Questioning art: Factors affecting students' cognitive engagement in responding
Julia E. Morris, Geoffrey W. Lummis and Graeme Lock
Edith Cowan University, Western Australia
The Melbourne declaration on educational goals for young Australians (MCEETYA, 2008) cited confident and creative citizens as a key goal for Australian students. This goal aligns with global research on visual arts, specifically visual literacy. Being visually literate means decoding images, understanding the relationship between image and context, and recoding personal experiences into visual artworks. This learning is a core outcome of responding activities in secondary school visual arts. However, students will only develop visual literacy skills if they are engaged in their learning activities. Subsequently, this research sought to explore the cognitive engagement of students in the Year 11 visual arts course. The research utilised a mixed methods approach, which aimed to measure factors affecting student engagement. Quantitative measures of student engagement are rarely subject specific, and the creation of a quantitative visual arts diagnostic instrument gave information about students' engagement that could inform teacher instruction. Factors affecting students' engagement were determined through exploratory analysis of the diagnostic assessment instrument, with qualitative data used to explain the students' quantitative responses. Three key factors of cognitive engagement were determined: intrinsic motivation, metacognition and autonomy. Developing students' skills in these areas may improve their cognitive engagement in their visual arts education.
The Australian Government has prioritised developing visually literate individuals as it is one goal of the Melbourne declaration (MCEETYA, 2008). The Melbourne Declaration set out goals for education that support the "vital role [schools play] in promoting the intellectual, physical, social, emotional, moral, spiritual and aesthetic development and wellbeing of young Australians, and in ensuring the nation's ongoing economic prosperity and social cohesion" (MCEETYA, 2008, p. 5). Included in these goals are to develop "creative and confident individuals, and active and informed citizens" (MCEETYA, 2008, p. 8). Creative individuals are those who are innovative and creatively active, and who build empathy through creativity. These individuals can engage with visual texts as part of their creative ability. Active and informed citizens can communicate within and between cultural groups, and this relies on more than just language literacy. Individuals who can decode and encode visual texts have an additional literacy on which to develop an understanding of the world across cultures and to use this knowledge to interact with others in a productive and culturally sensitive way (Freedman, Heijnen, Kallio-Tavin, Karpati & Papp, 2013; Palmer, 2015).
This research aimed to measure students' engagement in the responding aspect of visual arts, the component of the visual arts curriculum most closely linked to visual literacy. Students can only develop as visually literate individuals if they are deeply engaged in their learning. A second aim of the research was to explore quantitative methods within visual arts. Quantitative instruments measuring student engagement in visual arts have not yet been created, and hence working towards validating a diagnostic tool that can improve teacher intervention in this area is significant. The research was conducted during the final two years of the WA visual arts course of study, which was replaced by the WA visual arts ATAR (university-pathway) course in 2015. An explanatory mixed methods study was conducted to diagnostically assess students' cognitive and psychological engagement in visual arts responding tasks. Follow-up interviews were conducted with Year 11 students to triangulate and add richness to the quantitative findings. This paper reports on students' cognitive engagement, in response to the research question: To what extent are Year 11 students engaging with visual arts responding tasks?
Visual literacy is the skill of negotiating visual culture and communication. It can be defined as the ability to decode and encode meaning from visual texts (Avgerinou & Petterson, 2011; Flood, 2004). A key aspect of visual literacy is that it is both reactive and productive, in that individuals both make meaning as a result of exposure to external visual stimuli, as well as through producing their own visual texts that contribute back to visual culture (Avgerinou & Petterson, 2011; Black & Browning, 2011; Westraadt, 2016). Visual literacy is unique from language literacy in that there are no set rules for reading an image (Flood, 2004; Freedman, 2010) - they often cannot be read from left to right, or from beginning to end. However, there are frameworks that have been developed to assist students to ask and answer questions that can lead them to decode the artwork. These frameworks vary in complexity, but generally begin with literal comprehension questions (such as, what do you see?), then lead to inferential questions (such as, what colours do you see and why do you think they have been used?), move to applied questions (such as, what is the artist's intended message?) and finish with an evaluation (such as, make a judgement about the image). While frameworks can assist with types of questions to ask, the student plays an integral role in the construction of meaning from an artwork and their interpretation will be unique to their own life-world (Flood, 2004).
From 2008-2014, the senior school curriculum was termed the visual arts course of study. In this curriculum students responding tasks were organised into two areas: analysis and investigation. In the analysis area, students were given one or two images and asked to complete a critical analysis of the images, using a framework to guide their discussion. In an assessment setting the images for this task were often unseen and students completed their analysis under test conditions, in preparation for the Year 12 examinations. The investigation component generally consisted of an artist case study report. Students would research an artist who interested them, and who would be a key influence for their own art making. They would present a biography of the artist and their context, as well as completing an analysis on one or more of their artworks.
From 2015 the visual arts senior school curriculum has been updated. This curriculum is called the visual arts ATAR course, and this course still prepares students to sit the university entrance examination for visual arts. The fundamentals of responding in the curriculum have not changed from the visual arts course of study; however, the terminology of the curriculum units in Years 11 and 12 has changed to be more consistent with other Australian states and with the WA curriculum for Years K-10 that is aligned to the Australian curriculum.
In this study, cognitive engagement was defined as students' perceptions of the extent to which they engaged with visual arts responding tasks, in terms of relevance to their everyday life-world. Cognitive engagement was defined as having three latent indicators: autonomy, intrinsic motivation and metacognition. Autonomy was defined as the internalisation of information and processes, and their integration with student identity (Inguglia, Ingoglia, Liga, Lo Coco & Lo Cricchio, 2015; Ryan & Deci, 2006). Autonomous student are those who make decisions about learning in relation to their beliefs and interests (Winchmann, 2011). Intrinsic motivation was defined as students' motivation to learn for knowledge, achievement and sensory experience (Abeysekera & Dawson, 2015; Carbonneau, Vallerand & Lafrenire, 2012). Motivated students want to learn because they find the subject or task inherently interesting, and feel their learning is beneficial to their life and identity construction (Carbonneau et al., 2012; Ryan & Deci, 2000). Metacognition was defined as "the act of monitoring cognitive performance" (Wiley & Jee, 2011, p. 6). The most common types of metacognition are knowledge of self, task knowledge and strategic knowledge (Tarricone, 2011). Knowledge of self refers to students' awareness of their goals, strengths and areas for improvement (Garrison & Akyol, 2015; Tarricone, 2011; Wiley & Jee, 2011). Task knowledge refers to awareness of the objectives of the specific learning task, while strategic knowledge refers to the method used to complete the learning and any adaptations to the method that may be required (Garrison & Akyol, 2015; Tarricone, 2011).
The second phase of the research sought to elaborate on the findings of the quantitative analysis through qualitative data collection. In this phase, the researcher sought to respond to the question: To what extent are Year 11 students engaging with visual arts responding tasks? This phase employed constructivism, a paradigm that directly contrasts the worldview of post-positivism, in that it accepts there are multiple realities that are constructed through social interaction between researcher and participant (Creswell & Plano-Clark, 2011). A key component of constructivism is that it utilises "a social setting to understand the meaning of participants' lives in their own terms" (Janesick, 2000, p. 382). This paradigm was appropriate for the second phase of research as the researcher sought to triangulate the findings from the quantitative analysis, to determine if the lived experiences of the Year 11 students was consistent with the questionnaire findings and where their experiences differed from (or were not captured by) the questionnaire. A key aspect of this phase of the research was respecting the life-world and sense of being of the students(Habermas, 1999; Heidegger, 1996). A questionnaire cannot adequately capture the unique contexts of each student participant, and the interview phase allowed for the researcher to construct a clearer picture of reality for each student.
Research shows that there is a strong relationship between the educational advantage a student has, as measured by the parents occupation and level of education completed, and their educational achievement ... developed to enable fair and meaningful comparisons ... of students in a given school with that of similar schools serving students with statistically similar backgrounds ... (ACARA, 2012, p. 2)The characteristics of the sample were important due to the piloting of the online questionnaire. To improve the instrument's reliability it was necessary to have a sample that represented a broad range of school contexts and students. Within the sample, 137 completed an online questionnaire developed by the researcher. The online questionnaire took approximately 20 minutes to complete and was conducted during class time. The questionnaire asked the students about their experiences in visual arts from the home context and their schooling up to Year 11, including their engagement with responding tasks in visual arts. The researcher remained in the classroom during this time to answer any questions the students had, and to support any information technology issues that arose while the class was logged-in to the online questionnaire. Most students completed the questionnaire on a school issued device (laptop or iPad), but for two classes the researcher brought along a class set of iPads that could be used to access the survey if students did not have a school issued device. All responses to the survey were recorded anonymously.
The remaining 10 students in the sample participated in a semi-structured interview with the researcher, to elicit further information about their engagement in responding tasks. These interviews were conducted in a private location on the school grounds, in either the Arts staff office or in an unused classroom space. The interviews lasted approximately 20 minutes. They were audio recorded and transcribed, with all identifying information removed prior to data analysis. Data collection and analysis were conducted until the research themes reached saturation. All students were given a pseudonym for data analysis and reporting to protect confidentiality.
As an explanatory mixed methods approach was used, the interviews were conducted to elicit additional information based on the questionnaire and to also triangulate the questionnaire findings. As such, an interview guide was developed from the emerging findings. The interview questions followed a similar structure to the questionnaire, moving from students' personal experiences of art through to how they felt about responding tasks. The subject of personal experiences and interest in visual arts was used as an icebreaker to build rapport with the students.
Table 1 shows the mean scores and key themes for each of the three factors measured, which are then explained in more detail, with additional evidence from the student interviews.
Factor | Mean | Standard deviation | Key theme |
Autonomy | 3.45 | 0.70 | Trust in the art teacher to select 'better' works for analysis. |
Intrinsic motivation | 4.85 | 0.96 | Deep interest in learning about art/artists. |
Metacognition | 4.70 | 0.79 | Dependency on the Internet for contextual information. |
If we get to make the decision [about artists or artworks to view] we just go to what we feel comfortable with. If we see that something has got a lot in it to analyse, then we would obviously choose it over something that doesn't [or that has a more hidden meaning]. So it's good in that way, but it's bad because we dodge the ones that we're weak at. So we dont really progress that much.Isabel's perspective could explain the lower scores within the autonomy scale. Her perspective suggested that the students may feel positively about the level of autonomy that they do have, which could be described as being responsible learners within the boundaries of content that is directed by the visual arts teacher.
Another aspect of autonomy was between the making and responding aspects of visual arts. While the questionnaire showed students tended towards agreeing with the statement, I view others' visual artworks to influence my own visual arts practice (M = 4.71, SD = 1.05), Adrian suggested his autonomy was evident more in making artworks rather than in responding to visual arts. Adrian explained how "other people try to look at other peoples art for inspiration. I always forget to bring my laptop, so I can't look up stuff in class. I never look at other people's art ... definitely [I'm original]." Adrian felt autonomous in his art making, and he defined this autonomy as being able to detach himself from being influenced by external sources. It is possible that some disparity occurred between the quantitative and qualitative data as students may have compared their sense of autonomy in making versus responding to visual arts when completing the self-report questionnaire.
Most students felt motivated to continue visual arts alongside other creative pursuits when they completed compulsory schooling. This showed a deep motivation and enjoyment of the subject. Bridget explained how she was motivated to be creative although "not necessarily [pursue a career] in visual arts [as an artist. I think] that would be more of a fun [hobby] thing for me. I would write though, I like writing." Like Bridget, the quantitative responses revealed that students were interested in maintaining an arts practice but not as a career. The lowest mean score in this scale was for the item Studying visual arts theory will help me in the future (M = 3.99, SD = 1.22). Of all the interviewed students, Adrian had the most emphatic reaction to careers in the visual arts. He exclaimed: "Not as a career ... because it doesn't pay that much, not unless you're famous or something!"
Despite the reaction against a career in the visual arts, intrinsic motivation to respond to art was high from both art making and general knowledge perspectives. Elizabeth summarised the comments of many students when she said, "to develop your techniques and improve yourself as an artist you need to understand the foundation of art." Frida echoed the importance art history providing a general knowledge about the world, "I think it's just knowledge. Knowing how things changed and how the different art movements occurred and what [contextual factors] changed that - I like knowing that."
The highest mean score for an item in this scale was 4.46 (SD = 0.99), for the task knowledge item When I see a visual artwork I know what knowledge I need to analyse it. This indicated that the students had a good understanding of the types of information they needed to include when analysing an artwork, and was unsurprising given the number of analysis frameworks that are frequently used within visual arts classrooms throughout schooling. However, the lowest mean score was for the other task knowledge item When I see a visual artwork I know what to do to understand its meaning (M = 4.26, SD = 0.99). The interviewed students spoke about the initial confrontation that comes from having an unknown artwork placed in front of you and being asked to interpret it. Each student had a different strategy for how to begin their analysis, with most students focusing on formal analysis first (identifying colours used, types of line, patterns, etc.) as a way of then moving to a more symbolic and analytical reading of the work.
Strategic knowledge was relatively low on the questionnaire (M = 4.38, SD = 1.01); however, this was not supported in the interviews conducted with students. The interviewed students spoke a lot about technology dependency, and how this strategic knowledge compensated for their poor content knowledge. Adrian laughed, "I know nothing pretty much! But I can just look ... [any information] up if I want to know it." While the Internet provided information that could help students to complete responding tasks, it also posed its own issues. Frida explained how the breadth of information on the Internet overwhelmed her, "I can't make up my mind on one thing to do [after all my Internet searching]." Damien had similar anxiety about choosing artworks to study because of "the amount of artworks out there. Finding one that's really sort of challenging, but not too hard, or just ... one that has been done by a well-known artist, but that is also relevant to the topic [is challenging]." The students were not talking about strategic knowledge within the task itself, but about the initial selection of artworks and artists that would help them to begin their tasks with the confidence that there was enough information in sources to support their learning.
In addition to these reflections on metacognition within responding tasks, some interviewed students also spoke about the links between making and responding to art. Elizabeth summarised the sentiment of the students and explained how completing responding tasks led to an increased self-awareness in her art making:
I will admit that maybe two years ago I wasn't thinking about artwork in terms of how it was constructed, and I wasnt really thinking about my work in terms of how it was constructed, but more if it [was] accurate ... I wanted to paint or draw an accurate representation, like something realistic, but now it's more like, how can I just capture the light or just use tone to represent and not [any] line, ... [I focus on] different techniques and ... elements to create the image, not just making it look realistic.Elizabeth's reflection identified that metacognition crossed tasks, and that students were acutely aware that skills learnt through one task could be applied to others within the course.
We looked at a brief biography of the artist, discussed their style of work, their influence and [other artists] they have influenced. Then we picked two pictures ... we dissected [them] and talked about how this theme has been influenced or relating it back to context. (Mario)The interviewed students concurred that understanding the contextual knowledge of the artist's life and social conditions was the hardest component of visual analysis. The students were more comfortable with this type of task if they were given time to research the contextual information they needed; however, they were extremely anxious about examination situations that required them to use their existing knowledge to respond to an artwork. Cy explained being challenged in examinations:
It's kind of easy to pick out parts of the artwork [to discuss], but it's much more difficult to talk about the contextual information ... I don't revise context enough. And it's hard to be given an image you don't know and then talk about its context.Helene elaborated on this challenge and the implications for students achievement:
We had two pieces for compare and contrast, one was of a ... space thing and the other was, I think French Revolution ... I dont know anything about either of those ... I rambled.As she missed such a large section of her response, Helene's marks on the examination suffered.
Perceived skills and knowledge was not an indicator of cognitive engagement; however, the frequency in which it arose in the interviews suggested that enhancing students' skills - particularly in the area of contextual knowledge - would improve their confidence in and enjoyment of responding to visual arts. While the students identified a need to broaden their context knowledge, they did not have strategies to do so in a way that engaged them.
However, there was some disparity within the intrinsic motivation scale, where students were deeply motivated by the subject content, but were not willing to pursue visual arts or responding in their future. Some of the interviewed students spoke about maintaining an arts practice as a hobby, but there was a consensus that "you can't live on an artist's wage" (Adrian). In the students' discussion about skills and knowledge they explained how motivation based on achievement was often low for visual arts responding. The key reason for this was their lack of context knowledge, which had a large impact on their achievement in examinations. When students feel they may not excel at a task, self-efficacy and motivation decreases (Carbonneau et al., 2012). It could be that self-efficacy and limited motivation for achievement impacted on students' interest in pursuing visual arts as a future career. This could also be linked back to the lower sense of autonomy students felt they had within the course, and the extrinsic motivation of the WACE examination. Extrinsic motivators do not support deep engagement in the same way as intrinsic motivation (Abeysekera & Dawson, 2015; Ryan & Deci, 2000). Extrinsic motivators are not sustainable long-term, and students can still disengage from tasks if they perceive that they will not complete the task to a standard that would result in being rewarded (Abeysekera & Dawson, 2015; Ryan & Deci, 2000).
However, the students reported disparate perspectives about strategic knowledge, and the they explained how they relied on the Internet to provide information for their tasks and were anxious if there was limited web-based information on their subject content. At times the Internet itself posed a challenge to strategic knowledge, as students explained being "distracted" (Adrian) by the amount of artwork on the Internet. This quantity of information and imagery made Internet searching overwhelming and made research tasks more challenging for the students.
It seemed that the students required explicit scaffolding for conducting digital research and could benefit from improving their digital literacy skills, particularly with the prevalence of digital technology use among adolescents (Patchin & Hinduja, 2010). Improving these skills for students may also be positive for their autonomy through strengthening confidence to make decisions about their learning. One strategy to achieve this aim could be to work collaboratively in self and co-regulation with peers, to support research and other tasks that students feel overwhelmed by (Garrison & Akyol, 2015). These types of strategies may support students' engagement overall, by strengthening multiple factors of engagement.
It seemed that the students in this study could make a link between the responding tasks and their own interest in art making, but did not link responding tasks to their future aspirations beyond schooling. Adrian went as far as to say that responding in visual arts was "just like English lit[erature]". The school environment could also diminish relatedness, as the interviewed students often implied that the purpose of responding to visual arts was in preparation for the Year 12 WACE examinations. This shifts the purpose of learning from intrinsic to extrinsic (Deci & Moller, 2007), as the goal for responding to visual arts is to achieve in the examination and receive entrance into the students' preferred university course. For students to be truly intrinsically engaged, the process of learning needs to be caused by inherent satisfaction and enjoyment rather than by an external locus (Deci & Moller, 2007; Ryan & Deci, 2000).
The student sample for this study identified that scaffolding for digital research, and explicitly relating responding tasks to students' everyday lives and future aspirations could improve their cognitive engagement. This feedback from students can help teachers to plan and implement tasks that are related to students' needs. Subsequently, students become active participants in their own learning, developing as autonomous learners (Ryan & Deci, 2006).
Beyond diagnostically assessing students' cognitive engagement, this research also sought to demonstrate the positive outcomes of mixed methods research in the area of student engagement. The interviewed students showed where there were similarities, differences or additional information compared to the quantitative data. The explanatory approach strengthened the research findings, and is consistent with Greene's (2015) assertion that "combining the scales with interviews was a more robust method than scales alone" (p. 23). One limitation of the quantitative phase of this study was the small sample size (n = 137), and ongoing research to further validate the VARSEI with a larger sample is currently being undertaken. Furthermore, the VARSEI has only been trialled within a WA context, and would possibly require adaptation to make it valid for use on a broader international scale.
Student engagement in visual arts responding is important both for their academic achievement and future lives. Within the WA curriculum, responding is weighted as 50% of a students' overall grade for visual arts, and represents 50% of their WACE mark for visual arts. On a holistic level, responding to visual arts contributes to the students' acquisition of visual literacy, and this has an impact on their ability to make meaning from their life-world (Freedman et al., 2013; Westraadt, 2016). In a country that has prioritised the cultivation of "creative and confident individuals, and active and informed citizens" (MCEETYA, 2008, p. 8), visual arts education has a key role in engaging students to develop into active citizens within the visual, digital, and global life-world.
ACARA (2012). A guide to understanding ICSEA. Sydney, Australia. https://acaraweb.blob.core.windows.net/resources/Guide_to_understanding_2013_ICSEA_values.pdf
Appleton, J. J., Christenson, S. L., Kim, D. & Reschly, A. L. (2006). Measuring cognitive and psychological engagement: Validation of the student engagement instrument. Journal of School Psychology, 44(5), 427-445. https://doi.org/10.1016/j.jsp.2006.04.002
Atkins, S. (2002). Common ground: Art education and literacy education. Australian Art Education, 25(2), 34-40. http://search.informit.com.au/documentSummary;dn=200307729;res=IELAPA
Avgerinou, M. D. & Petterson, R. (2011). Toward a cohesive theory of visual literacy. Journal of Visual Literacy, 30(2), 1-19. http://dx.doi.org/10.1080/23796529.2011.11674687
Black, J. & Browning, K. (2011). Creativity in digital art education teaching practices. Art Education, 64(5), 19-34, 33-34. http://www.tandfonline.com/doi/abs/10.1080/00043125.2011.11519140
Boughton, D. (1989). The changing face of Australian art education: New horizons or sub-colonial politics? Studies in Art Education, 30(4), 197-211. http://www.tandfonline.com/doi/abs/10.1080/00393541.1989.11650723
Carbonneau, N., Vallerand, R. J. & Lafrenire, M. K. (2012). Toward a tripartite model of intinsic motivation. Journal of Personality, 80(5), 1147-1178.
Cohen, L., Manion, L. & Morrison, K. (2011). Research methods in education (7th ed.). New York, NY: Routledge.
Creswell, J. (2014). Educational research: Planning, conducting and evaluating quantitative and qualitative research (4th ed.). Essex, England: Pearson Publishing.
Creswell, J. & Plano-Clark, V. L. (2011). Designing and conducting mixed methods research. Los Angeles, CA: SAGE.
D'Alleva, A. (2012). Methods and theories of art history (2nd ed.). London, England: Laurence King.
Deci, E. L. & Moller, A. C. (2007). The concept of competence: A starting place for understanding intrinsic motivation and self-determined extrinsic motivation. In A. J. Elliot & C. S. Dweck (Eds.), Handbook of competence and motivation. New York, NY: The Guildford Press.
Dewey, J. (1906). The educational situation. Journal of Curriculum and Supervision, 17(2), 104-119. [see https://archive.org/details/educationalsitu00dewegoog]
Dewey, J. (1934). Art as experience. New York, NY: Putnam.
Drost, E. A. (2011). Validity and reliability in social science research. Education Research and Perspectives, 38(1), 105-124. http://www.erpjournal.net/wp-content/uploads/2012/07/ERPV38-1.-Drost-E.-2011.-Validity-and-Reliability-in-Social-Science-Research.pdf
Duncum, P. (2010). Seven principles for visual culture education. Art Education, 63(1), 6-10. http://www.tandfonline.com/doi/abs/10.1080/00043125.2010.11519047
Efland, A. (1990). A history of art education: Intellectual and social currents in teaching the visual arts. New York, NY: Teachers College Press.
Fetherston, T. (2008). Visual culture in the classroom. Australian Journal of Teacher Education, 33(3), 17-30. http://dx.doi.org/10.14221/ajte.2008v33n3.2
Flood, A. (2004). Defining the visually literate individual. Australian Art Education, 27(1), 72-84. http://search.informit.com.au/documentSummary;dn=200500808;res=IELAPA
Flood, A. & Bamford, A. (2007). Manipulation, simulation, stimulation: The role of art education in the digital age. International Journal of Education Through Art, 3(2), 91-102. https://doi.org/10.1386/eta.3.2.91_1
Fredricks, J., Blumenfeld, P. & Paris, A. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109. http://dx.doi.org/10.3102%2F00346543074001059
Freedman, K. (2010). Visual literacy in a consumer culture: Artistic production and criticism as civic engagement. Journal of Cultural Research in Art Education, 28, 129-132.
Freedman, K., Heijnen, E., Kallio-Tavin, M., Karpati, A. & Papp, L. (2013). Visual culture learning communities: How and what students come to know in informal art groups. Studies in Art Education, 54(2), 103-115. https://aaltoarted.files.wordpress.com/2013/01/studies_winter2013_kallio-tavin.pdf
Furlong, M. J. & Christenson, S. L. (2008). Engaging students at school and with learning: A relevant construct for all students. Psychology in the Schools, 45(5), 365-368. http://dx.doi.org/10.1002/pits.20302
Garrison, D. R. & Akyol, Z. (2015). Toward the development of a metacognition construct for communities of inquiry. The Internet and Higher Education, 24, 66-71. http://dx.doi.org/10.1016/j.iheduc.2014.10.001
Greene, B. A. (2015). Measuring cognitive engagement with self-report scales: Reflections from over 20 years of research. Educational Psychologist, 50(1), 14-30. http://dx.doi.org/10.1080/00461520.2014.989230
Guba, E. G. & Lincoln, Y. S. (2000). Paradigmatic controversies, contradictions, and emerging confluences. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research. Thousand Oaks, CA: SAGE.
Habermas, J. (1999). Moral consicousness and communicative action. Trans C. Lenhardt & S. W. Nicholsen, 6th ed.. Cambridge, MA: MIT Press.
Hall, R. (2013). Mixed methods: In search of a paradigm. In T. Lê & Q. Lê (Eds.), Conducting research in a challenging and changing world (pp. 71-78). Hauppauge, NY: Nova Science Publishers.
Heidegger, M. (1996). Being and time: A translation of Sein and Zeit (trans J. Stambaugh). Albany, NY: State University of New York Press.
Inguglia, C., Ingoglia, S., Liga, F., Lo Coco, A. & Lo Cricchio, M. G. (2015). Autonomy and relatedness in adolescence and emerging adulthood: Relationships with parental support and psychological distress. Journal of Adult Development, 22(1), 1-13. http://dx.doi.org/10.1007/s10804-014-9196-8
Janesick, V. J. (2000). The choreography of qualitative research design: Minuets, improvisations and crystallization. In N. K. Denzin & Y. S. Lincoln (Eds.), Handbook of qualitative research (2nd ed., pp. 379-400). Thousand Oaks, CA: SAGE.
Kline, P. (1991). The handbook of psychological testing (2nd ed.). London: Routledge.
Lovelace, M. D., Reschly, A. L., Appleton, J. J. & Lutz, M. E. (2014). Concurrent and predictive validity of the student engagement instrument. Journal of Psychoeducational Assessment, 32(6), 509-520. http://dx.doi.org/10.1177/0734282914527548
Lummis, G. W., Morris, J. E. & Lock, G. (2016). The Western Australian art and crafts superintendents advocacy for Years K-12 visual arts in education. History of Education Review, 45(1), 115-130. https://doi.org/10.1108/HER-12-2014-0045
Mazer, J. P. (2012). Development and validation of the student interest and engagement scales. Communication Methods and Measures, 6(2), 99-125. http://dx.doi.org/10.1080/19312458.2012.679244
MCEETYA (Ministerial Council on Education, Employment, Training and Youth Affairs) (2008). Melbourne declaration on educational goals for young Australians. Melbourne, Australia: MCEETYA. http://www.curriculum.edu.au/verve/_resources/National_Declaration_on_the_Educational_Goals_for_Young_Australians.pdf
Morris, J. E, Lummis, G. W. & Lock, G. (2014). Diagnostically assessing Western Australian Year 11 students engagement with theory in visual arts. In Proceedings AARE/NZARE National Conference, Brisbane, Australia. http://www.aare.edu.au/publications-database.php/8985/diagnostically-assessing-western-australian-year-11-students-engagement-with-theory-in-visual-arts
Morse, J. (2003). Principles of mixed methods and multimethod research design. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioural research. Thousand Oaks, CA: SAGE.
Palmer, D. (2015). Learning to see the infite: Teaching visual literacy in a first-year seminar course. New Directions for Teaching & Learning, 2015(141), 19-29. http://dx.doi.org/10.1002/tl.20119
Patchin, J. W. & Hinduja, S. (2010). Changes in adolescent online social networking behaviors from 2006 to 2009. Computers in Human Behavior, 26(6), 1818-1821. https://doi.org/10.1016/j.chb.2010.07.009
Punch, K. (2009). Introduction to research methods in education. London: SAGE.
Ryan, R. M. & Deci, E. L. (2000). Intrinsic and extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology, 25(1), 54-67. https://doi.org/10.1006/ceps.1999.1020
Ryan, R. M. & Deci, E. L. (2006). Self-regulation and the problem of human autonomy: Does psychology need choice, self-determination, and will? Journal of Personality, 74(6), 1557-1586. http://dx.doi.org/10.1111/j.1467-6494.2006.00420.x
School Curriculum and Standards Authority (2015). Year 12 ATAR visual arts syllabus. http://wace1516.scsa.wa.edu.au/__data/assets/pdf_file/0010/9883/Visual-Arts-Y12-Syllabus-General-GD.pdf
Tarricone, P. (2011). The taxonomy of metacognition. New York: Psychology Press.
Westraadt, G. (2016). Deepening visual literacy through the use of metacognitive reading instruction strategies. Perspectives in Education, 34(1), 182-198. http://dx.doi.org/10.18820/2519593X/pie.v34i1.13
Wiley, J. & Jee, B. D. (2011). Cognition: Overview and recent trends. In V. G. Aukrust (Ed.), Learning and cognition in education (pp. 3-8). Oxford: Academic Press.
Wilson, B. (2011). Living in actual and digital visual worlds: One big goal for art education. In Advocacy White Papers for Art Education, Section 2. National Art Education Association: https://arteducators-prod.s3.amazonaws.com/documents/246/2cacfc43-4f91-4b0b-8704-969df8aa90a7.pdf?1451958314
Winchmann, S. S. (2011). Self-determination theory: The importance of autonomy to well-being across cultures. Journal of Humanistic Counseling, 50(1), 16-26. http://onlinelibrary.wiley.com/doi/10.1002/j.2161-1939.2011.tb00103.x/abstract
Authors: Dr Julia E. Morris is the Visual Arts Education (Secondary) Course Coordinator at Edith Cowan University, Western Australia. Her research interests include student engagement, history of Australian arts education, art history, and teacher education, specifically teachers self-efficacy in the arts and science education. Email: j.morris@ecu.edu.au Associate Professor Geoffrey W. Lummis is Deputy Director of the Edith Cowan Institute for Education Research at Edith Cowan University. His research interests include sustainability, science and arts education, and teacher efficacy. He has been a science and arts educator at ECU for over 30 years. Email: g.lummis@ecu.edu.au A/Professor Graeme Lock is an Associate Professor in the School of Education at Edith Cowan University. His research interests include educational leadership, rural and remote education and student experiences at university. Email: g.lock@ecu.edu.au Please cite as: Morris, J. E., Lummis, G. W. & Lock, G. (2017). Questioning art: Factors affecting students' cognitive engagement in responding. Issues in Educational Research, 27(3), 493-511. http://www.iier.org.au/iier27/morris.html |