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Learning Gain: An Agenda for Change
Thursday 27th September 2018 @LEGACYLGproject #learninggain
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A comprehensive conceptual framework and measurement instrument
Learning gain A comprehensive conceptual framework and measurement instrument Jan Vermunt, Sonia Ilie & Anna Vignoles, with Ashton Brown & Sara Curran
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Cambridge Strand Aims Develop a context-appropriate theoretical understanding of learning gain Develop and test an instrument to measure learning gain: reliability, validity and at-scale usability Test a longitudinal model of learning gain in relation to student background characteristics and contextual factors
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3,189 2,553 6,275 Qualitative Component
Literature and evidence review Qualitative Component Quantitative Component: Survey Theoretical framework development Interviews: 33 students in 3 universities: 4 subjects undergraduate and postgraduate levels Round 1 6,275 Round 2 3,189 Round 3 2,553 Admin data HESA matching Oct 2016 June 2017 April 2018 Measurement instrument development and testing
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Learning gain “Students’ change in knowledge, skills, attitudes, and values that may occur during higher education across disciplines” Vermunt, Ilie & Vignoles (2018)
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Socio-communicative component
Conceptual framework Cognitive component Critical thinking Analytical thinking Cognitive abilities Synthesising Analysing Evaluating Problem solving Meta-cognitive Self-regulation Life-long learning attitude and motivation Learning to learn Need for cognition (information seeking) Affective Attitudes towards own discipline and learning/studying Motivation Engagement Professional and academic interest Socio-communicative component Levels of belonging in social learning networks Social embeddedness Communication skills View of knowledge dimension | Epistemological beliefs; View of intelligence; Open-mindedness Research dimension | Curiosity; Interest in research; Interest in knowledge; Attitude to sharing ideas Moral dimension | Moral reasoning
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Concept to measurement
Cognitive component Critical processing Relating and structuring Reasoning ability Meta-cognitive Self-regulation Lack of regulation Grit Self-management Affective Emotional engagement Social engagement Socio-communicative component Academic writing practices View of knowledge and learning dimension | Epistemological beliefs Research dimension | Attitude to research
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For more detail on the framework
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What have we learned? Student engagement with learning gain measures is not trivial, but is achievable, through explicit aims, considered timings, and good survey design The measures are on the whole robust, but some aspects continue to remain elusive to measurement (i.e. epistemic beliefs) The measures are user-friendly, with short survey times, even when including the test element, and with returners much more likely to engage fully and completely with the instrument
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Can we capture learning gain?
Yes, across disciplines, we observe change in the skills, abilities, and competencies included in our measurement instrument. This change takes different trajectories for different: Skills, abilities, and competencies Academic disciplines Years of study and stages (undergraduate/postgraduate)
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Example: critical processing of information
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Example: self-management
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What have we achieved? Developed a context-appropriate conceptual framework Developed, tested, and validated a measurement instrument that Draws on the conceptual framework Introduces new measurement tools Is able to capture differential learning gain
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What have we achieved? Explored the patterns of learning gain for different institutions, disciplines, stages, backgrounds, And concluded that the instrument could be effectively used: for local course/programme/module improvement for evidencing this improvement but not as an external accountability tool at the institutional level
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Employability Learning: Measuring the Gain
Dr Nalayini Thambar, The University of Nottingham Eluned Jones, The University of Birmingham Anne Wilson, The University of Warwick Dr Toni Wright, Newman University
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Employability & Learning Gain
“The lifelong capability to make well informed realistic plans for the future and to be ready, willing and able to execute these in a changing world” (Wright, Jones, Thambar, & Wilson 2018, adapted from Gilworth, 2017) The Learning Gain Opportunity: to investigate the impact of a tool which can be used to help students to understand their strengths and apply them to career decision-making and selection processes to investigate ‘Internationalisation’ as a factor in student employability. to develop a tool to help non-career-focussed students to develop career management capability to consider processes which facilitate and limit the role of HEIs in enhancing student employability
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Career Adapt-abilities Strand
The University of Nottingham with the Universities of Birmingham, Bristol, Durham and York, Imperial College and Kings College London
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Career Adaptability “The readiness to cope with the predictable tasks of preparing for and participating in the work role and with the unpredictable adjustments prompted by changes in work and working conditions” (Savickas, 1997 p. 254) Four Career Adapt-abilities Concern - Developing a positive optimistic attitude to the future Control - Exerting a degree of intrapersonal influence on situations Curiosity - Broadening horizons by exploring social opportunities and possibilities Confidence - Believing in oneself and in the ability to achieve a goal CAAS-International validated internationally, large body of literature: CAAS-UK Built the first openly accessible online Career Adaptability survey using CAAS – UK Mixed methodology, longitudinal study
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The online questionnaire
Introduced in partnership with academic colleagues with a further introductory video when students logged in to complete it Translation of Concepts: Concern = Interest in the future Confidence… in developing your career Curiosity = Thinking about your possibilities Control = Shaping yourself and your environment Question to understand student engagement with a range of careers activities Feedback Introduction with overall score and reference to expert careers services Commentary that relates to their overall low, medium or high score Feedback for each Adapt-ability relevant to a low, medium or high score
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Career Adaptability - findings
CAAS-UK Scores Significant difference between mean scores for concern between time 1 (Nov 16) and time 4 (June 18) not for other factors, nor total career adapt- ability Significantly more students have engaged in employability development behaviour at time 4 than time 1 - supports the increase in engagement and positive attitude indicated by difference in concern scores Correlation between career related activity and career adaptability factor scores – significant relationships, small effect sizes Parallel cohorts identified as more engaged showed higher concern and career related activity and lower confidence than original cohorts
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Career Adaptability - findings
Qualitative data Year 1 Specific identified gains from doing the online questionnaire included raising of awareness and prompting thought and action about career-related activity Students were able to identify sources of support and guidance both within and outside their home departments as well as noting that face to face and subject related guidance were seen as preferable Factors which impacted on engagement with both the research and career-related behaviour included varying degrees of interest, incentive, awareness and experience as well as timing of any opportunities.
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Career Adaptability - findings
Qualitative data Year 2 Gains continued to be identified in terms of prompts to thought & action Generally the feedback given by the online questionnaire was seen as helpful although some interviewees felt it could be repetitive and others called for more institutional specificity Relatedness between academic teaching and careers was identified as an issue
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Career Adaptability - outcomes
Learning is not linear Learning can be qualitative and not quantitative Prompt to thought and action Online tool for use by HE sector in future
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International Strand Led by Birmingham in partnership with Cambridge, University College London, Kings College London, Southampton, Exeter and Liverpool
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Internationalisation
Impact of international experience on students’ employability (Wright and Jones, 2014) Study abroad Work abroad On-campus experiences Research suggests internationalisation enhances students’ employability skills (e.g. UUKI, 2017) Qualitative methodology - Semi-structured interviews both pre and post experiences plus subjective quantitative ratings Identify hopes, expectations and self-perceived employability learning gains Identify good practice examples – on campus experiences
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Internationalisation - findings
Take - Phase 2 report Study abroad all pre experience (saturation reached) Three main areas identified in terms of motivation and hoped for gains: academic related, employability related, personal development Work abroad all pre experience (saturation) Employability gains -Extrinsic factors (CVs and experience) were mentioned, but personal devpt gains intrinsic motivations were more frequent and more emphasised in the accounts. Hoped for gains tended to match global competencies in the literature (Diamond et al, 2011) but were not necessarily related to employability by participants On-campus experience Pre - saturation Reasons for not undertaking international experience tend to suggest risk averse behaviour. Importance of international competency emphasised For those who have post interviews (not complete) Despite no reported change in quantitative perception of global competencies (op cit), all reported a perceived positive impact (even if only slight) on at least one competency post experience. When the individual transcripts are more closely examined two patterns seem to emerge. A minority of participants give lower self rating scores post experience, having learned that they did not know as much as they thought they did, and a larger group whose self-ratings remained largely static.
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Internationalisation - findings
Take - Phase 2 report Study abroad all pre experience (saturation reached) Three main areas identified in terms of motivation and hoped for gains: academic related, employability related, personal development Work abroad all pre experience (saturation) Employability gains -Extrinsic factors (CVs and experience) were mentioned, but personal devpt gains intrinsic motivations were more frequent and more emphasised in the accounts. Hoped for gains tended to match global competencies in the literature (Diamond et al, 2011) but were not necessarily related to employability by participants On-campus experience Pre - saturation Reasons for not undertaking international experience tend to suggest risk averse behaviour. Importance of international competency emphasised For those who have post interviews (not complete) Despite no reported change in quantitative perception of global competencies (op cit), all reported a perceived positive impact (even if only slight) on at least one competency post experience. When the individual transcripts are more closely examined two patterns seem to emerge. A minority of participants give lower self rating scores post experience, having learned that they did not know as much as they thought they did, and a larger group whose self-ratings remained largely static.
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Internationalisation - findings
Take - report Study abroad all pre experience (saturation reached) Three main areas identified in terms of motivation and hoped for gains: academic related, employability related, personal development Work abroad all pre experience (saturation) Employability gains -Extrinsic factors (CVs and experience) were mentioned, but personal devpt gains intrinsic motivations were more frequent and more emphasised in the accounts. Hoped for gains tended to match global competencies in the literature (Diamond et al, 2011) but were not necessarily related to employability by participants On-campus experience Pre - saturation Reasons for not undertaking international experience tend to suggest risk averse behaviour. Importance of international competency emphasised For those who have post interviews (not complete) Despite no reported change in quantitative perception of global competencies (op cit), all reported a perceived positive impact (even if only slight) on at least one competency post experience. When the individual transcripts are more closely examined two patterns seem to emerge. A minority of participants give lower self rating scores post experience, having learned that they did not know as much as they thought they did, and a larger group whose self-ratings remained largely static.
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Mean rating differences:
Internationalisation - findings Mean rating differences: Competence On campus Study Abroad Work Abroad Mean rating difference P Ability to work in diverse teams +.10 NS +.59 <.001 +.50 .001 Communication skills +.17 +.69 +.79 Drive and resilience +.11 +.46 +.38 <.05 Ability to appreciate the point of view of someone who is different to you +.14 +.53 +.76 Ability to learn new things and adapt to the situation +.19 +.42 <.005 +.40 Self-Awareness <0.01 +.45 +.73
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Outcomes Provide the sector with better evidence on what students believe they gain from international experience Use evidence to better design and promote international experiences Help create enhanced pre-experience preparatory resources and post-experience reflection Help to identify activities and approaches that enhance employability learning gain from on-campus opportunities
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Anne Wilson, Head of Careers University of Warwick
R2 Strengths Anne Wilson, Head of Careers University of Warwick Supported by: Dr Heike Behle, University of Warwick Quantitative Research Arianna Tassinari, PhD student University of Warwick Qualitative Research
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R2 Strengths Does the intervention of an R2 Strengths profile measure development of Finalist Undergraduate: Self-awareness Confidence Self-efficacy Career readiness
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R2 4M Strengths Model
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What worked well? Qualitative interviews highlighted the value of 1-1 feedback with a Strengths trained careers adviser.
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What worked less well?
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Learning Gain? ‘There are known knowns. There are things we know that we know. There are known unknowns. That is to say, there are things we know we don’t know. But there are also unknown unknowns. There are things we don’t know we don’t know.’ Donald Rumsfeld.
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Scalability
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Going forward? Building Strengths into a University award
Training more staff Recruiter involvement Online resources and a quiz Card sort activities Staff team training Workshops using cards on the Jobmi report WP project funding with Strengths Targeted profiles to female students on ‘Sprint’ Focused activity on smaller departments where DLHE/GO need improvement
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Know yourself Explore Decide Action In summary:
Strengths clearly has value when used 1-1 with students Learning Gain is not linear but iterative R2 Strengths could be scalable to a limited extent depending though the personal nature of the learning gained means There is a risk with Learning Gain if we’re not careful that we attempt to hit the target but miss the point. There can be real richness in personal learning- but that this is not cheap- and the quantitative approach to measuring learning gain with this project does not capture the complexity of employability learning (see diagram)
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Employability Framework
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Employability Framework
Enabling Support Factors Individual Circumstances Individual Factors Local & National Labour Market Factors Employability Degree Life/ Work experience Extra-curricular communities of practice Awareness Transferable Skills Personal Qualities, Efficacy, Self-beliefs Meta-Cognition Skilful Practice Subject Understanding Individual factors – skills Basic skills, Soft skills, ‘employability skills’, subject-specific skills Other Individual factors Person-centred factors (which HEI? Class of degree?), subjective employability, Adaptability and mobility Individual circumstances Work culture, Regional factors, Networks, Transitions Labour Market Factors Labour Demand, Rules and Regulations, Employers’ practices Enabling factors Labour Market Policy, Human Resource management, education and training - changing labour market and skills requirement - careers guidance Wright & Behle, 2018 (adapted from Wright, 2017 & Green et al, 2013)
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Employability Framework
HEIs can enhance student employability learning gain through the course studied, enriching life and work experience, and by encouraging engagement in and provision of extra-curricular communities of practice. This process tends to be facilitated via what we have described as enabling support factors e.g. awareness and skills enhancement but is limited by other factors such as individual circumstances and local and national labour market factors
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References Gilworth, R (2017) ‘Let’s start from where you are’ Impact and implications of Careers Registration. LEGACY Seminar: Exploring Learning Gain in Higher Education. 8 February 2017, University of Nottingham Green, A., de Hoyos, M., Barnes, S., Owen, D., Baldauf, B., & Behle, H. (2013) Literature Review on Employability, Inclusion and ICT, Report 1: The Concept of Employability with a Specific Focus on Young People, Older Workers and Migrants. JRC Technical Report, European Union: Luxembourg. Retrieved from: technical-research-reports/literature-review-employability-inclusion-and-ict-report-1-concept- employability-specific Savickas, M. L. (1997). "Career adaptability: An integrative construct for life‐span, life‐space theory." The Career Development Quarterly, 45(3): UUKI (2017) Gone International: Mobility Works. London: Universities UK International Wright, T., and Jones, E. (2014) Student International Experience and Perceived Employability Gains, Retrieved from: Wright, T. & Jeffries-Watts, S. (2017). Does it do what it says on the tin?– Evaluation of an established UK university employability award. Journal of Teaching and Learning for Graduate Employability, 8(1), For further information
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