IDENTIFYING DATA 2023_24
Subject (*) TOOLS AND TECHNIQUES FOR COLLECTING AND ANALYSING DATA Code 11665212
Study programme
Educational Technology: e-Learning and Knowledge Management (2012)
Cycle 2nd
Descriptors Credits Type Year Period
6 Optional First AN
Language
Castellà
Department Pedagogy
Coordinator
USART RODRÍGUEZ, MIREIA
E-mail mireia.usart@urv.cat
Lecturers
USART RODRÍGUEZ, MIREIA
Web
General description and relevant information <p> This subject will be lectured by Dr. Mireia Usart (mireia.usart@urv.cat)</p>

Competences
Type A Code Competences Specific
  Common
  AC1 Analizar las TIC como herramienta e instrumento para el e-learning y la gestión del conocimiento.
  AC3 Diseñar y desarrollar programas y proyectos de innovación y de investigación en el ámbito del e-learning.
  AC5 Adoptar medios, recursos y herramientas en procesos de seguimiento y evaluación de e-learning.
  AC7 Gestionar y utilizar la información en el desarrollo de proyectos.
  AC9 Aplicar modelos pedagógicos y conocimientos técnicos para la resolución de problemas de formación en e-learning.
  AC14 Transferir a otros contextos la actividad práctica desarrollada.
  AC16 Usar herramientas tecnológicas para el diseño y desarrollo de instrumentos y recursos para la investigación.
  AC17 Aplicar técnicas de análisis de datos en investigación educativa.
  AC18 Difundir y comunicar resultados de investigación.
Type B Code Competences Transversal
  Common
  BC1 Aprender a aprender.
  BC2 Resolver problemas complejos en contextos multidisciplinares relacionados con el campo de estudio.
  BC3 Aplicar pensamiento crítico, lógico y creativo demostrando capacidad de innovación.
  BC4 Trabajar de forma autónoma con responsabilidad e iniciativa.
  BC6 Clear and effective communication of information, ideas, problems and solutions in public or a specific technical field
Type C Code Competences Nuclear
  Common
  CC1 Dominar en un nivel intermedio una lengua extranjera, preferentemente el inglés.
  CC2 Be advanced users of the information and communication technologies

Learning aims
Objectives Competences
1. Differentiate the data collection tools and techniques used in educational research. AC1
AC5
BC1
CC1
2. Know how to collect, analyze and present qualitative and quantitative data obtained from different sources. AC7
AC16
AC17
CC1
CC2
3. Know how to use the different statistical packages and current software for the analysis of quantitative and qualitative data. AC1
AC7
AC14
AC16
AC17
BC6
CC1
CC2
4. Knowing how to correctly apply ethical aspects during data collection and analysis. AC1
AC9
AC16
AC17
AC18
BC4
CC1
5. Knowing how to design the methodological part of a specific original research or innovation study, the sample parts, instruments and data analysis. AC1
AC3
AC9
AC14
AC16
BC2
BC3
BC4
BC6
CC1

Contents
Topic Sub-topic
1. Selection and design of instruments for data collection.
1.1. Tools and techniques in educational research.
1.2. The process of decision making. From paradigm to analysis.
1.3. Ethical aspects of the process.
1.4. Planning data collection and analysis, and presentation
of results.
1.5. Variables: definition, classifications and relationships between them.
1.6. Types of instruments and data collection techniques.
2. Quantitative data analysis
.
2.1. Definition and characteristics of quantitative research
2.2.Types of data and quantitative tests.
23. Validity and reliability of quantitative instruments
2.4. Quantitative data analysis (exploratory, correlational and
inferential) and statistical methods for research
educational.
2.5. Statistical packages for the analysis of quantitative data
3. Qualitative data analysis. 3.1. Definition and characteristics of qualitative research.
3.2.Organization and presentation of qualitative data analysis.
3.3. Data triangulation in educational research.
3.4. Analysis of qualitative data in educational research.
3.5. Program for the analysis of qualitative data.

Planning
Methodologies  ::  Tests
  Competences (*) Class hours Hours outside the classroom (**) Total hours
Introductory activities
1 3 4
 
Lecture
4 8 12
Seminars
4 20 24
Assignments
5 25 30
Debates
5 30 35
 
Personal attention
5 10 15
 
Practical tests
5 25 30
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Actividades introductorias a la materia.
Lecture Videoconferencias con exposiciones teóricas y debates aplicados.
Seminars Trabajo en pequeños grupos de forma síncrona y asíncrona.
Assignments Resolución de casos prácticos de modo analítico. Proyectos de diseño.
Debates Análisis grupal de elementos de discusión.
Personal attention Atención al alumno para la resolución de dudas y para la orientación académica y profesional.

Personalized attention
 
Personal attention
Assignments
Practical tests
Description

The teacher will be available for tutorials during class weeks.


Assessment
  Description Weight
Introductory activities Activitat sense pes a la nota 0%
Lecture Activitat sense pes a la nota 0%
Seminars Activitat sense pes a la nota 0%
Debates Degree of participation in the debates and the contributions they make. In concept, the activity 1 is a debate with weight (10%) in the final grade. It is convenient to follow the schedule of the activities as proposed in the course and meet the deadlines set for their delivery. In this way it will be possible to guarantee a coherence and a correct integration of the contents of all the courses to which each student has enrolled. 10
Practical tests The evaluation method will be based on:

-Continuous evaluation from the completion of the activities that are proposed throughout the course. It is recommended to consult the specific planning of the subject available in the Moodle space of the subject to know the details of these activities.
90 %
 
Other comments and second exam session

As part of the continuous evaluation, in those cases in which the students make a second delivery of an evaluable activity that has been suspended or not presented, the delivery will be made, within 45 days after the end of the subject, on the date determined by the professor, only in those cases in which the student expressly contacts them to request it within the ordinary academic period of the subject. Once this period is over, it will be understood that the student withdraws and will not have the right to this second opportunity. 

 It is recalled that students have to respect the criterion of absolute linguistic correctness in all their evaluation tests (and also teaching-learning tests) and that not doing so can be a direct reason for failing. On the other hand, any circumstance of plagiarism on the part of the students can mean direct failure to the subject, without the possibility of resorting to the second call.Finally, students are suggested to consult the specific planning housed in the Moodle space of the subject.


Sources of information

Basic
1. Bisquerra Alzina, R. (coord..) (2009). Metodología de la Investigación Educativa. Madrid, Editorial la Muralla. 2.a edición (primera edición de 2004).
2. Hernández Sampieri, R., Fernández Collado, C. y Baptista Lucio, P. (2003) Metodología de la investigación (3a ed.). México: McGraw-Hill.

3. Koetting, J. (1984). Foundations of naturalistic Inquiry: developing a Theory Base for Understaning individual Interpretations of Reality. Dallas, Texas: Association for Educational Comunications and Tecnology.

4. McMillan, J. H., & Schumacher, S. (2005). In Posadas J. L. (Ed.), Investigación educativa (5th ed.). Madrid: Pearson Education.

5. Cohen, L., Manion, L., & Morrison, K. (2007). Research Methods in Education (6th ed.). London: Routledge.
Complementary

Recommendations


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.