研究生: |
戴凱欣 Tai, Kai-Hsin |
---|---|
論文名稱: |
虛擬實境融入空間能力養成之研究 Virtual Reality Enhanced Spatial Ability |
指導教授: |
洪榮昭
Hong, Jon-Chao |
學位類別: |
博士 Doctor |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2018 |
畢業學年度: | 106 |
語文別: | 中文 |
論文頁數: | 211 |
中文關鍵詞: | 空間能力 、虛擬實境 、體感認知 、認知負荷 、認知疲乏 |
英文關鍵詞: | spatial ability, virtual reality, embodied cognition, cognitive load, cognitive fatigue |
DOI URL: | http://doi.org/10.6345/DIS.NTNU.DIE.061.2018.E01 |
論文種類: | 學術論文 |
相關次數: | 點閱:308 下載:15 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
空間能力與個體的日常生活及數理科普學習相當密切,也是個體職涯發展的基礎。過去空間能力訓練多以紙本形式、實物模型、電腦動畫等學習媒介進行學習,學習歷程則是多由三維立體視圖轉二維視圖,鮮少反轉學習歷程,提供學習者由二維視圖轉三維立體視圖,此外,視圖教學亦未有融入新興虛擬實境科技與體感認知學習理論的學習模式。具體而言,本研究基於多媒體學習理論,期望了解學習者使用虛擬實境與App人機互動介面進行空間能力學習時,其認知疲乏、認知負荷、遊戲興趣、未來使用意圖,以及空間能力的表現,並進一步探討虛擬實境與App不同人機互動介面、性別、年級等之空間能力評量表現之差異。相關研究結果顯示,應用虛擬實境學習時,虛擬實境認知疲乏與認知負荷具正向顯著相關,與遊戲興趣具負向顯著相關;而認知負荷與遊戲興趣具負向顯著相關,與空間能力評量表現具負向顯著相關;遊戲興趣與空間能力評量表現具正向顯著相關,與未來使用意圖具正向顯著相關;最後,認知負荷與未來使用意圖、空間能力評量表現與未來使用意圖,兩項皆未達顯著相關。差異研究結果指出,不同人機互動介面、不同年級,皆在空間能力評量表現有顯著差異,但性別沒有顯著差異。最後依研究結果,提出本研究理論性與實務性之研究貢獻,以及未來研究建議供後續研究參考。
Spatial ability is the general skill in daily life. It also has close connection in STEM learning, and career development. Spatial ability was trained in paper form, models, or animations for learners in the past, and they learned the view transfer from 3D to 2D views. However, there has no training materials teach learners how to switch 2D graphics from 2D to 3D views. Besides, there has no learning model build on embodied cognition learning theory and virtual reality (VR) technology. The present study is designed to figure out the relationships among cognitive fatigue, cognitive load, gameplay interest, reuse intention, and the performance of spatial ability when learners using spatial evaluation system through VR and App. The differences of human-computer interaction between VR and App were also explored through genders, grades, and the performance of spatial ability. As the result showed, VR learners’ cognitive fatigue is positive related with cognitive load, but negative correlated with gameplay interest. VR learners’ cognitive load is negative related with gameplay interest, and spatial ability performance. VR learners’ gameplay interest is positively related with spatial ability performance, and intention. Nevertheless, there has no significant relation between cognitive load and intention, also performance of spatial ability and reuse intention. The further results revealed there are significantly differences between VR and App, and also the grades, but has no significant difference between genders. Based on the research result, the study proposed the contribution divided into theoretical and practical parts, and also proposed some suggestions for the future study.
中文部分
王保進(2002)。視窗版SPSS與行為科學研究。臺北市:心理。
朱經明(1999)。多媒體與身心障礙兒童。特殊教育季刊,72,10-12。
何英奇(2004)。心理與特殊教育新論。新北市:心理出版社。
吳明隆、涂金堂(2012)。SPSS與統計應用分析。臺北市:五南。
杞昭安(1997)。聽覺障礙兒童圖形認知發展之研究。特殊教育與復健學報,5,199-225。
林政宏(1996)。深入虛擬實境 VR。臺北市:碁峯。
林柏翰(2015)。增強空間能力: 性別差異與空間能力訓練(未出版之博士論文)。國立中央大學。桃園市。
林重新(2001)。教育研究法。臺北市:揚智。
林清山(2002)。心理與教育統計。臺北市:東華。
張芳全(2009)。家長教育程度與科學成就之關係:文化資本、補習時間與學習興趣為中介的分析。教育研究與發展期刊,5(4),39-76。
張春興(2007)。教育心理學:三化取向的理論與實踐。臺北市:東華。
張偉豪(2011)。SEM論文寫作不求人。臺北市:鼎茂。
梁朝雲、李恩東(1998)。虛擬實境之教學應用。資訊傳播與圖書館學,5(1),72-81。
梁朝雲、張弘毅(1998)。網路虛擬實境與情境學習的整合應用。教育資料與圖書館學,2(36),197-224。
郭子祥、陳一平、袁汝儀(2016)。基隆市國小學生心像認知能力與繪畫表現風格的相關性。臺灣教育評論月刊,5(4),166-193。
陳可涵(2010)。利用虛擬實境技術測驗空間定向能力(未出版之碩士論文) 。國立臺東大學。臺東市。
陳怡君(2016)。淺談空間能力的性別差異與科學、科技、工程及數學類型的職業選擇。科學教育月刊,392(6),47-55。
勞動部(2018)。技能檢定-測試參考資料。取自https://techbank.wdasec.gov.tw/owInform/TestReferData.aspx
黃仁竑、游寶達(1995)遠距教學與虛擬實境 (Virtual Reality)。資訊與教育,50,24-27。
楊志偉(2013)。以Google SketchUp進行國中正投影圖學學習成效之研究 (未出版之碩士論文)。國立臺灣師範大學。臺北市。
楊謦鮫(2015)。3D繪圖教學對學生空間能力與表徵能力影響之研究(未出版之碩士論文)。國立臺灣師範大學。臺北市。
劉嘉茹(2009)。國內舉辦學術研討(習)會─腦神經認知與科學學習研討會。行政院國家科學委員會專題研究成果報告(編號:NSC98-2517-S017-002),未出版。
歐陽明、吳健榕、陳敬謙(1995)。虛擬實境(Virtual Reality)。資訊與教育,5,16-23。
蔡政容、張庭毅、簡鈺姍(2015)。運用互動式3D動畫與3D視覺技術提昇 國小學童空間幾何學習成效之研究。自然科學與教育,1(1),91-112。
蔡雅如(2016)。實體七巧板與虛擬七巧板對幼兒創造力、空間能力、學習成效與學習興趣之影響─以互動式電子繪本為例(未出版之碩士論文)。國立臺灣科技大學。臺北市。
鄭依琳(2013)。從知識結構的ACT-R模式論國小寫作教學的新方向。教育資料與研究雙月刊,112,133-149。
鄭海蓮、陳世玉(2007)。標準化空間能力測驗之建模與驗證。教育研究與發展期刊,3(4),181-216。
蕭文龍(2013)。統計分析入門與應用。臺北市:碁峯。
韓承靜、洪蘭、蔡介立(2000)。心像旋轉中之心智表徵特性-探討圖形複雜度與整合性的影響。教育心理學報,41(3),551-578。
英文部分
Ackerman, P. L., & Kanfer, R. (2009). Test length and cognitive fatigue: An empirical examination of effects on performance and test-taker reactions. Journal of Experimental Psychology Applied, 15(2), 163-181.
Adam, J. J. (1996). Perception-action coupling in choice reaction time tasks. Human Movement Science, 15, 511-519.
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.
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp. 11-39). Berlin, Germany: Springer-Verlag.
Alfred, M., Neyens, D. M., & Gramopadhye, A. K. (2018). Comparing learning outcomes in physical and simulated learning environments. International Journal of Industrial Ergonomics, 68, 110-117.
Aminov, A., Rogers, J. M., Middleton, S., Caeyenberghs, K., & Wilson, P. H. (2018). What do randomize controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes. Journal of NeuroEngineering and Rehabilitation, 15, 1-29.
Amorim, M. A., Isableu, B., & Jarraya, M. (2006). Embodied spatial transformations: “Body analogy” for the mental rotation of objects. Journal of Experimental Psychology General, 135(3), 327-347.
Andersen, S. A. W., Mikkelsen, P. T., Konge, L., Thomasen, P. C., & Sorensen, M. (2016). Cognitive load in mastoidectomy skills training: Virtual reality simulation and traditional dissection compared. Journal of Surgical Education, 73(1), 45-50.
Anderson, J. C., & Gerbing, D. G. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 4l1-423.
Anderson, J. R. (1983). Rule of the mind. Hillsdale, NJ: Lawrence Erlbaum Associates.
Anderson, J. R. (2005). Cognitive psychology and its implications. Macmillan, United Kingdom: Macmillan Publishers Ltd.
Anderson, J. R., & Lebiere, C. (1998). The atomic components of thought. Mahwah, NJ: Lawrence Erlbaum.
Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its relation to visual attention. Human-Computer Interaction, 12(4), 439-462.
Ansari, T. L., & Derakshan, N. (2011). The neural correlates of cognitive effort in anxiety: Effects on processing efficiency. Biological Psychology, 86(3), 337-348.
Anvari, F., Tran, H. M. T., & Kavakli, M. (2013). Using cognitive load measurement and spatial ability test to identify talented students in three-dimensional computer graphics programming. International Journal of Information and Education Technology, 3(1), 94-99.
Armel, K. C., & Ramachandran, V. S. (2003). Projecting sensations to external objects: Evidence from skin conductance response. Biological Sciences, 270(1523), 1499-1506.
Arshadi, N., & Damiri, H. (2013). The relationship of job stress with turnover intention and job performance: Moderating role of OBSE. Procedia- Social and Behavioral Sciences, 84(9), 706-710.
Ayres, A. J. (1972). Sensory integration and learning disorders. Los Angles, CA: Western Psychological Services.
Ayres, J. (1976). The effect of sensory integration therapy on learning disabled children. Los Angeles, CA: University of Southern California.
Balakrishnan, V., Liew, T. K., & Pourgholaminejad, S. (2015). Fun learning with Edooware: A social media enabled tool. Computers & Education, 80, 39-47.
Bandura, A. (1986). Fearful expectations and avoidant actions as coeffects of perceived self-inefficacy. American Psychologist, 41(12), 1389-1391.
Barnett, D. J., Everly, Jr. G. S., Parker, C. L., & Links, J. M. (2005). Applying educational gaming to public health workforce emergency preparedness. American Journal of Preventive Medicine, 28(4), 390-395.
Barrett, T. J., Stull, A. T., Hsu, T. M., & Hegarty, M. (2015). Constrained interactivity for relating multiple representations in science: When virtual is better than real. Computers & Education, 81, 69-81.
Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59(1), 617-645.
Bartlett, F. C. (1941). Fatigue following highly skilled work. Nature, 147, 717-718.
Barzilai, S., & Blau, I. (2014). Scaffolding game-based learning: Impact on learning achievements, perceived learning, and game experiences. Computers & Education, 70, 65-79
Battista, M. T. (1990). Spatial visualization and gender differences in high school geometry. Journal for Research in Mathematics Education, 21(1), 47-60.
Ben-Chaim, D., Lappan, G. & Houang, R. T. (1988). The effect of instruction on spatial visualization skills of middle school boys and girls. American Educational Research Journal, 25(1), 51-71.
Bentler, P. M. (1980). Multivariate analysis with latent variables: Causal modeling. Annual Review of Psychology, 31(1), 419-456.
Bentler, P. M., & Wu, E. J. C. (1993). EQS-Windows user’s guide: Version 4. Los Angeles, CA: BMDP Statistical Software.
Berkeley, G. (1709). An essay towards a new theory of vision. In C. M. Turbayne (Ed.), Works on vision. Indianapolis, IN: Bobbs-Merrill.
Bertoline, G. R., Wiebe, E. N., Miller, C., & Nasman, L. (1995). Engineering graphics communications. Chicago, IL: Richard D. Irwin.
Bharathan, R., Vali, S., Setchell, T., Miskty, T., Darzi, A., & Aggarwal, R. (2013). Psychomotor skills and cognitive load training on a virtual reality laparoscopic simulator for tubal surgery is effective. European Journal of Obstetrics & Gynecology and Reproductive Biology, 169(2), 347-352.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.
Bishop, S. J. (2007). Neurocognitive mechanisms of anxiety: An integrative account. Trends in Cognitive Sciences, 11(7), 307-316.
Black, J. B., Segal, A., Vitale, J. M., & Fadjo, C. L. (2012). Embodied cognition and learning environment design. In D. Jonassen & S. Land (Eds.), Theoretical foundations of learning environments (pp. 198-223). New York, NY: Routledge.
Borragán, G., Slama, H., Bartolomei, M., & Peigneux, P. (2017). Cognitive fatigue: A time-based resource-sharing account. Cortex, 89, 71-84.
Borragan, G., Slama, H., Destrebecqz, A., & Peigneux, P. (2016). Cognitive fatigue facilitates procedural sequence learning. Frontiers in Human Neuroscience, 10(86), 1-8.
Boscolo, P., & Mason, L. (2003). Topic knowledge, text coherence, and interest: How they interact in learning from instructional texts. The Journal of Experimental Education, 71(2), 126-148.
Boucheix, J. M., & Schneider, E. (2009). Static and animated presentations in learning dynamic mechanical systems. Learning and Instruction, 19(2), 112-127.
Bowers, C. A., & LaBarba, R. C. (1988). Sex differences in the lateralization of spatial abilities: A spatial component analysis of extreme group scores. Brain and Cognition, 8(2), 165-177.
Broaders, S. C., Wagner, S. C., Zachary, M., Goldin-Meadow, S., Cook, S. W., & Mitchell, Z. (2007). Making children gesture brings out implicit knowledge and leads to learning. Journal of Experimental Psychology: General, 136(4), 539-550.
Brom, C., Bromová, E., Děchtěrenko, F., Buchtová, M., & Pergel, M. (2014). Personalized messages in a brewery educational simulation: Is the personalization principle less robust than previously thought? Computers & Education, 72, 339-366.
Brom, C., Buchtová, M., Šisler, V., Děchtěrenko, F., Palme, R., & Glenk, L. M. (2014). Flow, social interaction anxiety and salivary cortisol responses in serious games: A quasi-experimental study. Computers & Education, 79, 69-100.
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Cambridge, MA: Harvard University Press.
Brown, I. D. (1994). Driver fatigue. Human factors, 36(2), 298-314.
Brown, T. A. (2014). Confirmatory factor analysis for applied research. New York, NY: Guilford Publications.
Brown, W., & Stephenson, W. A. (1933). A test of the theory of two factors. British Journal of Psychology, 23, 352-370.
Bruce, V., Green, P. R., & Georgeson, M. A. (2004). Visual perception: Physiology, psychology, and ecology. New York, NY: Psychology.
Buckley, J., Seery, N., & Canty, D. (2018). A heuristic framework of spatial ability: A review and synthesis of spatial factor literature to support its translation into STEM education. Journal of Geoscience Education, https://doi.org/10.1080/10899995.2018.1483119
Bundesen, C. (1990). A theory of visual attention. Psychological Review, 97(4), 523-547.
Burdea, G. C., & Coiffet, P. (2003). Virtual reality technology. Piscataway, NJ: John Wiley & Sons.
Burton, L. J., & Dowling D. G. (2009). Key factors that influence engineering students’ academic success: A longitudinal study. Paper presented at Research inEngineering Education Symposium. Retrived from https://eprints.usq.edu.au/5881/
Byrne, B. B. (2010). Principles and practice of structural equation modeling. New York, NY: Guilford Press.
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York, NY: Cambridge University Press.
Ceci, S. J., Ginther, D. K., Kahn, S., & Williams, W. M. (2014). Women in academic science: A changing landscape. Psychological Science in the Public Interest, 15(3), 75-141.
Chan, M., & Black, J. B. (2006). Direct-manipulation animation: Incorporating the haptic channel in the learning process to support middle school students in science learning and mental model acquisition. Mahway, NJ: Lawrence Erlbaum Associates, Inc.
Chang, H. H., Fu, C. S., & Huang, C. Y. (2017). Willingness to adopt or reuse an e-learning system: The perspectives of self-determination and perceived characteristics of innovation. Innovations in Education and Teaching International, 54(5), 511-520.
Chase, W. G. & Chi, M. T. H. (1978). Cognitive skill: Implications in large-scale environment. In J. H. Harvey (Ed.), Cognition, social behavior, and the environment (pp. 111-136). Hillsade, NJ: Erlbaum Assoc.
Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and web-based learning continuance intention. Information Systems Journal, 17(3), 271-287.
Christodoulou, C. (2005). The assessment and measurement of fatigue. In J. DeLuca (Ed.), Fatigue as a window to the human brain (pp. 19-36). Cambridge, MA: MIT Press.
Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Joumal of Marketing Research, 16(1), 64-73.
Clark, A. (1999). An embodied cognitive science? Trends in Cognitive Sciences, 3(9), 345-351.
Clark, R. C., Nguyen, F., Sweller, J., & Baddeley, M. (2006). Efficiency in learning: Evidence‐based guidelines to manage cognitive load. Performance Improvement, 45(9), 46-47.
Clifton, P. G., Chang, J. S. K., Yeboah, G., Doucette, A., Chandrasekharan, S., Nitsche, M., Welsh, T., & Mazalek, A. (2016). Design of embodied interfaces for engaging spatial cognition. Cognitive Research: Principles and Implication, 1(24), 1-15.
Clinton, V., & Van den Broek, P. (2012). Interest, inferences, and learning from texts. Learning and Individual Differences, 22(6), 650-663.
Cohen, A. D., & Weaver, S. J. (2005). Styles and strategies-based instruction: A teachers’ guide. Minneapolis, MN: Center for Advanced Research on Language Acquisition.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.
Cooper, G. (1998). Research into cognitive load theory and instructional design at UNSW. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.470.3428&rep=rep1&type=pdf
Cordova, D. I., & Lepper, M. R. (1996). Intrinsic motivation and the process of learning: Beneficial effects of contextualization, personalization, and choice. Journal of Educational Psychology, 88(4), 715-730.
Craig, A., & Cooper, R. E. (1992). Symptoms of acute and chronic fatigue. In A. P. Smith & D. M. Jones (Eds.), Handbook of human performance: State and trait (Vol. 3, pp. 289-339). London, United Kingdom: Academic Press.
Craig, T., & Kakumanu, S. (2002). Chronic fatigue syndrome: Evaluation and treatment. American Family Physician, 65(6), 1083-1096.
Csikszentmihalyi, M. (1991). Flow, the psychology of optimal experience, steps towards enhancing the quality of life. New York, NY: Harper & Row, Publishers.
Darwin, C. (1871). The descent of man, and selection in relation to sex. Princeton, NJ: Princeton University Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Day, S. B., & Goldstone, R. L. (2011). Analogical transfer from a simulated physical system. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(3), 551-567.
Deci, E. L. (1992). Commentary: On the nature and foundations of motivation theories. Psychological Science, 3(3), 167-171.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York, NY: Plenum Press.
DeLuca, J. (2005). Fatigue, cognition, and mental effort. In J. Deluca (Ed.), Fatigue as a window to the human brain (pp. 37-57). Cambridge, MA: MIT Press.
Deno, J. A. (1995). The relationship of previous experiences to spatial visualization ability. Engineering Design Graphics Journal, 59(3), 5-17.
DeSutter, D., & Stieff, M. (2017). Teaching students to think spatially through embodied actions: Design principles for learning environments in science, technology, engineering, and mathematics. Cognitive Research: Principles and Implications, 2(22), 1-20.
Dewey, J. (1933). How we think. Boston, MA: DC Heath.
Dixon, D., Terton, U., & Greenaway, R. (2018). Reducing the split-attention effect in assembly based instruction by merging physical parts with holograms in mixed reality. Paper presented at 10th International Conference on Computer Supported Education (CSEDU 2018), Madeira, Portugal. Retrived from http://www.scitepress.org/PublicationsDetail.aspx?ID=fYlJTLx%2fFnU%3d&t=1
Dixon, J. K. (1997). Computer use and visualization in students’ construction of reflection and rotation concepts. School Science and Mathematics ,97, 352-358.
Dror, I. E., Kosslyn, S. M., & Waag, W. L. (1993). Visual-spatial abilities of pilots. Journal of Applied Psychology, 78(5), 763-773.
Eastin, M. S. (2006). Video game violence and the female game player: Self- and opponent gender effects on presence and aggressive thoughts. Human Communication Research, 32(3), 351-372.
Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53(1), 109-132.
Eliot, J., & Smith, I. M. (1983). An international directory of spatial tests. Windsor Berks, UK: Nfer-Nelson.
El-Khoussy, A. A. H. (1935). The visual perception of space. British Journal of Psychology Monograph Supplements, 7 (20), 1-80.
Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7(2), 336-353.
Faber, L. G., Maurits, N. M., & Lorist, M. M. (2012). Mental fatigue affects visual selective attention. Plos One, 7(10), e48073.
Fairclough, S. H. (2001). Mental effort regulation and the functional impairment of the driver. In P. A. Hancock & P. A. Desmond (Eds.), Stress, workload, and fatigue (pp. 479-502). Mahwah, NJ: Lawrence Erlbaum Associates.
Fink, B. (1994). Interest and exploration: Exploratory action in the context of interest genesis. In H. Keller, K. Schneider & B. Henderson (Eds.), Curiosity and exploration (pp. 101-120). Berlin, Germany: Springer.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Boston, MA: Addison- Wesley.
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.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59-109.
French, J. W. (1951). The description of aptitude on achievement tests in terms of rotated factors. Chicago, IL: University of Chicago Press.
Frostig, M. (1997). Education of children with learning disabilities. New York, NY: Appleton Century Crofts.
Fullagar, C. J., Knight, P. A., & Sovern, H. S. (2013). Challenge/skill balance, flow, and performance anxiety. Applied Psychology, 62(2), 236-259.
Gagne, R. M. (1985). The condition of learning and theory of instruction. New York, NY: Holt, Rinehart & Winston.
Ganis, G., Keenan, J. P., Kosslyn, S. M., & Pascual-Leone, A. (2000). Transcranial magnetic stimulation of primary motor cortex affects mental rotation. Cerebral Cortex, 10(2), 175-180.
Gardner, M. F. (1996). Test of visual-perceptual skills (non-motor)-revised manual. Novato, CA: Academic Therapy Publications.
Getman, G. (1965). The visuomotor complex in the acquisition of learning skills. In J. Hellmuth (Ed.), Learning disorders. Seattle, WA: Special Child Publications.
Gibson, E. J. (1971). The information available in pictures. Leonardo, 4(1), 27-35.
Gilligan, K. A., Flouri, E., & Farran, E. K. (2017). The contribution of spatial ability to mathematics achievement in middle childhood. Journal of Experimental Child Psychology, 163, 107-125.
Glenberg, A. M., Gutierrez, T., Levin, J. R., Japuntich, S., & Kaschak, M. P. (2004). Activity and imagined activity can enhance young children's reading comprehension. Journal of Educational Psychology, 96(3), 424-436.
Goodman, N. (1968). Languages of Art: An approach to a theory of symbols. Indianapolis, IN: Bobbs-Merrill.
Gorgoriό, N. (1998). Exploring the functionality of visual and non-visual strategies in solving rotation problems. Educational Studies in Mathematics, 35(3), 207-231.
Grandjean, E. (1979). Fatigue in industry. Occupational and Environmental Medicine, 36(3), 175-186.
Grandjean, E. (1988). Fitting the task to the man, a textbook of occupational ergonomic. London, UK: Taylor & Francis.
Green, S. B., & Salkind, N. (2004). Using SPSS for Windows and Macintosh: Analyzing and understanding data (4th ed.). Englewood Cliffs, NJ: Prentice-Hall.
Griffin, S. (2004). Building number sense with number worlds: A mathematics program for young children. Early Childhood Research Quarterly, 19(1), 173-180.
Hagen, M. A. (1974). Picture perception: Toward a theoretical model. Psychological Bulletin, 81(8), 471-497.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publications.
Hamari, J., & Koivisto, J. (2014). Measuring flow in gamification: Dispositional flow scale-2. Computers in Human Behavior, 40, 133-143.
Han, I., & Black, J. B. (2011). Incorporating haptic feedback in simulation for learning physics. Computers & Education, 57(4), 2281-2290.
Hegarty, M., & Kozhevnikov, M. (1999). Types of visual-spatial representations and mathematical problem solving. Journal of Educational Psychology, 91(4), 684-689.
Hegarty, M., & Sims, V. K. (1994). Individual differences in mental animation during mechanical reasoning. Memory and Cognition, 22(4), 411-430.
Hegarty, M., Montello, D. R., Richardson, A. E., Ishikawa, T., & Lovelace, K. (2006). Spatial abilities at different scales: Individual differences in aptitude-test performance and spatial-layout learning. Intelligence, 34(2), 151-176.
Herrlinger, S., Höffler, T. N., Opfermann, M., & Leutner, D. (2017). When do pictures help learning from expository text? Multimedia and modality effects in primary schools. Research in Science Education, 47(3), 685-704.
Hidi, S., & Harackiewicz, J. M. (2000). Motivating the academically unmotivated: A critical issue for the 21st century. Review of Educational research, 70(2), 151-179.
Hidi, S., & Renninger, K. A. (2006). The four-phase model of interest development. Educational Psychologist, 41(2), 111-127.
Hidi, S., Renninger, K. A., & Krapp, A. (1992). The present state of interest research. In K. A., & Krapp, A. (Eds.), The role of interest in learning and development (pp. 433-446). Hillsdale, NJ: Erlbaum.
Hoffiman, D. D. (1998). Visual intelligence: How we create what we see. New York, NY: W. W. Norton.
Hong, J. C., Hwang, M. Y., Chang, S. W., Tai, K. H., Kuo, Y. C., & Tsai, Y. H. (2015a). Internet cognitive failure and fatigue relevant to learners’ self-regulation and learning progress in English vocabulary with a calibration scheme. Journal of Computer Assisted Learning, 31, 450-461.
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.
Hong, J. C., Hwang, M. Y., Tai, K. H., & Lin, P. C. (2015b). Self-efficacy relevant to competitive anxiety and gameplay interest in the one-on-one competition setting. Education Technology Research Development, 63, 791-807.
Hong, J. C., Lu, C. C., Wang, J. L., Liao, S., Wu, M. R., Hwang, M. Y., & Lin, P. S. (2013). Gender and prior science achievement affect categorization on a procedural learning task. Thinking Skills and Creativity, 8, 92-101.
Hong, J. C., Tai, K. H., Hwang, M. Y., Kuo, Y. C., & Chen, J. S. (2017). Internet cognitive failure relevant to users’ satisfaction with content and interface design to reflect continuance intention to use a government e-learning system. Computers in Human Behavior, 66, 353-362.
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.
Hung, C. Y., Sun, J. C. Y., & Yu, P. T. (2015). The benefits of a challenge: Student motivation and flow experience in tablet-PC-game-based learning. Interactive Learning Environments, 23(2), 172-190.
Hung, P. H., Hwang, G. J., Lee, Y. H., & Su, I. H. (2012). A cognitive component analysis approach for developing game-based spatial learning tools. Computers & Education, 59(2), 762-773.
Hwang, M. Y., Hong, J. C., Cheng, H. Y., Peng, Y. C., & Wu, N. C. (2013). Gender differences in cognitive load and competition anxiety affect 6th students’ attitude toward playing and intention to play ata sequential or synchronous game. Computers & Education, 60, 254-263.
Izard, C. E. (2007). Basic emotions, natural kinds, emotion schemas, and a new paradigm. Perspectives on Psychological Science, 2(3), 260-280.
Jang, S., Vitale, J. M., Jyung, R. W., & Black, J. B. (2017). Direct manipulation is better than passive viewing for learning anatomy in a three-dimensional virtual reality environment. Computers & Education, 106, 150-165.
Jensen, H. J. (1998). Self-organized criticality. Cambridge, UK: Cambridge University Press.
Jex, H. R. (1988). Measuring mental workload: Problems, progress and promises. In P. A. Hancock & N. Meshkati (Eds.). Human mental workload. Amsterdam, Netherlands: North Holland.
Jirout, J. J., & Newcombe, N. S. (2015). Building blocks for developing spatial skills: Evidence from a large, representative U.S. sample. Psychological Science, 26(3), 302-310.
Job, R. F. S., & Dalziel, J. (2001). Defining fatigue as a condition of the organism and distinguishing it from habituation, adaptation, and boredom. In P. A. Hancock, & P. A. Desmond (Eds.), Stress, workload, and fatigue (pp. 466-475). Mahwah, NJ: Lawrence Erlbaum Associates.
Johansson, B., & Rönnbäck, L. (2014). Long-Lasting mental fatigue after traumatic brain injury: A major problem most often neglected diagnostic criteria, assessment, relation to emotional and cognitive problems, cellular background, and aspects on treatment. In F. Sadaka (Ed.), Traumatic brain injury (pp. 491-511). Retrieved from https://www.kultur.gu.se/digitalAssets/1473/1473556_46126.pdf
Joo, Y. J., So, H. J., & Kim, N. H. (2018). Examination of relationships among students’ self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs. Computers & Education, 122, 260-272.
Jung, H., Woo, Y. J., Kang, J. W., Choi, Y. W., & Kim, K. M. (2014). Visual perception of ADHD children with sensory processing disorder. Psychiatry Investigation, 11(2), 119-123.
Kathleen, M. N. (2001). Life span motor development (3rd ed.). Champaign, IL: Human Kinetics Publishers.
Kelly, T. (1928). Crossroads in the mind. Palo Alto, CA: Stanford University Press.
Kephart, N. C. (1960). Slow learning in the classroom. Columbus, OH: Charles Merrill.
Kirsh, D., & Maglio, P. (1994). On distinguishing epistemic from pragmatic action. Cognitive Science, 18(4), 513-549.
Kiverstein, J. (2012). The meaning of embodiment. Topics in Cognitive Science, 4(4), 740-758.
Kosslyn, S. M. (1981a). Research on mental imagery: Some goals and direction. Cognition, 10, 173-179.
Kosslyn, S. M. (1981b). The medium and the message in mental imagery: A theory. Psychological Review, 88(1), 46-66.
Kosslyn, S. M. (1987). Seeing and imagining in the cerebral hemispheres: A computational approach. Psychological Review, 94(2), 148-175
Kosslyn, S. M., DiGirolamo, G. J., Thompson, W. L., & Alpert, N. M. (1998). Mental rotation of objects versus hands: Neural mechanisms revealed by positron emission tomography. Psychophysiology, 35(2), 151-161.
Kosslyn, S. M., Thompson, W. L., & Wraga, M. (2001). Imagining rotation by endogenous versus exogenous forces: Distinct neural mechanisms. Neuroreport, 12(11), 2519-2525.
Krapp, A. (1999). Interest, motivation and learning: An educational-psychological perspective. European Journal of Psychology of Education, 14(1), 23-40.
Krapp, A. (2002). Structural and dynamic aspects of interest development: Theoretical considerations from an ontogenetic perspective. Learning and Instruction, 12(4), 383-409.
Kumar, V. M. (2008). Sleep and sleep disorders. The Indian Journal of Chest Diseases & Allied Sciences, 50(1), 129-135.
Laplante, L., Everett, J., & Thomas, J. (1992). Inhibition through negative priming with Stroop stimuli in schizophrenics. British Journal of Clinical Psychology, 31, 307-326.
Lebiere, C., & Anderson, J. R. (1993). A connectionist implementation of the ACT-R production system. Paper presented at 5th annual conference of the Cognitive Science Society (CSS 1993), Boulder, CO. Retrieved from https://www.questia.com/read/96795764/proceedings-of-the-fifteenth-annual-conference-of
Lee, E. A. L., & Wong, K. W. (2014). Learning with desktop virtual reality: Low spatial ability learners are more positively affected. Computers & Education, 79, 49-58.
Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation-confirmation model. Computers & Education, 54(2), 506-516.
LeFevre, J. A., Fast, L., Skwarchuk, S. L., Smith-Chant, B. L., Bisanz, J., Kamawar, D., & Penner-Wilger, M. (2010). Pathways to mathematics: Longitudinal predictors of performance. Child Development, 81(6), 1753-1
Levine, S. C., Huttenlocher, J., Taylor, A., & Langrock, A. (1999). Early sex differences in spatial skill. Developmental Psychology, 35(4), 940-949.
Levine, S. C., Ratliff, K. R., Huttenlocher, J., & Cannon, J. (2012). Early puzzle play: A predictor of preschoolers’ spatial transformation skill. Developmental Psychology, 48(2), 530-542.
Levinson, A. J., Weaver, B., Garside, S., McGinn, H., & Norman, G. R. (2007). Virtual reality and brain anatomy: A randomised trial of e-learning instructional designs. Medical Education, 41(5), 495-501.
Li, Y., & Geary, D. C. (2013). Developmental gains in visuospatial memory predict gains in mathematics achievement. Public Library of Science, 8(7), 1-9.
Lin, H. C., Chiu, Y. H., Chen, Y. J., Wuang, Y. P., Chen, C. P., Wang, C. C., …Ho, W. H. (2017). Continued use of an interactive computer game-based visual perception learning system in children with developmental delay. International Journal of Medical Informatics, 107, 76-87.
Linn, M., & Petersen, A. (1985). Emergence and characterization of sex differences in spatial ability: A meta-analysis. Child Development, 56(6), 1479-1498.
Lohman, D. F. (1988). Spatial abilities as traits, processes and knowledge. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (pp. 181-248). Hillsdale, NJ: Erlbaum.
Lord, T. R. (1985). Enhancing the visual-spatial aptitude of students. Journal of Research in Science Teaching, 22(5), 395-405.
Lori, A. (2014). Visual-spatial ability: Important in STEM, ignored in gifted. Roeper Review, 36(2), 114-121.
Lorist, M. M., Boksem, M. A. S., & Ridderinkhof, K. R. (2005). Impaired cognitive control and reduced cingulate activity during mental fatigue. Cognitive Brain Research, 24(2), 199-205.
Lorist, M. M., Klein, M., Nieuwenhuis, S., De Jong, R., Mulder, G., & Meijman, T. F. (2000). Mental fatigue and task control: Planning and preparation. Psychophysiology, 37(5), 614-625.
Lowe, D. G. (1985). Further investigations of inhibitory mechanisms in attention. Memory and Cognition, 13(1), 74-80.
Luursema, J. M., Verwey, W. B., Kommers, P. A. M., Geelkerken, R. H., & Vos, H. J. (2006). Optimizing conditions for computer-assisted anatomical learning. Interacting with Computers, 18(5), 1123-1138.
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York, NY: Lawrence Erlbaum Associates.
Maglio, P. P., & Kirsh, D. (1996). Epistemic action increases with skill. Paper presented at 18th Annual conference meeting of the cognitive science society, San Diego, CA. Retrieved from http://adrenaline.ucsd.edu/Kirsh/Articles/Cogsci96/cogsci96.pdf
Marcora, S. M., Staiano, W., & Manning, V. (2009). Mental fatigue impairs physical performance in humans. Journal of Applied Physiology, 106(3), 857-864.
Marcus, N., Cooper, M., & Sweller, J. (1996). Understanding instructions. Journal of Educational Psychology, 88(1), 49-63.
Marr, D. (1982). Vision:A computational investigation into the human representation and processing of visual information. Cambridge, MA: The MIT Press.
Marunic, G., & Glazar, V. (2013). Spatial ability through engineering graphics education. International Journal of Technology and Design Education, 23(3), 703-715.
Matthews, G., Davies, D. R., Westerman, S. J., & Stammers, R. B. (2000). Human performance: Cognition, stress and individual differences. Philadelphia, PA: Taylor & Francis.
Mayer, R. E. (2001). Multimedia learning. Cambridge, UK: Cambridge University Press.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York, NY: Cambridge University Press.
Mayer, R. E. (2014). Computer games for learning: An evidence-based approach. Cambridge, MA: The MIT Press.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational Psychologist, 38(1), 43-52.
McGee, M. (1979). Human spatial abilities: Psychometric studies and environmental, genetic, hormonal and neurological influences. Psychological Bulletin, 86(5), 889-918.
McGlone, M. S., & Aronson, J. (2006). Stereotype threat, identity salience, and spatial reasoning. Journal of Applied Developmental Psychology, 27(5), 486-493.
McKean, K. (1979). Human spatial abilities, psychometric studies and environmental, genetic, hormonal, and neurological influences. Psychological Bulletin, 86(5), 889-918.
McKean, K. (1985). Of two minds: Selling the right brain. Discover, 6 (4), 30-41.
McMorris, T., Barwood, M., Hale, B. J., Dicks, M., & Corbett, J. (2018). Cognitive fatigue effects on physical performance: A systematic review and meta-analysis. Physiology & Behavior, 188(1), 103-107.
Meijer, F., & Van den Broek, E. L. (2010). Representing 3D virtual objects: Interaction between visuo-spatial ability and type of exploration. Vision Research, 50(6), 630-635.
Miller, C. L., & Bertoline, G. R. (1991). Spatial visualization research and theories: Their importance in the development of an engineering and technical design graphics curriculum model. Engineering Design Graphics Journal, 55(3), 5-14.
Mix, K. S., & Cheng, Y. L. (2012). The relation between space and math. In J. B. Benson (Ed.), Advances in child development and behavior (pp. 197-243). New York, NY: Elsevier.
Mix, K. S., Levine, S. C., Cheng, Y. L., Young, C., Hambrick, D. Z., Ping, R., & Konstantopoulos, S. (2016). Separate but correlated: The latent structure of space and mathematics across development. Journal of Experimental Psychology: General, 145(9), 1206-1227.
Moè, A. (2017). Mental rotation and mathematics: Gender-stereotyped beliefs and relationships in primary school children. Learning and Individual Differences, 61, 172-180.
Mohler, J. L. (2001). Improving spatial ability with virtual reality: A review of research & applications. WebNet Journal: Internet Technologies, Applications & Issues, 3(1), 28-35.
Moreno, R., & Mayer, R. E. (2007). Interactive multimodel learning environments. Educational Psychology Review, 19(3), 309-326.
Mousavi, S. Y., Low, R., & Sweller, J. (1995). Reducing cognitive load by mixing auditory and visual presentation modes. Journal of Educational Psychology, 87(2), 319-334.
Mullick, A. A. Subramanian, S. K., & Levin, M. F. (2015). Emerging evidence of the association between cognitive deficits and arm motor recovery after stroke: A meta-analysis. Restorative Neurology and Neuroscience, 33(3), 389-403.
Mumford, N., Duckworth, J., Thomas, P. R., Shum, D., Williams, G., & Wilson, P. H. (2012). Upper-limb virtual rehabilitation for traumatic brain injury: A preliminary within-group evaluation of the elements system. Brain injury, 26(2), 166-176.
Murphy, L. W. (1936). The relation between mechanical ability tests and verbal and non-verbal intelligence tests. Journal of Psychology, 2(2), 353-366.
Muscio, B. (1921). Is a fatigue test possible? British Journal of Psychology, 12(1), 31-46.
Myszewski, J. M. (2010). Mathematical model of the occurrence of human error in manufacturing processes. Quality and Reliability Engineering International, 26(8), 845-851.
Nascimento, B., Oliverira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157-169.
Newcombe, N. S. (2010). Picture this: Increasing math and science learning by improving spatial thinking. American Educator, 34(2), 29-43.
Newman, F. M., Wehlage, G. G., & Lamborn, S. D. (1992). The significance and sources of student engagement. In F. Newmann (Ed.), Student engagement and achievement in American secondary schools (pp. 11-39). New York, NY: Teachers College Press.
Okogbaa, O. G. Shell, R. L., & Filipusic, D. (1994). On the investigation of the neurophysiological correlates of knowledge worker mental fatigue using the EEG signal. Applied Ergonomics, 25(6), 355-365.
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
Olkun, S. (2003). Making connections: Improving spatial abilities with engineering drawing activities. International Journal of Mathematics Teaching and Learning, 3(1), 1-10.
Paas, F. (1992). Training strategies for attaining transfer of problem solving skill in statistics: A cognitive-load approach. Journal of Educational Psychology, 84(4), 429-434.
Paas, F. G., Van Merriënboer, J. J., & Adam, J. J. (1994). Measurement of cognitive load in instructional research. Perceptual and Motor Skills, 79(1), 419-430.
Palmeri, T. J. (1999). Theories of automaticity and the power law of practice. Journal of Experimental Psychology: Learning Memory and Cognition, 25(2), 543-551.
Panchal, A. R., Fishman, J., Camp-Rogers, T., Starodub, R., & Merchant, R. M. (2015). An “intention-focused” paradigm for improving bystander CRP performance. Resuscitation, 88, 48-51.
Parsons, L. M. (1987a). Imagined spatial transformation of one's body. Journal of Experimental Psychology: General, 116(2), 172-191.
Parsons, L. M. (1987b). Imagined spatial transformations of one's hands and feet. Cognitive Psychology, 19(2), 178-241.
Parsons, L. M., Fox, P. T., Downs, J. H., Glass, T., Hirsch, T. B., Martin, C. C., … Lancaster, J. L. (1995). Use of implicit motor imagery for visual shape discrimination as revealed by PET. Nature, 375(6526), 54-58.
Parsons, T. D., Larson, P., Kratz, K., Thiebaux, M., Bluestein, B., Buckwalter, J. G., & Rizzo, A. A. (2003). Sex differences in mental rotation and spatial rotation in a virtual environment. Neuropsychologia, 42(4), 555-562.
Pekrun, R., & Linnenbrink-Garcia, L. (2012). Academic emotions and student engagement. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 259-282). New York, NY: Springer.
Pellegrino, J. W., Alderton, D. L., & Shute, V. J. (1984). Understanding spatial ability. Educational Psychologist, 19(4), 239-253.
Peña, J., & Kim, E. (2014). Increasing exergame physical activity through self and opponent avatar appearance. Computers in Human Behavior, 41, 262-267.
Petit, L. S., Pegna, A. J., Mayer, E., & Hauert, C. A. (2003). Representation of anatomical constraints in motor imagery: Mental rotation of a body segment. Brain and Cognition, 51(1), 95-101.
Pew, R. W., & Mavor, A. S. (1998). Modeling human and organizational behavior: Application to military simulations. Washington, DC, National Academies Press.
Piaget, J. (2005). The psychology of intelligence. Abingdon, UK: Routledge.
Pilegard, C., & Mayer, R. E. (2018). Game over for Tetris as a platform for cognitive skill training. Contemporary Educational Psychology, 54, 29-41.
Pintrich, P. R. (1999). The role of motivation in promoting and sustaining self-regulated learning. International Journal of Educational Research, 31(6), 459-470.
Pirouz, D. M. (2006). An overview of partial least squares. Retrieved from http://www.merage.uci.edu/~dpirouz04/research/pls/PLS.pdf
Potter, C., & Merwe, V. D. E. (2001). Spatial ability, visual imagery and academic performance in engineering graphics. Paper presented at International Conference on Engineering Education (ICEE 2001), Oslo, Norway. Retrieved from http://www.ineer.org/events/icee2001/proceedings/papers/498.pdf
Procci, K., Singer, A. R., Levy, K. R., & Bowers, C. (2012). Measuring the flow experience of gamers: An evaluation of the DFS-2. Computers in Human Behavior, 28(6), 2306-2312.
Rapp, D. N. (2006). The value of attention aware systems in educational settings. Computers in Human Behavior, 22(4), 603-614.
Renninger, K. A. (2000). Individual interest and its applications for understanding intrinsic motivation. In C. Sansone & J. M. Harackiewicz (Eds.). Intrinsic and extrinsic motivation: The search for optimal motivation and performance (pp. 373-404). New York, NY: Academic Press.
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS-Version 2.0. Hamburg, Germany: University at Hamburg. Retrieved from http://www.smartpls.de
Ritter, F. E., & Schooler, L. J. (2002). The learning curve. In W. Kintsch, N. Smelser & P. Baltes (Eds.), International encyclopedia of the social and behavioral sciences (pp. 8602-8605). Oxford, UK: Pergamon.
Rizzo, A. A., Schultheis, M., Kerns, K. A., & Mateer, C. (2004). Analysis of assets for virtual reality applications in neuropsychology. Neuropsychological Rehabilitation, 14(1-2), 207-239.
Robinson, P. (2001). Cognition and second language instruction. New York, NY: Cambridge University Press.
Roca-González, C., Martin-Gutierrez, J., GarcÍa-Dominguez, M., & del Carmen Mato Carrodeguas, M. (2017). Virtual technologies to develop visual-spatial ability in engineering students. Eurasia Journal of Mathematics, Science & Technology Education, 13(2), 441-468.
Roeser, R. W., & Peck, S. (2009). An education in awareness: Self, motivation, and self-regulated learning in contemplative perspective. Educational Psychologist, 44(2), 119-136.
Rotgans, J. I., & Schmidt, H. G. (2014). Situational interest and learning: Thirst for knowledge. Learning and Instruction, 32, 37-50.
Rutherford, T., Karamarkoich, S. M., & Lee, D. S. (2018). Is the spatial/math connection unique? Associations between mental rotation and elementary mathematics and English achievement. Learning and Individual Differences, 62, 180-199.
Schiefele, U. (1990). The influence of topic interest, prior knowledge, and cognitive capabilities on text comprehension. In J. M. Pieters, K. Breuer, R., & J. Simons (Eds.), Learning environments (pp. 323-338). Berlin, Germany: Springer.
Schiefele, U. (1998). Individual interest and learning, what we know and what we don ’t know. In L. Hoffman, A. Krapp, K. Renninger, & J. Baumert (Eds.), Interest and learning (pp. 91- 104). Kiel, Germany: Institute for Science Education.
Schiefele, U. (1999). Interest and learning from text. Scientific Studies of Reading, 3(3), 257-279.
Schiefele, U. (2009). Situational and individual interest. In K. R. Wentzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 197-222). New York, NY: Routledge.
Schiefele, U., & Krapp, A. (1996). Topic interest and free recall of expository text. Learning and individual differences, 8(2), 141-160.
Schleifer, L. M., & Okogbaa, O. G. (1990). System response time and method of pay: Cardiovascular stress effects in computer-based tasks. Ergonomics, 33(12), 1495-1509.
Schneck, C. M. (2010). Visual perception. In J. Case-Smith & J. C. O’ Brien, Occupational therapy for children (6th ed., pp. 373-403). Maryland Heights, MO: Mosby Elsevier.
Schroeder, N. L., & Cenkci, A. T. (2018). Spatial contiguity and spatial split-attention effects in multimedia learning environments: A meta-analysis. Berlin, Germany: Springer.
Schultz, I. Z., Sepehry, A. A., & Greer, S. C. (2018). Cognitive impact of fatigue in forensic neuropsychology context. Psychological Injury and Law, 11(2), 108-119.
Schwoebel, J., Friedman, R., Duda, N., & Coslett, H. B. (2001). Pain and the body schema evidence for peripheral effects on mental representations of movement. Brain, 124(10), 2098-2104.
Sharpe, M., & Wilks, D. (2002). Fatigue. Clinical Review, 325(7362), 480-483.
Shepard, R. N., & Cooper, L. A. (1982). Mental images and their transformations. New York, NY: Cambridge University Press.
Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171(3972), 701-703.
Shernoff, D. J. (2010). The experience of student engagement in high school classrooms: Influences and effects on long-term outcomes. Saarbruken, Germany: Lambert Academic Publishing.
Shernoff, D. J. (2013). Optimal learning environments to promote student engagement. New York, NY: Springer.
Shortz, A. E., Pickens, A., Zheng, Q., & Mehta, R. K. (2015). The effect of cognitive fatigue on prefrontal cortex correlates of neuromuscular fatigue in older women. Journal of NeuroEngineering and Rehabilitation, 12(1), 1-10.
Siegler, R. S., & Ramani, G. B. (2009). Playing linear number board games—but not circular ones—improves low-income preschoolers’ numerical understanding. Journal of Educational Psychology, 101(3), 545-560.
Silverman, I., & Eals, M. (1992). Sex differences in spatial abilities: Evolutionary theory and data. In J. H. Barkow, L. Cosmides, & J. Tooby (Eds.), The adapted mind: Evolutionary psychology and the generation of culture (pp. 533-549). New York, NY: Oxford Univerisity Press.
Silverman, I., Choi, J., & Peters, M. (2007). The hunter-gatherer theory of sex differences in spatial abilities: Data from 40 countries. Archives of Sexual Behavior, 36, 261-268.
Silvia, P. J. (2001). Interest and interests: The psychology of constructive capriciousness. Review of General Psychology, 5(3), 270-290.
Simon, H. A., & Newell, A. (1971). Human problem solving: The state of the theory in 1970. American Psychologist, 26(2), 145-159.
Skulmowaki, A., Pradel, S., Kühner, T., Brunnett, G., & Rey, G. D. (2016). Embodied learning using a tangible user interface: The effects of haptic perception and selective pointing on a spatial learning task. Computers & Education, 92, 64-75.
Slavin, R. E. (1988). Educational psychology: Theory into practice (2nd ed.). Englewood Cliffs, NJ: Prentice Hall.
Smith, I. (1964). Spatial ability. London, UK: University of London Press.
Smith, M. J. (1981). Occupational stress: An overview of psychosocial factors. In G. Salvendy & M. J. Smith (Eds.), Machine pacing and occupational stress (pp. 13-19). London, UK: Taylor & Francis.
Smith, W. S., & Schroeder, C. K. (1979). Instruction of fourth grade girls and boys on spatial visualization. Science Education, 63(1),61-66.
Stern, C., & West, T. V. (2014). Circumventing anxiety during interpersonal encounters to promote interest in contact: An implementation intention approach. Journal of Experimental Social Psychology, 50(1), 82-93.
Sternberg, R. J. & Sternberg, K. (2012). Cognitive psychology (6th ed.). Belmont, CA: Wadsworth.
Stull, A. T., Barrett, T., & Hegarty, M. (2013). Usability of concrete and virtual models in chemistry instruction. Computers in Human Behavior, 29(6), 2546-2556.
Stull, A. T., Gainer, M. J., & Hegarty, M. (2018) Learning by enacting: The role of embodiment in chemistry education. Learning and Instruction, 55, 80-92.
Stull, A. T., Hegarty, M., & Mayer, R. E. (2009). Getting a handle on learning anatomy with interactive three-dimensional graphics. Journal of Educational Psychology, 101(4), 803-816.
Sutherland, I. E. (1965). The ultimate display. Paper presented at 3rd International Federation for Information Processing (IFIP Congress), New York, NY. Retrieved from http://www8.informatik.umu.se/~jwworth/the%20ultimate%20display.pdf
Sweller, J. (1988). Cognitive load during problem solving: Effect on learning. Cognitive Science, 12(2), 257-312.
Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312.
Sweller, J. (2010). Element interactivity and intrinsic, extraneous, and germane cognitive load. Educational Psychologist Review, 22(2), 123-138.
Sweller, J., Ayres, P., & Kalyuga S. (2011). Cognitive load theory. New York, NY: Springer.
Sweller, J., Van Merrienboer, J. J., & Paas, F. G. W. C. (1998) Cognitive architecture and instructional design. Educational Psychology Review, 10(3), 251-297.
Taatgen, N. A., Lebiere, C., & Anderson, J. R. (2006). Modeling paradigms in ACT-R. In Sun, R. (Ed.), Cognition and multi-agent interaction: From cognitive modeling to social simulation (pp. 29-52). New York, NY: Cambridge University Press.
Tan, W. K., Lee, P. W., & Hsu, C. W. (2015). Investigation of temporal dissociation and focused immersion as moderators of satisfaction-continuance intention relationship: Smartphone as an example. Telematics and Informatics, 32(4), 745-754.
Tanaka, M., Shigihara, Y., Funakura, M., Kanai, E., & Watanabe, Y. (2012). Fatigue-associated alterations of cognitive function and electroencephalographic power densities. Plos One, 7(4), e34774.
Tarhini, A., Hone, K., & Liu, X. (2013). User acceptance towards web-based learning systems: Investigating the role of social, organizational and individual factors in European higher education. Procedia Computer Science, 17, 189-197.
Thompson, B. (2004). Exploratory and confirmatory factor analysis: Understanding concepts and applications. Washington, DC: American Psychological Association.
Thorndike, E. L. (1921). On the organization of intellect. Psychological Review, 28(2), 141-151.
Thurstone, L. L. (1938). Primary mental abilities. Chicago, IL: University press.
Torner, J., Alpiste, F., & Brigos, M. (2016). Virtual reality application to improve spatial ability of engineering students. Paper presented at 24th Conference on Computer Graphics, Visualization and Computer Vision (WSCG 2016), Plzen, Czech Republic. Retrieved from https://upcommons.upc.edu/bitstream/handle/2117/97244/vr_spatial.pdf
Trickett, S. B., & Trafton, J. G. (2007). “What if…”: The use of conceptual simulations in scientific reasoning. Cognitive Science, 31(5), 843-75.
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.
Tuckey, H., & Selvaratnam, M. (1993). Studies involving three-dimensional visualisation skills in chemistry: A review. Studies in Science Education, 21, 99-121.
Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402.
Uysal, S.A., & Düger, T. (2012). Visual perception training on social skills and activity performance in low-vision children. Scandinavian Journal of Occupational Therapy, 19(1), 33-41.
Van Cutsem, J., Marcora, S., De Pauw, K., Bailey, S., Meeusen, R., & Roelands, B. (2017). The effects of mental fatigue on physical performance: A systematic review. Sports Medicine, 47(8), 1569-1588.
Van Strien, J. W., & Bouma, A. (1990). Mental rotation of laterally presented random shapes in males and females. Brain and Cognition, 12(2), 297-303.
Verdine, B. N., Golinkoff, R. M., Hirsh-Pasek, K., Newcombe, N. S., Filipowicz, A. T., & Chang, A. (2014). Deconstructing building blocks: Preschoolers’ spatial assembly performance relates to early mathematical skills. Child Development, 85(3), 1062-1076.
Voyer, D, & Bryden, M. P. (1990). Gender, level of spatial ability and lateralisation of mental rotation. Brain and Cognition, 13(1), 18-29.
Voyer, D., Voyer, S., & Bryden, M. P. (1995). Magnitude of sex differences in spatial abilities: A meta-analysis and consideration of critical variables. Psychological Bulletin, 117(2), 250-270.
Wai, J., Lubinski, D., & Benbow, C. P. (2009). Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance. Journal of Educational Psychology, 101(4), 817-835.
Warren, M. (1996). Evaluation and treatment of visual deficits. In L.W. Pedretti (Ed.), Occupational therapy practice skill for physical dysfunction (pp. 386-421). St. Louis, MO: Mosby.
Weber, D., Dekhtyar, S., & Herlitz, A. (2017). The Flynn effect in europe-effects of sex and region. Intelligence, 60, 39-45.
Weisberg, S. M., & Newcombe, N. S. (2017). Embodied cognition and STEM learning: Overview of a topical collection in CR: PI. Cognitive Research: Principles and Implications, 2(38), 1-6.
Wen, M. L., Tsai, C. C., Lin. H. M., & Chuang, S. C. (2004). Cognitive-metacognitive and content-technical aspects of constructivist Internet-based learning environments: A LISTEL analysis. Computers & Education, 43(3), 237-248.
Wetzels, M., Odekerken- Schroder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.
Wexler, M., Kosslyn, S. M., & Berthoz, A. (1998). Motor processes in mental rotation. Cognition, 68(1), 77-94.
Wilson, M. (2002). Six views of embodied cognition. Psychonomic Bulletin & Review, 9(4), 625-636.
Winnick, J. P. (1990). Adapted physical education and sport. Champaign, IL: Human Kinetics Books.
Wohlschlager, A., & Wohlschlager, A. (1998). Mental and manual rotation. Journal of Experimental Psychology: Human Perception and Performance, 24(2), 397-412.
Wraga, M., Duncan, L., Jacobs, E. C., Helt, M., & Church, J. (2006). Stereotype susceptibility narrows the gender gap in imagined self-rotation performance. Psychonomic Bulletin & Review, 13(5), 813-819.
Wylie, G. R., Genova, H. M., Deluca, J., & Dobryakova, E. (2017). The relationship between outcome prediction and cognitive fatigue: A convergence of paradigms. Cognitive, Affective, & Behavioral Neuroscience, 17(4), 838-849.
Yazzie-Mintz, E. (2007). Voices of students on engagement: A report on the 2006 high school survey of student engagement. Bloomington, IN: Center for Evaluation & Education Policy.
Yin, C. W., Sien, N. Y., Ying, L. A., Chung, S. F., & Tan, M. L. D. (2014). Virtual reality for upper extremity rehabilitation in early stroke: A pilot randomized controlled trial. Clinical Rehabilitation, 28(11), 1107-1114.
Zander, S., Wetzel, S., & Bertel, S. (2016) Rotate it! -Effects of touch-based gestures on elementary school students’ solving of mental rotation tasks. Computers & Education, 103, 158-169.