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Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title Researching Interactions with Technology
Module Code HSA (ITS) / ICT1000 (Banner)
Faculty Engineering & Computing School Electronic Engineering
Module Co-ordinatorRichard Bolger
Module Teachers-
NFQ level 8 Credit Rating 20
Pre-requisite Not Available
Co-requisite Not Available
Compatibles Not Available
Incompatibles Not Available
Repeat the module
Array
Description

A module where students explore the relevance of understanding the culture in which technologies are designed and deployed for management of IT, design of IT, and everyday use of current and future generations of IT. This course enables students to develop a critical position on technology use, experience, and adoption in social and cultural contexts, and allows students to carry out an empirical research project. As well as developing research skills, an examination is also made of the relevance of research in the business and everyday world of ICT. The module shapes an attitude toward professional practice as reflective, evidence-based practice.

Learning Outcomes

1. Analyse data using quantitative and qualitative methods.
2. Complete a research proposal.
3. Critically evaluate a substantial research literature.
4. Carry out an empirical research project in a scientific, professional manner (with supervision).
5. Apply ethical standards in research.
6. Collect and analyse data utilising qualitative, quantitative, or mixed methods.
7. Write a concise and professionally orientated scientific report on what they have discovered, modelled on a relevant journal article.
8. Reflect on lessons learned in the process of carrying out the research project.
9. Apply teamworking skills and values in mutual online support environment.
10. Develop an infographic/power point presentation/video to communicate your research succinctly to a wider audience.



Workload Full-time hours per semester
Type Hours Description
Tutorial20Tutorials are held in DCU on Saturdays and weekday evenings according to the timetable
Online activity50Interaction with tutor and fellow students
Directed learning10Supervisor meetings
Assignment Completion100Work independently on assignments over the year
Assessment Feedback10Assimilating and applying individual and group feedback on assignments
Independent Study310Reading, study, research and problem solving
Total Workload: 500

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Overview
This module will facilitate students, with supervision, to carry out an empirical and independent user experience/user interaction with technology research project. The module requires students to design a research project; apply for ethical approval to conduct the project; collect and analyse data; and submit a scientific report describing the project. Throughout the module, students will be supported by module supervisors. Students will also be encouraged to engage in peer support via online forums. The module involves a number of online tutorials as well as face-to-face workshops. Please refer to the research handbook on Loop for a full description.

Block 1
• Introduction to the Research Process • Ethics in Research • Identifying a Research Topic • Identifying a Research Topic in Human Computer Interaction • The Literature Review • Research Paradigms and Methodologies • Preparing a Project Plan and Research Proposal

Block 2
• Using Information Technology in Research • Issues in Data Collection • Designing a Research Study • Experimients • Surveys and Questionnaires • Qualitative Methods • Repertory Grids • Observation • Ethnography • Interviewing • Documents, Archives and Artefacts • Case Study • Mixed Methods Research • Managing Qualitative Data

Block 3
• Managing and Describing Quantitative Data • Exploring and Representing Quantitative Data• Qualitative Data Analysis: Overview of Approaches • Content Analysis • Grounded Theory • Thematic Analysis • Reporting Qualitative Research • Evaluating Qualitative Research • Inference and Hypothesis Testing • Comparing Independent Samples • Comparing Related Samples • Analysing Categorical Data • Correlation • Factor Analysis • Analysis of Variance • Regression

Block 4
• Writing up the Dissertation • Word Processing your Dissertation: Tips and Tricks • Presenting your Findings: Tips and Tricks

Assessment Breakdown
Continuous Assessment100% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
AssignmentStatistics exercise or Qualitative exercise10%n/a
Extended Essay / DissertationDissertation80%n/a
Reflective journalResearch project journal10%n/a
Reassessment Requirement Type
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
This module is category 1
Indicative Reading List

  • Bell, J.: 2014, Doing your research project: A guide for first time researchers, 6th, McGraw-Hill (ebook in DCU library), New York,
  • Robson, C. and McCartan, K: 2016, Real world research: a resource for users of social research methods in applied settings, 4th, Wiley (ebook in DCU library), New Jersey:,
  • Bryman, A.: 2016, Social research methods, 5th, Oxford University Press., Oxford,
  • Pallant, J.: 2016, SPSS survival manual: a step by step guide to data analysis using IBM SPSS, 6th, McGraw-Hill., Berkshire,
  • Smith, J.A: 2016, Qualitative Psychology: A practical guide to research methods, 3rd, Sage, London,
Other Resources

45808, Various, 0, See Module Text and Moodle for full list of readings,

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