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Defining and Assessing Desired Learning Outcomes

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Using Data to Improve Student Learning

Part of the book series: The Enabling Power of Assessment ((EPAS,volume 9))

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Abstract

What data on learning are needed depends on what learning outcomes are expected. In this chapter, two recently influential perspectives on learning outcomes are considered: research on the brain (neuroscience); and research on the demands of the information age. Desirable learning for the information age can be categorised in terms of domains of knowledge as well as various 21st century competencies: ICT-related competencies, conceptual knowledge competencies, cognitive competencies, metacognitive competencies, personal competencies, and interpersonal competencies. Implications for the collection of assessment data on student learning are considered and point to the need for assessment reform.

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Notes

  1. 1.

    The classic treatment of this was the 1939 fable by J. Anton Peddiwell (pseudonym for Harold R.W. Benjamin) in the book The Saber-tooth Curriculum (republished by McGraw-Hill in 2004). In this moral tale, the young are taught three things necessary at the time for the success of the tribe: fish-grabbing-with-bare hands; horse-clubbing; and sabre-tooth tiger-scaring-with-fire. But, even when climate change makes these practically useless, and the necessary skills become using-nets-to-catch-fish, catching-antelopes-with-snares and digging-bear-pits, the three ‘traditional’ skills are not replaced without a struggle and are justified by their usefulness in training the mind. The tale is still pertinent; Dumont and Istance (2010) note that many schools and classrooms are still preparing students for an industrial economy and that ‘too many schools do not exemplify [the conclusions of learning scientists]’ and that there is a ‘great disconnect’ between learning research and educational practice (p. 21).

  2. 2.

    ‘What this means is that when one neuron sends signals to another neuron, and that second neuron becomes activated, the connection between the two neurons is strengthened. The more one neuron activates another neuron, the stronger the connection between them grows. Some neuroscientists remember this by the phrase, “What fires together, wires together!”’ (Blakemore & Firth, 2005, p. 133)

  3. 3.

    ‘There is an interactive relationship between experience and brain structure: experience causes changes in brain structure, which in turn, influence the effects that subsequent experience has on the brain. Hence, it continually undergoes a process of experience-dependent reorganisation throughout life. So, individual learning differences arise as a result of a continual and cumulative interaction between genetic factors and their environmental contexts. The environment influences the expression of genes relevant to learning throughout the lifespan, which expression results in structural changes in the brain. These modifications then affect subsequent experience-elicited genetic expression. In this way, each individual’s brain accumulates structural idiosyncrasies which mediate learning processes. This means that it is difficult to prescribe one ideal learning environment for everyone—while the sensible nurturing of the brain will benefit all, it will not necessarily be equally effective.’ (OECD, 2007, p. 60)

  4. 4.

    ‘Overall, neuroscience research confirms the important role that experience plays in building the structure of the mind by modifying the structures of the brain: development is not solely the unfolding of preprogrammed patterns. Moreover, there is a convergence of many kinds of research on some of the rules that govern learning. One of the simplest rules is that practice increases learning; in the brain, there is a similar relationship between the amount of experience in a complex environment and the amount of structural change.’ (Bransford et al., 2000, p. 125)

  5. 5.

    ‘…studies of the brain show that individual characteristics are far from fixed – there is constant interaction between genetic function and experience and plasticity, such that the notion of what constitutes an individual’s capacities should be treated with considerable caution.’ (OECD, 2007, p. 156)

  6. 6.

    ‘Emotional experiences are also built into the architecture of the developing brain. In fact, emotion and cognition operate seamlessly [are inextricably linked] in the brain. The brain is organized into assemblies of neurons with specialised properties and functions. A stimulus elicits a network response of various assemblies to produce a learning experience. Particular components of this experience can usefully be labeled cognitive or emotional, but the distinction between the two is theoretical since they are integrated and inseparable in the brain.’ (Hinton & Fischer, 2010, p. 119).

  7. 7.

    ‘Far from the focus on the brain reinforcing an exclusively cognitive, performance-driven bias, it suggests the need for holistic approaches which recognise the close inter-dependence of physical and intellectual well-being, and the close interplay of the emotional and cognitive, the analytical and the creative arts.’ (OECD, 2007, p. 18)

  8. 8.

    Various terminologies exist, with essentially the same meanings. Here, the chosen terminology is ‘21st century competencies’. An alternative with the same meaning is ‘21st century competences’. There is also widespread reference to ‘21st century skills’, though skill would seem to be a narrower concept than competency, as well as being less applicable to some competencies. ‘Key competencies’ and ‘core competencies’ are other alternatives.

  9. 9.

    A quite different categorisation that has gained some acceptance sees ten competencies organised into four categories: ways of thinking; ways of working; tools for working; skills for living in the world (Binkley et al., 2012).

  10. 10.

    Another prominent framework (Partnership for 21st Century Skills [P21], 2019) identifies key subjects as: English, Reading, Language Arts; World Languages; Arts; Mathematics; Economics; Science; Geography; History; and Government and Civics. These should be infused with five ‘interdisciplinary’ themes: Global Awareness; Financial, Economic, Business and Entrepreneurial Literacy; Civic Literacy; Health Literacy; and Environmental Literacy. These are to supplemented by: Learning and Innovation Skills (critical thinking; communication; collaboration; and creativity); Information, Media and Technology Literacies; and Life and Career Skills.

  11. 11.

    Saavedra and Opfer (2012) adopt nine lessons from learning science for teaching ‘21st century skills’, consistent with other messages in this book: teach through the disciplines; develop lower order and higher order thinking skills simultaneously; encourage transfer of learning; teach students to learn to learn; address misunderstandings directly; recognise teamwork as both a learning outcome and a learning facilitator; exploit technology to support learning; and foster students’ creativity.

  12. 12.

    ACARA (n.d.) promotes ICT Literacy as one of several general capabilities in the national curriculum, with relevant content descriptions and elaborations in each learning area of the curriculum, and publishes rubrics for the several elements and sub-elements across a learning continuum of six levels. https://www.australiancurriculum.edu.au/media/1074/general-capabilities-information-and-communication-ict-capability-learning-continuum.pdf

  13. 13.

    Hattie and Donoghue (2016) explore teaching strategies for the three stages of learning that they identify as surface, deep and transfer.

  14. 14.

    Many such examples now exist. See, for example, Jin, Shin, Hokayem, Qureshi, and Jenkins (2019).

  15. 15.

    Delandshere (2001, 2002) extended that critique by pointing out that there are many different and nuanced theories of learning that imply radically different approaches to assessment, though typically these differences are unexplicated and therefore elusive. It appears that the focus of many learning theories is on learning as a process and that outcomes are undefined. Critiquing the critique is beyond the scope of this review. Here, a socially conservative stance is accepted, that considers many theories of learning as an expression of different social values, and therefore contestable. It is accepted that knowledge and expertise are defined within a socio-political context, which is the basis for their legitimacy, but also that knowledge and expertise have assessable objective characteristics (such as required for pilots, surgeons, accountants—or any ‘expert’ or perhaps any ‘educated person’). The current argument, however, is that standardised testing is incapable of validly assessing the range of desirable learning outcomes that have been defined through analysis and consensus, as well as empirical research, as desirable for the wellbeing of individual students and society.

  16. 16.

    From 2019, Queensland has finally succumbed to pressures to align itself with assessment practice in other Australian states. Some past features appear to have been retained but there are also substantial changes (Campbell, 2019; Cumming, 2020; Maxwell, 2019).

  17. 17.

    For the 2019 NIF see https://www.gov.scot/publications/2019-national-improvement-framework-improvement-plan/

  18. 18.

    Details on Curriculum for Excellence can be accessed through https://education.gov.scot

  19. 19.

    The SNSAs are multiple-choice, on-line, adaptive, un-timed, flexible-delivery tests (Leng, 2019).

  20. 20.

    These networks are sometimes referred to as schemas, described by Levy and Murnane (2004) as ‘mental structures that represent concepts and relationships that connect them’ (p. 63). It is noted that ‘expertise requires more than facts. It requires understanding how the facts are linked together, and how things actually work. These relationships allow a person to generalize from a specific case to a class of problems’ (p. 63).

  21. 21.

    The focus here is on observed learning outcomes , though these may have been defined by considering what is desirable, for example, positive versus negative emotions.

  22. 22.

    Further exploration of emotion in learning is beyond the scope of this book. Some of the complexities are discussed in Rowe (2017).

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Maxwell, G.S. (2021). Defining and Assessing Desired Learning Outcomes. In: Using Data to Improve Student Learning. The Enabling Power of Assessment, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-63539-8_3

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  • DOI: https://doi.org/10.1007/978-3-030-63539-8_3

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