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과학 문제 대면 상황에서 상태호기심 및 상태불안 유발에 영향을 미치는 학습자 변인에 대한 연구
A Study on Learner Variables Influencing State Curiosity and State Anxiety in Confronting Scientific Task Situation 원문보기

초등과학교육 = Journal of Korean elementary science education, v.40 no.3, 2021년, pp.343 - 365  

강지훈 (달산초등학교) ,  김지나 (부산대학교)

초록
AI-Helper 아이콘AI-Helper

본 연구는 초등학교 5~6학년을 대상으로 과학 문제 대면 상황에서 학습자 변인이 상태호기심 및 상태불안 유발에 미치는 영향을 밝히는 데 목적이 있다. 상태호기심 및 상태불안 유발에 영향을 줄 것으로 예상되는 학습자 변인으로 과학호기심, 흥미, 인지욕구, 과학자아개념, 과학불안, 사전지식, 학생이 인식한 과제난이도를 선정하였다. 분석 결과, 과학 문제 대면 상황에서 유발되는 상태호기심에 유의한 영향을 미치는 변인은 흥미, 인지욕구, 과학호기심, 사전지식 순으로 나타났으며, 이들 변인은 모두 정적인 영향을 미쳤다. 또한 과학 문제 대면 상황에서 유발되는 상태불안에 유의한 영향을 미치는 변인은 과학 불안, 학생이 인식한 과제난이도, 인지욕구, 과학자아개념, 사전지식 순으로 나타났다. 이중 사전지식만 상태불안 유발에 부적인 영향을 미쳤고 나머지 변인들은 정적인 영향을 미쳤다. 본 연구의 결과는 과학학습에서 학생의 정서적 상태에 대한 이해의 폭을 넓히고, 과학 학습에서 유발되는 상태호기심 및 상태 불안 연구에 대한 이론적 토대를 마련할 것으로 기대된다.

Abstract AI-Helper 아이콘AI-Helper

The purpose of this study was to clarify the effect of learner variables on triggering state curiosity and state anxiety in confronting scientific task situation for fifth to sixth grades of elementary school. Science curiosity, interest, need for cognition, science self-concept, science anxiety, pr...

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표/그림 (6)

참고문헌 (160)

  1. Ainley, M. D. (1987). The factor structure of curiosity measure; Breadth and depth of interest curiosity styles. Australian Journal of Psychology, 39(1), 53-59. 

  2. Ainley, M., Hidi, S., & Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of Educational Psychology, 94(3), 545-561. 

  3. Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155-173. 

  4. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. 

  5. Anderson, L. W., & Bourke, S. F. (2000). Assessing affective characteristics in the schools. Mahwah, NJ: Lawrence Erlbaum. 

  6. Arnone, M. P., Grabowski, B. L., & Rynd, C. P. (1994). Curiosity as a personality variable influencing learning in a learner controlled lesson with and without advisement. Educational Technology Research and Development, 42(1), 5-20. 

  7. Arnone, M. P., Small, R. V., Chauncey, S. A., & McKenna, H. P. (2011). Curiosity, interest and engagement in technology-pervasive learning environments: A new research agenda. Educational Technology Research and Development, 59(2), 181-198. 

  8. Ayres, P. (2006). Using subjective measures to detect variations of intrinsic cognitive load within problems. Learning and Instruction, 16(5), 389-400. 

  9. Bae, B. R. (2017). Structural equation modeling with amos 24. Chungram. 

  10. Baldwin, R. S., Peleg-Bruckner, Z., & McClintock, A. H. (1985). Effects of topic interest and prior knowledge on reading comprehension. Reading Research Quarterly, 20(4), 497-504. 

  11. Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78-117. 

  12. Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill. 

  13. Bertrams, A., & Dickhauser, O. (2009). High-school students' need for cognition, self-control capacity, and school achievement: Testing a mediation hypothesis. Learning and Individual Differences, 19(1), 135-138. 

  14. Bloom, B. S. (1976). Human characteristics and school learning. McGraw-Hill. 

  15. Borowske, K. (2005). Curiosity and motivation-to-learn. Proceeding of the ACRL twelfth National Conference. 

  16. Boscolo, P., Ariasi, N., Favero, L. D., & Ballarin, C. (2011). Interest in an expository text: How does it flow from reading to writing? Learning and Instruction, 21(3), 467-480. 

  17. Bowler, L. (2010). The self-regulation of curiosity and interest during the information search process of adolescent students. Journal of the American Society for Information Science and Technology, 61(7), 1332-1344. 

  18. Boyle, G. J. (1979). Delimitation of state-trait curiosity in relation to state anxiety and learning task performance. Australian Journal of Education, 23(1), 70-82. 

  19. Bracken, B. A. (1992). Examiner's manual for the Multidimensional Self-esteem Scale. Austin, TX: Pro-Ed. 

  20. Brindley, G. (1987). Factors implicated in task difficulty. In D. Nunan (Ed.): Guidelines for the development of curriculum resources. Adelaide: NCRC, 45-56. 

  21. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage. 

  22. Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(2), 116-131. 

  23. Cacioppo, J. T., Petty, R. E., & Kao, C. F. (1984). The efficient assessment of need for cognition. Journal of Personality Assessment, 48(3), 306-307. 

  24. Callister, R., Suwarno, N. O., & Seals, D. R. (1992). Sympathetic activity is influenced by task difficulty and stress perception during mental challenge in humans. The Journal of Physiology, 454(1), 373-387. 

  25. Cho, G. P. (2006). The effect of mathematics anxiety, mathematics self-conception, and attitudes toward mathematics on mathematics achievement of elementary and middle school students by the content organization of mathematics curriculum. Journal of Learner-Centered Curriculum and Instruction, 6(2), 399-424. 

  26. Covington, M. V. (1992). Making the grade: A self-worth perspective on motivation and school reform. Cambridge University Press. 

  27. Day, H. I. (1982). Curiosity and the interested explorer. Performance and Instruction, 21(4), 19-22. 

  28. Deacy, A. D., Gayes, L. A., De Lurgio, S., & Wallace, D. P. (2016). Adaptation of the state-trait inventory for cognitive and somatic anxiety for use in children: A preliminary analysis. Journal or Pediatric Psychology, 41(9), 1033-1043. 

  29. DeLeeuw, K. E., & Mayer, R. E. (2008). A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. Journal of Educational Psychology, 100(1), 223-234. 

  30. Dwyer, M. (2008). Need for cognition, life satisfaction, and academic achievement. Episteme 3, 12-13. 

  31. Eggen, P., & Kauchak, D. (2010). Educational psychology: Windows on classrooms. Pearson. [신종호 역 (2014). 교육심리학. 학지사.] 

  32. Elias, S. M., & Loomis, R. J. (2002). Utilizing need for cognition and perceived self-efficacy to predict academic performance. Journal of Applied Social Psychology, 32(8), 1687-1702. 

  33. Entin, E. B. (1981). Relationships of measures of interest, prior knowledge, and readability to comprehension of expository passages. Dissertation Abstracts International, 41, 3214B. (University Microfilms No. 8103029). 

  34. Everson, H. T., Smodlaka, I., & Tobias, S. (1994). Exploring the relationship of test anxiety and metacognition on reading test performance: A cognitive analysis. Anxiety, Stress & Coping: An International Journal, 7(1), 85-96. 

  35. Eysenck, M. W. (1979). The feeling of knowing a word's meaning. British Journal of Psychology, 70(2), 243-251. 

  36. Eysenck, M. W. (1992). Anxiety: The cognitive perspective. Erlbaum. 

  37. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382-388. 

  38. Forsterlee, R., & Ho, R. (1999). An examination of the short form of the need for cognition scale applied in an Australian sample. Educational and Psychological Measurement, 59(3), 471-480. 

  39. Gardner, P. L. (1987). Comments on "Toward the development of a children's science curiosity scale". Journal of Research in Science Teaching, 24(2), 175-176. 

  40. Gardner, P. L., & Tamir, P. (1989). Interest in biology. part I: A multidimensional construct. Journal of Research in Science Teaching, 26(5), 409-423. 

  41. Gros, D. F., Antony, M. M., Simms, L. J., & McCabe, R. E. (2007). Psychometric properties of the State-Trait Inventory for Cognitive and Somatic Anxiety (STICSA): Comparison to the State-Trait Anxiety Inventory (STAI). Psychological Assessment, 19(4), 369-381. 

  42. Grossnickle, E. M. (2016). Disentangling curiosity: Dimensionality, definitions, and distinctions from interest in educational contexts. Educational Psychology Review, 28(1), 23-60. 

  43. Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). State of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit. Neuron, 84(2), 486-496. 

  44. Guay, F., Larose, S., & Boivin, M. (2004). Academic self-concept and educational attainment level: A tenyear longitudinal study. Self and Identity, 3(1), 53-68. 

  45. Guthrie, J. T. (1981). Reading interests. The Reading Teacher, 34(8), 984-986. 

  46. Ha, Y. H. (1996). The effects of the hypertext program with and without advisement on learning achievement by learners' prior ability and curiosity. Master's thesis, Dong-A University. 

  47. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed.), Upper Saddle River, NJ: Prentice-Hall. 

  48. Hart, J. T. (1965). Memory and the feeling-of-knowing experience. Journal of Educational Psychology, 56(4), 208-216. 

  49. Harty, H., & Beall, D. (1984). Toward the development of a children's science curiosity measure. Journal of Research in Science Teaching, 21(4), 425-436. 

  50. Haussler, P. (1987). Measuring students' interest in physics. International Journal of Science Education, 9(1), 79-92. 

  51. Hembree, R. (1988). Correlates, causes, effects, and treatment of test anxiety. Review of Educational Research, 58(1), 47-77. 

  52. Henderson, B., & Moore, S. G. (1979). Measuring exploratory behavior in young children: A factor-analytic study. Developmental Psychology, 15(2), 113-119. 

  53. Henderson, B., Charlesworth, W. R., & Gamradt, J. (1982). Children's exploratory behavior in a novel field setting. Ethology and Sociobiology, 3(2), 93-99. 

  54. Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review of Educational Research, 60(4), 549-571. 

  55. Hong, S. (2000). The criteria for selecting appropriate fit indices in structural equation modeling and their rationales. Korean Journal of Clinical Psychology, 19(1), 161-177. 

  56. Hong, S., Malik, M. L., & Lee, M. K. (2003). Testing configural, metric, scalar, and latent mean invariance across genders in sociotropy and autonomy using a non-western sample. Educational and Psychological Measurement, 63(4), 636-654. 

  57. Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. 

  58. Im, S., & Park, S. J. (2000). An analysis of multi-dimension of students' interest in learning physics. Journal of the Korean Association for Science Education, 20(4), 491-504. 

  59. Jaber, L. Z., & Hammer, D. (2016). Learning to feel like a scientist. Science Education, 100(2), 189-220. 

  60. Jegede, O. J. (1987). Socio-cultural correlates of anxiety in science classrooms: A preliminary report. Paper presented as a contribution to the International Roundtable Exchange at the National Convention of the National Science Teachers Association, Washington, D. C., March, 26-29. 

  61. Jeon, K. N. (2019). The mediating effects of academic effort of gifted and general students on the relation of academic self-concept to academic achievement. Journal of Gifted/Talented Education, 29(1), 83-101. 

  62. Ji, J. G. (2013). Relationship between scientific academic achievement and scientific attitude according to cognitive styles of elementary school students. Master's thesis, Daegu National University of Education. 

  63. Kang, H. S. (2001). The influence of sexes and scholastic self-conception of elementary school students, school careers of their fathers, and parents' ways of bringing up their children on scholastic achievements of students. Journal of Educational Research, 14(1), 249-261. 

  64. Kang, J., & Kim, J. (2020). Analysis of the relationship between familiarity, feeling of knowing, state curiosity, and state anxiety of elementary school students in the thermal task contexts. Journal of Korean Elementary Science Education, 39(3), 433-448. 

  65. Kang, J., & Kim, J. (2021). Learning effects according to the level of science state curiosity and science state anxiety evoked in the science learning. Journal of the Korean Association for Science Education, 41(3), 223-237. 

  66. Kang, J., Yoo, P., & Kim, J. (2020). The development of instruments for the measuring science state curiosity and anxiety in science learning. Journal of the Korean Association for Science Education, 40(5), 485-502. 

  67. Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T.-Y., & Camerer, C. F. (2009). The wick in the candle of learning: Epistemic curiosity activates reward circuitry and enhances memory. Psychological Science, 20(8), 963-973. 

  68. Kang, M., Kim, M., Kim, M., Park, H., & Koo, J. (2009). Investigating the relationships among prior knowledge, cognitive load, flow, and achievement. Journal of Research in Curriculum Instruction, 13(2), 369-391. 

  69. Kashdan, T. B., & Silvia, P. J. (2009). Curiosity and interest: The benefits of thriving on novelty and challenge. In S. J. Lopez & C. R. Snyder (Eds.), Oxford library of psychology. Oxford handbook of positive psychology (pp. 367-374). Oxford University Press. 

  70. Kashdan, T. B., Gallagher, M. W., Silvia, P. J., Winterstein, B. P., Breen, W. E., Terhar, D., & Steger, M. F. (2009). The curiosity and exploration inventory-II: Development, factor structure, and psychometrics. Journal of Research in Personality, 43(6), 987-998. 

  71. Kashdan, T. B., Rose, P., & Fincham, F. D. (2004). Curiosity and exploration: Facilitating positive subjective experience and personal growth opportunities. Journal of Personality Assessment, 83(2), 291-305. 

  72. Kifer, E. (1975). Relationships between academic achievement and personality characteristics: A quasi-longitudinal study. American Educational Research Journal, 12(2), 191-210. 

  73. Kim, H. J., & Im, S. (2012). An analysis of elementary school students' interest about learning science in informal science education environment. Journal of Korean Elementary Science Education, 31(1), 125-134. 

  74. Kim, H. J., Lee, J. W., & Im, S. (2013). An analysis of students' interest in high school 'Science' in view of the 2009 revised curriculum. Journal of the Korean Association for Science Education, 33(1), 17-29. 

  75. Kim, K. J. (1984). The effect of academic achievement and perceived parental attitudes on self-concepts of elementary and secondary school students. Ph. D. thesis, Chung Ang University. 

  76. Kim, M. (2008). Causal relationships among students' attitude, interest, conceptual understanding, and school achievement in secondary physics. Ph. D. thesis, Seoul National University. 

  77. Kim, Y. M. (2016). The conceptualization, model, measurement, and education of curiosity: Overview and suggestions. Ph. D. thesis, Jeonbuk National University. 

  78. Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.), The Guilford Press. 

  79. Kutner, M. H., Nachtsheim, C. J., & Neter, J. (2004). Applied linear regression models. 4th Edition, McGrawHill/Irwin, Chicago. 

  80. Kwon, J. S., Lee, G. H., & Kim, Y. S. (2003). The Necessary condition and the sufficient condition of cognitive conflict for conceptual change. Journal of the Korean Association for Science Education, 23(5), 574-591. 

  81. Ladd, S. L., & Gabrieli, J. D. E. (2015). Trait and state anxiety reduce the mere exposure effect. Frontiers in Psychology, 6, Article 701. 

  82. Laukenmann, M., Bleicher, M., Fuss, S., Glaser-Zikuda, M., Mayring, P., & Rhoneck, C. (2003). An investigation on the influence of emotions on learning in physics. International Journal of Science Education, 25(4), 489-507. 

  83. Lavonen, J., Juuti, K., Uitto, A., Meisalo, V., & Byman, R. (2005). Attractiveness of science education in the Finnish comprehensive school. In A. Manninen, K. Miettinen, & K. Kiviniemi (Eds.), Research findings on young people's perceptions of technology and science education. Mirror results and good practice. Technology Industries of Finland. 

  84. Lee, G., Kwon, J., Park, S., Kim, J., Kwon, H., & Park, H. (2003). Development of an instrument for the measuring cognitive conflict in secondary-level science classes. Journal of Research in Science Teaching, 40(6), 585-603. 

  85. Lee, J. C. (1992). Development of the science anxiety measurement scale and analysis of the tendency about the secondary school students' science anxiety. Ph. D. thesis, Korea National University of Education. 

  86. Lee, M. R. (1993). A study on attitude related to the science and science anxiety of elementary students. Master's thesis, Korea National University of Education. 

  87. Lee, S. H. (2004). The effects of prior knowledge on elementary school students' probabilistic correlational reasoning and analysis of reasoning strategies using process tracing method. Ph. D. thesis, Korea National University of Education. 

  88. Lee, S. H., Lee, B. J., & Son, H. C. (2007). Estimating the regression equations for predicting item difficulty of mathematics in the College Scholastic Ability Test. Journal of Korean Society Mathematical Education: The Mathematical Education, 46(4), 407-421. 

  89. Leherissey, B. L. (1971). The development of a measure of state epistemic curiosity (Tech. Memo No. 34). Florida State University. 

  90. Lester, D. (1968). The effect of fear and anxiety on exploration and curiosity: Toward a theory of exploration. The Journal of General Psychology, 79(1), 105-120. 

  91. Li, W., Lee, A., & Solmon, M. (2007). The role of perceptions of task difficulty in relation to self-perceptions of ability, intrinsic value, attainment value, and performance. European Physical Education Review, 13(3), 301-318. 

  92. Light, K. C., & Obrist, P. A. (1983). Task difficulty, heart rate reactivity, and cardiovascular responses to an appetitive reaction time task. Psychophysiology, 20(3), 301-312. 

  93. Lim, K. H., & Lim, Y. (2007). Educational psychology. Hakjisa. 

  94. Lin, Y., Durbin, J. M., & Rancer, A. S. (2016). Math anxiety, need for cognition, and learning strategies in quantitative communication research methods courses. Communication Quarterly, 64(4), 390-409. 

  95. Litman, J. A., & Jimerson, T. L. (2004). The measurement of curiosity as a feeling of deprivation. Journal of Personality Assessment, 82(2), 147-157. 

  96. Litman, J. A., & Spielberger, C. D. (2003). Measuring epistemic curiosity and its diversive and specific components. Journal of Personality Assessment, 80(1), 75-86. 

  97. Litman, J. A., Hutchins, T. L., & Russon, R. K. (2005). Epistemic curiosity, feeling of knowing, and exploratory behavior. Cognition and Emotion, 19(4), 559-582. 

  98. Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116(1), 75-98. 

  99. Luce, M. R., & HSI, S. (2015). Science-relevant curiosity expression and interest in science: An exploratory study. Science Education, 99(1), 70-97. 

  100. Mallow, J. V., & Greenburg, S. L. (1982). Science anxiety: Causes and remedies. Journal of College Science Teaching, 11(6), 356-358. 

  101. Mangos, P. M., & Steele-Johnson, D. (2001). The role of subjective task complexity in goal orientation, self-efficacy, and performance relations. Human Performance 14(2), 169-186. 

  102. Markey, A., & Loewenstein, G. (2014). CURIOSITY. In R. Pekrun & L. Linnenbrink-Garcia (Eds.), Educational psychology handbook series. International handbook of emotions in education (pp. 228-245). Routledge. 

  103. Marsh, H. W. (1994). Confirmatory factor analysis models of factorial invariance: A multifaceted approach. Structural Equation Modeling: A Multidisciplinary Journal, 1(1), 5-34. 

  104. Maynard, D. C., & Hakel, M. D. (1997). Effects of objective and subjective task complexity on task performance. Human Performance, 10(4), 303-330. 

  105. McDonald, R. P., & Marsh, H. W. (1990). Choosing a multivariate model: Noncentrality and goodness of fit. Psychological Bulletin, 107(2), 247-255. 

  106. McGillivray, S., Murayama, K., & Castel, A. D. (2015). Thirst for knowledge: The effects of curiosity and interest on memory in younger and older adults. Psychology and Aging, 30(4), 835-841. 

  107. Moon, S. B. (2009). Basic concepts and applications of structural equation modeling. Hakjisa. 

  108. Mussel, P. (2010). Epistemic curiosity and related constructs: Lacking evidence of discriminant validity. Personality and Individual Differences, 49(5), 506-510. 

  109. Naveh-Benjamin, M. (1991). A comparison of training programs intended for different types of test-anxious students: Further support for an information-processing model. Journal of Educational Psychology, 83(1), 134-139. 

  110. Naylor, F. D. (1981). A state-trait curiosity inventory. Australian Psychologist, 16(2), 172-183. 

  111. Noh, T., Lim, H., Kang, S., & Kim, S. (2001). The relationships among students' cognitive/affective variables, cognitive conflict induced by anomalous data, and conceptual change. Journal of the Korean Association for Science Education, 21(4), 658-667. 

  112. Oh, Y. (1996). The relationships among need for cognition, academic life, and leisure life of middle school students. Korean Journal of Educational Research, 34(3), 161-181. 

  113. Olson, K. R., Camp, C. J., & Fuller, D. (1984). Curiosity and need for cognition. Psychological Reports, 54(1), 71-74. 

  114. Pacheco-Unguetti, A. P., Acosta, A., Callejas, A., & Lupianez, J. (2010). Attention and anxiety: Different attentional functioning under state and trait anxiety. Psychological Science, 21(2), 298-304. 

  115. Panksepp, J. (1998). Affective neuroscience: The foundations of humans and animal emotion. Oxford University Press. 

  116. Park, H. J. (2008). Test of group invariance for the structural model among motivation, self-concept and student achievement: Using PISA 2006 data. Journal of Educational Evaluation, 21(3), 43-67. 

  117. Park, J. S. (2008). The emotional effects of interest-type and deprivation-type of epistemic curiosity: The perfect mediating role of actual self. Master's thesis, Korea University. 

  118. Park, M. H. (2004). A study of variables related to item difficulty in college scholastic ability test. The Journal of Educational Research in Mathematics, 14(1), 71-88. 

  119. Park, T., Eoh, H., Kim, C., & Yun, M. (2000). Relationship between task difficulty and EEG pattern in choice reaction tasks. 대한인간공학회 학술대회논문집, 321-325. 

  120. Pattern, M. (1983). Relationship between self-esteem, anxiety and achievement in young learning disabled children. Journal of Learning Disabilities, 16(1), 43-45. 

  121. Pekrun, R. (2006). The control-value theory of achievement emotions: assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18(4), 315-341. 

  122. Pekrun, R., Elliot, A. J., & Maier, M. A. (2009). Achievement goals and achievement emotions: Testing a model of their joint relations with academic performance. Journal of Educational Psychology, 101(1), 115-135. 

  123. Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33-40. 

  124. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavioral Research Methods, Instruments, & Computers, 36(4), 717-731. 

  125. Rancer, A. S., Durbin, J. M., & Lin, Y. (2013). Teaching communication research methods: Student perceptions of topic difficulty, topic understanding, and their relationship with math anxiety. Communication Research Reports, 30(3), 242-251. 

  126. Raykov, T. (1998). On the use of confirmatory factor analysis in personality research. Personality and Individual Differences, 24(2), 291-293. 

  127. Robinson, P. (2001). Task complexity, task difficulty, and task production: Exploring interactions in a componential framework. Applied Linguistics, 22(1), 27-57. 

  128. Ryu, J. (2009). The effects of learner expertise and task difficulty on cognitive load factors and performance. The Journal of Educational Information and Media, 15(4), 1-19. 

  129. Sadowski, C. J., & Gulgoz, S. (1992). Internal consistency and test-retest reliability of the need for cognition scale. Perceptual and Motor Skills, 74(2), 610-610. 

  130. Sadowski, C. J. (1993). An examination of the short need for cognition scale. Journal of Psychology, 127(4), 451-454. 

  131. Sadowski, C. J., & Gulgoz, S. (1996). Elaborative processing mediates the relationship between need for cognition and academic performance. The Journal of Psychology, 130(3), 303-307. 

  132. Sahin, M., Caliskan, S., & Dilek, U. (2015). Development and validation of the physics anxiety rating scale. International Journal of Environmental & Science Education, 10(2), 183-200. 

  133. Scasserra, D. (2008). The influence of perceived task difficulty on task performance. Master's thesis, Rowan University. 

  134. Schiefele, U. (1991). Interest, learning, and motivation. Educational Psychologist, 26(3-4), 299-323. 

  135. Schutz, P. A., & Lanehart, S. L. (2002). Introduction: Emotions in education. Educational Psychologist, 37(2), 67-68. 

  136. Schutz, P. A., & Pekrun, R. (2007). Emotion in education. Academic Press. 

  137. Schwartz, B. L. (1994). Sources of information in meta-memory: Judgements of learning and feelings of knowing. Psychonomic Bulletin & Review, 1(3), 357-375. 

  138. Seong, T. (2019). An easy statistical analysis: From descriptive statistics to structural equation model. (3rd ed.). Hakjisa. 

  139. Sewasew, D., & Schroeders, U. (2019). The developmental interplay of academic self-concept and achievement within and across domains among primary school students. Contemporary Educational Psychology, 58, 204-212. 

  140. Shavelson, R., Hubner, J. J., & Stanton, G. C. (1976). Self-concept: Validation of construct interpretations. Review of Educational Research, 46(3), 407-441. 

  141. Shin, D. D., & Kim, S. (2019). Homo curious: Curious of interest? Educational Psychology Review, 31(5), 853-874. 

  142. Shin, Y., Kang, H., Kwak, Y., Kim, H., Lee, S. Y., & Lee, S. (2017). A comparative analysis of the test tools in science-related affective domains. Biology Education, 45(1), 41-54. 

  143. Silvia, P. J. (2006). Exploring the psychology of interest. Oxford University Press. 

  144. Spielberger, C. D. (1972a). Anxiety: Current trends in theory and research. Academic Press. 

  145. Spielberger, C. D. (1972b). Experimental approaches to test anxiety: Attention and the uses of information. In C. D. Spielberger (Ed.), Anxiety; Current trends in theory and research, (Vol, 2). Academic Press. 

  146. Spielberger, C. D. (1983). Manual for the state-trait anxiety inventory (Form Y). Consulting Psychologist Press. 

  147. Spielberger, C. D. (Ed) (1966). Anxiety and behavior. Academic Press. 

  148. Sung, Y., Lee, H., Park, H., & Bang J. (2009). The influence of the time-delay of curiosity gratification on reward and learning effects: Focusing on the moderating effects of degrees of curiosity. The Korean Journal of Advertising, 20(4), 43-58. 

  149. Symansky, J. A. (1978). How teaching strategies affect student: Implications for teaching science, what research says to the science teacher, vol.1, Washington, D. C.: National Science Teachers Association. 

  150. Tobias, S. (1980). Anxiety and instruction. In I. G. Sarason (Ed.), Test anxiety: Theory, research, and applications (pp. 289-310). Erlbaum. 

  151. Tobin, K., Ritchie, S., Oakley, J., Mergard, V., & Hudson, P. (2013). Relationships between emotional climate and the fluency of classroom interactions. Learning Environments Research, 16(1), 71-89. 

  152. Trudewind, C. (2000). Curiosity and anxiety as motivational determinants of cognitive development. In J. Heckhausen (Ed.), Advances in psychology, 131. Motivational psychology of human development: Developing motivation and motivating development (pp. 15-38). Elsevier Science. 

  153. Van Velsor, E., & McCauley, C. D. (2004). Our view of leadership development. In C. D. McCauley & E. Van Velsor (Eds.), The center for creative leadership: Handbook of leadership development (pp. 1-22). Jossey-Bass. 

  154. Weber, C. K. (1980). Cognitive and affective influences on text comprehension. Dissertation Abstracts International Section A: Humanities and Social Sciences, 40(11-A), 5802. 

  155. Weible, J. F., & Zimmerman, H. T. (2016). Science curiosity in learning environments: Developing an attitudinal scale for research in schools, homes, museums, and the community. International Journal of Science Education, 38(8), 1235-1255. 

  156. Wigfield, A., & Eccles, J. (1992). The development of achievement task values: A theoretical analysis. Developmental Review, 12(3), 265-310. 

  157. Wine, J. D. (1980). Cognitive-attentional theory of test anxiety. In I. G. Sarason (Ed), Test anxiety: Theory, research and applications (pp. 349-385). L. Erlbaum Associates, Hillsdale, NJ. 

  158. Won, H. Y., Son, J. H., & An, H. E. (2012). A study on the mismatch of level of difficulty between teachers and learners in Korean achievement test. Journal of Educational Innovation Research, 22(3), 1-23. 

  159. You, H. S., & Yang, Y. K. (2014). The influence of self-resilience and academic self-concept on test anxiety in undergraduates. Journal of the Korean Academy of Fundamentals of Nursing, 21(3), 275-282. 

  160. Yu, S., & Lee, K. (2018). The effect of interaction between instructional explanation and need for cognition on problem solving in self-explanation learning. Journal of Learner-Centered Curriculum and Instruction, 18(7), 329-347. 

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