Modules

Module title: Scientific Enquiry [Sri Lanka]
SCQF level: 07:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: ENV07800
Module leader: Claire Garden
School School of Applied Sciences
Subject area group: Animal and Plant Science
Prerequisites

N/A
2018/9, Trimester 3, Face-to-Face,
Occurrence: 001
Primary mode of delivery: Face-to-Face
Location of delivery: SRI LANKA
Partner:
Member of staff responsible for delivering module: Claire Garden
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
This module will involve a variety of methods: an initial series of lectures will introduce the scientific method, the range of techniques available for summarising
and presenting data and the parametric and non-parametric tests which can be used
to look for differences between and relationships within datasets. These will each be
followed by a PC session where students follow on-line tutorials developing skills of plotting and statistically analysing data. Progress through these will be aligned to successful completion of on-line questions. Classroom tutorial sessions will work through sample data sets to develop the skill to select the most appropriate presentation and analysis tools. The practical phase will then follow, with each student following the scientific method process from study design and hypothesis production, through data collection and analysis and back to the hypothesis. This will take place over three sessions in one week to highlight the cyclical nature of the process; study design session (2hrs on day one), data collection (full day) and data analysis (1hr on day three). In order to cover a range of research questions and related practical skills, each student will repeat the process on three separate weeks.
Formative Assessment:
A series of questions undertaken after each of the on-line tutorial concerning
graph selection and production and statistical methods, will inform students as to the
development of their competence in relation to the first summative assessment.
These questions can be repeated until all are answered correctly which will allow
progress to the next topic. Development of these skills will be required in order to tackle the data subsequently collected in each of the practical rotations in the latter half of the trimester.
The content and format of the laboratory log will receive formative feedback during the practical sessions to develop reporting skills in relation to the second summative assessment.
Summative Assessment:
Following completion of the lecture series and on-line activities, graph selection and descriptive and inferential statistical competence will be assessed using an on-line test completed on-campus under controlled exam conditions.
The maintenance of an electronic laboratory log to accurately record the scientific process from the development of the question and methodological approach, through data collection and analysis and back to the question, will be assessed for one of the three cycles.
Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 5
Online Guided independent study 9
Face To Face Practical classes and workshops 18
Face To Face Tutorial 7
Independent Learning Guided independent study 161
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Digital Examination (not Centrally Timetabled) 50 1 & 2 8 HOURS= 1, WORDS= 0
Learning Log 50 3 & 4 11 HOURS= 0, WORDS= 0
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100
2019/0, Trimester 1, FACE-TO-FACE,
Occurrence: 001
Primary mode of delivery: FACE-TO-FACE
Location of delivery: SRI LANKA
Partner:
Member of staff responsible for delivering module: Claire Garden
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
This module will involve a variety of methods: an initial series of lectures will introduce the scientific method, the range of techniques available for summarising
and presenting data and the parametric and non-parametric tests which can be used
to look for differences between and relationships within datasets. These will each be
followed by a PC session where students follow on-line tutorials developing skills of plotting and statistically analysing data. Progress through these will be aligned to successful completion of on-line questions. Classroom tutorial sessions will work through sample data sets to develop the skill to select the most appropriate presentation and analysis tools. The practical phase will then follow, with each student following the scientific method process from study design and hypothesis production, through data collection and analysis and back to the hypothesis. This will take place over three sessions in one week to highlight the cyclical nature of the process; study design session (2hrs on day one), data collection (full day) and data analysis (1hr on day three). In order to cover a range of research questions and related practical skills, each student will repeat the process on three separate weeks.
Formative Assessment:
A series of questions undertaken after each of the on-line tutorial concerning
graph selection and production and statistical methods, will inform students as to the
development of their competence in relation to the first summative assessment.
These questions can be repeated until all are answered correctly which will allow
progress to the next topic. Development of these skills will be required in order to tackle the data subsequently collected in each of the practical rotations in the latter half of the trimester.
The content and format of the laboratory log will receive formative feedback during the practical sessions to develop reporting skills in relation to the second summative assessment.
Summative Assessment:
Following completion of the lecture series and on-line activities, graph selection and descriptive and inferential statistical competence will be assessed using an on-line test completed on-campus under controlled exam conditions.
The maintenance of an electronic laboratory log to accurately record the scientific process from the development of the question and methodological approach, through data collection and analysis and back to the question, will be assessed for one of the three cycles.
Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 5
Online Guided independent study 9
Face To Face Practical classes and workshops 18
Face To Face Tutorial 7
Independent Learning Guided independent study 161
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Digital Examination (not Centrally Timetabled) 50 1 & 2 8 HOURS= 1, WORDS= 0
Learning Log 50 3 & 4 11 HOURS= 0, WORDS= 0
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Description of module content:

This module seeks to develop your understanding of the practice of enquiry-led science. You will explore aspects of study design in the context of a variety of research questions which may require various laboratory approaches to test related hypotheses. You will use relevant techniques to collect data and subsequently present, describe and interpret these in relation to the original research question and hypothesis. The skills developed are basic to science and cut across subject disciplines. They include the development of a clear research question or hypothesis, principles of study design, the choice of appropriate descriptive statistics, graphical representation and inferential statistical tests. The accurate recording of the process from the development of the question through the study process and back to the question will be evidenced through the maintenance of an electronic laboratory log.
Learning Outcomes for module:

LO1: Select and produce the most appropriate graphical representation and summary descriptive statistics for a given dataset;
LO2: Select and apply the most appropriate inferential statistics to answer a given question;
LO3: Evidence the development and justification for an appropriate methodological approach to a given question;
LO4: Present and interpret the data collected to test the proposed hypotheses/research questions.
Indicative References and Reading List - URL:
Contact your module leader
 

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