| 研究生: |
易庭葳 Yi, Ting-Wei |
|---|---|
| 論文名稱: |
認知負荷的作用:數位學習環境下語碼轉換與自我效能對學習動機與成果之影響-以SCAMPER課程為例 The Role of Cognitive Load: The Effects of Code-Switching and Self-Efficacy on Learning Motivation and Outcomes in Digital Learning Environments—An Example of a SCAMPER Course |
| 指導教授: |
侯建任
Hou, Jian-Ren |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 資訊管理研究所 Institute of Information Management |
| 論文出版年: | 2026 |
| 畢業學年度: | 114 |
| 語文別: | 中文 |
| 論文頁數: | 93 |
| 中文關鍵詞: | 語碼轉換 、自我效能 、認知負荷理論 、學習動機 、學習成果 |
| 外文關鍵詞: | Code-switching, Self-efficacy, Cognitive Load Theory, Learning Motivation, Learning Outcomes |
| 相關次數: | 點閱:5 下載:0 |
| 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 |
在數位學習逐漸成為主流教育模式的背景之下,教材已不僅是資訊傳遞的工具,更是影響學習者學習歷程的重要關鍵。當學習內容以多元形式呈現時,若缺乏適當的設計策略,可能使學習者在處理資訊的過程中承受過多無效負荷,進而影響其動機與學習表現。基於此,本研究以認知負荷理論 (Cognitive Load Theory, CLT)為依據,關注數位教材中可作為提示機制的設計策略,進一步探討此策略在不同學習者條件下會如何左右其認知處理,進而影響動機狀態與學習成果。
本研究以「SCAMPER創意思考法」作為教材主題,並聚焦於兩項教材設計因子,即語碼轉換 (Code-switching)與自我效能 (Self-efficacy)指示。首先,在語碼轉換設計方面,本研究針對教材中的關鍵元素,採取中文內容中嵌入英文詞彙的方式,使學習者在閱讀過程中更容易注意到重要概念。其次,在自我效能指示設計方面,本研究在學習教材中加入與學習者能力感知相關的提示語句,使學習者在接觸教材以後,即便教材內容本身並未更動,也能感受到「教材內容與其既有能力具有連結」的訊號。綜合以上,本研究操弄「是否加入語碼轉換」以及「是否提供自我效能指示」,形成四組情境組別。
本研究透過社群平台發放問卷。研究結果顯示,學習者對語碼轉換的感知能夠減少因教材設計不當所帶來的額外負擔,同時亦有助對教材的投入,且在教材中加入自我效能指示,有助於提升學習者的自我效能感知。進一步而言,當學習者具備較高的感知自我效能時,感知語碼轉換的效果會更加明顯,表示此效果與學習者的能力信念密切相關。本研究亦釐清不同認知負荷對自我決定連續體的影響,當學習者感受到較高的外在認知負荷時,較容易因額外負擔而轉向外在調節或無動機傾向;而雖然增生認知負荷對外在調節的影響未達顯著,但其仍能促進較正向的內在動機與具認同感的認同調節,並降低無動機傾向。本研究亦指出,降低干擾性的負荷對提升學習表現具有幫助,但深層認知投入的效果卻未必能反映在立即測驗的結果上。
總結來說,本研究將語碼轉換與自我效能指示納入教材設計,延伸了認知負荷理論於數位學習情境中的應用。本研究亦整合認知負荷與動機歷程,提供更完整的分析架構。在實務上,本研究提出可操作之教材設計原則,為數位教材設計提供參考依據。
As e-learning becomes mainstream, instructional materials serve not merely as a medium for information delivery, but also as key factors that influence learning processes. Based on Cognitive Load Theory (CLT), this study explores how design strategies in digital materials affect cognitive loads, which in turn influence learning motivation and learning outcomes.
Using SCAMPER as the topic, this study examined two design strategies: code-switching and self-efficacy statement. Code-switching embedded English terms into Chinese materials to highlight key concepts. Self-efficacy statements were added so that, even with the same materials, learners could perceive a connection between the materials and their abilities. A questionnaire distributed through social media platforms formed four conditions.
The results show that perceived code-switching decrease learners’ extraneous cognitive load (ECL) and enhance germane cognitive load (GCL). Self-efficacy statements improve perceived self-efficacy, and perceived code-switching is more effective for learners with higher perceived self-efficacy. Higher ECL may increase external regulation (ER) and amotivation (AM). Although GCL didn’t significantly affect ER, it enhanced intrinsic motivation (IM) and identified regulation (IR) while reducing AM. Reducing ECL significantly supports learning outcomes, though GCL may not be immediately reflected in test results.
Overall, this study integrates code-switching and self-efficacy statement into digital material design, extending CLT to digital learning contexts. By integrating cognitive load with motivational processes, this study provides a more systematic analytical framework and offers practical design principles to support learning.
Ahn, J., La Ferle, C., & Lee, D. (2017). Language and advertising effectiveness: Code-switching in the Korean marketplace. International Journal of Advertising, 36(3), 477–495. https://doi.org/10.1080/02650487.2015.1128869
Albus, P., Vogt, A., & Seufert, T. (2021). Signaling in virtual reality influences learning outcome and cognitive load. Computers & Education, 166, 104154. https://doi.org/10.1016/j.compedu.2021.104154
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
Bannert, M. (2002). Managing cognitive load—Recent trends in cognitive load theory. Learning and Instruction, 12(1), 139–146. https://doi.org/10.1016/S0959-4752(01)00021-4
Beege, M., & Schneider, S. (2023). Emotional design of pedagogical agents: The influence of enthusiasm and model-observer similarity. Educational Technology Research and Development, 71(3), 859–880. https://doi.org/10.1007/s11423-023-10213-4
Benson, E. J. (2001). The neglected early history of codeswitching research in the United States. Language & Communication, 21(1), 23–36. https://doi.org/10.1016/S0271-5309(00)00012-4
Boonpracha, J. (2023). SCAMPER for creativity of students’ creative idea creation in product design. Thinking Skills and Creativity, 48, 101282. https://doi.org/10.1016/j.tsc.2023.101282
Bransford, J. D., Brown, A. L., & Cocking, R. R. (2000). How People Learn: Brain, Mind, Experience, and School: Expanded Edition. National Academies Press. https://doi.org/10.17226/9853
Bravo-Sotelo, K. P., & Metila, R. A. (2023). Determining the pedagogical value of code-switching: Functions of teacher code-switching in tertiary level mathematics classrooms. International Journal of Multilingualism, 20(3), 1088–1105. https://doi.org/10.1080/14790718.2021.2002332
Bui, H. T. T., Amrita, K., & Nguyen, T. T. T. (2025). Exploring the impact of project-based learning with scamper and trello on creative thinking of engineering students. European Journal of Engineering Education, 50(5), 948–965. https://doi.org/10.1080/03043797.2025.2474047
Caballero, N., & Celaya, M. L. (2022). Code-switching by primary school bilingual EFL learners: A study on the effect of proficiency and modality of interaction. International Journal of Bilingual Education and Bilingualism, 25(1), 301–313. https://doi.org/10.1080/13670050.2019.1671309
Cahyani, H., de Courcy, M., & Barnett, J. (2018). Teachers’ code-switching in bilingual classrooms: Exploring pedagogical and sociocultural functions. International Journal of Bilingual Education and Bilingualism, 21(4), 465–479. https://doi.org/10.1080/13670050.2016.1189509
Cammeraat, S., Rop, G., & de Koning, B. B. (2020). The influence of spatial distance and signaling on the split-attention effect. Computers in Human Behavior, 105, 106203. https://doi.org/10.1016/j.chb.2019.106203
Chandler, P., & Sweller, J. (1991). Cognitive Load Theory and the Format of Instruction. Cognition and Instruction, 8(4), 293–332. https://doi.org/10.1207/s1532690xci0804_2
Chang, C.-C., Liang, C., Chou, P.-N., & Lin, G.-Y. (2017). Is game-based learning better in flow experience and various types of cognitive load than non-game-based learning? Perspective from multimedia and media richness. Computers in Human Behavior, 71, 218–227. https://doi.org/10.1016/j.chb.2017.01.031
Cook, D. A., & Artino Jr, A. R. (2016). Motivation to learn: An overview of contemporary theories. Medical Education, 50(10), 997–1014. https://doi.org/10.1111/medu.13074
Costley, J., Fanguy, M., Lange, C., & Baldwin, M. (2021). The effects of video lecture viewing strategies on cognitive load. Journal of Computing in Higher Education, 33(1), 19–38. https://doi.org/10.1007/s12528-020-09254-y
Costley, J., & Lange, C. (2017). The Mediating Effects of Germane Cognitive Load on the Relationship Between Instructional Design and Students’ Future Behavioral Intention. Electronic Journal of E-Learning, 15(2), pp174‑187-pp174‑187.
Cowan, N. (2001). The magical number 4 in short-term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(1), 87–114. https://doi.org/10.1017/S0140525X01003922
Deci, E. L. (1971). Effects of externally mediated rewards on intrinsic motivation. Journal of Personality and Social Psychology, 18(1), 105–115. https://doi.org/10.1037/h0030644
Deci, E. L., Ryan, R. M., & Williams, G. C. (1996). Need satisfaction and the self-regulation of learning. Learning and Individual Differences, Special Issue: A Symposium on Self-Regulated Learning, 8(3), 165–183. https://doi.org/10.1016/S1041-6080(96)90013-8
Désiron, J. C., & Schneider, S. (2024). Exploring the interplay of information relevance and colorfulness in multimedia learning. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1393113
Eberle, B. (1996). Scamper on: Games for Imagination Development. Prufrock Press Inc.
Eberle, B. (2023). Scamper: Creative Games and Activities for Imagination Development (Combined ed., Grades 2-8). Routledge. https://doi.org/10.4324/9781003423560
Evans, P., Vansteenkiste, M., Parker, P., Kingsford-Smith, A., & Zhou, S. (2024). Cognitive Load Theory and Its Relationships with Motivation: A Self-Determination Theory Perspective. Educational Psychology Review, 36(1), 7. https://doi.org/10.1007/s10648-023-09841-2
Ezeh, N. G., Umeh, I. A., & Anyanwu, E. C. (2022). Code Switching and Code Mixing in Teaching and Learning of English as a Second Language: Building on Knowledge. English Language Teaching, 15(9), 106–113.
Feldon, D. F., Callan, G., Juth, S., & Jeong, S. (2019). Cognitive Load as Motivational Cost. Educational Psychology Review, 31(2), 319–337. https://doi.org/10.1007/s10648-019-09464-6
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/10.1177/002224378101800104
Gerjets, P., & Scheiter, K. (2003). Goal Configurations and Processing Strategies as Moderators Between Instructional Design and Cognitive Load: Evidence From Hypertext-Based Instruction. Educational Psychologist, 38(1), 33–41. https://doi.org/10.1207/S15326985EP3801_5
Guay, F., Vallerand, R. J., & Blanchard, C. (2000). On the Assessment of Situational Intrinsic and Extrinsic Motivation: The Situational Motivation Scale (SIMS). Motivation and Emotion, 24(3), 175–213. https://doi.org/10.1023/A:1005614228250
Gupta, U., & Zheng, R. Z. (2020). Cognitive Load in Solving Mathematics Problems: Validating the Role of Motivation and the Interaction among Prior Knowledge, Worked Examples, and Task Difficulty. European Journal of STEM Education, 5(1). https://eric.ed.gov/?id=EJ1276025
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
Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. In Multivariate data analysis (pp. 785–785). https://pesquisa.bvsalud.org/portal/resource/pt/biblio-1074274
Hartelt, T., & Martens, H. (2024). Self-regulatory and metacognitive instruction regarding student conceptions: Influence on students’ self-efficacy and cognitive load. Frontiers in Psychology, 15. https://doi.org/10.3389/fpsyg.2024.1450947
Hsu, Y.-T., & Lee, S. W.-Y. (2026). Support for self-regulated learning in immersive virtual reality – An experimental design for science learning. Education and Information Technologies, 31(1), 269–300. https://doi.org/10.1007/s10639-025-13807-y
Jantjies, M., & Joy, M. (2015). Mobile enhanced learning in a South African context. Educational Technology & Society, Volume 18(Number 1), 308–320.
Kante, M., & Michel, B. (2023). Use of partial least squares structural equation modelling (PLS-SEM) in privacy and disclosure research on social network sites: A systematic review. Computers in Human Behavior Reports, 10, 100291. https://doi.org/10.1016/j.chbr.2023.100291
Kelman, H. C. (1961). Processes of opinion change. Public Opinion Quarterly, 25(1), 57–78. https://doi.org/10.1086/266996
Kennedy, D. (2006). Writing and using learning outcomes: A practical guide. University College Cork. https://hdl.handle.net/10468/1613
Klepsch, M., Schmitz, F., & Seufert, T. (2017). Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.01997
Klepsch, M., & Seufert, T. (2020). Understanding instructional design effects by differentiated measurement of intrinsic, extraneous, and germane cognitive load. Instructional Science, 48(1), 45–77. https://doi.org/10.1007/s11251-020-09502-9
Krieglstein, F., Meusel, F., Rothenstein, E., Scheller, N., Wesenberg, L., & Rey, G. D. (2023). How to insert visual information into a whiteboard animation with a human hand? Effects of different insertion styles on learning. Smart Learning Environments, 10(1), 39. https://doi.org/10.1186/s40561-023-00258-6
Lee, J. H., & Levine, G. S. (2020). The effects of instructor language choice on second language vocabulary learning and listening comprehension. Language Teaching Research, 24(2), 250–272. https://doi.org/10.1177/1362168818770910
Leppink, J., Paas, F., van Gog, T., van der Vleuten, C. P. M., & van Merriënboer, J. J. G. (2014). Effects of pairs of problems and examples on task performance and different types of cognitive load. Learning and Instruction, 30, 32–42. https://doi.org/10.1016/j.learninstruc.2013.12.001
Li, X., & Xia, M. (2024). Dynamic calibration of self-efficacy to cognitive load: The longitudinal mediation effect of state anxiety. BMC Psychology, 12(1), 752. https://doi.org/10.1186/s40359-024-02254-y
Mayer, R. E. (2009). Multimedia learning, 2nd ed (pp. xiii, 304). Cambridge University Press. https://doi.org/10.1017/CBO9780511811678
Mayer, R. E., & Fiorella, L. (2014). Principles for Reducing Extraneous Processing in Multimedia Learning: Coherence, Signaling, Redundancy, Spatial Contiguity, and Temporal Contiguity Principles. In R. E. Mayer (Ed.), The Cambridge Handbook of Multimedia Learning (2nd edn, pp. 279–315). Cambridge University Press. https://doi.org/10.1017/CBO9781139547369.015
Myers-Scotton, C. (1993). Social Motivations for Codeswitching: Evidence from Africa. Clarendon Press.
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive Load Theory and Instructional Design: Recent Developments. Educational Psychologist, 38(1), 1–4. https://doi.org/10.1207/S15326985EP3801_1
Pintrich, P. R., & De Groot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance. Journal of Educational Psychology, 82(1), 33–40. https://doi.org/10.1037/0022-0663.82.1.33
Polaris Market Research. (2025). E-learning Market Size Global Report, 2025—2034. https://www.polarismarketresearch.com/industry-analysis/e-learning-market?utm_source=chatgpt.com
Poon, J. C. Y., Au, A. C. Y., Tong, T. M. Y., & Lau, S. (2014). The feasibility of enhancement of knowledge and self-confidence in creativity: A pilot study of a three-hour SCAMPER workshop on secondary students. Thinking Skills and Creativity, 14, 32–40. https://doi.org/10.1016/j.tsc.2014.06.006
Poplack, S. (2007). Sometimes I’ll start a sentence in Spanish y termino en español: Toward a typology of code-switching. In The Bilingualism Reader (2nd edn). Routledge.
Probyn, M. (2009). ‘Smuggling the vernacular into the classroom’: Conflicts and tensions in classroom codeswitching in township/rural schools in South Africa. International Journal of Bilingual Education and Bilingualism, 12(2), 123–136. https://doi.org/10.1080/13670050802153137
Quintero-Manes, R., & Vieira, C. (2025). Differentiated measurement of cognitive loads in computer programming. Journal of Computing in Higher Education, 37(3), 945–962. https://doi.org/10.1007/s12528-024-09411-7
Redifer, J. L., Bae, C. L., & Zhao, Q. (2021). Self-efficacy and performance feedback: Impacts on cognitive load during creative thinking. Learning and Instruction, 71, 101395. https://doi.org/10.1016/j.learninstruc.2020.101395
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68
Ryan, R. M., & Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
Schneider, S. (2021). Are there never too many choice options? The effect of increasing the number of choice options on learning with digital media. Human Behavior and Emerging Technologies, 3(5), 759–775. https://doi.org/10.1002/hbe2.295
Schneider, S., Beege, M., Nebel, S., & Rey, G. D. (2018). A meta-analysis of how signaling affects learning with media. Educational Research Review, 23, 1–24. https://doi.org/10.1016/j.edurev.2017.11.001
Schneider, S., Nebel, S., Beege, M., & Rey, G. D. (2018). The autonomy-enhancing effects of choice on cognitive load, motivation and learning with digital media. Learning and Instruction, 58, 161–172. https://doi.org/10.1016/j.learninstruc.2018.06.006
Schunk, D. H. (1989). Self-efficacy and achievement behaviors. Educational Psychology Review, 1(3), 173–208. https://doi.org/10.1007/BF01320134
Seufert, T. (2018). The interplay between self-regulation in learning and cognitive load. Educational Research Review, 24, 116–129. https://doi.org/10.1016/j.edurev.2018.03.004
Shieh, M.-D., & Hsieh, H.-Y. (2021). Study of Influence of Different Models of E-Learning Content Product Design on Students’ Learning Motivation and Effectiveness. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.753458
Sinclair, A. J., & Fernández, R. (2023). Alignment of code switching varies with proficiency in second language learning dialogue. System, 113, 102952. https://doi.org/10.1016/j.system.2022.102952
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1016/0364-0213(88)90023-7
Sweller, J., & Chandler, P. (1994). Why Some Material Is Difficult to Learn. Cognition and Instruction, 12(3), 185–233. https://doi.org/10.1207/s1532690xci1203_1
Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 31(2), 261–292. https://doi.org/10.1007/s10648-019-09465-5
Sweller, J., van Merrienboer, J. J. G., & Paas, F. G. W. C. (1998). Cognitive Architecture and Instructional Design. Educational Psychology Review, 10(3), 251–296. https://doi.org/10.1023/A:1022193728205
TWNIC. (2024). 2024 台灣網路報告. https://report.twnic.tw/2024/index.html
Wang, T., Li, S., Tan, C., Zhang, J., & Lajoie, S. P. (2023). Cognitive load patterns affect temporal dynamics of self-regulated learning behaviors, metacognitive judgments, and learning achievements. Computers & Education, 207, 104924. https://doi.org/10.1016/j.compedu.2023.104924
What Is E-Learning? (n.d.). Retrieved 11 October 2025, from https://www.td.org/talent-development-glossary-terms/what-is-e-learning?utm_source=chatgpt.com
Zhu, Y., Abidi, L., Savelberg, H., Köhler, S. E., Kusurkar, R. A., & Dolmans, D. (2024). Fostering university students’ autonomous motivation through a societal impact project: A qualitative study of students’ and teachers’ perspectives. BMC Medical Education, 24(1), 1503. https://doi.org/10.1186/s12909-024-06494-9
Zycinska, J., & Januszek, M. (2021). How to measure the self-determination continuum? Initial validity evidence for the polish version of the Global Motivation Scale (GMS). Current Psychology, 40(5), 2211–2220. https://doi.org/10.1007/s12144-019-0145-3
行政院人事行政總處、公務人員數位學習、e等公務園+學習平臺. (n.d.). e等公務園+學習平臺. Retrieved 11 April 2026, from https://elearn.hrd.gov.tw