|
十二年國民基本教育課程綱要總綱（2014）。
吳明隆（2021）。SPSS 操作與應用-多變量分析實務。台北：五南。
張春興（2007）。教育心理學：三化取向的理論與實踐。台北市：東華。
張偉豪（2011）。SEM 論文寫作不求人。台北市：鼎茂。
黃玉枝（2013）。以動手做科學促進身心障礙學生對科學學習的興趣。南屏特殊教育，4，23-36。
黃芳銘（2002）。結構方程模式理論與應用。台北：五南。
楊秀全、李隆盛（2017）。從課程校準觀點探討新加坡科技教科書對我國生活科技教科書的啟示。教科書研究，10，37-67。
Ackerman, P. L. (2000). Domain-specific knowledge as the" dark matter" of adult intelligence: Gf/Gc, personality and interest correlates. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 55(2), 69-84. https://doi.org/10.1093/geronb/55.2.P69
Adodo, S. O., & Gbore, L. O. (2012). Prediction of attitude and interest of science students of different ability on their academic performance in basic science. International Journal of Psychology and Counselling, 4(6), 68-72. https://doi.org/10.5897/IJPC10.049
Ainley, M. (2017). Interest: Knowns, unknowns, and basic processes. In P. A. O’Keefe, & J. M. Harackiewicz (Eds.), The science of interest (pp. 3–24). Cham: Springer. https://doi.org/10.1007/978-3-319-55509-6_1
Ajzen, I. (1989). Attitude structure and behavior. In A. Pratkanis, S. Breckler, & A. Greenwad (Eds.), Attitude structure and function (pp. 241-274). Hillsdale, NJ: Lawrence Erlbaum. https://doi.org/10.4324/9781315801780
Anderson, A., Kollmann, E. K., Beyer, M., Weitzman, O., Bequette, M., Haupt, G., & Velázquez, H. (2021). Design strategies for hands-on activities to increase interest, relevance, and self-Efficacy in Chemistry. Journal of Chemical Education, 98(6), 1841-1851. https://doi.org/10.1021/acs.jchemed.1c00193
Arrington, T. L., Moore, A. L., & Bagdy, L. M. (2021). K12 practitioners’ perceptions of learning from failure, creativity, and systems thinking: a Collective Case Study. TechTrends, 1-10. https://doi.org/10.1007/s11528-021-00596-7
Azar, A. S., Keat, O. B., & Arutus, J. S. (2021). Collaborative learning in the classroom: The study of malaysian university students' attitude. Ilkogretim Online, 20(4), 272-284. https://doi.org/10.1111/jcal.12022
Barron, B. (2006). Interest and self‐sustained learning as catalysts of development: A learning ecology perspective. Human Development, 49(4), 193–224. https://doi.org/10.1159/000094368
Batz, C., & Tay, L. (2018). Gender differences in subjective well-being. In E. Diener, S. Oishi, L. Tay (Eds.), Handbook of well-being. Salt Lake City, UT: DEF Publishers. https://doi.org/10.4337/9781788119344
Bernacki, M. L., & Walkington, C. (2018). The role of situational interest in personalized learning. Journal of Educational Psychology, 110(6), 864.
Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31(1), 419-456. https://doi.org/10.1037/edu0000250
Bollen, K. A. (1989). Structural equations with latent variables. NY: Wiley & Sons. https://doi.org/10.1002/9781118619179
Bollen, K. A., & Stine, R. A. (1992). Bootstrapping goodness-of-fit measures in structural equation models. Sociological Methods & Research, 21(2), 205-229. https://doi.org/10.1177/0049124192021002004
Bouchaib, B., Ahmadou, B., & Abdelkader, S. (2018). High school students' attributions of success in English language learning. International Journal of Instruction, 11(2), 89-102. https://doi.org/10.12973/iji.2018.1127a
Breckler, S. J. (1990). Applications of covariance structure modeling in psychology: Cause for concern?. Psychological bulletin, 107(2), 260. https://doi.org/10.1037/00
33-2909.107.2.260
Brinson, J. R. (2015). Learning outcome achievement in non-traditional (virtual and remote) versus traditional (hands-on) laboratories: A review of the empirical research. Computers & Education, 87, 218-237. https://doi.org/10.1016/j.compedu.
2015.07.003
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing Structural Equation Models, 136-162. Newbury Park, CA: Sage. https://doi.org/10.1177/0049124192021002005
Brun, L., Dompnier, B., & Pansu, P. (2021). A latent profile analysis of teachers’ causal attribution for academic success or failure. European Journal of Psychology of Education, 1-22. https://doi.org/10.1007/s10212-021-00551-3
Carmichael, C., Callingham, R., & Watt, H. M. (2017). Classroom motivational environment influences on emotional and cognitive dimensions of student interest in mathematics. ZDM, 49(3), 449-460. https://doi.org/10.1007/s11858-016-0831-7
Chen, K., & Chen, C. (2021). Effects of STEM inquiry method on learning attitude and creativity. EURASIA Journal of Mathematics, Science and Technology Education, 17(11), em2031. https://doi.org/10.29333/ejmste/11254
Chen, Z. (2021). Non-English majors’ writing self-efficacy and attribution in learning English as a foreign language. International Journal of English Linguistics, 11(2), 137-149. https://doi.org/10.5539/ijel.v11n2p137
Cheung, G. W., & Wang, C. (2017). Current approaches for assessing convergent and discriminant validity with SEM: Issues and solutions. Academy of Management Proceedings, 2017(1), 12706. https://doi.org/10.5465/AMBPP.2017.12706abstract
Christensen, R., & Knezek, G. (2018). Impact of middle school student energy monitoring activities on climate change beliefs and intentions. School Science and Mathematics, 118(1-2), 43-52. https://doi.org/10.1111/ssm.12257
Chua, Y. P., & Chua, Y. P. (2017). Do computer-mediated communication skill, knowledge and motivation mediate the relationships between personality traits and attitude toward Facebook?. Computers in Human Behavior, 70, 51-59. https://doi.org/10.1016/j.chb.2016.12.034
Cincinnato, S., Engels, N., & Consuegra, E. (2020). Effort and ability attributions as explanation for differences in study choice after failure: evidence from a hypothetical vignette study among first-entry bachelor students in a Belgian university. European Journal of Psychology of Education, 1-23. https://doi.org/10.1007/s10212-019-00449-1
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. https://doi.org/10.1037//0033-2909.112.1.155
Crouch, C. H., Wisittanawat, P., Cai, M., & Renninger, K. A. (2018). Life science students’ attitudes, interest, and performance in introductory physics for life sciences: An exploratory study. Physical Review Physics Education Research, 14(1), 010111. https://doi.org/10.1103/PhysRevPhysEducRes.14.010111
Daryanto, A., Song, Z., & Soopramanien, D. (2022). The COVID-19 pandemic as an impetus for pro-environmental behaviours: The role of causal attribution. Personality and Individual Differences, 187, 111415. https://doi.org/10.1016/j.paid.2021.111415
Dewey, J. (1913). Interest as direct and indirect. Houghton Mifflin. https://doi.org/10.1037/14633-002
Demir, Y. (2017). Turkish EFL learners’ attributions for success and failure in speaking English. International Journal of Contemporary Educational Research, 4(2), 39-47. Retrieved from http://ijcer.net/en/pub/issue/36828/419485
DiGiacomo, D. K., Van Horne, K., Van Steenis, E., & Penuel, W. R. (2018). The material and social constitution of interest. Learning, Culture and Social Interaction, 19, 51-60. https://doi.org/10.1016/j.lcsi.2018.04.010
Dohn, N. B., & Dohn, N. B. (2017). Integrating Facebook in upper secondary biology instruction: a case study of students’ situational interest and participation in learning communication. Research in Science Education, 47(6), 1305-1329. https://doi.org/10.1007/s11165-016-9549-3
Doll, W.J., Xia, W., & Torkzadeh, G. (1994). A confirmatory factor analysis of the end-user computing satisfaction instrument. MIS Quarterly, 18(4), 453-461. https://doi.org/10.2307/249524
Dousay, T. A., & Trujillo, N. P. (2019). An examination of gender and situational interest in multimedia learning environments. British Journal of Educational Technology, 50(2), 876-887. https://doi.org/10.1111/bjet.12610
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100(3), 363–406. https://doi.org/10.1037/0033-295X.100.3.363
Ehrlinger, J., Plant, E. A., Hartwig, M. K., Vossen, J. J., Columb, C. J., & Brewer, L. E. (2018). Do gender differences in perceived prototypical computer scientists and engineers contribute to gender gaps in computer science and engineering?. Sex Roles, 78(1), 40-51. https://doi.org/10.1007/s11199-017-0763-x
Ellström, P. (1997). The many meanings of occupational competence and qualification. Journal of European Industrial Training, 21(6), 266-273 https://doi.org/10.1108/03090599710171567
Essa, F., Weinsdörfer, A., Shilo, R., Diesendruck, G., & Rakoczy, H. (2021). Children explain in‐and out‐group behavior differently. Social Development, 30(3), 684-696. https://doi.org/10.1111/sode.12499
Fan, X., Thompson, B., & Wang, L. (1999). Effects of sample size, estimation methods, and model specification on structural equation modeling fit indexes. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 56-83. https://doi.org/10.1080/10705519909540119
Fidan, M., & Tuncel, M. (2019). Integrating augmented reality into problem based learning: The effects on learning achievement and attitude in physics education. Computers & Education, 142, 103635. https://doi.org/10.1016/j.compe
du.2019.103635
Fielden, L. V., & Rico, M. (2018). Attribution theories in language learning motivation: success in vocational English for hospitality students. English Language Teaching, 11(11), 44-54. https://doi.org/10.5539/elt.v11n11p44
Flowerday, T., & Shell, D. F. (2015). Disentangling the effects of interest and choice on learning, engagement, and attitude. Learning and Individual Differences, 40, 134-140. https://doi.org/10.1016/j.lindif.2015.05.003
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
Fu, X., Liu, X., Hua, C., Li, Z., & Du, Q. (2021). Understanding tour guides’ service failure: Integrating a two-tier triadic business model with attribution theory. Journal of Hospitality and Tourism Management, 47, 506-516. https://doi.org/10.1016/j.jhtm.2021.05.004
Gagné, R. M. (1985). The conditions of learning (4th ed.). Holt, Rinehart & Winston.
García y García, B. E. (2021). To what factors do university students attribute their academic success?. Journal on Efficiency and Responsibility in Education and Science, 14(1), 1-8. https://doi.org/10.7160/eriesj.2021.140101
Gardner, W. L., Karam, E. P., Tribble, L. L., & Cogliser, C. C. (2019). The missing link? Implications of internal, external, and relational attribution combinations for leader–member exchange, relationship work, self‐work, and conflict. Journal of Organizational Behavior, 40(5), 554-569. https://doi.org/10.1002/job.2349
Giota, J., & Gustafsson, J. E. (2017). Perceived demands of schooling, stress and mental health: Changes from grade 6 to grade 9 as a function of gender and cognitive ability. Stress and Health, 33(3), 253-266. https://doi.org/10.1002/smi.2693
Gold, A. U., Pendergast, P. M., Ormand, C. J., Budd, D. A., & Mueller, K. J. (2018). Improving spatial thinking skills among undergraduate geology students through short online training exercises. International Journal of Science Education, 40(18), 2205-2225. https://doi.org/10.1080/09500693.2018.1525621
Graham, S. (2020). An attributional theory of motivation. Contemporary Educational Psychology, 61, 101861. https://doi.org/10.1016/j.cedpsych.2020.101861
Graham, S., & Taylor, A. Z. (2022). The power of asking why?: Attribution retraining programs for the classroom teacher. Theory Into Practice, 61(1), 5-22. https://doi.org/10.1080/00405841.2021.1932160
Hair, J., Black, B., Babin, B., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (7th ed.). Prentice Hall.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate data analysis (6th ed.). Pearson Education Inc.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069
Hamann, K., Pilotti, M. A., & Wilson, B. M. (2021). What lies beneath: The role of self-efficacy, causal attribution habits, and gender in accounting for the success of college students. Education Sciences, 11(7), 333. https://doi.org/10.3390/educsci11070333
Harris, A., & Bruin, R. L. (2018). Secondary school creativity, teacher practice and STEAM education: An international study. Journal of Educational Change, 19, 153-179. https://doi.org/10.1007/s10833-017-9311-2
Harvey, P., Martinko, M. J., & Borkowski, N. (2017). Justifying deviant behavior: The role of attributions and moral emotions. Journal of business ethics, 779-795. https://doi.org/10.1007/s10551-016-3046-5
Hashim, S., Masek, A., Mahthir, B. N. S. M., Rashid, A. H. A., & Nincarean, D. (2021). Association of interest, attitude and learning habit in mathematics learning towards enhancing students’ achievement. Indonesian Journal of Science and Technology, 6(1), 113-122. https://doi.org/10.17509/ijost.v6i1.31526
He, G., & Zhou, M. (2018). Gender difference in early occupational attainment: The roles of study field, gender norms, and gender attitudes. Chinese Sociological Review, 50(3), 339-366. https://doi.org/10.1080/21620555.2018.1430509
Healy, K. L., Grzazek, O. Y., & Sanders, M. R. (2020). Attributions for improvement in children bullied at school. Journal of school violence, 19(2), 219-233. https://doi.org/10.1080/15388220.2019.1653313
Hecht, M., Knutson, K., & Crowley, K. (2019). Becoming a naturalist: Interest development across the learning ecology. Science Education, 103(3), 691-713. https://doi.org/10.1002/sce.21503
Heider, F. (1958). The psychology of interpersonal relations. Psychology Press. https://doi.org/10.4324/9780203781159
Henry, M. A., Shorter, S., Charkoudian, L., Heemstra, J. M., & Corwin, L. A. (2019). FAIL is not a four-letter word: A theoretical framework for exploring undergraduate students’ approaches to academic challenge and responses to failure in STEM learning environments. CBE—Life Sciences Education, 18(1), ar11. https://doi.org/10.1187/cbe.18-06-0108
Hesterberg, T. (2011). Bootstrap. Wiley Interdisciplinary Reviews: Computational Statistics, 3(6), 497-526. https://doi.org/10.1002/wics.182
Hidi, S. E., & Renninger, K. A. (2019). Interest development and its relation to curiosity: needed neuroscientific research. Educational Psychology Review, 31(4), 833-852. https://doi.org/10.1007/s10648-019-09491-3
Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111–127. https://doi.org/10.1207/s15326985ep 4102_4
Hochberg, K., Kuhn, J., & Müller, A. (2018). Using smartphones as experimental tools—effects on interest, curiosity, and learning in physics education. Journal of Science Education and Technology, 27(5), 385-403. https://doi.org/10.1007/s1095 6-018-9731-7
Hoff, K. A., Song, Q., Einarsdóttir, S., Briley, D. A., & Rounds, J. (2020). Developmental structure of personality and interests: A four-wave, 8-year longitudinal study. Journal of Personality and Social Psychology, 118(5), 1044-1064. https://doi.org/10.1037/pspp0000228
Høgheim, S., & Reber, R. (2019). Interesting, but less interested: Gender differences and similarities in mathematics interest. Scandinavian Journal of Educational Research, 63(2), 285-299. https://doi.org/10.1080/00313831.2017.1336482
Hong, J. C., Chang, C. H., Tsai, C. R., & Tai, K. H. (2019). How situational interest affects individual interest in a STEAM competition. International Journal of Science Education, 41(12), 1667-1681. https://doi.org/10.1080/09500693.2019.1624992
Hong, J. C., Hwang, M. Y., & Tsai, C. R. (2021). The effect of object-Free and object-related intelligences on hands-on making self-efficacy and attitude toward quality improvement. International Journal of Science and Mathematics Education, 19, 863-879. https://doi.org/10.1007/s10763-020-10093-7
Hong, J. C., Hwang, M. Y., Tai, K. H., & Tsai, C. R. (2017). An exploration of students’ science learning interest related to their cognitive anxiety, cognitive load, self-confidence and learning progress using inquiry-based learning with an iPad. Research in Science Education, 47(6), 1193-1212. https://doi.org/10.1007/s11165-016-9541-y
Hong, J. C., Tsai, C. R., & Tai, K. H. (2021). iSTEAM contest on enhancing self-confidence in making miniature models: correlate to mastery orientation, engagement and interest. Research in Science & Technological Education, 1-18. https://doi.org/10.1080/02635143.2021.1909554
Hox, J. J. (2021). Confirmatory factor analysis. The Encyclopedia of Research Methods in Criminology and Criminal Justice, 2, 830-832. https://doi.org/10.100 2/9781119111931.ch158
Hsiao, S. J., & Tseng, H. T. (2020). The impact of the moderating effect of psychological health status on nurse healthcare management information system usage intention. Healthcare, 8(1), 28. https://doi.org/10.3390/healthcare8010028
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. https://doi.org/10.1080/10705519909540118
Hussein, Z. (2017). Leading to intention: The role of attitude in relation to technology acceptance model in e-learning. Procedia Computer Science, 105, 159-164. https://doi.org/10.1016/j.procs.2017.01.196
Ingalhalikar, M., Smith, A., Parker, D., Satterthwaite, T. D., Elliott, M. A., Ruparel, K., Hakonarson, H., Gur, R. C., & Verma, R. (2014). Sex differences in the structural connectome of the human brain. Proceedings of the National Academy of Sciences, 111(2), 823-828. https://doi.org/10.1073/pnas.1316909110
Jaipal-Jamani, K., & Angeli, C. (2017). Effect of robotics on elementary preservice teachers’ self-efficacy, science learning, and computational thinking. Journal of Science Education and Technology, 26(2), 175-192. https://doi.org/10.1007/s10956-016-9663-z
Jarrah, A. M., Khasawneh, O. M., & Wardat, Y. (2020). Implementing pragmatism and John Dewey's educational philosophy in Emirati elementary schools: case of mathematics and science teachers. International Journal of Education Economics and Development, 11(1), 58-75. https://doi.org/10.1504/IJEED.2020.104287
Jones, E. E., & Davis, K. E. (1965). From acts to dispositions the attribution process in person perception. Advances in experimental social psychology, 2, 219-266. https://doi.org/10.1016/S0065-2601(08)60107-0
Joreskog, K. G., & Sorbom, D. (1983). LISREL V: Analysis of linear structural relations by the method of maximum likelihood. National Education Resources.
Joreskog, K. G., & Sorbom, D. (1984). LISREL VI: Analysis of linear structural relationships by the method of maximum likelihood. Scientific Software Inc.
Joreskog, K. G., & Sorbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International.
Jufrida, J., Kurniawan, W., Astalini, A., Darmaji, D., Kurniawan, D. A., & Maya, W. A. (2019). Students' attitude and motivation in mathematical physics. International Journal of Evaluation and Research in Education, 8(3), 401-408. http://doi.org/10.11591/ijere.v8i3.20253
Juh, C. C., Lu, C. C., & Hong, J. C. (2021). A study of the relationship among self-efficacy, cognitive load, failure attribution and intention of continue participation in the" insect garden vr game". International Journal of Information and Education Technology, 11(11), 498-503. https://doi.org/10.18178/ijiet.2021.11.11.1556
Kahu, E. R., Nelson, K. J., & Picton, C. (2017). Student interest as a key driver of engagement for first year students. Student Success, 8(2), 55-66. https://doi.org/10.5204/ssj.v8i2.379
Kajonius, P. J., & Johnson, J. (2018). Sex differences in 30 facets of the five factor model of personality in the large public (N=320,128). Personality and Individual Differences, 129, 126–130. https://doi.org/10.1016/j.paid.2018.03.026
Kang, J., Hense, J., Scheersoi, A., & Keinonen, T. (2019). Gender study on the relationships between science interest and future career perspectives. International Journal of Science Education, 41(1), 80-101. https://doi.org/10.1080/0950069 3.2018.1534021
Kang, J., & Keinonen, T. (2017). The effect of inquiry-based learning experiences on adolescents’ science-related career aspiration in the Finnish context. International Journal of Science Education, 39(12), 1669-1689. https://doi.org/10.1080/0950069 3.2017.1350790
Kelley, H. H. (1973). The process of causal attribution. American Psychologist, 28, 107-128. https://doi.org/10.1037/h0034225
Khotimah, R. P., Adnan, M., Ahmad, C. N. C., & Murtiyasa, B. (2021). Science, Mathematics, Engineering, and Mathematics (STEM) education in Indonesia: a literature review. Journal of Physics: Conference Series, 1776(1), 012028. https://doi.org/10.1088/1742-6596/1776/1/012028
Kitchen, J. A., Sonnert, G., & Sadler, P. M. (2018). The impact of college- and university-run high school summer programs on students’ end of high school STEM career aspirations. Science Education, 102(3), 529-547. https://doi.org/ 10.1002/sce.21332
Kim, M. J., Hall, C. M., & Bonn, M. (2021). Can the value-attitude-behavior model and personality predict international tourists’ biosecurity practice during the pandemic?. Journal of Hospitality and Tourism Management, 48, 99-109. https://doi.org/10.1016/j.jhtm.2021.05.014
Kline, R. B. (2005). Principles and practice of structural equation modeling. Guilford.
Kline, R. B. (2011). Convergence of structural equation modeling and multilevel modeling. In M. Williams, & W. P. Vogt (Eds.), Handbook of methodological innovation in social research methods (pp. 562–589). London: Sage http://dx.doi.org/10.4135/9781446268261.n31
Köller, O., Baumert, J., & Schnabel, K. (2001). Does interest matter? The relationship between academic interest and achievement in mathematics. Journal for Research in Mathematics Education, 32(5), 448-470. https://doi.org/10.2307/749801
Krapp, A. (2005). Basic needs and the development of interest and intrinsic motivational orientations. Learning and Instruction, 15, 381-395. https://doi.org/10.1016/j.learninstruc.2005.07.007
Kucuk, S., & Sisman, B. (2020). Students’ attitudes towards robotics and STEM: Differences based on gender and robotics experience. International Journal of Child-Computer Interaction, 23, 100167. https://doi.org/10.1016/j.ijcci.2020.100167
Kurniawan, D. A., Astalini, A., Darmaji, D., & Melsayanti, R. (2019). Students' attitude towards natural sciences. International Journal of Evaluation and Research in Education, 8(3), 455-460. http://doi.org/10.11591/ijere.v8i3.16395
Kyriazos, T. A. (2018). Applied psychometrics: sample size and sample power considerations in factor analysis (EFA, CFA) and SEM in general. Psychology, 9(08), 2207. http://doi.org/10.4236/psych.2018.98126
Lau, S., & Roeser, R. W. (2002). Cognitive abilities and motivational processes in high school students’ situational engagement and achievement in science. Educational Assessment, 8, 139-162. https://doi.org/10.1207/S15326977EA0802_04
Leech, N. L., Barrett, K. C., & Morgan-Jr, G. A. (2005). SPSS for intermediate statistics: Use and interpretation. Routledge.
Lin, P. Y., Chai, C. S., Jong, M. S. Y., Dai, Y., Guo, Y., & Qin, J. (2021). Modeling the structural relationship among primary students’ motivation to learn artificial intelligence. Computers and Education: Artificial Intelligence, 2, 100006. https://doi.org/10.1016/j.caeai.2020.100006
Liou, P. Y., Wang, C. L., Lin, J. J., & Areepattamannil, S. (2021). Assessing students’ motivational beliefs about learning science across grade level and gender. The Journal of Experimental Education, 89(4), 605-624. https://doi.org/10.1080/00220973.2020.1721413
Loeffler, L. A., Radke, S., Habel, U., Ciric, R., Satterthwaite, T. D., Schneider, F., & Derntl, B. (2018). The regulation of positive and negative emotions through instructed causal attributions in lifetime depression–A functional magnetic resonance imaging study. NeuroImage: Clinical, 20, 1233-1245. https://doi.org/10.1016/j.nicl.2018.10.025
Lohbeck, A., Grube, D., & Moschner, B. (2017). Academic self-concept and causal attributions for success and failure amongst elementary school children. International Journal of Early Years Education, 25(2), 190-203. https://doi.org/10.1080/09669760.2017.1301806
Lowery, P. G., & Burrow, J. D. (2019). Concentrated disadvantage, racial disparities, and juvenile institutionalization within the context of attribution theory. Criminal Justice Studies, 32(4), 330-355. https://doi.org/10.1080/1478601X.2019.1660964
León-Mantero, C., Casas-Rosal, J. C., Maz-Machado, A., & Rico, M. E. V. (2020). Analysis of attitudinal components towards statistics among students from different academic degrees. PloS one, 15(1), e0227213. https://doi.org/10.1371/journal.pone.0227213
Lin, M. H., & Chen, H. G. (2017). A study of the effects of digital learning on learning motivation and learning outcome. Eurasia Journal of Mathematics, Science and Technology Education, 13(7), 3553-3564. https://doi.org/10.12973/eurasia.2017.00744a
MacCallum, R. (1986). Specification searches in covariance structure modeling. Psychological bulletin, 100(1), 107-120. https://doi.org/10.1037/0033-2909.100.1.107
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130. https://doi.org/10.1037/1082-989X.1.2.130
MacCallum, R. C., & Hong, S. (1997). Power analysis in covariance structure modeling using GFI and AGFI. Multivariate Behavioral Research, 32(2), 193-210. https://doi.org/10.1207/s15327906mbr3202_5
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2) ,293-334. https://doi.org/10.2307/23044045
Mantle-Bromley, C. (1995). Positive attitudes and realistic beliefs: Links to proficiency. Modern Language Journal, 79, 372-386. https://doi.org/10.1111/j.1540-4781.1995.tb01114.x
Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological bulletin, 103(3), 391. https://doi.org/10.1037/0033-2909.103.3.391
Martinko, M. J., & Gardner, W. L. (1987). The leader member attribution process. Academy of Management Review, 12, 235–249. https://doi.org/10.2307/258532
Martinko, M. J., & Thomson, N. F. (1998). A synthesis and extension of the Weiner and Kelley attribution models. Basic and Applied Social Psychology, 20, 271–284. https://doi.org/10.1207/s15324834basp2004_4
Martinko, M. J., & Mackey, J. D. (2019). Attribution theory: An introduction to the special issue. Journal of Organizational Behavior, 40(5), 523-527. https://doi.org/10.1002/job.2397
Maymon, R., Hall, N. C., Goetz, T., Chiarella, A., & Rahimi, S. (2018). Technology, attributions, and emotions in post-secondary education: An application of Weiner’s attribution theory to academic computing problems. PloS one, 13(3), e0193443. https://doi.org/10.1371/journal.pone.0193443
Mazana, M. Y., Montero, C. S., & Casmir, R. O. (2019). Investigating students’ attitude towards learning mathematics. International Electronic Journal of Mathematics Education, 14(1), 207-231. https://doi.org/10.29333/iejme/3997
McCarthy, M. M., Nugent, B. M., & Lenz, K. M. (2017). Neuroimmunology and neuroepigenetics in the establishment of sex differences in the brain. Nature Reviews Neuroscience, 18(8), 471. https://doi.org/10.1038/nrn.2017.61
McGrath, R. G. (1999). Falling forward: Real options reasoning and entrepreneurial failure. Academy of Management Review, 24(1), 13-30. https://doi.org/10.2307/259034
McIntyre, M. M., Gundlach, J. L., & Graziano, W. G. (2021). Liking guides learning: The role of interest in memory for STEM topics. Learning and Individual Differences, 85, 101960. https://doi.org/10.1016/j.lindif.2020.101960
McNeish, D., An, J., & Hancock, G. R. (2018). The thorny relation between measurement quality and fit index cutoffs in latent variable models. Journal of Personality Assessment, 100(1), 43-52. https://doi.org/10.1080/00223891.2017.1281286
Méndez López, M. G. (2020). Emotions attributions of ELT pre-service teachers and their effects on teaching practice. Profile Issues in TeachersProfessional Development, 22(1), 25-28. https://doi.org/10.15446/profile.v22n1.78613
Middleton, J. A., & Spanias, P. A. (1999). Motivation for achievement in mathematics: Findings, generalizations, and criticisms of the research. Journal for Research in Mathematics Education, 30(1), 65–88. https://doi.org/10.2307/749630
Mikami, A. Y., Lerner, M. D., & Lun, J. (2010). Social context influences on children’s rejection by their peers. Child Development Perspectives, 4(2), 123-130. https://doi.org/10.1111/j.1750-8606.2010.00130.x
Moghadam, F. A., Azad, S. A., Sahebalzamani, M., Farahani, H., & Jamaran, M. (2017). An investigation on the level of awareness, attitude, and interest among medicine, dentistry, and pharmacy students toward their majors on entering university: the case of Islamic Azad University, Tehran medical sciences branch. Journal of family medicine and primary care, 6(4), 784. https://doi.org/10.4103/jfmpc.jfmpc_224_17
Muenks, K., Wigfield, A., & Eccles, J. S. (2018). I can do this! The development and calibration of children’s expectations for success and competence beliefs. Developmental Review, 48, 24-39. https://doi.org/10.1016/j.dr.2018.04.001
Mulaik, S. A. (2009). Linear causal modeling with structural equations. Chapman & Hall/CRC.
Mullins, J. K., & Cronan, T. P. (2021). Enterprise systems knowledge, beliefs, and attitude: A model of informed technology acceptance. International Journal of Information Management, 59, 102348. https://doi.org/10.1016/j.ijinfomgt.2021.102348
OECD (2018). Programme For International Student Assessment (PISA). https://www.oecd.org/pisa/publications/pisa-2018-results.htm
Ong, K. J., Chou, Y. C., Yang, D. Y., & Lin, C. C. (2020). Creative drama in science education: The effects on situational interest, career interest, and science-related attitudes of science majors and non-science majors. EURASIA Journal of Mathematics, Science and Technology Education, 16(4), em1831. https://doi.org/10.29333/ejmste/115296
Oon, P. T., Cheng, M. M. W., & Wong, A. S. L. (2020). Gender differences in attitude towards science: methodology for prioritising contributing factors. International Journal of Science Education, 42(1), 89-112. https://doi.org/10.1080/09500693.2019.1701217
Park, C., Kim, D. G., Cho, S., & Han, H. J. (2019). Adoption of multimedia technology for learning and gender difference. Computers in Human Behavior, 92, 288-296. https://doi.org/10.1016/j.chb.2018.11.029
Park, S. W., Bauer, J. J., & Arbuckle, N. B. (2009). Growth motivation attenuates the self-serving attribution. Journal of Research in Personality, 43(5), 914-917. https://doi.org/10.1016/j.jrp.2009.04.013
Parker, P. C., Perry, R. P., Hamm, J. M., Chipperfield, J. G., Hladkyj, S., & Leboe-McGowan, L. (2018). Attribution-based motivation treatment efficacy in high-stress student athletes: A moderated-mediation analysis of cognitive, affective, and achievement processes. Psychology of Sport and Exercise, 35, 189-197. https://doi.org/10.1016/j.psychsport.2017.12.002
Pascarella, E. T., Edison, M., Hagedorn, L. S., Nora, A., & Terenzini, P. T. (1996). Influences on students' internal locus of attribution for academic success in the first year of college. Research in Higher Education, 37(6), 731-756. https://doi.org/10.1007/BF01792954
Perry, R. P., & Hamm, J. M. (2017). An attribution perspective on competence and motivation: Theory and treatment interventions. In A. Elliot, C. Dweck, & D. Yeager (Eds.), Handbook of competence and motivation: Theory and applications (2nd ed., pp. 61–84). New York, NY: Guilford Press
Peteros, E., Columna, D., Etcuban, J. O., Almerino Jr, P., & Almerino, J. G. (2019). Attitude and academic achievement of high school students in mathematics under the conditional cash transfer program. International Electronic Journal of Mathematics Education, 14(3), 583-597. https://doi.org/10.29333/iejme/5770
Piaget, J. (1964). Cognitive development in children: Development and learning, Journal of Research in Science Teaching, 2, 176-186. https://doi.org/10.1002/tea.3660020306
Pinquart, M., & Ebeling, M. (2020). Students’ expected and actual academic achievement–A meta-analysis. International Journal of Educational Research, 100, 101524. https://doi.org/10.1016/j.ijer.2019.101524
Rabgay, T. (2018). The effect of using cooperative learning method on tenth grade students' learning achievement and attitude towards Biology. International Journal of Instruction, 11(2), 265-280. https://doi.org/10.12973/iji.2018.11218a
Raykov, T., & Marcoulides, G.A. (2006). A first course in structural equation modeling (2nd ed.). Erlebaum.
Reddy, L. (2017). Gender differences in attitudes to learning science in grade 7. African Journal of Research in Mathematics, Science and Technology Education, 21(1), 26-36. https://doi.org/10.1080/18117295.2017.1279450
Renninger, K. A., Bachrach, J. E., & Hidi, S. E. (2019). Triggering and maintaining interest in early phases of interest development. Learning, Culture and Social Interaction, 23, 100260. https://doi.org/10.1016/j.lcsi.2018.11.007
Renninger, K. A., & Hidi, S. E. (2019). Interest development and learning. In K. A. Renninger & S. E. Hidi (Eds.), The Cambridge handbook of motivation and learning (pp. 265–290). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781316823279.013
Renninger, K. A., & Su, S. (2012). Interest and its development. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (pp. 167–187). New York, NY: Oxford University Press. https://doi.org/10.1093/oxfordhb/9780195399820.013.0011
Riar, F. J., Bican, P. M., & Fischer, J. (2021). It wasn’t me: Entrepreneurial failure attribution and learning from failure. International Journal of Entrepreneurial Venturing, 13(2), 113-136. https://doi.org/10.1504/IJEV.2021.114385
Robinson, J. A. (2017). Exploring attribution theory and bias. Communication Teacher, 31(4), 209-213. https://doi.org/10.1080/17404622.2017.1358387
Rosito, A. C. (2020). Academic achievement among university students: The role of causal attribution of academic success and failure. HUMANITAS: Indonesian Psychological Journal, 17(1), 23-33. https://doi.org/10.26555/humanitas.v17i1.11719
Rotgans, J. I., & Schmidt, H. G. (2011). Situational interest and academic achievement in the active-learning classroom. Learning and Instruction, 21(1), 58-67. https://doi.org/10.1016/j.learninstruc.2009.11.001
Rotgans, J. I., & Schmidt, H. G. (2017). Interest development: Arousing situational interest affects the growth trajectory of individual interest. Contemporary Educational Psychology, 49, 175–184. https://doi.org/10.1016/j.cedpsych.2017.02.003
Rotgans, J. I., & Schmidt, H. G. (2018). How individual interest influences situational interest and how both are related to knowledge acquisition: A microanalytical investigation. The Journal of Educational Research, 111(5), 530–540. https://doi.org/10.1080/00220671.2017.1310710
Sardegna, V. G., Lee, J., & Kusey, C. (2018). Self‐efficacy, attitudes, and choice of strategies for English pronunciation learning. Language Learning, 68(1), 83-114. https://doi.org/10.1111/lang.12263
Sánchez-Barrioluengo, M., & Benneworth, P. (2019). Is the entrepreneurial university also regionally engaged? Analysing the influence of university's structural configuration on third mission performance. Technological Forecasting and Social Change, 141, 206-218. https://doi.org/10.1016/j.techfore.2018.10.017
Sawyer, R. K. (2019). The role of failure in learning how to create in art and design. Thinking Skills and Creativity, 33, 100527. https://doi.org/10.1016/j.tsc.2018.08.002
Schneider, B., & Cheslock, N. (2003). Measuring results: Gaining insight on behavior change strategies and evaluation methods from environmental education, museum, health, and social marketing programs. Coevolution Institute Understanding Metrics Project.
Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural equation modeling. Lawrence Erlbaum Associates. https://doi.org/10.4324/9781410610904
Schwaba, T., & Bleidorn, W. (2018). Individual differences in personality change across the adult life span. Journal of Personality, 86(3), 450-464. https://doi.org/10.1111/jopy.12327
Seo, D., Ahluwalia, A., Potenza, M. N., & Sinha, R. (2017). Gender differences in neural correlates of stress‐induced anxiety. Journal of Neuroscience Research, 95(1-2), 115-125. https://doi.org/10.1002/jnr.23926
Shepherd, D. A., & Gruber, M. (2021). The lean startup framework: Closing the academic–practitioner divide. Entrepreneurship Theory and Practice, 45(5), 967-998. https://doi.org/10.1177/1042258719899415
Shin, M., & Bolkan, S. (2021). Intellectually stimulating students’ intrinsic motivation: the mediating influence of student engagement, self-efficacy, and student academic support. Communication Education, 70(2), 146-164. https://doi.org/10.1080/03634523.2020.1828959
Simegn, E. M., & Asfaw, Z. G. (2018). Assessing the influence of attitude towards mathematics on achievement of grade 10 and 12 female students in comparison with their male counterparts: Wolkite, Ethiopia. International Journal of Secondary Education, 5(5), 56. https://doi.org/10.11648/j.ijsedu.20170505.11
Simpson, A., & Maltese, A. (2017). “Failure is a major component of learning anything”: The role of failure in the development of STEM professionals. Journal of Science Education and Technology, 26(2), 223-237. https://doi.org/10.1007/s10956-016-9674-9
Sisman, B., Kucuk, S., & Yaman, Y. (2021). The effects of robotics training on children’s spatial ability and attitude toward STEM. International Journal of Social Robotics, 13(2), 379-389. https://doi.org/10.1007/s12369-020-00646-9
Springer, S. E., Harris, S., & Dole, J. A. (2017). From surviving to thriving: Four research‐based principles to build students’ reading interest. The Reading Teacher, 71(1), 43-50. https://doi.org/10.1002/trtr.1581
Stoet, G., & Geary, D. C. (2018). The gender-equality paradox in science, technology, engineering, and mathematics education. Psychological Science, 29(4), 581–593. https://doi.org/10.1177/0956797617741719
Su, L., Gong, Q., & Huang, Y. (2020). How do destination social responsibility strategies affect tourists’ intention to visit? An attribution theory perspective. Journal of Retailing and Consumer Services, 54, 102023. https://doi.org/10.1016/j.jretconser.2019.102023
Suganda, E., Latifah, S., Sari, P. M., Rahmayanti, H., Ichsan, I. Z., & Rahman, M. M. (2021). STEAM and Environment on students’ creative-thinking skills: A meta-analysis study. Journal of Physics: Conference Series, 1796(1), 012101. https://doi.org/10.1088/1742-6596/1796/1/012101
Sukariyah, M. B., & Assaad, G. (2015). The effect of attribution retraining on the academic achievement of high school students in mathematics. Procedia-Social and Behavioral Sciences, 177, 345-351. https://doi.org/10.1016/j.sbspro.2015.02.356
Syarif, E., Syamsunardi, S., & Saputro, A. (2020). Implementation of discovery learning to improve scientific and cognitive attitude of students. Journal of Educational Science and Technology, 6(1), 23-31. https://doi.org/10.26858/est.v6i1.11975
Tahirsylaj, A. S. (2012). Stimulating creativity and innovation through Intelligent Fast Failure. Thinking skills and Creativity, 7(3), 265-270. https://doi.org/10.1016/j.tsc.2012.05.005
Tamborini, R., Grall, C., Prabhu, S., Hofer, M., Novotny, E., Hahn, L., & Sethi, N. (2018). Using attribution theory to explain the affective dispositions of tireless moral monitors toward narrative characters. Journal of Communication, 68(5), 842-871. https://doi.org/10.1093/joc/jqy049
Tao, V. Y., Li, Y., Lam, K. H., Leung, C. W., Sun, C. I., & Wu, A. M. (2021). From teachers’ implicit theories of intelligence to job stress: The mediating role of teachers’ causal attribution of students’ academic achievement. Journal of Applied Social Psychology, 51(5), 522-533. https://doi.org/10.1111/jasp.12754
Teppo, M., Soobard, R., & Rannikmäe, M. (2021). Grade 6 & 9 Student and teacher perceptions of teaching and learning approaches in relation to student perceived interest/enjoyment towards science learning. Journal of Baltic Science Education, 20(1), 119-133. https://doi.org/ 10.33225/jbse/21.20.119
Thuneberg, H., Salmi, H., & Fenyvesi, K. (2017). Hands-on math and art exhibition promoting science attitudes and educational plans. Education Research International, 1-13. https://doi.org/10.1155/2017/9132791
Thuneberg, H. M., Salmi, H. S., & Bogner, F. X. (2018). How creativity, autonomy and visual reasoning contribute to cognitive learning in a STEAM hands-on inquiry-based math module. Thinking Skills and Creativity, 29, 153-160. https://doi.org/10.1016/j.tsc.2018.07.003
Troussas, C., & Virvou, M. (2020). Regression-Based affect recognition and handling using the attribution theory. In Advances in Social Networking-based Learning (pp. 121-134). Springer, Cham. https://doi.org/10.1007/978-3-030-39130-0_7
Tural, G. (2018). Impact of hands-on instructions on students' cognitive achievement. MIER Journal of Educational Studies Trends & Practices, 164-170. https://doi.org/10.52634/mier/2018/v8/i2/1390
Walsh, G. S., & Cunningham, J. A. (2017). Regenerative failure and attribution: Examining the underlying processes affecting entrepreneurial learning. International Journal of Entrepreneurial Behavior & Research, 23(4), 688-707. https://doi.org/10.1108/IJEBR-03-2015-0072
Wang, H., Shen, B., & Bo, J. (2021). Examining situational interest in physical education: A new inventory. Journal of Teaching in Physical Education, 1(aop), 1-8. https://doi.org/10.1123/jtpe.2020-0218
Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92(4), 548. https://doi.org/10.1037/0033-295X.92.4.548
Weiner, B. (2000). Intrapersonal and interpersonal theories of motivation from an attributional perspective. Educational Psychology Review, 12(1), 1-14. https://doi.org/10.1007/978-1-4615-1273-8_2
Weiner, B. (2001). Intrapersonal and interpersonal theories of motivation from an attribution perspective. In: Student motivation (pp. 17-30). Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1273-8_2
Weiner, B. (2018). The legacy of an attribution approach to motivation and emotion: A no-crisis zone. Motivation Science, 4(1), 4-14. https://doi.org/10.1037/mot0000082
Weiner, B. (2010). The development of an attribution-based theory of motivation: A history of ideas. Educational Psychologist, 45(1), 28-36. https://doi.org/10.1080/00461520903433596
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913-934. https://doi.org/10.1177/0013164413495237
Woodcock, S., & Faith, E. (2021). Am I to blame? Teacher self-efficacy and attributional beliefs towards students with specific learning disabilities. Teacher Development, 25(2), 215-238. https://doi.org/10.1080/13664530.2020.1863256
Wright, E. F., Lüüs, C. E., & Christie, S. D. (1990). Does group discussion facilitate the use of consensus information in making causal attributions?. Journal of Personality and Social Psychology, 59(2), 261-269. https://doi.org/10.1037/0022-3514.59.2.261
Wu, J., Guo, R., Wang, Z., & Zeng, R. (2021). Integrating spherical video-based virtual reality into elementary school students’ scientific inquiry instruction: effects on their problem-solving performance. Interactive Learning Environments, 29(3), 496-509. https://doi.org/10.1080/10494820.2019.1587469
Yamakawa, Y., Peng, M.W., & Deeds, D.L. (2015). Rising from the ashes: Cognitive determinants of venture growth after entrepreneurial failure. Entrepreneurship Theory and Practice, 39(2), 209–236. https://doi.org/10.1111/etap.12047
Yamtinah, S., Masykuri, M., Ashadi., & Shidiq, A. S. (2017). Gender differences in students’ attitudes toward science: An analysis of students’ science process skill using testlet instrument. AIP Conference Proceedings, 1868(1), 030003. https://doi.org/10.1063/1.4995102
Yeh, C. Y., Cheng, H. N., Chen, Z. H., Liao, C. C., and Chan, T. W. (2019). Enhancing achievement and interest in mathematics learning through Math-Island. Research and Practice in Technology Enhanced Learning, 14(1), 1-19. https://doi.org/10.1186/s41039-019-0100-9
Yi, Q., & Hohashi, N. (2018). Comparison of perceptions of domestic elder abuse among healthcare workers based on the Knowledge-Attitude-Behavior (KAB) model. PLoS One, 13(11), e0206640. https://doi.org/10.1371/journal.pone.0206640
Zaidi, Z. F. (2010). Gender differencves in human brain: a review. The Open Anatomy Journal, 2(1), 37-55. https://doi.org/10.2174/1877609401002010037
Zhang, C., Dougherty, C. C., Baum, S. A., White, T., & Michael, A. M. (2018). Functional connectivity predicts gender: Evidence for gender differences in resting brain connectivity. Human Brain Mapping, 39(4), 1765-1776. https://doi.org/10.1002/hbm.23950
Zhang, X., Liang, M., Qin, W., Wan, B., Yu, C., & Ming, D. (2020). Gender differences are encoded differently in the structure and function of the human brain revealed by multimodal MRI. Frontiers in Human Neuroscience, 14. https://doi.org/10.3389/fnhum.2020.00244
Ziaeefard, S., Miller, M. H., Rastgaar, M., & Mahmoudian, N. (2017). Co-robotics hands-on activities: A gateway to engineering design and STEM learning. Robotics and Autonomous Systems, 97, 40-50. https://doi.org/10.1016/j.robot.2017.07.013
Zidny, R., Sjöström, J., & Eilks, I. (2020). A multi-perspective reflection on how indigenous knowledge and related ideas can improve science education for sustainability. Science & Education, 29(1), 145-185. https://doi.org/10.1007/s11191-021-00194-2
Zimmerman, B. J. (1989). Models of self-regulated learning and academic achievement. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement (pp. 1–25). New York, NY: Springer. https://doi.org/10.1007/978-1-4612-3618-4_1
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