petri nokelainen university of tampere research centre for vocational education finland

67
[email protected] 1 / 61 CHARACTERISTICS OF VOCATIONAL EXCELLENCE: CASE STUDY WITH FINNISH WORLD SKILLS COMPETITION PARTICIPANTS Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

Upload: kurt

Post on 19-Mar-2016

44 views

Category:

Documents


0 download

DESCRIPTION

CHARACTERISTICS OF VOCATIONAL EXCELLENCE: CASE STUDY WITH FINNISH WORLD SKILLS COMPETITION PARTICIPANTS. Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland. Research team. Adjunct professor Petri Nokelainen Professor Pekka Ruohotie - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 1 / 61

CHARACTERISTICS OF VOCATIONAL EXCELLENCE: CASE STUDY WITH

FINNISH WORLD SKILLS COMPETITION PARTICIPANTS

Petri Nokelainen

University of TampereResearch Centre for Vocational Education

Finland

Page 2: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 2 / 61

Research team

Adjunct professor Petri NokelainenProfessor Pekka RuohotieAdjunct professor Kari Korpelainen

Reija PalttalaMika PuukkoMarkku Tasala

Page 3: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 3 / 61

Acknowledgements

The study was funded by a grant from Finnish Ministry of Education.

Authors would like to thank all Finnish 2007 Shizuoka and 2009 Calgary team members, Immo Pylvänen, Eija Alhojärvi, Heikki Saarinen, Seija Rasku, Mika Tammilehto, Atte Airaksinen, Juha Minkkinen, Matti Kauppinen, Martti Majuri, Tuomas Eerola, Timo Lankinen, Veijo Hintsanen, Hannu Immonen among others for their invaluable support.

Page 4: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 4 / 61

Outline

• ”Modeling of Vocational Excellence” (MoVE, 2007 – 2009)– Background– Results (interview and survey)

• ”Actualizing Vocational Excellence” (AVE, 2009 – 2011)– Background– Initial results (survey)

Page 5: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 5 / 61

Introduction

• A two-year (2007-2008) “Modeling of Vocational Excellence” (MoVE) project was funded by the Finnish Ministry of Education.

• During the study, a sample of Finnish World Skills Competition (WSC) participants (2005 Helsinki, Finland and 2007 Shitsuoka, Japan), their personal trainers, working life representatives and parents (total n = 67) was collected.

Page 6: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 6 / 61

Introduction

• Semi-structured interview was carried out to answer the following research questions:

(1) What characteristics specify WSC participants?

(2) How the WSC participants’ characteristics differ during training period, competitions and working life?

(3) What characteristics specify WSC participants’ initial interest towards the work field, perseverance in acquiring a vocational skill and mastery of the skill?

(4) What characteristics specify WSC participants’ employer?

Page 7: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 7 / 61

Introduction

• Survey was carried out to answer the following research questions:

(5) What are the WSC participants’ most essential natural abilities?

(6) What are the WSC participants’ most essential self-regulatory abilities?

(7) What is the influence of home and school atmosphere to the WSC participants talent development?

Page 8: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 8 / 61

Theoretical framework

• Bloom: Talent development taxonomy (1985).• Ericsson: Development of expertise (1993, 2006).• Gagné: Differentiated Model of Giftedness and

Talent (2004).• Gardner: Multiple Intelligences (1983, 1993, 1999).• Greenspan, Solomon & Gardner: Cognitive and

social skills on talent development (2004).• Pintrich: Intrinsic and extrinsic goal orientations,

control and efficacy beliefs (2000).• Midgley et al.: Patterns of adaptive learning (2000).• Zimmerman: Sociocognitive approach to self-

regulation (1998, 2000).• Weiner: Attributions for success and failure (1986).

Page 9: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 9 / 61

Theoretical framework: Gardner’s Multiple Intelligences Theory (1983)

(1) Linguistic intelligence(2) Logical-mathematical intelligence(3) Musical intelligence(4) Spatial intelligence(5) Bodily-kinesthetic intelligence(6) Interpersonal intelligence(7) Intrapersonal intelligence ---(8) Spiritual intelligence(9) Environmental intelligence

Page 10: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 10 / 61

Theoretical framework: Adaptation of Zimmerman’s Self-regulation Model (Zimmerman, 1998; Nokelainen, 2008)

Page 11: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 11 / 61

Theoretical framework: Differentiated Model for Giftedness and Talent (DMGT) (Gagné, 2004)

Page 12: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 12 / 61

Theoretical framework: Causal order of components in DMGT(Nokelainen & Ruohotie, 2009; Tirri & Nokelainen, in press)

Page 13: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 13 / 61

Method: Participants

• Four Finnish WSC 2005 medalists and four WSC 2007 participants (n = 8) were interviewed – Six males (Mage = 21 years) and two females (Mage = 20

years) in addition to their trainers, working life

representatives and parents (n = 22). • WSC participants in this study represent four skill

categories, which are linked to the Multiple Intelligence theory (Gardner, 1983): – IT/Software Applications (logical-mathematical).– Web Design (spatial, logical-mathematical).– Plumbing (bodily-kinesthetic, spatial).– Beauty Therapy (interpersonal, bodily-kinesthetic,

spatial).

INTERVIEW

Page 14: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 14 / 61

Method: Participants

• Finnish Shitsuoka team (n = 25) – 16 males and nine females (Mage = 22 years)

and their parents (n = 12) responded to surveys. • WSC participants represent 20 skill categories,

which are linked to the MI theory, for example: – Landscaping (environmental, bodily-kinesthetic,

spatial). – Floristry (environmental, spatial).– Polymechanics, IT/Software Applications

(logical-mathematical, spatial).– Nursing, Beauty Therapy (interpersonal, bodily-

kinesthetic).

SURVEY

Page 15: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 15 / 61

Method: Instrument

• Textual empirical data was collected in 2007 with a semi-structured interview.

• The interview concentrated on two major aspects: 1. Influence of self-regulation and cognitive and

social skills on talent development (Greenspan, Solomon & Gardner, 2004; Zimmerman, 1998).

2. Importance of intrinsic and extrinsic motivation in initial participation to the training, perseverance and mastery of the skill (Bloom, 1985).

INTERVIEW

Page 16: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 16 / 61

Method: Instrument

• Numerical empirical data was collected in 2007 with the following self-rating instruments: – Multiple Intelligences Profiling Questionnaire

(MIPQ III, Tirri, K., Komulainen, Nokelainen & Tirri, H., 2003; Tirri & Nokelainen, 2008).

– Abilities for Professional Learning Questionnaire (APLQ, Nokelainen & Ruohotie, 2002).

– Self-attitudes and Attributes Scales (SaaS, Campbell, 1996; Campbell, Tirri, Ruohotie & Walberg, 2004).

– Family and School Influences Questionnaire (FA, SA, Campbell, 1996).

SURVEY

Page 17: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 17 / 61

Method: Design

• The measurement model is described in Figure 1. – The boxes that have a green dotted borderline,

represent qualitative methods (semi-structured interview) that operationalize both the influence of non-domain and domain specific individuals and trainee’s affective, conative, social and cognitive constructs in the model.

– The boxes that have a blue squared borderline, represent quantitative methods (APLQ, SaaS and MIPQ surveys) that operationalize affective, conative, social and cognitive constructs in the model.

Page 18: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 18 / 61

Page 19: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 19 / 61

Page 20: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 20 / 61

Results: Interview

1. What characteristics specify a successful WSC participant?

Page 21: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 21 / 61

Results: Interview1. Self-reflection (stress tolerance)

• Mental training2. Volition (perseverance, time management skills)

• Total mastery of work skills3. Cognitive skills (development potential)

• Shift from uncontrollable to controllable attributions4. Extrinsic goal-orientation (competitiveness,

ambition)• Promotion of advances of competitions for future career

5. Intrinsic goal-orientation (interest towards work)• Meaningful training tasks, interesting artifacts,

home/teacher support6. Social skills

• Collaborative tasks during training

Page 22: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 22 / 61

Results: Interview

WSC PARTICIPANT

Page 23: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 23 / 61

Results: Interview– Important role of self-regulation was theoretically

expected, as it separates experts from workers (Day, Arthur & Gettman, 2001; Pillay, 1998; Ruohotie, 2004).

– Results are parallel to findings from US Olympic Champions research (Gould, Dieffenbach & Moffett, 2001) and international study of Academic Olympians in Mathematics, Physics and Chemistry (Campbell, Tirri, Ruohotie & Walberg, 2004; Heller & Lengfelder, 2000; Wu & Chen, 2001).

– Small role of social skills was an expected finding as the four skill categories (IT/Software Applications, Web Design, Plumbing, Beauty Therapy) involved individual competition tasks.

Page 24: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 24 / 61

Results: Interview

2. How the WSC participants’ characteristics differ during training period, competitions and working life?

Page 25: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 25 / 61

Results: Interview1. Volitional characteristics were found to be the

most important in all three career stages.2. Cognitive skills and self-reflection were

equally important in all three career stages.3. The role of social skills was strongest in

working life. • As the role of social skills is important for career

development, this is one possible development target for vocational schools/institutions.

4. Results showed only minor differences between intrinsic and extrinsic goal-orientations.

• It should be remembered that motivation is a prerequisite for volition.

Page 26: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 26 / 61

Results: Interview

TRAINING COMPETITION

WORKING LIFE

Page 27: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 27 / 61

Results: Interview

3. What characteristics specify WSC participants’

a) initial interest towards the work field,

b) perseverance in acquiring a vocational skill and

c) mastery of the skill?

Page 28: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 28 / 61

Results: Interview1. Institutional and trainers’ support are

important throughout the three skill acquisition stages.

2. Intrinsic goal-orientation is more important at the initial stage than extrinsic goal-orientation, but the roles change during training process (perseverance).

• Theoretically plausible result.3. Importance of motivational aspects decrease

towards the mastery level.• International research has not been successful

showing causal relationship between motivational aspects and learning outcomes.

4. Future work security and possibilities play an important role at the mastery level.

5. Role of social skills stay quite small and stable throughout the process.

Page 29: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 29 / 61

Results

Page 30: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 30 / 61

Results: Interview

4. What characteristics specify WSC participants’ employer?

Page 31: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 31 / 61

Results: Interview

1. Challenging work tasks2. Freedom and responsibility3. Logical and fair leadership4. Acknowledgement of life long learning5. Competitive salary

Page 32: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 32 / 61

Results: Survey

5. What are the WSC participants’ most essential natural abilities?

Intelligences in MI theory:(1) Linguistic, (2) Logical-mathematical, (3) Musical, (4) Spatial, (5) Bodily-kinesthetic, (6) Interpersonal, (7) Intrapersonal,(8) Spiritual,(9) Environmental.

Page 33: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 33 / 61

Results: Survey

1. Bodily-kinesthetic intelligence2. Interpersonal intelligence3. Mathematical-logical intelligence4. Environmental intelligence5. Spatial intelligence6. Intrapersonal intelligence

Where the ’A’ group differs from the ’C’ group:1. Intrapersonal intelligence (‘A’ higher)2. Spiritual intelligence (‘A’ higher)3. Environmental intelligence (‘A’ higher)4. Interpersonal intelligence (‘A’ higher)

Page 34: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 34 / 61

Results: Survey

6. What are the WSC participants’ most essential self-regulatory abilities?

Motivational factors:(1) Intrinsic goal orientation, (2) Extrinsic goal orientation, (3) Meaningfulness of studies,(4) Control beliefs,(5) Self-efficacy,(6) Test anxiety.

Attributional factors:(1) Success due effort, (2) Success due ability, (3) Failure due effort,(4) Failure due ability.

Page 35: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 35 / 61

Results: Survey

1. Intrinsic goal orientation (deep level learning)2. Control beliefs (success due effort)

• Problem or inquiry based learning, authentic learning tasks.

Where the ’A’ group differs from the ’C’ group:1. Higher internal goal orientation2. Effort was more important for success than ability.

Page 36: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 36 / 61

Results: Survey

7. What is the influence of home and school atmosphere to the WSC participants talent development?

Page 37: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 37 / 61

Results: Survey

1. Home and school atmospheres are equally important for the development of vocational talent.

2. Very few negative experiences were reported.

• Teacher/trainer/mentor has an important role in supporting WSC participants talent development process: – Predictive modeling showed a positive

relationship between supportive home/school atmosphere and success in World Skills competition.

Page 38: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 38 / 61

Outline

• ”Modeling of Vocational Excellence” (MoVE, 2007 – 2009)– Background– Results (interview and survey)

• ”Actualizing Vocational Excellence” (AVE, 2009 – 2011)– Background– Initial results (survey)

Page 39: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 39 / 61

Current research

• ”Actualizing Vocational Excellence” (AVE, 2009 – 2011) project is funded by the Finnish Ministry of Education.

• Major goals are– to extend the MoVE study to cover 10-12 WSC

competition areas (both analyzed with qualitative and quantitative methods)

– to study life management and work ethics together with participant’s level of innovativeness and entrepreneurship

– to investigate WSC competitors success in working life

• control group is included for all abovementioned areas

Page 40: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 40 / 61

Research questions

• Interview1. What characteristics specify WSC participants? 2. What life management skills specify WSC

participants? 3. What is the level of moral thinking (work

ethics) of WSC participants? 4. What is the level of innovativeness and

entrepreneurship of WSC participants?

Page 41: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 41 / 61

Research questions

• Interview5. How the WSC participants’ characteristics differ

during training period, competitions and working life?

6. What characteristics specify WSC participants’ initial interest towards the work field, perseverance in acquiring a vocational skill and mastery of the skill?

7. What characteristics specify WSC participants’ employer?

8. How WSC participants' know-how meets the expectations of working life and how their potential is actualized?

Page 42: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 42 / 61

Research questions

• Survey9. What are the WSC participants' most essential

natural abilities? (MIPQ III)10. What are the WSC participants’ most essential

self-regulatory factors? (APLQ, PALS)11. What are the WSC participants’ most essential

life management skills? (CMSRVE)12. What are the WSC participants’ most essential

ethical sensitivity skills? (MOJVE)13. What is the influence of home and school

atmosphere to the development of vocational expertise?

Page 43: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 43 / 61

DesignInterview Survey

RQ 1 x x (Survey 6) CharacteristicsRQ 2 (RQ 11)x x (Survey 10*) Life managementRQ 3 (RQ 12)x x (Survey 3) Work ethicsRQ 4 x x (Survey 5) Innovativeness and

EntrepreneurshipRQ 5 x Training, Competition and

Working lifeRQ 6 (RQ 13)x x (Survey 4) Extrinsic factorsRQ 7 x Employer characteristicsRQ 8 x Working life competencies--------------------------------------------------------------------------------------------------RQ 9 x (Survey 2) Multiple intelligencesRQ 10 x (Surveys 7 & 8) MotivationRQ 11 x - (Survey 10*) Life managementRQ 12 x x (Survey 3) Work ethicsRQ 13 x x (Survey 4) Extrinsic factors

* To be completed in 2010

Page 44: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 44 / 61

Current phase of the AVE project

Interview• 14 interviews conducted, analysis in progress.

– 2009 Calgary participants (n=6), trainers (n=4) and experts (n=4).

• 15 interviews in progress.– Finnish WSC medalists who have more than two

year work experience after the competition.• Six gold, one silver and nine bronze medals from

Helsinki 2005 and Shizuoka 2007 competitions. – Control group (similar age and work experience,

no WSC training).– WSC medalist’s employers.

Page 45: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 45 / 61

Current phase of the AVE project

Survey• 41 Calgary team members responded to a survey in

2009.– Age mean 20.2 years and standard deviation 1.47

years.– 29 (70.7%) males and 12 (29.3%) females.– Some parts of the survey are comparable to

earlier presented Shizuokan 2007 team survey (N=23).

• Control group survey is in progress.

Page 46: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 46 / 61

Initial survey results

• Success in middle school does not predict vocational skill competition success.– Negative correlation was found between middle

school math, native language, first foreign language, religion, music and handicraft marks and skill competition success.

• Only exception was a zero correlation with middle school sports mark.

– The finding is plausible as those subject domains are general, not specific to vocational skills.

Page 47: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 47 / 61

Initial survey results

• Success in vocational studies predict vocational skill competition success.– Positive correlation (r = .41) was found between

vocational school average mark and skill competition success.

• Controlling for age or gender did not change the result.

– If skills needed in competitions represent real working life skills, one may further conclude that success in vocational studies predicts initial level of vocational expertise.

• Limitations: Small sample, difference between competition and working life skills.

Page 48: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 48 / 61

Initial survey results

9. What are the WSC participants' most essential natural abilities?

Multiple Intelligences theory:(1) Linguistic, (2) Logical-mathematical, (3) Musical, (4) Spatial, (5) Bodily-kinesthetic, (6) Interpersonal, (7) Intrapersonal,(8) Spiritual,(9) Environmental.

Page 49: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 49 / 61

Initial survey results

1. Bodily-kinesthetic intelligence - Dominant in most skill areas, important in all skill areas.

2. Mathematical-logical intelligence3. Spatial intelligence4. Intrapersonal intelligence

Where the ’A’ group differs from the ’C’ group:1. Linguistic intelligence (‘A’ higher)2. Interpersonal intelligence (‘A’ higher)

Page 50: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 50 / 61

Initial survey results

ANOVAb

10,466 9 1,163 1,910 ,072a

29,839 49 ,60940,305 58

RegressionResidualTotal

Model1

Sum ofSquares df Mean Square F Sig.

Predictors: (Constant), MIPQ Environmental, MIPQ Musical, MIPQMathematical-logical, MIPQ Linguistic, MIPQ Intrapersonal, MIPQ Interpersonal,MIPQ Bodily-Kinesthetic, MIPQ Spatial, MIPQ Spiritual

a.

Dependent Variable: kilpailumenestysb.

Coefficientsa

-,126 ,901 -,140 ,889,295 ,153 ,299 1,923 ,060

,061 ,145 ,068 ,417 ,678

-,204 ,101 -,267 -2,017 ,049,008 ,217 ,006 ,037 ,971,345 ,177 ,310 1,954 ,056,212 ,138 ,238 1,543 ,129

-,010 ,178 -,010 -,057 ,955,211 ,193 ,200 1,094 ,279

-,273 ,153 -,293 -1,781 ,081

(Constant)MIPQ LinguisticMIPQMathematical-logicalMIPQ MusicalMIPQ SpatialMIPQ Bodily-KinestheticMIPQ InterpersonalMIPQ IntrapersonalMIPQ SpiritualMIPQ Environmental

Model1

B Std. Error

UnstandardizedCoefficients

Beta

StandardizedCoefficients

t Sig.

Dependent Variable: kilpailumenestysa.

The sample is too small, not enough power.R2=12.4%

Page 51: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 51 / 61

Initial survey results

10. What are the WSC participants’ most essential self-regulatory factors?

Motivational factors:(1) Internal goal orientation, (2) External goal orientation, (3) Meaningfulness of studies,(4) Control beliefs,(5) Self-efficacy,(6) Test anxiety.

Patterns of Adaptive Learning Scales:(1) Mastery Goal Orientation, (2) Performance-Approach Goal Orientation, (3) Performance-Avoidance Goal

Orientation.

Page 52: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 52 / 61

Initial survey results

1. Meaningfulness of studies (studies will benefit future work career)

2. Extrinsic goal orientation (need for positive feedback from others, ambition)

3. Intrinsic goal orientation (mastery of the skill is a satisfying experience)

4. Efficacy beliefs (success due ability)5. Control beliefs (success due effort)

Page 53: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 53 / 61

Initial survey results

Where the ’A’ group differs from the ’C’ group*:1. All motivational factors, except test anxiety,

were higher in the ‘A’ group.2. Test anxiety was higher in the ’C’ group.

* Combined sample of Shizuoka and Calgary, N = 64

Page 54: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 54 / 61

Initial survey resultsThe sample is too small, not enough power.R2=0%

ANOVAb

2,204 6 ,367 ,501 ,804a

38,101 52 ,73340,305 58

RegressionResidualTotal

Model1

Sum ofSquares df Mean Square F Sig.

Predictors: (Constant), AL MOT Test anxiety, AL MOT Meaningfulness of studies, ALMOT Control beliefs, AL MOT Extrinsic goal orientation, AL MOT Intrinsic goalorientation, AL MOT Efficacy beliefs

a.

Dependent Variable: kilpailumenestysb.

Coefficientsa

,907 1,164 ,779 ,439

,048 ,211 ,037 ,227 ,822

,168 ,177 ,157 ,949 ,347

,129 ,233 ,089 ,552 ,584

,143 ,223 ,107 ,639 ,526-,118 ,221 -,093 -,536 ,594-,094 ,147 -,100 -,640 ,525

(Constant)AL MOT Intrinsic goalorientationAL MOT Extrinsic goalorientationAL MOT Meaningfulnessof studiesAL MOT Control beliefsAL MOT Efficacy beliefsAL MOT Test anxiety

Model1

B Std. Error

UnstandardizedCoefficients

Beta

StandardizedCoefficients

t Sig.

Dependent Variable: kilpailumenestysa.

Page 55: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 55 / 61

Initial survey results

10. What are the WSC participants’ most essential self-regulatory factors?

Volitional factors:(1) Perseverance(2) Time management

Page 56: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 56 / 61

Initial survey results

• Metacognitive strategies during studies (perseverance, concentration, determinance)

• Time and resource management strategies (methodicalness)

Where the ’A’ group differs from the ’C’ group*:1. ‘A’ group had better time and resource

management skills.

* Combined sample of Shizuoka and Calgary, N = 64

Page 57: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 57 / 61

Initial survey resultsThe sample is too small, not enough power.R2=0.5%

ANOVAb

3,471 2 1,736 2,639 ,080a

36,834 56 ,65840,305 58

RegressionResidualTotal

Model1

Sum ofSquares df Mean Square F Sig.

Predictors: (Constant), AL STR Time and resource management, AL STRMetacognitive strategies in studies

a.

Dependent Variable: kilpailumenestysb.

Coefficientsa

,920 ,740 1,243 ,219

,555 ,243 ,358 2,285 ,026

-,219 ,194 -,177 -1,129 ,264

(Constant)AL STR Metacognitivestrategies in studiesAL STR Time andresource management

Model1

B Std. Error

UnstandardizedCoefficients

Beta

StandardizedCoefficients

t Sig.

Dependent Variable: kilpailumenestysa.

Page 58: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 58 / 61

Initial survey results

1. Mastery Goal Orientation (development of competence is important, learning is interesting, focus is on the task)

2. Performance-Approach Goal Orientation (show others, focus is on the self)

3. Performance-Avoidance Goal Orientation (avoidance of embarrassment, focus is on the self)

Where the ’A’ group differs from the ’C’ group:1. The ’A’ group was more mastery and performance-

approach oriented than the ’C’ group.2. The ‘C‘ group was clearly more performance-avoidance

oriented than the ‘A’ group.

Page 59: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 59 / 61

Thank you!

For more information, please contact:• [email protected]

– MoVE –project (2007 – 2008) http://www.uta.fi/aktkk/projects/move

– AVE –project (2009 – 2011) http://www.uta.fi/aktkk/projects/ave

Page 60: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 60 / 61

References

• Bloom, B. S. (Ed.) (1985). Developing talent in young people. New York: Ballantine Books.

• Boekaerts, M., & Niemivirta, M. (2000). Self-regulation in learning: finding a balance between learning and ego-protective goals. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-regulation (pp. 417-450). San Diego, CA: Academic Press.

• Campbell, J. R. (1996). Developing cross-national instruments: Using cross-national methods and procedures. International Journal of Educational Research, 25(6), 485-496.

• Day, E. A., Arthur, W., & Gettman, D. (2001). Knowledge structures and the acquisition of a complex skill. Journal of Applied Psychology, 86, 1022-1033.

• Driscoll, M. (2005). Psychology of learning for instruction. Third edition. Toronto, ON: Allyn & Bacon.

Page 61: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 61 / 61

References

• Gagné, F. (2004). Transforming gifts into talents: the DMGT as a developmental theory. High Ability Studies, 15(2), 119-147.

• Gardner, H. (1983). Frames of mind. New York: Basic Books.

• Gould, D., Dieffenbach, K., & Moffett, A. (2001). Psychological talent in Olympic medal winning athletes. US Olympic Committee Sport Science and Technology Final Grant Report. Colorado Springs, CO.

• Greenspan, D. A., Solomon, B., & Gardner, H. (2004). The development of talent in different domains. In L. V. Shavinina & M. Ferrari (Eds.), Beyond knowledge (pp.119-135). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.

Page 62: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 62 / 61

References

• Heider, F. (1958). The psychology of interpersonal relationships. New York: Wiley.

• Heller, K., & Lengfelder, A. (2000, April). German Olympiad study on mathematics, physics and chemistry. Paper presented at the annual meeting of American Educational Research Association, New Orleans, USA.

• Limón Luque, M. L. (2003). The role of domain-specific knowledge in intentional conceptual change. In G. M. Sinatra, & P. R. Pintrich (Eds.), Intentional Conceptual Change (pp. 133–170). Mahwah, NJ: Lawrence Erlbaum Associates.

• Malmivuori, M.-L. (2006). Affect and Self-Regulation. Educational Studies in Mathematics, 63(2), 149-164.

• Midgley, C., Maehr, M. L., Hruda, L. Z., Anderman, E., Anderman, L., Freeman, K. E., Gheen, M., Kaplan, A., Kumar, R., Middleton, M. J., Nelson, J., Roeser, R., & Urdan, T. (2000). Manual for the Patterns of Adaptive Learning Scales (PALS). University of Michigan.

Page 63: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 63 / 61

References

• Nokelainen, P. (2008). Modeling of Professional Growth and Learning: Bayesian approach. Tampere, Finland: Tampere University Press.

• Nokelainen, P., & Ruohotie, P. (2002). Modeling Student’s Motivational Profile for Learning in Vocational Higher Education. In H. Niemi & P. Ruohotie (Eds.), Theoretical Understandings for Learning in the Virtual University (pp. 177-206). Hämeenlinna, Finland: RCVE.

• Nokelainen, P., Ruohotie, P., & Korpelainen, K. (2008, September). Modeling of Vocational Excellence (MoVE) - A Case Study of Finnish World Skills Competition Participants. Paper presented at the European Conference on Educational Research, Gothenburg, Sweden.

• Nokelainen, P., Tirri, K., Campbell, J. R., & Walberg, H. (2007). Factors that Contribute or Hinder Academic Productivity: Comparing two groups of most and least successful Olympians. Educational Research and Evaluation, 13(6), 483-500.

Page 64: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 64 / 61

References

• Nokelainen, P., Tirri, K., & Merenti-Välimäki, H.-L. (2007). The Influence of Self-attributions and Parental Attitude to the Development of Mathematical Talent. Gifted Child Quarterly, 51(1), 64-81.

• Pillay, H. (1998). Adult learning in a workplace context. In P. Sutherland (Ed.), Adult Learning: a Reader (pp. 122-136). London: Kogan Page.

• Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 451-502). San Diego: Academic Press.

• Ruohotie, P. (2003). Self-Regulatory Abilities for Professional Learning. In B. Beairsto, M. Klein, & P. Ruohotie (Eds.), Professional Learning and Leadership. Hämeenlinna, Finland: RCVE.

• Ruohotie, P. (2004). Self-regulatory Abilities in Professional Learning. In J. R. Campbell, K. Tirri, P. Ruohotie, & H. Walberg (Eds.), Cross-cultural Research: Basic Issues, Dilemmas, and Strategies (pp. 159-184). Hämeenlinna, Finland: RCVE.

Page 65: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 65 / 61

References

• Ruohotie, P. (2005). Ammatillinen kompetenssi ja sen kehittäminen. Ammattikasvatuksen aikakauskirja, 7(3), 4-18.

• Ruohotie, P., & Nokelainen, P. (2000). Beyond the Growth-oriented Atmosphere. In B. Beairsto & P. Ruohotie (Eds.), Empowering Teachers as Lifelong Learners (pp. 147–167). Hämeenlinna: RCVE.

• Schunk, D. H., & Ertmer, P. A. (2000). Self-regulation and academic learning. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 631-650). San Diego, CA: Academic Press.

• Tirri, K., Komulainen, E., Nokelainen, P., & Tirri, H. (2003, April). Gardner's Theory Applied to Model a Self-Rated Intelligence Profile. Paper presented at the annual meeting of the American Educational Research Association, Multiple Intelligences SIG, Chicago, USA.

Page 66: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 66 / 61

References

• Tirri, K., & Nokelainen, P. (2008). Identification of multiple intelligences with the Multiple Intelligence Profiling Questionnaire III. Psychology Science Quarterly, 50(2), 206-221.

• Tirri, K., & Nokelainen, P. (In press). The influence of self-perception of abilities and attribution styles on academic choices: Implications for gifted education. To appear in Roeper Review.

• Weiner, B. (1986). An attributional theory of motivation and emotion. New York: Springer.

• Williams, AR. S. (2002). Managing Employee Performance. London: Thomson Learning.

• Wu, W., & Chen, J. (2001). A follow-up study of Taiwan physics and chemistry Olympians: The role of environmental influences in talent development. Gifted and Talented International, 16(1), 16-26. 

Page 67: Petri Nokelainen University of Tampere Research Centre for Vocational Education Finland

[email protected] 67 / 61

References

• Zimmerman, B. J. (1998). Developing self-fulfilling cycles of academic regulation: An analysis of exemplary instructional models. In D. H. Schunk & B. J. Zimmerman (Eds.), Self-Regulated Learning: From Teaching to Self-Reflective Practice (pp. 1-19). New York: The Guilford Press.

• Zimmerman, B. J. (2000). Attaining self-regulation. A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13-39). San Diego: Academic Press.