Based on the control-value theory of achievement emotions, this longitudinal study examined students’ control-value appraisals as antecedents of their enjoyment and boredom in mathematics. Self-report data for appraisals and emotions were collected from 579 students in their final year of primary schooling over three waves. Data were analyzed using latent interaction structural equation modeling. Control-value appraisals predicted emotions interactively depending on which specific subjective value was paired with perceived control. Achievement value amplified the positive relation between perceived control and enjoyment, and intrinsic value reduced the negative relation between perceived control and boredom. These longitudinal findings demonstrate that control and value appraisals, and their interaction, are critically important for the development of students’ enjoyment and boredom over time.
AhmedW.can der WerfG.KuyperH.MinnaertA. (2013). Emotions, self-regulated learning, and achievement in mathematics: A growth curve analysis. Journal of Educational Psychology, 105, 150–161. doi:10.1037/A0030160
2.
AinleyM. (2007). Being and feeling interested: Transient state, mood, and disposition. In SchutzP. A.PekrunR. (Eds.), Emotion in education (pp. 147–164). San Diego, CA: Academic Press.
3.
AinleyM.AinleyJ. (2011). Student engagement with science in early adolescence: The contribution of enjoyment to students’ continuing interest in learning about science. Contemporary Educational Psychology, 36, 4–12. doi:10.1016/j.cedpsych.2010.08.001
4.
AinleyM.HidiS. (2014). Interest and enjoyment. In PekrunR.Linnenbrink-GarciaL. (Eds.), International handbook of emotions in education (pp. 205–227). New York, NY: Routledge.
5.
AronsonJ.SteeleC. N. (2005). Stereotypes and the fragility of academic competence, motivation, and self-concept. In ElliotA. J.DweckC. S. (Eds.), Handbook of competence and motivation (pp. 436–456). New York, NY: Guildford Press.
6.
ArtinoA. R.JonesK. D. (2012). Exploring the complex relations between achievement emotions and self-regulated learning behaviors in online learning. Internet and Higher Education, 15, 170–175. doi:10.1016/j.iheduc.2012.01.006
7.
BiegM.GoetzT.HubbardK. (2013). Can I master it and does it matter? An intraindividual analysis on control-value antecedents of trait and state academic emotions. Learning and Individual Differences, 28, 102–108. doi:10.1016/j.lindif.2013.09.006
8.
BoyleB.BraggJ. (2006). A curriculum without foundation. British Educational Research Journal, 32, 569–582. doi:10.1080/01411920600775225
9.
BrunnerM.KellerU.DierendonckC.ReichertM.UgenS.FischbachA.MartinR. (2010). The structure of academic self-concepts revisited: The nested Marsh/Shavelson model. Journal of Educational Psychology, 102, 964–981. doi:10.1037/a0019644
10.
CarbonneauN.VallerandR. J.LafrenièreM. K. (2012). Toward a tripartite model of intrinsic motivation. Journal of Personality, 80, 1147–1178. doi:10.1111/j.1467-6494.2011.00757.x
11.
ClementsD. H.SamaraJ. (2004). Learning trajectories in mathematics education. Mathematical Thinking and Learning, 6, 81–89. doi:10.1207/s15327833mt l0602_1
DaschmannE. C.GoetzT.StupniskyR. H. (2011). Testing the predictors of boredom at school: Development and validation of the precursors to boredom scales. British Journal of Educational Psychology, 81, 421–440. doi:10.1348/000709910X526038
14.
Department for Communities and Local Government. (2015). The English indices of deprivation. London, England: HMSO.
15.
Department of Education. (2015a). 2010 to 2015 Government policy: School and college qualifications and curriculum. London, England: HMSO.
16.
Department of Education. (2015b). Schools, pupils and their characteristics: January 2015. London, England: HMSO.
17.
DettmersS.TrautweinU.LüdtkeO.GoetzT.FrenzelA. C.PekrunR. (2011). Students’ emotions during homework in mathematics: Testing a theoretical model of antecedents and achievement outcomes. Contemporary Educational Psychology, 36, 25–35. doi:10.1016/j.cedpsych.2010.10.001
18.
EcclesJ. S. (2005). Subjective task value and the Eccles et al. model of achievement-related choices. In ElliotA. J.DweckC. S. (Eds.), Handbook of competence and motivation (pp. 105–121). New York, NY: Guildford Press.
19.
EcclesJ. S.O’NeillS. A.WigfieldA. (2005). Ability self-perceptions and subjective task-values in adolescents and children. In MooreK. A.LippmanL. H. (Eds.), What do children need to flourish? Conceptualizing and measuring indicators of positive development. (pp. 239–247). New York, NY: Springer.
20.
FrenzelA. C.PekrunR.GoetzT. (2007). Girls and mathematics—a “hopeless” issue? A control-value approach to gender differences in emotions towards mathematics. European Journal of Psychology of Education, 22, 497–514.
21.
FrenzelA. CThrashT. M.PekrunR.GoetzT. (2007). Achievement emotions in Germany and China: A cross-cultural validation of the Academic Emotions Questionnaire–Mathematics (AEQ-M). Journal of Cross-Cultural Psychology, 38, 302–309
22.
ForgasJ. P. (2000). Feeling and thinking: The role of affect in social cognition. Cambridge, England: Cambridge University Press.
23.
GaspardH.DickeA. L.FlungerB.SchreierB.HäfnerI.TrautweinU.NagengastB. (2015). More value through greater differentiation: Gender differences in value beliefs about math. Journal of Educational Psychology, 107, 663–677. doi:10.1037/edu0000003
24.
GoetzT.FrenzelA. C.HallN. C.PekrunR. (2008). Antecedents of academic emotions: Testing the internal/external frame of reference model for academic enjoyment. Contemporary Educational Psychology, 33, 9–33. doi:10.1016/j.cedpsych.2006.12.002
25.
GoetzT.FrenzelA. C.PekrunR.HallN. C.LüdtkeO. (2007). Between- and within-domain relations of students’ academic emotions. Journal of Educational Psychology, 99, 715–733. doi:10.1037/0022-0663.99.4.715
26.
GoetzT.FrenzelA. C.StoegerH.HallN. C. (2010). Antecedents of everyday positive emotions: An experience sampling analysis. Motivation and Emotion, 34, 49–62. doi:10.1007/s11031-009-9152-2
27.
GoetzT.HaagL.LipnevichA. A.KellerM. M.FrenzelA. C.CollierA. P. M. (2014). Between-domain relations of students’ academic emotions and their judgments of school domain similarity. Frontiers in Psychology, 5, 1153. doi:10.3389/fpsyg.2014.01153
28.
GoetzT.HallN. C.FrenzelA. C.PekrunR. (2006). A hierarchical conceptualization of enjoyment in students. Learning and Instruction, 16, 323–338. doi:10.1016/j.learninstruc.2006.07.004
29.
GoetzT.PekrunR.HallN.HaagL. (2006). Academic emotions from a social-cognitive perspective: Antecedents and domain specificity of students’ affect in the context of Latin instruction. British Journal of Educational Psychology, 76, 289–308. doi:10.1348/000709905X42860
30.
GogolK.BrunnerM.PreckelF.GoetzT.MartinR. (2016). Developmental dynamics of general and school-subject-specific components of academic self-concept, academic interest, and academic anxiety. Frontiers in Psychology, 7, 356. doi:10.3389/fpsyg.2016.00356
31.
GrahamJ. W.Van HornM.TaylorB. J. (2012). Dealing with the problem of having too many variables in the imputation model. In GrahamJ. W. (Ed.), Missing data: Design and analysis (pp. 213–228). New York, NY: Springer.
32.
GuoJ.MarshH. W.ParkerP. D.MorinA. J. S.YeungA. S. (2015). Expectancy-value in mathematics, gender and socioeconomic background as predictors of achievement and aspirations: A multi-cohort study. Learning and Individual Differences, 37, 161–168. doi:10.1016/j.lindif.2015.01.008
33.
HallN. C.SampasivamL.MuisK. R.RanellucciJ. (2016). Achievement goals and emotions: The mediational roles of perceived progress, control, and value. British Journal of Educational Psychology, 86, 313–330. doi:10.1111/bjep.12108
34.
HayesA. F.GlynnC. J.HugeM. E. (2012). Cautions regarding the interpretation of regression coefficients and hypothesis tests in linear models with interactions. Communication Methods and Measures, 6, 1–11. doi:10.1080/19312458 .2012.651415
35.
HullemanC. S.HarackiewiczJ. M. (2009). Promoting interest and performance in high school science classes. Science, 326, 1410–1412. doi:10.1126/science .1177067
36.
HumphreyN. (2013). Social and emotional learning: A critical approach. London, England: Sage.
37.
HutchingsM. (2015). Exam factories: The impact of accountability measures on children and young people. Chelmsford, England: Ruskin Press.
38.
KamC. D.FranzeseR. J. (2007). Modeling and interpreting interactive hypotheses in regression analysis. Ann Arbor: University of Michigan Press.
39.
KärkkäinenK.Vincent-LancrinS. (2013). Sparking innovation in STEM education with technology and collaboration: A case study of the HP Catalyst Initiative (OECD Education Working Papers, No. 91). Paris, France: OECD. doi:10.1787/5k480sj9k442-en
40.
KeithT. Z. (2006). Multiple regression and beyond. Boston, MA: Pearson Education.
41.
KingR. B.McInerneyD. M.GanoticeF. A.VillarosaJ. B. (2015). Positive affect catalyzes academic engagement: Cross-sectional, longitudinal, and experimental evidence. Learning and Individual Differences, 39, 64–72. doi:10.1016/j.lindif.2015.03.005
42.
LauermanF.EcclesJ. S.PekrunR. (2017). Why do children worry about their academic achievement? An expectancy-value perspective on elementary students’ worries about their mathematics and reading performance. ZDM Mathematics Education, 49, 339–354. doi:10.1007/s11858-017-0832-1
43.
LinnenbrinkE. A. (2006). Emotion research in education: Theoretical and methodological perspectives on the integration of affect, motivation and cognition. Educational Psychology Review, 18, 307–314. doi:10.1007/s10648-006-9028-x
44.
Linnenbrink-GarciaL.BargerM. M. (2014). Achievement goals and emotions. In PekrunR.Linnenbrink-GarciaL. (Eds.), International handbook of emotions in education (pp. 142–161). New York, NY: Routledge.
45.
MagidsonJ. F.RobertsB. W.Collado-RodriguezA.LejuezC. W. (2014). Theory-driven intervention for changing personality: Expectancy value theory, behavioral activation, and conscientiousness. Developmental Psychology, 50, 1442–1450. doi:10.1037/a0030583
46.
MarshH. W. (1990). The Self-Description Questionnaire (SDQ) II: A theoretical and empirical basis for the measurement of multiple dimensions of adolescent self-concept. Macarthur, New South Wales, Australia: University of Western Australia.
47.
MarshH. W.WenZ.HauK. (2004). Structural equation models of latent interactions: Evaluation of alternative estimation strategies and indicator construction. Psychological Methods, 9, 275–300. doi:10.1037/1082-989X.9.3.275
48.
MarshH. W.WenZ.HauK. T. (2006). Structural equation models of latent interaction and quadratic effects. In HancockG.MuellerR. (Eds.), A second course in structural equation modeling (pp. 225–265). Greenwich, CT: Information Age.
49.
MuisK. R.PekrunR.SinatraG. M.AzevedoR.TrevorsG.MeierE.HeddyB. C. (2015). The curious case of climate change: Testing a theoretical model of epistemic belief, epistemic emotions, and complex learning. Learning and Instruction, 39, 168–183. doi:10.1016/j.learninstruc.2015.06.003
50.
MuthénL. K.MuthénB. O. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
51.
NettU. E.GoetzT.HallN. C. (2011). Coping with boredom in school: An experience sampling perspective. Contemporary Educational Psychology, 36, 49–59. doi:10.1016/j.cedpsych.2010.10.003
52.
NotebornG.CarbonellK. B.Dailey-HebertA.GijselaersW. (2012). The role of emotions and task significance in virtual education. Internet and Higher Education, 15, 176–183. doi:10.1016/j.iheduc.2012.03.002
53.
NtoumanisN. (2001). A self-determination approach to the understanding of motivation in physical education. British Journal of Educational Psychology, 71, 225–242. doi:10.1348/000709901158497
54.
PekrunR. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18, 315–341. doi:10.1007/s10648-006-9029-9
55.
PekrunR.GoetzT.DanielsL. M.StupinskyR. H.PerryR. P. (2010). Boredom in achievement settings: Exploring control-value antecedents and performance outcomes of a neglected emotion. Journal of Educational Psychology, 102, 531–549. doi:10.1037/a0019243
56.
PekrunR.GoetzT.FrenzelA. C.BarchfeldP.PerryR. P. (2011). Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ). Contemporary Educational Psychology, 36, 36–48. doi:10.1016/j.cedpsych.2010.10.002
57.
PekrunR.GoetzT.PerryR. P.KramerK.HochstadtM.MolfenterS. (2004). Beyond test anxiety: Development of the test emotions questionnaire (TEQ). Anxiety, Stress, & Coping, 17, 287–316. doi:10.1080/10615800412331303847
58.
PekrunR.HallN. C.GoetzT.PerryR. P. (2014). Boredom and academic achievement: Testing a model of reciprocal causation. Journal of Educational Psychology, 106, 696–710. doi:10.1037/a0036006
59.
PekrunR.LichtenfeldS.MarshH. W.MurayamaK.GoetzT. (2017). Achievement emotions and academic performance: Longitudinal models of reciprocal effects. Child Development, 88, 1653–1670. doi:10.1111/cdev12704
60.
PekrunR.PerryR. P. (2014). Control-value theory of achievement emotions. In PekrunR.Linnenbrink-GarciaL. (Eds.), International handbook of emotions in education (pp. 120–141). New York, NY: Routledge.
61.
PerryR. P.ChipperfieldJ. G.HladkyjS.PekrunR.HammJ. M. (2014). Attribution-based treatment interventions in some achievement settings. In KarabenickS.UrdanT. C. (Eds.), Advances in motivation and achievement (Vol. 18, pp. 1–35). Bingley, England: Emerald.
62.
PerryR. P.HladkyjS.PekrunR. H.PelletierS. T. (2001). Academic control and action control in the achievement of college students: A longitudinal field study. Journal of Educational Psychology, 93, 776–789. doi:10.1037/0022-0663.93.4.776
63.
PinxtenM.MarshH. W.De FraineB.NoortgateW. V. D.DameJ. V. (2014). Enjoying mathematics or feeling competent in mathematics? Reciprocal effects on mathematics achievement and perceived math effort expenditure. British Journal of Educational Psychology, 84, 152–174. doi:10.1111/bjep.12028
64.
PreacherK. J.RuckerD. D.HayesA. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185–227. doi:10.1080/00273170701341316
65.
PutwainD. W.BeckerS.SymesW.PekrunR. (2017). Reciprocal relations between academic Enjoyment, boredom, and achievement over time. Learning and Instruction. Advance online publication. doi:10.1016/j.learn instruc.2017.08.004
66.
PutwainD. W.LarkinD.SanderP. (2013). A reciprocal model of achievement goals and learning related emotions in the first year of undergraduate study. Contemporary Educational Psychology, 38, 361–374. doi:10.1016/j.ced psych.2013.07.003
67.
QuigleyK. S.LindquistK. A.BarrettL. F. (2014). Inducing and measuring emotion and affect: Tips, tricks, and secrets. In ReisH. T.JuddC. M. (Eds.), Handbook of research methods in social and personality psychology (pp. 220–252). New York, NY: Cambridge University Press.
68.
RotgansJ. I.SchmidtH. G. (2011). The role of teachers in facilitating situational interest in an active-learning classroom. Teaching and Teacher Education, 27, 37–42. doi:10.1016/j.tate.2010.06.025
69.
RudduckJ. (2007). Student voice, student engagement, and school reform. In ThiessenD.Cook-SatherA. (Eds.), International handbook of student experience in elementary and secondary school (pp. 587–610). Dordrecht, Netherlands: Springer.
70.
RuthigJ. C.PerryR. P.HladkyjS.HallN. C.PekrunR.ChipperfieldJ. G. (2008). Perceived control and emotions: Interactive effects on performance in achievement settings. Social Psychology of Education, 11, 161–180. doi:10 .1007/s11218-007-9040-0
71.
RyanR. M.DeciE. L. (2016). Facilitating and hindering motivation, learning, and well-being in schools: Research and observations from self-determination theory. In WentzelK. R.MieleD. B. (Eds.) Handbook of motivation at school (pp. 96–119). Oxford, England: Routledge.
72.
RyanR. M.MollerA. C. (2017). Competence and central, but not sufficient, for high quality motivation: A self-determination theory perspective. In ElliotA. J.DweckC. S.YeagerD. S. (Eds.), Handbook of competence and motivation (2nd ed., pp. 214–231). New York: NY: Guildford Press.
73.
SieglerR. S.DuncanG. J.Davis-KeanP. E.DuckworthK.ClaessensA.EngelM.. . . ChenM. (2012). Early predictors of high school mathematics achievement. Psychological Science, 23, 691–697. doi:0.1177/0956797612440101
74.
SkinnerE. A. (1996). A guide to constructs of control. Journal of Personality and Social Psychology, 71, 549–570. doi:10.1037/0022-3514.71.3.549
75.
SkinnerE. A.FurrerC.MarchandG.KindermanT. (2008). Engagement and disaffection in the classroom: Part of a larger motivational dynamic?Journal of Educational Psychology, 100, 765–781. doi:10.1037/a0012840
76.
SteinmayrR.CredeJ.McElvanyN.WirthweinL. (2016). Subjective well-being, test anxiety, academic achievement: Testing for reciprocal effects. Frontiers in Psychology, 6, 1994. doi:10.3389/fpsyg.2015.01994
77.
SwannW.Chang-SchneiderC.McClartyK. (2007). Do people’s self-views matter? Self-concept and self-esteem in everyday life. American Psychologist, 62, 84–94. doi:10.1037/0003-066X.62.2.84
78.
TromanG. (2008). Primary teacher identity, commitment and career in performative school cultures. British Educational Research Journal, 34, 619–633. doi:10.1080/01411920802223925
79.
TurnerM. J.JonesM. V.SheffieldD.BarkerJ.CoffeeP. (2014). Manipulating cardiovascular indices of challenge and threat using resource appraisals. International Journal of Psychophysiology, 94, 9–18. doi:10.1016/j.ijpsycho.2014.07.004
80.
VillavicencioF. T.BaernardoA. B. I. (2013). Positive academic emotions moderate the relationship between self-regulation and academic achievement. British Journal of Educational Psychology, 83, 329–340. doi:10.1111/j.2044-8279 .2012.02064.x
81.
VrugtA. J.LangereisM. P.HoogstratenJ. (1997). Academic self-efficacy and malleability of relevant capabilities as predictors of exam performance. Journal of Experimental Education, 66, 61–72. doi:10.1080/00220979709601395
82.
WaiJ.LubinskiD.BenbowC. P.SteigerJ. H. (2010). Accomplishment in science, technology, engineering, and mathematics (STEM)and its relation to STEM educational dose: A 25-year longitudinal study. Journal of Educational Psychology, 102, 860–871. doi:10.1037/a0019454
83.
WigfieldA.TonksS.KlaudaS. L. (2016). Expectancy-value theory. In WentzelK. R.MieleD. B. (Eds.), Handbook of motivation at school (pp. 55–74). Oxford, England: Routledge.
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