Chunked Lectures: A new model for conducting online lectures within Information Technology higher education

09/02/2019
by   Nick Patterson, et al.
0

The primary aim of this study in this paper aside from presenting student preference survey data and analytics data with relation to learning videos, is to address the attention span issues with our cohort of Information Technology students specifically and propose a new model being chunked lectures for delivering online lectures within the Information Technology discipline which may manage attention span more effectively and thus may also increase comprehension and retention of knowledge.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

01/03/2018

Big Data and Learning Analytics in Higher Education: Demystifying Variety, Acquisition, Storage, NLP and Analytics

Different sectors have sought to take advantage of opportunities to inve...
11/29/2021

Real-time Attention Span Tracking in Online Education

Over the last decade, e-learning has revolutionized how students learn b...
11/19/2020

Using Data Analytics to predict students score

Education is very important to Singapore, and the government has continu...
02/17/2018

Learning Analytics in Massive Open Online Courses

Educational technology has obtained great importance over the last fifte...
08/31/2021

Students' Information Privacy Concerns in Learning Analytics: Towards a Model Development

The widespread interest in learning analytics (LA) is associated with in...
12/11/2021

Programming Knowledge Tracing: A Comprehensive Dataset and A New Model

In this paper, we study knowledge tracing in the domain of programming e...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.