcript-based interactions to support active participation in group video meetings

X Chen, S Li, S Liu, R Fowler, X Wang - … of the ACM on Human-Computer …, 2023 - dl.acm.org
While videoconferencing is prevalent, concurrent participation channels are limited. People
experience challenges keeping up with the discussion, and misunderstanding frequently …

Detecting disruptive talk in student chat-based discussion within collaborative game-based learning environments

K Park, H Sohn, B Mott, W Min, A Saleh… - … Learning Analytics and …, 2021 - dl.acm.org
Collaborative game-based learning environments offer significant promise for creating
engaging group learning experiences. Online chat plays a pivotal role in these …

New methods for confusion detection in course forums: student, teacher, and machine

SA Geller, K Gal, A Segal, K Sripathi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article provides computational and rule-based approaches for detecting confusion that
is expressed in students' comments in couse forums. To obtain reliable, ground truth data …

[HTML][HTML] # let's-discuss: Analyzing Students' Use of Emoji when Interacting with Course Readings

A Blobstein, MT Facciotti, M Igo, D Karger… - International Journal of …, 2024 - Springer
Emoji are commonly used in social media to convey affects, emotions, and attitudes. While
popular in social media, their use in educational contexts has been sparsely studied even …

Detecting the confusion of students in massive open online courses using eeg

X Men, X Li - International Journal of Education and Humanities, 2022 - drpress.org
Confusion among students hinders learning and contributes to demotivation and disinterest
in the course materials. However, it takes a lot of time and resources to identify confused …