博碩士論文 100421042 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:145 、訪客IP:18.117.12.181
姓名 劉承政(Cheng-zheng Liu)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 從社會認知理論觀點探討行動科技輔助學習下學生之自我調節
相關論文
★ 工作滿足、領導行為、工作特性與人格特質對離職傾向之探討-以超大型會計師事務所審計人員為例★ 以組織診斷模型診斷企業組織層級架構-以某公司為例
★ 科技產業組織診斷與分析之研究-以Q公司為例★ 製造業推行六標準差的成功關鍵因素探討
★ 高職辦理輪調式建教班對學校經營績效之評估-以北區私立高職為例★ 本國商業銀行經營績效之探討-資料包絡分析法之應用
★ 台灣中小企業 創業動機與創業績效關係之研究★ 員工當責與真誠領導之關聯性-以心理賦權與團隊凝聚力為中介變數
★ 以個人與環境適配為關鍵中介探討特定品牌領導對員工品牌權益之影響★ 道德感讓你買更多綠色產品?從消費者產品知覺價格及品質角度來探討—以綠色程度做調節
★ 線上品牌社群該如何提升與粉絲的價值共創?以線上品牌社群活動與線下實體活動為中介變數探討★ 農業創新服務模式之商業模式研究-以蜂巢數據科技有限公司為例
★ 燈⽕闌珊處的求職旅程:如何透 過⼯作價值觀、雇主吸引⼒、激 勵因⼦為求職者點亮路徑★ 購買意願的幕後功臣:Instagram大小網紅的 自我揭露對消費者自我一致性與感知真實的影響
★ 中小企業之組織診斷與分析-以A公司為例★ 高科技產業人力資源發展與組織績效之研究-以新竹科學園區為例
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   至系統瀏覽論文 ( 永不開放)
摘要(中) 本研究從社會認知理論觀點探討高等教育學生在行動科技輔助學習下,個人因素與環境因素對學生自我調整學習策略以及自我調整學習策略對學習成效的影響,個人因素部分包含了「目標導向」、「自我效能」與「學習風格」,而環境因素部分則以「認知負荷」與「班級氣氛」進行探討。 此外,本研究亦進一步探討,在輔以行動學習下與傳統式學習在影響路徑上的差異,藉以了解行動科技輔助學習的效果。
本研究對象為交通大學修習管理學課程之學生,採用實驗設計之「靜態組比較設計」,輔以行動科技學習為實驗組有64人,而傳統式學習則為控制組176人。並透過SPSS21與AMOS21進行個人資料與信效度分析,並利用路徑分析(Path Analysis)及多群組分析(Multiple-Group Analysis)分析本研究之路徑因果關係以及兩組間的路徑差異。 本研究發現兩組在路徑上有不同顯著結果,說明如下:
(一) 在四種目標導向中,實驗組學生只有「趨向精熟」會正向影響「自我調整學習策略」;控制組學生則是在「趨向表現」、「逃避表現」、「逃避精熟」會正向影響「自我調整學習策略」。
(二) 兩組學生之「自我效能」與「內在認知負荷」皆正向影響「自我調整學習策略」。
(三) 控制組之「班級氣氛」會正向影響「自我調整學習策略」;實驗組則無顯著。
(四) 兩組學生之「自我調整學習策略」皆正向影響「學習成績」與「學習滿意度」。
(五) 兩組學生在「逃避精熟」到「自我調整學習策略」、「趨向精熟」到「自我調整學習策略」、「班級氣氛」到「自我調整學習策略」以及「自我調整學習策略」到「學習滿意度」四條路徑上有顯著差異。
摘要(英) This research will attempt to determine whether personal factors and environmental factors will influence higher education students’ self-regulated learning (SRL) strategy and learning outcomes in a blended learning environment according to social cognitive theory view. The personal factors will include goal orientation, self-efficacy, and learning style; the environmental factors will include cognitive load and classroom climate. Furthermore, the research will compare the path differences between blended learning and traditional learning to investigate the effects of mobile learning.
The subjects are the management class’s students in the National Chiao Tung University. The research adopted the static group comparison of experimental design. The control group has 176 students, and an experimental group has 64 students. The Path Analysis was conducted to analyze the data and investigate the causalities among all parameters constructed in the research. In addition the multiple-group analysis was conducted to explore the difference of the two groups. The results of the study were summarized as follows:
i. In terms of goal orientation, the mastery-approach positive effect on SRL strategy in the experimental group; the mastery-avoidance, performance-approach, and performance-avoidance positive effect on SRL strategy in the control group.
ii. Self-efficacy and intrinsic cognitive load positive effect on SRL strategy in both groups.
iii. Classroom climate positive effect on SRL strategy only in control group.
iv. SRL strategy positive effect on achievement and learning satisfaction in both group.
v. The path of mastery-approach→SRL strategy, mastery-avoidance→SRL strategy, Classroom climate→SRL strategy, SRL strategy→learning satisfaction have significantly differences in two groups.
關鍵字(中) ★ 行動學習
★ 自我調整學習策略
★ 目標導向
★ 自我效能
★ 學習風格
★ 認知負荷
★ 班級氣氛
★ 社會認知理論
★ 路徑分析
關鍵字(英) ★ Mobile learning
★ Self-regulated learning strategy
★ Goal orientation
★ Self-efficacy
★ Learning style
★ Cognitive load
★ Classroom climate
★ Social cognitive theory
★ Path analysis
論文目次 摘要 i
Abstract ii
圖目錄 vi
表目錄 vii
一、 緒論 1
1-1  研究背景與動機 1
1-2  研究目的與貢獻 2
二、 文獻探討與假設 6
2-1  文獻探討 6
2-1-1 行動學習(Mobile learning, M-learning) 6
2-1-2 社會認知理論 (Social Cognitive Theory, SCT) 8
2-1-3 自我調整學習(Self-Regulated Learning,SRL) 10
2-1-4 自我調節與自我調整學習策略 11
2-1-5 文獻探討小結 12
2-2  推論假設 13
2-2-1 個人因素 14
2-2-2 環境因素 19
2-2-3 學習成效 22
2-3  完整研究架構 24
三、 研究方法 25
3-1  實驗設計 25
3-1-1 實驗對象 25
3-1-2 教學內容 25
3-1-3 實驗流程 27
3-1-4 實驗設計之內、外在效度 28
3-2  問卷設計 30
3-2-1 Kolb學習風格量表 30
3-2-2 自我效能衡量 31
3-2-3 目標導向衡量 31
3-2-4 認知負荷衡量 33
3-2-5 班級氣氛 34
3-2-6 自我調整學習策略 35
3-2-7 學習成績 36
3-2-8 學習滿意度 37
3-3  資料分析方法 38
3-3-1 敘述性統計分析 38
3-3-2 信度分析 38
3-3-3 效度分析 38
3-3-4 路徑分析 39
3-3-5 多群組分析 39
3-3-6 變異數分析 39
四、 資料分析 40
4-1  樣本個人資料之敘述性統計 40
4-2  變數之敘述性統計 45
4-3  信度分析 49
4-4  建構效度分析 50
4-4-1 收斂效度 50
4-4-2 區別效度 53
4-5  路徑分析 55
4-5-1 實驗組路徑分析 55
4-5-2 控制組路徑分析 58
4-6  多群組分析 60
4-7  單因子變異數分析(ANOVA) 63
五、 結論與建議 65
5-1  研究發現 65
5-2  實務管理意涵 69
5-2-1 教學方式的選擇 69
5-2-2 提供適當困難度之教材 70
5-3-3 課程設計 70
5-3-4 教導學生成為自我調整學習者 71
5-3  研究限制與後續建議 71
參考文獻 73
附錄一 學習風格問卷 80
附錄二 目標導向、認知負荷、自我調整學習策略、班級氣氛、滿意度問卷 83
附錄三 管理學課程大綱 88
參考文獻 Adelman, H. S., & Taylor, L. (2005). Classroom climate. Encyclopedia of School Psychology, Thousand Oaks, CA: Sage.
Akkoyunlu, B., & Yilmaz-Soylu, M. (2008). A Study of Student′s Perceptions in a Blended Learning Environment Based on Different Learning Styles.Educational Technology & Society, 11(1), 183-193.
Akkoyunlu, Buket, and Meryem Yilmaz Soylu. "A Study on Students′ Views about Blended Learning Environment." Online Submission (2004).
Al‐Qahtani, A. A., & Higgins, S. E. (2012). Effects of traditional, blended and e‐learning on students′ achievement in higher education. Journal of Computer Assisted Learning, 29(3), 220-234.
Artino, A. R., & Stephens, J. M. (2009). Beyond grades in online learning: Adaptive profiles of academic self-regulation among naval academy undergraduates. Journal of Advanced Academics, 20(4), 568-601.
Bandura, A. (1977). Social learning theory.
Bandura, A. (1986). Social foundations of thought and action (pp. 5-107). Prentice Hall.: Englewood Cliffs, NJ.
Bandura, A. (1989). Human agency in social cognitive theory. American psychologist, 44(9), 1175.
Bandura, A. (1989). Social cognitive theory. In R. Vasta (Ed.), Annals of child development. Vol.6. Six theories of child development (pp. 1-60). Greenwich, CT: JAI Press.
Bandura, A. (1991). Social cognitive theory of self-regulation. Organizational behavior and human decision processes, 50(2), 248-287.
Barzegar, M. (2012). The Relationship between Goal Orientation and Academic Achievement--The Mediation Role of Self Regulated Learning Strategies--A Path Analysis. Online Submission.
Carter, V. (1973). Good.(1973). Dictionary of education. New York HG Grow Hill Book Company, 198.
Chen, N. S., Wei, C. W., Chen, Y. R., & Wang, Y. C. (2008). Bridging the Gap Between Face-to-Face and Cyber Interaction in Holistic Blended Learning Environments. In Handbook on Information Technologies for Education and Training (pp. 239-259). Springer Berlin Heidelberg.
Chen, Y. S., Kao, T. C., & Sheu, J. P. (2003). A mobile learning system for scaffolding bird watching learning. Journal of Computer Assisted Learning,19(3), 347-359.
Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior.Computers & Education, 59(3), 1054-1064.
Churchill, D., & Churchill, N. (2008). Educational affordances of PDAs: A study of a teacher’s exploration of this technology. Computers & Education, 50(4), 1439-1450.
Driscoll, M. (2002). Blended learning: Let’s get beyond the hype. E-learning,1(4).
Elliot, A. J., & Church, M. A. (1997). A hierarchical model of approach and avoidance achievement motivation. Journal of personality and social psychology,72(1), 218.
Elliot, A. J., & McGregor, H. A. (2001). A 2× 2 achievement goal framework.Journal of personality and social psychology, 80(3), 501.
Flanders, N. A. (1960). Teacher Influence, Pupil Attitudes, and Achievement.
Gaeta, M. L.(2013) Learning Goals and Strategies in the Self-regulation of Learning. Online Submission.
Goh, T. T., Seet, B. C., & Chen, N. S. (2012). The impact of persuasive SMS on students′ self‐regulated learning. British Journal of Educational Technology,43(4), 624-640.
Gould, T. (2003, June). Hybrid classes: Maximizing institutional resources and student learning. In Proceedings of the 2003 ASCUE Conference (pp. 54-59).
Hwang, G. J., Wu, P. H., Zhuang, Y. Y., & Huang, Y. M. (2013). Effects of the inquiry-based mobile learning model on the cognitive load and learning achievement of students. Interactive Learning Environments, 21(4), 338-354.
Kablan, Z. (2013). Sibel Kaya. Journal of Baltic Science Education, 12(4).
Keller, J. (2011). The slow-motion mobile campus. The chronicle of higher education, 84-86.
Kolb, A. Y. (2005). The Kolb learning style inventory–version 3.1 2005 technical specifications. Boston, MA: Hay Resource Direct, 200.
Kraiger, K., Ford, J. K., & Salas, E. (1993). Application of cognitive, skill-based, and affective theories of learning outcomes to new methods of training evaluation. Journal of applied psychology, 78(2), 311.
Kukulska-Hulme, A., & Traxler, J. (Eds.). (2005). Mobile learning: A handbook for educators and trainers. Psychology Press
Lehner, F., & Nosekabel, H. (2002). The role of mobile devices in E-Learning first experiences with a wireless E-Learning environment. In Wireless and Mobile Technologies in Education, 2002. Proceedings. IEEE International Workshop on (pp. 103-106). IEEE.
Leppink, J., Paas, F., Van der Vleuten, C. P., Van Gog, T., & Van Merriënboer, J. J. (2013). Development of an instrument for measuring different types of cognitive load. Behavior research methods, 45(4), 1058-1072.
Lieberman, D. A., & Remedios, R. (2007). Do undergraduates′ motives for studying change as they progress through their degrees?. British Journal of Educational Psychology, 77(2), 379-395.
Manochehri, N., & Young, J. I. (2006). The impact of student learning styles with web-based learning or instructor-based learning on student knowledge and satisfaction. Quarterly Review of Distance Education, 7(3), 313-316.
Moliterni, P., De Stasio, S., Carboni, M., & Di Chiacchio, C. (2010). Motivational and Self Regulated Learning Components of Academic Performance. Online Submission.
Moos, R. H. (1980). Evaluating classroom learning environments. Studies in educational evaluation, 6(3), 239-252.
Motiwalla, L. F. (2007). Mobile learning: A framework and evaluation. Computers & Education, 49(3), 581-596.
Neber, H., He, J., Liu, B. X., & Schofield, N. (2008). Chinese high-school students in physics classroom as active, self-regulated learners: Cognitive, motivational and environmental aspects. International Journal of Science and Mathematics Education, 6(4), 769-788.
O’Malley, C., Vavoula, G., Glew, J. P., Taylor, J., Sharples, M., & Lefrere, P. (2008). Mobilearn: WP 4–guidelines for learning/teaching/tutoring in a mobile environment (2003). URL: www. mobilearn. org/download/results/guidelines. pdf.
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational psychologist, 38(1), 1-4.
Peng, H., Su, Y. J., Chou, C., & Tsai, C. C. (2009). Ubiquitous knowledge construction: Mobile learning re‐defined and a conceptual framework.Innovations in Education and Teaching International, 46(2), 171-183.
Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning in college students. Educational psychology review,16(4), 385-407.
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.
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.
Pociask, F. D., & Morrison, G. R. (2008). Controlling split attention and redundancy in physical therapy instruction. Educational Technology Research and Development, 56(4), 379-399.
Quinn, C., & Hobbs, S. (2000). Learning objects and instruction components.Educational Technology & Society, 3(2), 13-20.
Rotgans, J. I., & Schmidt, H. G. (2012). Problem-based learning and student motivation: The role of interest in learning and achievement. In One-Day, One-Problem (pp. 85-101). Springer Singapore.
Sadi, O., & Uyar, M. (2013). THE RELATIONSHIP BETWEEN SELF-EFFICACY, SELF-REGULATED LEARNING STRATEGIES AND ACHIEVEMENT: A PATH MODEL. Journal of Baltic Science Education, 12(1).
Schunk, D. H. (1989). Social cognitive theory and self-regulated learning. InSelf-regulated learning and academic achievement (pp. 83-110). Springer New York.
Schunk, D. H. (1996). Learning theories. Printice Hall Inc., New Jersey.
Schunk, D. H., & Ertmer, P. A. (1999). Self-regulatory processes during computer skill acquisition: Goal and self-evaluative influences. Journal of Educational Psychology, 91(2), 251.
Sha, L., Looi, C. K., Chen, W., & Zhang, B. H. (2012). Understanding mobile learning from the perspective of self‐regulated learning. Journal of Computer Assisted Learning, 28(4), 366-378.
Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a theory of mobile learning. Proceedings of mLearn 2005, 1(1), 1-9.
Sharples, M., Taylor, J., & Vavoula, G. (2010). A theory of learning for the mobile age. In Medienbildung in neuen Kulturräumen (pp. 87-99). VS Verlag für Sozialwissenschaften.
Shudong, W., & Higgins, M. (2005, November). Limitations of mobile phone learning. In Wireless and Mobile Technologies in Education, 2005. WMTE 2005. IEEE International Workshop on (pp. 3-pp). IEEE.
Stone, T. (2010): Enterprise Mobile Learning and Development. A Guide for CLOs and Training Managers
Sun, J. C. Y., & Rueda, R. (2012). Situational interest, computer self‐efficacy and self‐regulation: Their impact on student engagement in distance education.British Journal of Educational Technology, 43(2), 191-204.
Sweller, J., Van Merrienboer, J. J., & Paas, F. G. (1998). Cognitive architecture and instructional design. Educational psychology review, 10(3), 251-296.
Tanriseven, I., & Dilmac, B. (2013). Predictive Relationships between Secondary School Students′ Human Values, Motivational Beliefs, and Self-Regulated Learning Strategies. Educational Sciences: Theory & Practice, 13(1).
Traxler, J. (2007). Defining, Discussing and Evaluating Mobile Learning: The moving finger writes and having writ.... The International Review of Research in Open and Distance Learning, 8(2).
Vogel, D., Kennedy, D., & Kwok, R. C. W. (2009). Does using mobile device applications lead to learning?. Journal of Interactive Learning Research, 20(4), 469-485.
Vrugt, A., & Oort, F. J. (2008). Metacognition, achievement goals, study strategies and academic achievement: pathways to achievement. Metacognition and Learning, 3(2), 123-146.
Wan, Z., Compeau, D., & Haggerty, N. (2012). The effects of self-regulated learning processes on e-learning outcomes in organizational settings. Journal of Management Information Systems, 29(1), 307-340.
Wang, C. H., Shannon, D. M., & Ross, M. E. (2013). Students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning. Distance Education, 34(3), 302-323.
Wang, K. H., Wang, T. H., Wang, W. L., & Huang, S. C. (2006). Learning styles and formative assessment strategy: enhancing student achievement in Web‐based learning. Journal of Computer Assisted Learning, 22(3), 207-217.
Whipp, J. L., & Chiarelli, S. (2004). Self-regulation in a web-based course: A case study. Educational Technology Research and Development, 52(4), 5-21.
Yamac, A., & Ocak, G. (2013). Examination of the relationships between fifth graders’ self-regulated learning strategies, motivational beliefs, attitudes, and achievement.
Zimmerman, B. J. (1989). A social cognitive view of self-regulated academic learning. Journal of educational psychology, 81(3), 329.
Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An overview. Educational psychologist, 25(1), 3-17.
余鑑、于俊傑、呂俊毅與張珮禎.(2012) 行動學習(Mobile Learning)應用於公務人員培訓之研究. T&D 飛訊第140 期
龐維國 (2003). 自主学习——学与教的原理和策略 (Vol. 7, No. 003). 上海: 华东师范大学出版社.
林佩瑋 (2012). 學生的技能學習風格、自我調整學習策略與學習成效相關研究-以高雄市高職餐飲管理科學生為例. 國立高雄應用科技大學觀光與餐旅管理系碩士論文
邱皓政 (2008). 量化研究法: 研究設計與資料處理: SPSS 中文視窗版操作實務詳析. 一. 雙葉書廊.
張靜嚳 (1996). 傳統教學有何不妥. 建構與教學: 中部地區科學教育簡訊= Constructivism and Teaching, 4.
程炳林 (2002). 多重目標導向, 動機問題與調整策略之交互作用. 師大學報: 教育類, 47(1), 39-58.
程炳林 (2003). 四向度目標導向模式之研究. 師大學報: 教育類, 48(1), 15-40.
劉惠芬與孫欽儒 (2000). 人際傳播對網路教學的影響. 論文發表 於 第 四 屆 全 球 華 人 教 育 資 訊 科 技 大 會 論 文, 2, 551-557.
蔡秉恆 (2002) 國小六年級學生運用網路數位學校學習柱體與錐體成效之研究. 國立屏東師範學院數理教育研究所碩士論文
蘇怡如、彭心儀與周倩 (2004). 行動學習之定義與要素.。教學科技與媒體,70,4-14
指導教授 李憶萱(Yi-hsuan Lee) 審核日期 2014-7-29
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明