research-article

A Proposed Design of a Lecture Material to Reduce Learning Complexity

Authors:

Mainul Islam Mahi,

MD.Shahidullah Rakib,

Mahedi Hasan Joy,

MD. Rezvi Khalid Hridoy,

Aneem-Al-Ahsan Rupai,

Rashidul Hasan NabilAuthors Info & Claims

ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements

Pages 213 - 219

https://doi.org/10.1145/3542954.3542986

Published: 11 August 2022 Publication History

Abstract

Cognitive Load Theory (CLT) and Human-Computer Interaction (HCI) concepts need to be combined to understand better how students learn in more complex environments. For this reason, this paper combines Cognitive Load Theory (CLT) and Human-Computer Interaction (HCI). The primary purpose of this paper was to reduce the student’s cognitive load through a lecture note. With the help of HCI design-centered principles on a lecture note, we have implemented the lecture note to lessen students’ cognitive load. The lecture note could be an example of how HCI can be designed in a lecture note. This paper has discussed the research questions with several learning theories that measured students’ cognitive load. Based on learning theories and HCI design principles, we have developed two lecture notes; the first is HCI design-based, and the second is in the absence of HCI design principles. The reason for making two lecture notes is to observe which lecture note is reducing or increasing students’ cognitive load when we may conduct the survey1. The survey was performed among some undergraduate students. When studied, the cognitive load was lowered among the student in lecture one, where the HCI design concepts were applied, and the average cognitive efficiency was 1.52 from 143 participants. And the lecture note two, where HCI design principles did not apply, has increased students’ cognitive load. The cognitive efficiency of lecture note two was 0.60 from 112 participants, which illustrates the importance of HCI in lecture notes.

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Cited By

Suryani MSantoso HSchrepp MAji RHadi SSensuse DSuryono RKautsarina (2024)Role, Methodology, and Measurement of Cognitive Load in Computer Science and Information Systems ResearchIEEE Access10.1109/ACCESS.2024.351435512(190007-190024)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3514355
Chowdhury SMahi MSaimon SUrme ANabil R(2023)An Integrated Approach of MCDM Methods and Machine Learning Algorithms for Employees' Churn Prediction2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)10.1109/ICREST57604.2023.10070079(68-73)Online publication date: 7-Jan-2023
https://doi.org/10.1109/ICREST57604.2023.10070079

Index Terms

A Proposed Design of a Lecture Material to Reduce Learning Complexity
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User models
    2. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design process and methods
      1. Activity centered design

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ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements

March 2022

543 pages

ISBN:9781450397346

DOI:10.1145/3542954

Copyright © 2022 ACM.

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Published: 11 August 2022

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ICCA 2022

ICCA 2022: 2nd International Conference on Computing Advancements

March 10 - 12, 2022

Dhaka, Bangladesh

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Cited By

Suryani MSantoso HSchrepp MAji RHadi SSensuse DSuryono RKautsarina (2024)Role, Methodology, and Measurement of Cognitive Load in Computer Science and Information Systems ResearchIEEE Access10.1109/ACCESS.2024.351435512(190007-190024)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3514355
Chowdhury SMahi MSaimon SUrme ANabil R(2023)An Integrated Approach of MCDM Methods and Machine Learning Algorithms for Employees' Churn Prediction2023 3rd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)10.1109/ICREST57604.2023.10070079(68-73)Online publication date: 7-Jan-2023
https://doi.org/10.1109/ICREST57604.2023.10070079

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