中文部分
丁育萱（2016）。療癒系插畫的需求層次研究與創作（未出版碩士論文）。臺中科技大學。
文化部（2018 年 6 月 22 日）。文資活現，內容力升級，臺灣數位模型庫示範虛實整合 鄭麗君：帶領臺灣內容力再升級！。文化部新聞網。檢自：https://www.moc.gov.tw/information_250_87101.html
王少妤，（2013）。兒童數位故事創作與分享系統之設計（未出版之碩士論文）。國立成功大學。
台灣設計研究院（2021年1月12日）。2020台灣設計力報告：揭露設計產業十大關鍵議題，洞察經營樣貌、未來機會與策略方向。台灣設計研究院。https://www.tdri.org.tw/32324/
朱有聖（2013）。動態幾何軟體融入小組合作教學法與討論教學法對國中學生二度空間概念學習成效之研究（未出版碩士論文）。交通大學。
吳清山（2020）。適性學習。教育研究月刊，313，170-171。
吳裕益（1987）。認知能力與認知型態個別差異現象之探討。教育學刊，7，51-98。
宋嘉恩（2007）。台北縣國小學童空間能力與推理能力相關因素研究（未出版碩士論文）。台北市立教育大學。
李承傑、董旭英（2017）。偏最小平方法結構方程模型。科學發展，539，20-25。
汪冠宏、劉明洲（2010）。以網路虛擬實習工場促進高職學生自我效能之研究。數位學習科技期刊，2（1），45-59。
林清山（1985）。魏肯氏心理分化理論相關問題之實徵性研究。教育心理學報，18，39-56。
林漢裕、李玉琇（2010）。空間短期記憶，空間工作記憶與空間能力對圖學表現的影響。設計學報，15（4），1-18。https://doi.org/10.6381/JD.201012.0001。
洪周位（2010）。大專校院室內設計系學生工作價值觀之分析研究（未出版碩士論文）。臺灣師範大學。
洪榮昭、詹瓊華（2018）。共變推理遊戲：遊戲自我效能與後設認知影響遊戲中的焦慮，興趣及表現之研究。教育科學研究期刊，63（3），131-162。
胡淑華、蔡孟蓉（2019）。國中實施機器人STEAM跨領域課程研究：以彰化縣二水國中為例。數位學習科技期刊，11(4)，51-75。
范靜媛、葉建宏（2020）。設計自我效能，設計興趣和STEM學習表現之相關分析：以時尚設計為例。教育科學研究期刊，65（1），221-246。
張正杰、莊秀卿、羅綸新（2014）。多媒體呈現模式與認知風格對國小自然科學學習成效之影響。教育傳播與科技期刊，108，31-48。
張春興（2010）。教育心理學－三化取向的理論與實踐（重修二版）。台北市: 東華。
張美枝（2009）。護理人員專業能力與工作成就感之相關研究－以南部護理之家為例（未出版之碩士論文）。美和科技大學。
張哲豪、袁媛（2011）。桃園縣國中學生空間能力之調查研究。2011第三屆科技與數學教育學術研討會論文集（393-402頁）。臺北市：旗標。
張菽萱、王志蓮、李金泉（2015）。品味能力對個人創意之影響：創意自我效能的中介效果與學校創意支持的調節式中介效果之探討。科學教育學刊，23（4），397-419。
莊宗嚴、陶淑瑗、蘇漢斌（2018）。探討相異認知風格學習者對於數位遊戲介面元素之偏好。數位學習科技期刊，10（3），21-47。
陳勁志（2005）。探討空間能力對高一學生電磁學學習成就之影響（未出版碩士論文）。高雄師範大學。
陳姿諭（2017）。多媒體呈現方式對不同空間能力九年級學生" 電流磁效應" 學習成效之影響（未出版碩士論文）。國立中正大學。
陳寬裕（2018）。結構方程模型分析實務: SPSS 與 SmartPLS 的運用。五南圖書出版股份有限公司。
陳寬裕（2021）。論文統計完全攻略：統計小白也能變達人。五南圖書出版股份有限公司。
曾盈秀（2018）。提升學生學習動機之策略。臺灣教育評論月刊，7（9），138-142。
童小珠、徐美惠、黃采靚、林榮貞、林宜君、李兆建、陳明宏（2016）。藝術創作方案對養護機構老人身心健康影響之探討。蘭陽學報，15，29-36。
黃詩婷（2017）。探討寫實繪畫者的觀察策略與認知風格（未出版博士論文）。交通大學。
楊嘉敏（2012）。沒有孩子願意變壞。台北：凱信企管。
溫嘉榮、鄭國明、郭勝煌（2010）。以 PBL 問題導向高層次思考之行動學習模式探討。工業科技教育學刊，3，9-15。
葉炳煙（2013）。學習動機定義與相關理論之研究。屏東教大體育第 16 期。
熊婉容（2008）。創作人調適與成長之歷程－創意市集創作者經驗探討（未出版碩士論文）。國立臺北藝術大學。
趙偉順（2012）。國中生認知風格與科技創作表現關係之研究（未出版碩士論文）。臺灣師範大學。
趙珮晴、余民寧（2012）。自律學習策略與自我效能，學習興趣，學業成就的相關研究。教育研究集刊，58（3），1-32。
歐陽鍾玲（1999）。國小鄉土地理教學：孩童鄉土空間意識的形成與範圍的認定。載於蔡文彩主編，國立台灣師範大學第三屆台灣地理學術研討會論文集（頁13-23）。台北：國立台灣師範大學。
蔡秀妤、顏佩如（2021）。教師運用情境學習於生活課程培養國小二年級學童學習興趣之行動研究。臺灣教育評論月刊，10（1），204-211。
鄭力嘉（2008）。藝術創作活動的休閒效益之研究（未出版碩士論文）。國立臺東大學。
鄭雅芬（2011）。自我實現、價值感、成就感與志趣發展對教師教學工作滿意度影響之結構方程模式研究（未出版碩士論文）。國立臺中教育大學。
鄭瑞洲、洪振方、黃台珠（2011）。情境興趣－制式與非正式課程科學學習的交會點。科學教育月刊，340，1-9。
賴麗香（2013）。科技大學生對於會計課程學習成就感之研究。商管科技季刊，14（1），1-30。
豐子愷（1987）。豐子愷論藝術。臺北市：丹青。

英文部分
Ainley, M. D., Hidi, S., & Berndorff, D. (2002). Interest, learning, and the psychological processes that mediate their relationship. Journal of Educational Psychology, 94, 1–17. http://dx.doi.org/10.1037/0022-0663.94.3.545
Ainley, M., & Ainley, J. (2011). Student engagement with science in early adolescence: The contribution of enjoyment to students’ continuing interest in learning about science. Contemporary Educational Psychology, 36(1), 4-12.
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
Arslan, A. (2012). Predictive power of the sources of primary school students'' self-efficacy beliefs on their self-efficacy beliefs for learning and performance. Educational Sciences: Theory and Practice, 12(3), 1915-1920.
Avsec, S., & Szewczyk-Zakrzewska, A. (2018). Engineering students’ self-efficacy and goal orientations in relation to their engineering design ability. Global Journal of Engineering Education, 20(2), 85-90.
Awang, P. (2015). SEM made simple: A gentle approach to learning Structural Equation Modeling. MPWS Rich Publication, Bangi.
Baddeley, A.D. (1996). Exploring the central executive. Quarterly Journal of Experimental Psychology, 49A, 5–28.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215. https://doi.org/10.1037/0033-295X.84.2.191
Bandura, A. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of Clinical and Social Psychology, 4, 359-373
Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71-81). New York: Academic Press. (Reprinted in H. Friedman [Ed.], Encyclopedia of mental health. San Diego: Academic Press, 1998).
Bandura, A. (1997). Self-efficacy: The exercise of control. W H Freeman/Times Books/ Henry Holt & Co.
Bandura, A. (2006). Guide for constructing self-efficacy scales. In M. F. Pajares &. T. Urdan (Eds.), Self-efficacy beliefs of adolescents (Vol. 5, pp. 307-337). Greenwich, CT: Information Age.
Bandura, A., & Walters, R. H. (1977). Social learning theory (Vol. 1). Prentice Hall: Englewood cliffs.
Bednar, A., Cunningham, D. J., Duffy, T., & Perry, D. (1992). Theory in practice: How do we link? In G. Anglin (Ed.), Instructional technology: Past, present, and future (2nd ed., pp. 100–112). Englewood, CO: Libraries Unlimited.
Biggs, J. B. (1978). Individual and group differences in study processes. British Journal of Educational Psychology, 48(3), 266-279.
Blajenkova, O., Kozhevnikov, M., & Motes, M. A. (2006). Object‐spatial imagery: A new self‐report imagery questionnaire. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 20(2), 239-263.
Blazhenkova, O., & Kozhevnikov, M. (2009). The new object‐spatial‐verbal cognitive style model: Theory and measurement. Applied Cognitive Psychology: The Official Journal of the Society for Applied Research in Memory and Cognition, 23(5), 638-663.
Boakes, N. J. (2009). Origami instruction in the middle school mathematics classroom: Its impact on spatial visualization and geometry knowledge of students. RMLE Online, 32(7), 1-12.
Bodine, C. (2006). Assistive technologies in spatial environments. Cognitive Processing, 7(1), 167-167.
Boeykens, S. (2011). Using 3D Design software, BIM and game engines for architectural historical reconstruction. Designing Together-CAADfutures 2011, 493-509.
Carberry, A. R., Lee, H. S., & Ohland, M. W. (2010). Measuring engineering design self‐efficacy. Journal of Engineering Education, 99(1), 71-79.
Chang, Y. S., Chen, M. Y. C., Chuang, M. J., & Chou, C. H. (2019). Improving creative self-efficacy and performance through computer-aided design application. Thinking Skills and Creativity, 31, 103-111.
Chang, Y. S., Kao, J. Y., Wang, Y. Y., & Huang, S. C. (2021). Effects of cloud-based learning on student’s engineering design creativity with different creative self-efficacy. Thinking Skills and Creativity, 40, 100813 https://doi.org/10.1016/j.tsc.2021.100813
Cheng, Y. L., & Mix, K. (2014). Does spatial training Improve children''s mathematics ability? Journal of Cognition and Development, 15(1), 2–11.
Chien, Y. H., Lin, K. Y., Hsiao, H. S., Chang, Y. S., & Chan, S. C. (2022). Measuring industrial design self-efficacy and anxiety. International Journal of Technology and Design Education, 32(2), 1317–1336. https://doi.org/10.1007/s10798-020-09648-0
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Chin, W.W. (2010). Bootstrap cross-validation indices for PLS Path model assessment. In V. Esposito Vinzi, W. Chin, J. Henseler, & H. Wang (Eds.), Handbook of partial least squares (pp. 83-97). Springer Handbooks of Computational Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32827-8_4
Cho, J. Y. (2017). An investigation of design studio performance in relation to creativity, spatial ability, and visual cognitive style. Thinking Skills and Creativity, 23, 67-78. https://doi.org/10.1016/j.tsc.2016.11.006
Clinton, V., & van den Broek, P. (2012). Interest, inferences, and learning from texts. Learning and Individual Differences, 22(6), 650–663. https://doi.org/10.1016/j.lindif.2012.07.004
Collins, D. W., & Kimura, D. (1997). A large sex difference on a 41 two dimensional mental rotation task. Behavioral Neuroscience, 111, 845-849.
Conard, M. A., & Marsh, R. F. (2014). Interest level improves learning but does not moderate the effects of interruptions: An experiment using simultaneous multitasking. Learning and Individual Differences, 30, 112-117. http://dx.doi.org/10.1016/j.lindif.2013.11.004
Cor, M. K. (2016). Trust me, it is valid: Research validity in pharmacy education research. Currents in Pharmacy Teaching and Learning, 8(3), 391-400. http://dx.doi.org/10.1016/j.cptl.2016.02.014
Crookes, G. (1986). Task classification: A crossdisciplinary review (Tech. Rep. No. 4). Honolulu: Center for Second Language Classroom Research, Social Science Research Institute, University of Hawaii at Manoa.
Denson, C. D., Kelly, D. P., & Clark, A. C. (2018). Developing an instrument to measure student self-efficacy as it relates to 3D modeling. Engineering Graphics Design Journal, 82(3), 1-9.
DeTure, M. (2004). Cognitive style and self-efficacy: Predicting student success in online distance education. American Journal of Distance Education, 18(1), 21-38. https://doi.org/10.1207/s15389286ajde1801_3
Duxbury, J. (2003). Testing a new tool: The management of aggression and violence attitude scale (MAVAS). Nurse Researcher, 10(4), 113-127. http://dx.doi.org/10.7748/nr2003.07.10.4.39.c5906
Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7, 1-26.
Ekstrom, R. B., French, J. W., Harman, H. H., & Dermen, D. (1976). Manual for kit of factor-referenced cognitive tests. Princeton, NJ: Educational testing service.
Feingold, A. (1988). Cognitive gender differences are disappearing. American Psychologist, 43(2), 95.
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
Frick, R. W. (1992). Interestingness. British Journal of Psychology, 83(1), 113-128. https://doi.org/10.1111/j.2044-8295.1992.tb02427.x
Fryer, L. K., & Ainley, M. (2019). Supporting interest in a study domain: A longitudinal test of the interplay between interest, utility-value, and competence beliefs. Learning and Instruction, 60, 252-262.
Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. NY: Basic Books.
George, D., & Mallery, P. (2019). IBM SPSS statistics 26 step by step: A simple guide and reference. Routledge.
Guzal, N, & Sener, E. (2009). High school student’s spatial ability and creativity in geometry. Social and Behavioral Sciences, 1(1), 1763-1766.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis (7th ed.). London, UK: Pearson Education Limited.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152. https://doi.org/10.2753/MTP1069-6679190202
Heslin, P. A., & Klehe, U. C. (2006). Self-efficacy. In S. G. Rogelberg (Ed.), Encyclopedia of industrial/organizational psychology (Vol. 2, pp. 705-708). Thousand Oaks: Sage.
Hetland, L., Winner, E., Veenema, S., & Sheridan, K. M. (2015). Studio thinking 2: The real benefits of visual arts education. Teachers College Press.
Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Pychologist, 41(2), 111-127.
Hilton, E. C., Talley, K. G., Smith, S. F., Nagel, R. L., & Linsey, J. S. (2020). Report on engineering design self-efficacy and demographics of makerspace participants across three universities. Journal of Mechanical Design, 142(10), 102301.
Ho, C. H. (2006). Spatial cognition in design. (Unpublished doctoral dissertation). Georgia Institute of Technology, Atlanta, Georgia.
Hong, J. C., Hwang, M. Y., Liu, M. C., Ho, H. Y., & Chen, Y. L. (2014). Using a “prediction–observation–explanation” inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure. Computers & Education, 72, 110-120. http://dx.doi.org/10.1016/j.compedu.2013.10.004
Hong, J. C., Hwang, M. Y., Szeto, E., Tsai, C. R., Kuo, Y. C., & Hsu, W. Y. (2016). Internet cognitive failure relevant to self-efficacy, learning interest, and satisfaction with social media learning. Computers in Human Behavior, 55, 214-222.
Hong, J. C., Ye, J. H., Chen, M. L., Ye, J. N., & Kung, L. W. (2021). Intelligence beliefs predict spatial performance in virtual environments and graphical creativity performance. Frontiers in Psychology, 12, 671635. https://doi.org/10.3389/fpsyg.2021.671635
Hong, J.-C., Ye, J.-H., & Fan, J.-Y. (2019). STEM in fashion design: The roles of creative self-efficacy and epistemic curiosity in creative performance. Eurasia Journal of Mathematics, Science and Technology Education, 15(9), em1742. https://doi.org/10.29333/ejmste/108455
Hui, E. C. M., & Bao, H. (2013). The logic behind conflicts in land acquisitions in contemporary China: A framework based upon game theory. Land Use Policy, 30(1), 373-380. doi:10.1016/ j.landusepol.2012.04.001
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204.
Hutchins, H. M. (2004). Enhancing skill maintenance through relapse prevention strategies: A comparison of two models. University of North Texas.
Karagiorgi, Y., & Symeou, L. (2005). Translating constructivism into instructional design: Potential and limitations. Journal of Educational Technology & Society, 8(1), 17-27.
Kelly, D. P., & Denson, C. D. (2020). Reliability and validity for a 3-D modeling self-efficacy scale for pre-college students. The Journal of Technology Studies, 46(2), 44-51. https://www.jstor.org/stable/48647052
Khan, M., & Ibrahim, M. (2019). Impact of project-based learning on self-efficacy of students in engineering modeling and design courses. In 2019 IEEE Integrated STEM Education Conference (ISEC) (pp. 281-286). IEEE.
Kirby, J. R., Moore, P. J., & Schofield, N. J. (1988). Verbal and visual learning styles. Contemporary Educational Psychology, 13(2), 169–184. https://doi.org/10.1016/0361-476X(88)90017-3
Kirton, M. J. (2011). Adaption-innovation: In the context of diversity and change. London, UK: Routledge.
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & Education, 104, 18-33. https://doi.org/10.1016/j.compedu.2016.10.001
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Kosslyn, S. M. (1994). Image and brain: The resolution of the imagery debate. Cambridge, MA: MIT Press.
Kozhevnikov, M., Kosslyn, S. M., & Shepard, J. (2005). Spatial versus object visualizers: a new characterization of visual cognitive style. Memory and Cognition, 33, 710-726. https://doi.org/10.3758/BF03195337
Krapp, A. (2000). Interest and human development during adolescence: An educational-psychological approach. In J. Heckhausen (Ed.), Motivational psychology of human development (pp. 109–128). London: Elsevier
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122. https://doi.org/10.1006/jvbe.1994.1027
Li, H., Zhang, Y., Wu, C., & Mei, D. (2016). Effects of field dependence-independence and frame of reference on navigation performance using multi-dimensional electronic maps. Personality and individual differences, 97, 289-299.
Linn, M. C., & Petersen, A. C. (1986). A meta-analysis of gender differences in spatial ability: Implications for mathematics and science achievement. In J. S. Hyde & M. C. Linn (Eds.), The psychology of gender: Advances through meta-analysis (pp. 67-101). Baltimore, MD: Johns Hopkins University Press.
Lohman, D. F. (1979). Spatial ability: A review and re-analysis of the correlational literature (Technical Report No. 8). Stanford, CA: Aptitudes Research Project, School of Education, Stanford University.
Long, M. (1985). A role for instruction in second language acquisition: task-based language teaching. In K. Hyltenstam & M. Pienemann (Eds.), Modelling and assessing second language acquisition. (pp. 77-99). Clevedon: Multilingual Matt
Luszczynska, A., Scholz, U., & Schwarzer, R. (2005). The general self-efficacy scale: multicultural validation studies. The Journal of Psychology, 139(5), 439-457. https://doi.org/10.3200/JRLP.139.5.439-457
Mackintosh, N. J. (2011). History of theories and measurement of intelligence. In R. J. Sternberg & S. B. Kaufman (Eds.), The Cambridge handbook of intelligence (pp. 3-19). New York, NY: Cambridge University Press.
MacLeod, C. M., Jackson, R. A., & Palmer, J. (1986). On the relation between spatial ability and field dependence. Intelligence, 10(2), 141-151. https://doi.org/10.1016/0160-2896(86)90011-5
Maddux, J. E., & Gosselin, J. T. (2012). Self-efficacy. The Guilford Press.
Magen-Nagar, N., & Cohen, L. (2017). Learning strategies as a mediator for motivation and a sense of achievement among students who study in MOOCs. Education and Information Technologies, 22(3), 1271-1290. https://doi.org/10.1007/s10639-016-9492-y
Masters, M. S., & Sanders, B. (1993). Is the gender difference in mental rotation disappearing? Behavior Genetics, 23(4), 337-341. https://doi.org/10.1007/BF01067434
McAndrew, F. T. (1993). Environmental psychology. Thomson Brooks/Cole Publishing Co.
McClelland, D. C. (1965). Toward a theory of motive acquisition. American Psychologist, 20(5), 321–333. http://dx.doi.org/10.1037/h0022225
McCormack, A. (2011). Don’t verbalize, visualize. NSTA Reports, 22(7), 10-11.
McCormack, A. J. (1988). Visual/spatial thinking: An essential element of elementary science. Council for Elementary Science International.
McGee, M. G. (1979). Human spatial abilities: Psychometric studies and environmental, genetic, hormonal, and neurological influences. Psychological Bulletin, 86(5), 889-918. https://doi.org/10.1037/0033-2909.86.5.889
Messick, S. (1976). Individuality in learning. Jossey-Bass.
Miyake, A., Witzki, A. H., & Emerson, M. J. (2001). Field dependence–independence from a working memory perspective: A dual-task investigation of the Hidden Figures Test. Memory, 9(4-6), 445-457. https://doi.org/10.1080/09658210143000029
Mondiana, Y. Q., Pramoedyo, H., & Sumarminingsih, E. (2018). Structural equation modeling on Likert scale data with transformation by successive interval method and with no transformation. International Journal of Scientific and Research Publications, 8, 398-405.
Mou, T. Y. (2020). Students'' evaluation of their experiences with project-based learning in a 3D design class. The Asia-Pacific Education Researcher, 29(2), 159-170.
Moursund, D. (1999). Project-based learning using information technology. Eugene, OR: International Society for Technology in Education.
Müller, F. H., & Louw, J. (2004). Learning environment, motivation and interest: Perspectives on self-determination theory. South African Journal of Psychology, 34(2), 169-190.
Naurzalina, D., Karimova, A., Sarkulov, M., Tolegenova, A., Zholamanova, A., & Almurzayeva, B. (2015). Cognitive style and gender differencies in spatial abilities. In Z. Bekirogullari, & M. Y. Minas (Eds.), Cognitive - Social, and Behavioural Sciences – icCSBs 2015 January, vol 2. European Proceedings of Social and Behavioural Sciences (pp. 95-105). Future Academy. https://doi.org/10.15405/epsbs.2015.01.11
Nye, C. D., Su, R., Rounds, J., & Drasgow, F. (2012). Vocational interests and performance: A quantitative summary of over 60 years of research. Perspectives on Psychological Science, 7(4), 384-403. https://doi.org/10.1177/1745691612449021
Olson, D. R. (2005). Technology and intelligence in a literate society. In R. J. Sternberg & D. D. Preiss (Eds.), Intelligence and technology: The impact of tools on the nature and development of human abilities (pp. 55-67). Mahwah, NJ: Lawrence Erlbaum.
Oxman, R. (2002). The thinking eye: Visual re-cognition in design emergence. Design Sudies, 23(2), 135-164.
Pellegrino, J. W., & Kail, R. (1982). Process analyses of spatial aptitude. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 1, pp. 311-365). Hillsdale, NJ: Lawrence Erlbaum.
Posner, M. I., & Snyder, C. R. R. (2004). Attention and Cognitive Control. In D. A. Balota & E. J. Marsh (Eds.), Cognitive psychology: Key readings (pp. 205–223). Psychology Press.
Renninger, K. A., & Hidi, S. (2002). Student interest and achievement: Developmental issues raised by a case study. In A. Wigfield & J. S. Eccles (Eds.), Development of achievement motivation (pp. 173–195). Academic Press. https://doi.org/10.1016/B978-012750053-9/50009-7
Renninger, K. A., Hidi, S., Krapp, A., & Renninger, A. (2014). The role of interest in learning and development. Psychology Press.
Repovš, G., & Baddeley, A. (2006). The multi-component model of working memory: explorations in experimental cognitive psychology. Neuroscience, 139(1), 5-21. https://doi.org/10.1016/j.neuroscience.2005.12.061
Richardson, A. (1977). Verbalizer-visualizer: A cognitive style dimension. Journal of Mental Imagery, 1(1), 109-125.
Riding, R. J., & Cheema, I. (1991). Cognitive styles: An overview and integration. Educational Psychology, 11, 193-215.
Rittschof, K. A. (2010). Field dependence–independence as visuospatial and executive functioning in working memory: Implications for instructional systems design and research. Educational Technology Research and Development, 58(1), 99–114. https://doi.org/10.1007/s11423-008-9093-6
Roeser, R. W., & Peck, S. C. (2009). An education in awareness: Self, motivation, and self-regulated learning in contemplative perspective. Educational Psychologist, 44(2), 119-136. https://doi.org/10.1080/00461520902832376
Rosenthal, R., & Rubin, D. B. (1982). Further meta-analytic procedures for assessing cognitive gender differences. Journal of Educational Psychology, 74(5), 708.
Roure, C., Kermarrec, G., & Pasco, D. (2019). Effects of situational interest dimensions on students’ learning strategies in physical education. European Physical Education Review, 25(2), 327–340. https://doi.org/10.1177/1356336X17732964
Sansone, C., & Thoman, D. B. (2005). Interest as the missing motivator in self-regulation. European Psychologist, 10(3), 175-186. https://doi.org/10.1027/1016-9040.10.3.175
Schaffer, S. P., Chen, X., Zhu, X., & Oakes, W. C. (2012). Self‐efficacy for cross‐disciplinary learning in project‐based teams. Journal of Engineering Education, 101(1), 82-94.
Schmitz, B., Klemke, R., Walhout, J., & Specht, M. (2015). Attuning a mobile simulation game for school children using a design-based research approach. Computers & Education, 81, 35-48. doi:10 .1016/j.compedu.2014.09.001
Schwarzer, R., & Jerusalem, M. (1995). Generalized Self-Efficacy scale. In J. Weinman, S. Wright, & M. Johnston, Measures in health psychology: A user’s portfolio. Causal and control beliefs (pp. 35-37). Windsor, UK: NFER-NELSON.
Shelton, B. E., & Hedley, N. R. (2002). Using augmented reality for teaching earth-sun relationships to undergraduate geography students. In Augmented Reality Toolkit, The First IEEE International Workshop (pp. 1-8). Darmstadt, Germany: IEEE.
Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982). The self-efficacy scale: Construction and validation. Psychological Reports, 51(2), 663-671.
Simanungkalit, R. H. (2015). Pengembangan Perangkat Pembelajaran untuk Meningkatkan Kemampuan Representasi Matematis dan Self-Efficacy siswa SMP Negeri 12 Pematang Siantar (Doctoral dissertation, Tesis tidak diterbitkan. Medan: PPs Unimed).
Singh, K. (2011). Study of achievement motivation in relation to academic achievement of students. International Journal of Educational Planning & Administration, 1(2), 161-171.
Skehan, P. (1998). Task-based instruction. Annual Review of Applied Linguistics, 18, 268-286. doi:10.1017/S0267190500003585
Spearman, C. (1904). “General intelligence,” objectively determined and measured. American Journal of Psychology, 15, 201–292.
Sternberg, R. J., Grigorenko, E. L., & Bundy, D. A. (2001). The predictive value of IQ. Merrill-Palmer Quarterly, 47, 1–41
Strauss, A., & Corbin, J. (1998). Basics of qualitative research techniques. Thousand Oaks, CA: Sage.
Streukens, S., & Leroi-Werelds, S. (2016). Bootstrapping and PLS-SEM: A step-by-step guide to get more out of your bootstrap results. European Management Journal, 34(6), 618-632. http://dx.doi.org/10.1016/j.emj.2016.06.003
Stumpf, H., & Klieme, E. (1989). Sex-related differences in spatial ability: More evidence for convergence. Perceptual and Motor Skills, 69(3-1), 915-921.
Stuntz, C. P., & Weiss, M. R. (2009). Achievement goal orientations and motivational outcomes in youth sport: The role of social orientations. Psychology of Sport and Exercise, 10(2), 255-262. https://doi.org/10.1016/j.psychsport.2008.09.001
Sutton, K., & Williams, A. (2010). Implications of spatial abilities on design thinking. In D. Durling, R. Bousbaci, L. Chen, P. Gauthier, T. Poldma, S. Roworth-Stokes, & E.S tolterman (Eds.), Design and complexity - DRS International Conference 2010, 7-9 July, Montreal, Canada. https://dl.designresearchsociety.org/drs-conference-papers/drs2010/researchpapers/115
Suzuki, E. (2020, November 23). 4 Reasons 3D Modeling Software Is Important In Design. Fusion 360 Blog. Retrieved April 22, 2006, from https://www.autodesk.com/products/fusion-360/blog/3d-modeling-software-design-process-benefits/
Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251.
Tarini, M. (2016). Volume-encoded UV-maps. ACM Transactions on Graphics (TOG), 35(4), 1-13. https://doi.org/10.1145/2897824.2925898
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational statistics & data analysis, 48(1), 159-205.
Thomas, J. W. (2000). A review of research on project-based learning. San Rafael, CA Autodesk Foundation.
Thomas, J. W., Mergendoller, J. R., & Michaelson, A. (1999). Project-based learning: A handbook for middle and high school teachers. Novato, CA: The Buck Institute for Education.
Towle, E., Mann, J., Kinsey, B., O''Brien, E. J., Bauer, C. F., & Champoux, R. (2005, October). Assessing the self efficacy and spatial ability of engineering students from multiple disciplines. In Proceedings Frontiers in Education 35th Annual Conference (pp. S2C-15), Indianapolis, IN. doi:10.1109/FIE.2005.1612216
Tsai, Y. H., Lin, C. H., Hong, J. C., & Tai, K. H. (2018). The effects of metacognition on online learning interest and continuance to learn with MOOCs. Computers & Education, 121, 18-29.
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 177-195.
Wigfield, A., Cambria, J., & Eccles, J. S. (2012). Motivation in education. In R. M. Ryan (Ed.), The Oxford handbook of human motivation (pp. 463–478). Oxford University Press.
Willis, J., & Willis, D. (2013). Doing task-based teaching-Oxford handbooks for language teachers. Oxford University Press.
Witkin, H. A. (1976). Cognitive style in academic performance and in teacher-student relations. In S. Messick & Associates (Eds.) Individuality in learning (pp. 38–72). San Francisco: Jossey-Bass.
Witkin, H. A., Dyk, R. B., Faterson, H. F., Goodenough, D. R., & Karp, S. A. (1962). Psychological differentiation. New York: Wiley
Witkin, H. A., Lewis, H. B., Hertzman, M., Machover, K., Meissner, P. B., & Wapner, S. (1954). Personality through perception. New York: Harper
Witkin, H.A., Moore, C.A., Goodenough, D. R., & Cox, P.W. (1977). Field dependent and field-independent cognitive styles and their educational implications. Review of 109 Educational Research, 47, 1-64.
Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. A. (1971). A manual for the Embedded Figures Test. Palo Alto, CA: Consulting Psychologists Press.
Yazici, Y. E. (2017). The relationship between cognitive style and visual spatial intelligence of first year architectural students. Kastamonu Eğitim Dergisi, 25(2), 805-820.
Zarkasyi, W., Lestai, K. E., & Yudhanegara, M. R. (2015). Penelitian Pendidikan Matematika. Karawang: PtRefika Aditama.
Zeisel, J. (2006). Inquiry by design: Environment/Behavior/Neuroscience in architecture, interiors, landscape and planning (2nd ed.). New York, NY: Norton.
Zhao, L., Lu, Y., Wang, B., Chau, P. Y. K., & Zhang, L. (2012). Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective. International Journal of Information Management, 32(6), 574-588. http://dx.doi.org/10.1016/j.ijinfomgt.2012.02.006
Zhu, X., Chen, A., Ennis, C., Sun, H., Hopple, C., Bonello, M., Bae, M., & Kim, S. (2009). Situational interest, cognitive engagement, and achievement in physical education. Contemporary Educational Psychology, 34(3), 221–229. https://doi.org/10.1016/j.cedpsych.2009.05.002