Impact of Learner-Centric Discussion Forums on Learner Engagement in Skill Development MOOC

Ayer, Nitin; Sukhathankar, Heramb; Deshmukh, Urmila; Sahasrabudhe, Sameer

doi:10.1109/t4e.2018.00021

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…Studies have shown, however, that learner participation in MOOC discussion forums involves a relatively low number of learners and those that do participate are generally a homogenous group of professionals from the Western world who are well-educated (Gillani & Enyon, 2014;Ayer et al, 2018)…”

Section: How Were Goals Enacted In Course Designs?mentioning

confidence: 99%

Realizing Equity and Inclusion Goals in the Design of MOOCs

Chandler¹

2021

JAID

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Our research explores coherence between diversity, equity, and inclusion goals that faculty articulate in advance of the design process and their enactment within massive open online courses (MOOCs). The purpose of the study is to gain an understanding of the types of goals identified by faculty within course design proposals and howthose goals are instantiated in corresponding course designs when working with design teams. Our team analyzed 11 single MOOC and MOOC series proposals to characterize the design goals stated. Following the proposal analysis, we analyzed 32 corresponding courses to identify instances in which stated goals related to diversity, equity, and inclusion were realized. Our analysis revealed patterns between proposed goal types and the ways in which goals manifest in courses related to the way in which content or learning processes were central to the design. We intend to use the results to inform the development of processes to engage in a systematic and purposeful approach for the realization of equitable and inclusive design goals in MOOCs.

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Section: How Were Goals Enacted In Course Designs?mentioning

confidence: 99%

Realizing Equity and Inclusion Goals in the Design of MOOCs

Chandler¹

2021

JAID

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“…Online learning platforms have transformed the education industry and more and more learners are now using online learning for acquiring degrees and enhancing their skills. MOOCs like Coursera, Udacity, edX and others are augmenting the traditional face-to-face instruction and have gained huge popularity in the past decade [1]. Although the online learning mode has various advantages, which include accessibility and self-paced learning, it lacks the personal faceto-face feedback mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…Since the MOOC platforms are evolving to become more Learnercentric from instructor centric, discussion forums could be considered for leveraging effective peer to peer learning thereby improving engagement levels of the learner on online learning platforms. Authors have proved such elements of learner centric interaction have improved the learner participation on discussion forums in MOOCS [1].…”

Section: Introductionmentioning

confidence: 99%

Early Prediction of ‘At-Risk’ Learners on Virtual Platforms using ODFs

Nanavaty,

Khunteta

2023

JAZ

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This Learning analytics are one of the most important assistance tools used by educators for early identification of at-risk learners. Researchers have used many AI based tools for monitoring learning and improving learner's performances by using any early intervention strategies to reduce dropout rates on online platforms that lacks face-to-face acknowledgement and feedback. Online platforms have Online Discussion Forums (ODFs) where a learner can post his queries and interact with other learners or the instructor. It becomes one of the useful indicators of tracking participation of a learner in the teaching learning process. Learners who actively participate in interaction on these online discussion platforms and contribute to the learning content required by other users are believed to give better performance as compared to those who do not participate in forum discussion. This paper focuses on the aspects of forum discussion like frequency of posts, sentimental analysis of forum post, number of threads initiated or replied to, and also how recent the post to predict the learners who could be at-risk of dropping out. The prediction model uses a data set from secondary resource. Various metrics like Confusion Matrix and Loss curve are employed to measure the accuracy of the model. Results indicate that data captured using forum posts can help in early identification of At-risk Learners.

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