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By Gihan Ramadan Professor: Susan E. Hiller, Ph.D. GEORGE MASON UNIVERSITY December 9, 2015.

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Presentation on theme: "By Gihan Ramadan Professor: Susan E. Hiller, Ph.D. GEORGE MASON UNIVERSITY December 9, 2015."— Presentation transcript:

1 By Gihan Ramadan Professor: Susan E. Hiller, Ph.D. GEORGE MASON UNIVERSITY December 9, 2015

2 Cognitive Apprenticeship Model Synthesis Graphic Mentoring Teaching through guided learning, outcomes are explicitly observable and transferable in authentic context (Lave & Wenger, 1991).

3 QUESTION 1QUESTION 2  What is the impact of applying the Cognitive Apprenticeship in digital environments in different disciplines?  What is the impact of varying technological approaches on student achievement in a cognitive apprenticeship framework?

4 Comparison Group Math101 Bio101 Econ101 Intervention Group Math101 Online Bio101 Online Econ101 Online n=152n=141 Pre- Test Post- Test SPSS Pre- Test Post- Test SPSS

5 Math101Bio101Econ101 Online Classes via video lessons on Blackboard George Mason University All 6 classes employing Cognitive Apprenticeship Framework Does Technology Impact Achievement? What about across different subject domains? What about if different technology approaches are used? Math101Bio101Econ101 Traditional Classes via Face to Face sessions Pre-test versus Post –Test Achievement Scores

6 Cognitive Apprenticeship Model ScaffoldingCoachingmodelingreflectionarticulationexploration Math101 OnlineBlackboard No social collaboration tools Video lectures Bio101 Online Blackboard Discussion Board Video lectures Chat Rooms Econ101 Online Blackboard Discussion Board Video lectures Chat Rooms No social collaboration tools Discussion board and chat room Different Technological Approaches

7  Pre-test of student’s baseline knowledge and understanding in domain content in all six classes, face to face and online.  Post-test of student’s achievement thru common final exams in all six classes, face to face and online.

8 Research Q #2 To measure the impact of applying the Cognitive Apprenticeship in digital environments in different disciplines final exam achievement scores and subject domains Research Q #2 To measure the impact of applying the Cognitive Apprenticeship in digital environments in different disciplines final exam achievement scores and subject domains  Utilized IBM SPSS Software  Descriptive Statistics  Correlation  2 X 3 ANOVA  Tukey-Kramer Honestly Significant Difference (HSD) test Research Q #1 To measure the impact of applying the Cognitive Apprenticeship in digital environments in different disciplines final exam achievement scores and subject domains Research Q #1 To measure the impact of applying the Cognitive Apprenticeship in digital environments in different disciplines final exam achievement scores and subject domains  Utilized IBM SPSS Software  Descriptive Statistics  Correlation  2 X 3 ANOVA  Tukey-Kramer Honestly Significant Difference (HSD) test

9 LIMITATIONS IMPLICATIONS  Quasi-experimental design - the groups may not be necessarily the same before any instruction  Extraneous variables may impact findings.  A student with readiness for self- directed learning may be prepared for a web-based learning environment,  Another limitation to the study is that electronic learning medium, different results given a different topics.  Another limitation is the debated challenges in research to the practical implementation of the cognitive apprenticeship model  Finally, cognitive apprenticeship incorporates developed learning and the expertise of mentors and this may not be available.  Future research on the ways in which diverse technologies collaborate and integrate to support learner participation.  Different technologies combined in future studies,.  More research on the means of engaging learners while utilizing earlier learning and makes their reasoning visible.  Research with respect to teaching in digital environments across disciplines.  Plainly, more research to see how cognitive apprenticeships can be utilized to upgrade the way teaching and learning by means of enhanced technology

10 Bouta, H., & Paraskeva, F. (2013). The cognitive apprenticeship theory for the teaching of mathematics in an online 3D virtual environment. International Journal of Mathematical Education in Science and Technology, 44(2), 159–178. DOI: 10.1080/0020739X.2012.703334. Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the craft of reading, writing, and mathematics. In L. B. Resnick (Ed.), In honor of Robert Glaser (pp. 453–494). Hillsdale, NJ: Lawrence Erlbaum Associates. Dabbagh, N., & Bannan-Ritland, B. (2005). Online learning: Concepts, strategies, and application. Prentice Hall. Dennen, V. P. (2003). Cognitive apprenticeship in educational practice: Research on scaffolding, modeling, mentoring, and coaching as instructional strategies. In DH Jonassen (Ed.), Handbook of Research on Educational Communications and Technology. Mahwah, NJ: Lawrence Erlbaum, Inc. Ghefaili, A. (2003). Cognitive apprenticeship, technology, and the contextualization of learning environments. Journal of Educational Computing, Design & Online Learning, 4(1), 1–27. Kopcha, T. J., & Alger, C. (2014). Student teacher communication and performance during a clinical experience supported by a technology-enhanced cognitive apprenticeship. Computers & Education, 72, 48–58. Kuo, F. R., Hwang, G. J., Chen, S. C., & Chen, S. Y. (2012). A Cognitive Apprenticeship Approach to Facilitating Web-based Collaborative Problem Solving. Educational Technology & Society, 15(4), 319–331. Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge, MA: Cambridge university press. Lee, Y. J. (2011). Empowering teachers to create educational software: A constructivist approach utilizing Etoys, pair programming and cognitive apprenticeship. Computers & Education, 56(2), 527–538. Saadati, F., Tarmizi, R. A., Ayub, A. F. M., & Bakar, K. A. (2015). Effect of Internet-Based Cognitive Apprenticeship Model (i-CAM) on Statistics Learning among Postgraduate Students. PloS one, 10(7), e0129938. Wu, P. H., Hwang, G. J., Su, L. H., & Huang, Y. M. (2012). A context-aware mobile learning system for supporting cognitive apprenticeships in nursing skills training. Journal of Educational Technology & Society, 15(1), 223-236. Scott, A. What do employers really want from college grads? Marketplace.org. March 2013. Retrieved November 29, 2015. http://www.marketplace.org/2013/03/01/education/what-do-employers-really-want-college-grads. Marketplace is produced and distributed by American Public Media (APM), in association with the University of Southern California.


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