To evaluate the quality of learning outcome in HTE -an European model- Leonardo da Vinci - Pilot...

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To evaluate the quality of To evaluate the quality of learning outcome in HTE learning outcome in HTE -an European model- -an European model- Leonardo da Vinci - Pilot Project Ex.Per.O EXpectations and PERceptions Of Quality in HTE

Transcript of To evaluate the quality of learning outcome in HTE -an European model- Leonardo da Vinci - Pilot...

To evaluate the quality of learning To evaluate the quality of learning outcome in HTEoutcome in HTE

-an European model--an European model-

Leonardo da Vinci - Pilot Project

Ex.Per.OEXpectations and PERceptions Of Quality in HTE

The ExPerO- ProjectThe ExPerO- Project

• Pilot Project -Leonardo da Vinci (UE)• ITALIA, BÃLGARIJA, LIETUVA, ESPAÑA, SLOVENIJA • Different kinds of partners :

– Research InstitutionsResearch Institutions: University of Trieste- Turin Polytechnic (IT)- Kaunas Technology University (LT), IREL (SI), DIA Sport (BL).

– Vocational SchoolsVocational Schools: ITI Malignani (IT), IPPSAR Borsellino (IT), STUCOM (ES), Tehniski Solci Center Nova Gorica (SI), Srednja poklicna in tehnicna kmetijsko zivilsk (SI), Rysininku Mokykla (LT),

– Quality Consulence CompanyQuality Consulence Company: GOVAQ (ES) – Critical FriendCritical Friend: IRRE Veneto (IT)

• Contest: High Technical Education courses

The ExPerO The ExPerO ProjectProject

Aims and resultsAims and results

• Theoretical Model of evaluation quality of HTE (glossary and

visualization) • Diagnosis tools (expectations, image and perceptions)

• Empirical survey in CV (Educational Institute providing HTE Course)

• Data elaboration and matrix creation• Database of divergences management• Training course

Dissemination Tools:- Newsletters- Hypertext- Web site- Training

Key theoretical conceptsKey theoretical concepts

• Learning outcome vs Learning process• The Stakeholders

• Quality school service evaluation:

– Expectations and perceptions– Quality of HTE institute image – Quality Service vs Customer Satisfaction

• Two areas: SHOULD and IS• The quality indicators of learning outcome and

stakeholders

Template
eito o servizio nel complesso?

Learning outcomeLearning outcome (of HTE) (of HTE)

The focus is on learning outcome, as the main result of educational service. Educational outcome ≠ Organizational processes

“The integrate system of competencies acquired in attending a HTE course by a

trainee. It’s composed by knowledge, skills and professional behaviour.”

Stakeholders listStakeholders list

• Trainees and trainees with special needs

• Teachers of theoretical subject

• Teachers of vocational subject

• Administrative staff• Managerial staff• Tutor• Potential trainees• Families• Families of trainees with

special needs

• Associations of people with special needs

• Local Companies• Excellent Companies• Customers of the Companies• Education/Labour Ministry • European policies• Public authorities at local levels• Industrial association• Work associations• Unions and Trades• Universities• Past students

StakeholdersStakeholders

– External (companies, associations, etc.)

Trainer

Tutor

Factory Ministry

Parents

− Trainees (participating in the training)

− Internal (teachers, tutors, employees, etc.)

3 main categoriesFocus on students with special needs.

Trainees

Different types of expectation

“Expectation” is not a monolithic concept; it can be declined in different ways.

The most important are:

Expectation as predictive standard

Expectation as ideal standard

Will happenExpectation as predictive standard (Boulding, Kalra, Staelin and Zeithaml, 1993).

This kind of expectation is focalized on the sure forecast about what is going to happen (will happen) in the next match with the service or with the company.

This kind of expectation is usually used in the costumer satisfaction studies.

Should happen

Expectation as ideal standard

(Boulding, Kalra, Staelin and Zeithaml, 1993).

This kind of expectation is what the customer would obtain (should happen) in the next match with the service or with the company.

This kind of expectation is usually used in the service quality models.

Ideal standard versus Desires

If we ask a desire about a service, the answer could be unrealistic, far from what is possible.

Instead, considering expectation as ideal standard, the requested opinion is more realistic and pragmatic. It is rooted on past experience but, at the same time, it looks to the situation in an improving way. ROOTED ON

PAST EXPERIENCES

LOOKING FOR A BETTER SITUATION

It is important to underline the difference between expectation as ideal standard and desires.

ImageImage• It is a vehicle of meaning able to create values and virtual

worlds (immaterial side). • It has to be linked with the real characteristics of the service

(material side).• It becomes the social memory of the service, able to give

identity and make the difference among other similar services.

Through a validated questionnaire to be submitted to trainees stakeholders and external stakeholders.

How to measure it?How to measure it? QI (Quality of Image)

OPOP - - Organisational ProcessesOrganisational ProcessesQR-EXQR-EX-- Expectation of Results Expectation of Results

QIQI - - Quality of Quality of ImageImage

QCQC - - Quality of Competencies Quality of Competencies SRSR - Satisfaction of Results - Satisfaction of ResultsQR-PERQR-PER-- Perception of ResultsPerception of Results

STK- I

STK- T

STK- E

Internal (teachers, tutors, employees, etc.)

Trainees (participating in the training)

External (companies, customers, vocational association, ministry, EU…)

QRQREX PER

SR

OP

QI

QC

Quality indicators of learning outcomeQuality indicators of learning outcome Ideal Expectation OP- Organisational ProcessesOP- Organisational Processesabout organisational processes (should)

Evaluation of quality results (2)- Expectation of results (should) QR-EXQR-EX– Quality of ResultsQuality of Results

Values associated to the institute’s image QI - Quality of the ImageQI - Quality of the Image

Evaluation of competencies acquired on attending HTE course- Difference between initial QC- Quality of CompetenciesQC- Quality of Competencies

and final status

Trainees satisfaction of the learning outcome - Relation between expectations (will) SR-SR- Satisfaction of ResultsSatisfaction of Results and perceptions

Evaluation of quality results (1)– Perception of results QR-PER-QR-PER- Quality of ResultsQuality of Results

Summarising…Summarising…

Focus on Service Quality approachFocus on Learning Outcome (not the quality of the

whole service)

Expectation = Ideal Expectation (not the foreseen)

Satisfaction of results includes the expectations without direct questions.

Different kinds of stakeholders (I-STK, T-STK and E-

STK), with different needs and perceptions.

The The glossaryglossary

The glossary contains the technical words used in the theoretical model. It is a very useful

tool to realise the diagnosis.

Diagnosis

To weight the stakeholdersTo weight the stakeholders

Categories of stakeholder Score

Potential students

Special needs Ass./families

Companies

Customers

Vocational Ass/ Chamber of C.

University

Ministry

EC

Total 1000

When the weight is zero, it means that the category is

NOT important for the HTE…

It is NOT a stakeholder at all!

the MSExcel® fileINPUT

Introduce in the following cells the weights attributed to each stakeholder. Sum of weigths must be equal to 1000.

potential trainees special needs companies customers vocational universities ministry eu

Weights 150 0 350 25 125 100 50 200

neglig. level 0,571428571 1 0 0,928571429 0,642857143 0,714285714 0,857142857 0,428571429Introduce in the following cells the scores (from 1 to 100) attributed to each subindicators for each stakeholder.

potential trainees special needs companies customers vocational universities ministry eu

Competencies 25 50 78 99 18 15 4 98

Declining to future needs 90 80 90 88

Employability 70 15 95 95 80 80

Dropout 70 70

Credits system 80 85 80 80

Introduce in the following cells the scores (from 1 to 100) attributed to SR (Satisfaction Results) and QI (Quality of image).

SR 96

QI 88

1st step:To weight the stakeholders

1000 scores with check

Categories of stakeholder sample

Internal (teachers,

administrative, tutors) 10 -12 people, each personnel

category should be represented

Trainees (+ special needs) 10 (+10)

Potential students 5

Special needs Ass./families 3

Companies 3

Customers 3

Vocational Ass/ Chamber of Commerce/ Trade Unions

3

University 1

Ministry & EC Documental analysis

2nd step: to choose the people for the

sample

Guidelines for Guidelines for SHOULD diagnosisSHOULD diagnosis

OPOP • To define the sample To define the sample (students, teachers, tutors, etc.)(students, teachers, tutors, etc.)• T-STK- interviewT-STK- interview• I-STK- focus groupI-STK- focus groupData = Qualitative information about Data = Qualitative information about

how the how the organisationalorganisational processes processes should be.should be.

QCQC• Choice of indicators in order to Choice of indicators in order to

measure the quality of competencies measure the quality of competencies (ex. final degree vote).(ex. final degree vote).

QR-EXQR-EX • To define the sample (E-To define the sample (E-

STK companies, STK companies, potential trainees, etc.)potential trainees, etc.)

• interviews and data interviews and data analysisanalysis

DATA=Qualitative and DATA=Qualitative and quantitative information quantitative information about how the quality of about how the quality of results should be.results should be.

Through the integration with VQTS matrixHTE will be able to quantify QC

OPOP - - Organisational ProcessesOrganisational ProcessesQR-EXQR-EX-- Expectation of Results Expectation of Results

QIQI - - Quality of Quality of ImageImage

STK- I

STK- T

STK- EQRQREX

OP

QI

Data collection Data collection andand storage storage

Tools:Tools:• Semi structured interview Semi structured interview ((QR, SR, OPQR, SR, OP))

• Questionnaire Questionnaire (QI)

• Focus Group Focus Group (OP)

• Documental Analysis Documental Analysis (EC – Ministerial expectation)

Third step: to manage the survey

Annex A – focus group grid

Annex F – for companiesan example: competences

• In order to answer to organisational needs, which are the knowledge, skills and behaviours that a HTE graduated should to have?

• Which kinds of competences are important during the selection assessment?

HowHow to use the documental analysis? to use the documental analysis?

• To identify expectations of Education Ministry and EC

• Deep analysis of the documents.

• To define indicators of expected quality

• To measure the adherence between HTE results and expected levels.

A special focus on documental analysis

PISA indicator Average

How to store data

Annex F- Questions for semi-structured interview to employers/companies about expectation of learning outcome (EX-QR).

I/05/B/F/PP-154171

Indicators QuestionsEng Original language

Name of the companyDate of interviewName of interviewerName of the interviewee

Role in the company

Introduction What do You know about this course?How do you know it?Have You known past students of this course? Which opinion do You have about them?

Do You collaborate with HTE institution? How?

E1

4th step: to store data collected

Guidelines for Guidelines for Image diagnosisImage diagnosis

QI- Quality of ImageQI- Quality of Image– To use the same sample of QR or, for a wider To use the same sample of QR or, for a wider

analysis, adding more E-STK.analysis, adding more E-STK.– T-STK and E-STK: QuestionnaireT-STK and E-STK: Questionnaire

Organizing the diagnose of image… Who does Whom Who How

indicate the name of who submits and collects

questionnaires

indicate the number of the submitted questionnaires

indicate the number of the collected questionnaires

space to indicate useful notes (i.e. date)

Image sample

teachers

administrative

other staff

students

potential students

parents

disadvantage referent

companies

customer of companies

vocational association

unviersity referent

ministerial or local adminstration

Image questionnaire

Image profile

an Excel sheet to store data for image..

SRSR – To define the sampleTo define the sample– T-STK: interviewT-STK: interview– Qualitative information Qualitative information

about satisfaction of about satisfaction of results + a score (0-results + a score (0-100 about perceived 100 about perceived satisfaction)satisfaction)

Guidelines forGuidelines for ISIS diagnosis diagnosis

QR-PERQR-PER– In the sample of QR-EX In the sample of QR-EX

choose choose onlyonly who has who has known HTE students.known HTE students.

– E-STK: interviewE-STK: interview– Qualitative information Qualitative information

about perception of about perception of resultsresults

WHEN? after the end of the course

QCQC - - Quality of Competencies Quality of Competencies SRSR - Satisfaction of Results - Satisfaction of ResultsQR-PERQR-PER-- Perception of ResultsPerception of Results

STK- I

STK- T

STK- EQRQR PER

SRQI

QC

How to manage IS survey

c Who does Who When How

indicate the name of the interviewer

indicate the number or the name where possible of

participant sample

indicate the date of the interview

space to indicate useful notes

SR- Satisfaction of Resultsstudents

disadvantage students

QR-PERdisadvantage referentdisadvantage referentdisadvantage referent

companiescompaniescompanies

customer of companiescustomer of companiescustomer of companies

vocational associationvocational associationvocational association 5th – manage the

IS diagnose

Annex PF – to companies

6th – to collect data

To store data

7th – to store data

A special focus on documental analysis

PISA indicator 430 510

Who is the school evaluator?Who is the school evaluator?

• Headmaster • Quality manager• Quality group• …or someone who is able to evaluate the quality

of HTE learning outcome, in an improvement and diagnostic way, notnot to appear better.

In Expeo2EU we are going to Introduce the school– circle

on mechatronic

-QR- -QR- Data elaboration Data elaboration

Sub- indicators of QRSub- indicators of QR

• Competencies

• Credit system• Meeting the future needs (emerging occupation-

trade sector)

• Employability

• Dropout

Sub-indicator: competencies Sub-indicator: competencies

The competence is the basic unit of the expertise that a worker has got and it includes:

1. cognitive competence involving the use of theory and concepts (to know);

2. functional competence (skills or know-how), in a specific work area, learning or social activity (to know how to do);

3. personal competence involving knowing how to conduct oneself in a specific situation (to know being);

4. ethical competence involving the owning specific personal and professional values (to know staying with others).

Sub-indicator: credit system Sub-indicator: credit system

A credits system represents the volume of learning outcomes, in a measurable form.

It may be characterised by its size and relative importance, expressed in general by credit points (or credits) or other factors.

Sub-indicator: meeting the future needs Sub-indicator: meeting the future needs (emerging occupation- trade sector(emerging occupation- trade sector))

It consists in the adaptability of the HTE course to the change of the demands in the labour markets (in the occupations, sectors, and trades).

– to create or to adapt the courses to these future needs responding at the market demands so that companies receive well prepared workers

Sub-indicator: employabilitySub-indicator: employability

It looks at the real trend of the employment in connection with the competencies, learnt by the students through the HTE course.

– It is important to know if the job is in the same field of the course.

– It refers to the number of trainees who find a jobthanks to the attendance of the HTE course. – This indicator is generally analysed checking thedestination of trainees, 3 or 6 months after the end of HTE course.

Sub-indicator: dropoutSub-indicator: dropout

It represents the real trend of the student’s amount who attended the course considering who withdraws before completing the HTE training.

– The early school leavers (drop-outs) is considered a vulnerable group.

– The knowledge about this phenomenon is very important in addressing the future policy.

How to evaluate How to evaluate QRQR??

• Quality Evaluator• To analyse data collected

• Reading the collected expectations for each stakeholder for each sub-indicator.

• Reading the collected perceptions for each stakeholder for each sub-indicator. Proposing an evaluation, answering to the question:

““How much we are fitting the How much we are fitting the expectations of this category expectations of this category

of stakeholder in this of stakeholder in this subindicator?” 0-100subindicator?” 0-100

If there is not collected data

(empty field), the evaluator is called to use his/her personal

knowledge

In Expeo2EU we are going to Introduce the school– circle

on mechatronic

Transposition in numbersTransposition in numbersExpectation * Perception

* means “operationalisation” = to attribute a score 0-100

If the score is close to 0, it means the HTE does not meet the expectations of that stakeholder in that sub-indicator at all.

If the score is close to 100, it means the HTE perfectly meets the expectations of that stakeholder in that sub-indicator.

If the score is around 50, it means the HTE meets them just partially.

How much the perception fits the expectation ?

8th – to evaluate QR indexes

How to use the MSExcel® fileINPUT

Introduce in the following cells the weights attributed to each stakeholder. Sum of weigths must be equal to 1000.

potential trainees special needs companies customers vocational universities ministry eu

Weights 150 0 350 25 125 100 50 200

neglig. level 0,571428571 1 0 0,928571429 0,642857143 0,714285714 0,857142857 0,428571429Introduce in the following cells the scores (from 1 to 100) attributed to each subindicators for each stakeholder.

potential trainees special needs companies customers vocational universities ministry eu

Competencies 25 50 78 99 18 15 4 98

Declining to future needs 90 80 90 88

Employability 70 15 95 95 80 80

Dropout 70 70

Credits system 80 85 80 80

Introduce in the following cells the scores (from 1 to 100) attributed to SR (Satisfaction Results) and QI (Quality of image).

SR 96

QI 88

- SR-- SR-Data elaboration Data elaboration

Sub-indicators of SRSub-indicators of SR

• Competences • Meeting the future needs (emerging

occupation- trade sector)

• Employability

• Credit system

How to evaluate SR?How to evaluate SR?

• The Quality group has to read the answers about SR and to calculate the average of the student scores.

• The Quality group has the freedom to modify this average score (with a maximum range of +/- 15 points), based on the consideration of the qualitative data of SR.

How to use the MSExcel® fileINPUT

Introduce in the following cells the weights attributed to each stakeholder. Sum of weigths must be equal to 1000.

potential trainees special needs companies customers vocational universities ministry eu

Weights 150 0 350 25 125 100 50 200

neglig. level 0,571428571 1 0 0,928571429 0,642857143 0,714285714 0,857142857 0,428571429Introduce in the following cells the scores (from 1 to 100) attributed to each subindicators for each stakeholder.

potential trainees special needs companies customers vocational universities ministry eu

Competencies 25 50 78 99 18 15 4 98

Declining to future needs 90 80 90 88

Employability 70 15 95 95 80 80

Dropout 70 70

Credits system 80 85 80 80

Introduce in the following cells the scores (from 1 to 100) attributed to SR (Satisfaction Results) and QI (Quality of image).

SR 96

QI 88

9th – to evaluate SR index

-QI- -QI- Data elaboration Data elaboration

Sub-Sub-indicatorsindicators of QI of QI

• Sources of Knowledge

• Trust in the Institute’s image

• Coherence among different sources

• Coherence along years

• Coherence between image and facts

How to evaluate QI?How to evaluate QI?

• It represents the level of satisfaction about the school’s own image.

• The score (0 – 100) is assigned by the Quality group on the reading of the image report.

• The image report assembles a synthesis of the data collected by external stakeholders and trainees about the values associated to the “name of the institution”.

                                                                                                                             

                

                                                                                                                             

                

How to use the MSExcel® fileINPUT

Introduce in the following cells the weights attributed to each stakeholder. Sum of weigths must be equal to 1000.

potential trainees special needs companies customers vocational universities ministry eu

Weights 150 0 350 25 125 100 50 200

neglig. level 0,571428571 1 0 0,928571429 0,642857143 0,714285714 0,857142857 0,428571429Introduce in the following cells the scores (from 1 to 100) attributed to each subindicators for each stakeholder.

potential trainees special needs companies customers vocational universities ministry eu

Competencies 25 50 78 99 18 15 4 98

Declining to future needs 90 80 90 88

Employability 70 15 95 95 80 80

Dropout 70 70

Credits system 80 85 80 80

Introduce in the following cells the scores (from 1 to 100) attributed to SR (Satisfaction Results) and QI (Quality of image).

SR 96

QI 88

10th – to evaluate QI index

What you can obtain What you can obtain from this diagnosis? from this diagnosis?

The resultsThe resultsInputting the evaluation in a simple Excel sheet (contained

in ExPerO HypertextExPerO Hypertext), you will obtain the following:

• A QR table with the re-elaborated data based on stakeholders’ weight.

• Some graphical representations of the model indicators.

• The final graphical model with the re-elaborated scores.

• A direct link with the database of divergences management.

Graphics of resultsGraphics of results

link

96

88

90

Bar diagram/1

Competencies

0

20

40

60

80

100

potentialtrainees

specialneeds

companies customers vocational universities ministry eu

competences

Bar diagram/2

Employability

0

20

40

60

80

100

potentialtrainees

specialneeds

companies customers vocational universities ministry eu

Database of managing Database of managing divergencesdivergences

What happens in front of a gap (not enough)?During ExPerO Project we collected information

about which strategies a school can deal to reduce the analyzed gaps:

collecting best practices already in useinterviewing the school managers

Now all these precious information are collected inside ExPerO HypertextExPerO Hypertext and available for all the schools as suggestions about how to improve.

In Expero2Eu we are going to

transform it in TKBtroubleshootingknowledgebase

Now we will see how the hypertext works step by step with Prof. Marina Adriano

who created it for Expero.