1

References

Abdul Rahim Hamdan., Mohd Najib Ghafar., & Lily Ting Hwa Li. (2010).

Teaching Competency Testing among Malaysian School Teachers, European

Journal of Social Sciences , 12, (4).

Abdullah Topcu., & Ubuz, B. (2008). The Effects of Metacognitive Knowledge on

the B.Ed trainees’ Participation in the Asynchronous Online Forum. Educational

Technology & Society, 11 (3), 1-12.

Adrienne Kozan Naumescu. (2008). Science teacher competencies in a knowledge

based society. Acta Didactica Napochnsia, 1(1).

Agiuseppe Chiazzese., Simona Ottaviano., Gianluca Merlo., Antonella Chifari.,

Mario Allegra., Luciano Seta., & Giovanni Todaro.(2006). Metacognition in Web-

Based Learning Activities, Springer, 290 – 298.

Altunoglu, B. D., & Atav, E. (2005). Teacher expectations for more efficient

biology instruction. Hacettepe University Journal of Education, 28, 19-28.

American Association for the Advancement of Science. (1993).Benchmark for

Science Literacy. New York: Oxford University Press.

Amutha, S., & Ramganesh, E. (2010). Application of Metacognition in the

Instructional Design and e-content development, e-Resources in Higher education

, International Conference Proceedings, Department of Educational Technology,

Bharathidasan University, Tiruchirappalli. 121-124.

Anderson, J. R., & Schunn, C. D. (2000). Implications of the ACT-R learning

theory: No magic bullets. In R. Glaser (Ed), Advances in instructional

2

psychology: Educational design and cognitive science, 5. 1-33. Mahwah, NJ:

Lawrence Erlbaum Associates.

Anne Graham., & Renata Phelps (2003). ‘Being a teacher’: developing teacher

identity and enhancing practice through Metacognitive and Reflective learning

processes, Australian Journal of Teacher Education, 27( 2).1-14.

Anne Graham., Renata Phelps., Berenice Kerr., & Andrew Burgess. (2003).

Investigation of the effect of a Metacognitive and Reflective approach to the

Professional development of teachers in information and communication

technology (ICT). School of Education, Southern Cross University. Unpublished

Report.

Anne K. Morris. (2006). Assessing B.Ed trainees’ skills for analyzing teaching,

Journal of Mathematics Teacher Education, 9,471–505.

Arzu Tasdelen Karçkay., & Seyda Sanha. (2009). The effect of micro teaching

application on the pre-service teachers’teacher competency levels. Procedia Social

and Behavioral Sciences ,1 ,844–847.

Ashburn, E.A. (1987). Three crucial issues concerning the preparation of teachers

for our classrooms : Definition, development, and determination of competence .

Office of Educational Research and Improvement (ED), Washington, D.C.

Atkinson, R. K. (2002). Optimizing learning from examples using animated

pedagogical Hillsdale, agents. Journal of Educational Psychology, 94, 416–427.

Australian National Science Standard Committee (2002) National professional

standards for highly accomplished teachers of science. Canberra, Australia:

ASTA.

3

Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York:

Holt, Rinehard & Winston.

Azevedo, R. (2009). Theoretical, conceptual, methodological, and instructional

issues in research on Metacognition and self-regulated learning: A discussion.

Metacognition and Learning, 4 (1), 87–95.

Azevedo, R., & Hadwin, A.F. (2005). Scaffolding self-regulated learning and

metacognition: Implications for the design of computer-based scaffolds.

Instructional Science (Special Issue on Scaffolding Self-Regulated Learning and

Metacognition: Implications for the Design of Computer-Based Scaffolds), 33,

367-379.

Baird, J.R. (1986). Improving learning through enhanced metacognition: A

classroom study. European Journal of Science Education, 8, 263-282.

Baird, J.R., & White, R.T. (1996). Metacognitive strategies in the classroom. In

D.F. Treagust, R. Duit, & B.J. Fraser (Eds.), Improving teaching and learning in

science and mathematics (pp. 190- 200). New York: Teachers College Press.

Baker,E.L.(1973). The Technology of Instructional development. In

R.M.W.Travers (Ed.), Second handbook of research on teaching, Chicago, Rand

McNally.

Balakrishnan Muniandy, B., Fong, S.F., & Mohamad, R. (2008). Pre Service

Teachers Authoring Multimedia: A Project-Based Learning Approach. In J. Luca

& E. Weippl (Eds.), Proceedings of World Conference on Educational

Multimedia, Hypermedia and Telecommunications, 3853-3857,Chesapeake, VA:

AACE.

4

Balakrishnan Muniandy.,Tan Poay Phing., & Rasslene Rass Rasalingam. (2009).

Information and Communication Technology (ICT) Training Curriculum for Pre

Service Teachers in Malaysian Public Universities: Challenges in Preparing Next

Generation of Teachers. CITM Research Monograph, University of Sains,

Malaysia.

Barak, M., & Dori, Y. J. (2005). Enhancing undergraduate students’ chemistry

understanding through project-based learning in an IT environment. Science

Education, 89(1), 117-139.

Barak Miri., & Ben-Chaim David., & Zoller Uri. (2007). Purposely Teaching for

the Promotion of Higher-order Thinking Skills: A Case of Critical Thinking,

Research in science Education, 37(4), 353–369.

Beeth, M.E.(1998). Teaching for conceptual change: Using status as a

metacognitive tool. Science Education, 82, 343-356.

Black, M. (1962). Models and Metaphors ,Ithaca, NY: Cornell University Press.

Black, P.,& Wiliam, D. (1998). Assessment and classroom learning. Assessment in

Education, 5 (1), 7-74.

Blank, L.M. (2000). A metacognitive learning cycle: A better warranty for student

understanding? Science Education, 84(4), 486-516.

Bliss, J. Monk, M., & Ogborn, J. (1983). Qualitative Data Analysis for

Educational Research Groom Helm, London.

Bodner, G. M. (1986). Constructivism: A Theory of Knowledge, Journal of

Chemical Education, 63(10), 873-878.

5

Borkowski, J., Carr, M., & Pressely, M. (1987). Spontaneous strategy use:

Perspectives from metacognitive theory. Intelligence, 11, 61-75.

Bowsher, J.E. (1989). Educating America: Lessons learned in the nation’s

corporations. New York: Wiley.

Bracha Kramarski., & Tova Michalsky. (2007). Preparing B.Ed trainees for

Professional Education Within a Metacognitive Computer-Based Learning

environment. Springer. 93-100.

Brenda Capobianco., & James Lehman.( 2004). Using Technology to Promote

Inquiry in Elementary Science Teacher Education: A Case Study of One Teacher

Educator's Initiatives. In R. Ferdig et al. (Eds.), Proceedings of Society for

Information Technology & Teacher Education International Conference, 4625-

4630. Chesapeake, VA: AACE.

Brown, A. L. (1987). Metacognition, executive control, self-regulation, and other

more mysterious mechanisms. In F. E. Weinert & R. H. Kluwe (Eds.),

Metacognition, motivation, and understanding 65-116. Hillsdale, New Jersey:

Lawrence Erlbaum Associates.

Brown, P. L., & Abell, S. K. (2007). Cultural diversity in the science classroom.

Science and Children, 44 (9), 60-61.

Brown, A., & Palincsar, A. (1989). Guided, cooperative learning and individual

knowledge acquisition. In Resnick, L., ed., Knowing, learning, and instruction:

Essays in honor of Robert Glaser. Hillsdale, NJ: Lawrence Erlbaum Associates.

393– 451.

Brown, N. (1980). Meta-cognitive development and reading., In: Theoretical

issues in reading comprehension: perspectives from cognitive psychology,

6

linguistics, artificial intelligence, and education, edited by Rand J. Spiro, Bertram

C. Bruce, & William F. Brewer. 453-481, Hillsdale, NJ: L. Erlbaum Associates,

1980.

Bruce Weil. (1978), Information Processing Models of Teaching, Prentice Hall,

Inc, Engle woods Cliffs, New Jersey.

Bruner, J. (1960). The Process of Education. Cambridge, MA: Harvard University

Press.

Bruner, J. (1966). Toward a theory of instruction. Cambridge Mass: Harvard

University Press.

Bruner, J. (1973). Going Beyond the Information Given, New York: Norton.

Butler, D. L., & Winne, P. H. (1995). 'Feedback and self-regulated learning: A

theoretical synthesis.' Review of Educational Research, 65, 245-281.

Campbell, D.,& Stanley, J. (1963). Experimental and quasi-experimental designs

for research. Chicago, IL: Rand-McNally.

Carin, A.A., Sund, R.B. (1989). How can you improve your questioning and

answering skills? In Teaching Science Through Discovery. pp 152-173 ,6th ed.

Columbus (OH): Merrill Publishing Company.

Carr, A.A., Jonassen, D.H., Litzinger, M.E., & Marra, R. M. (1998). Good Ideas

to Foment Educational Revolution: The Role of Systemic Change in Advancing

Situated Learning, Constructivism and Feminist Pedagogy . Educational

Technology, 5-15.

7

Carroll, J.M., & Olson, J.R. (1988). Mental models in human-computer

interaction. In M.Helander (Ed.), Handbook of Human-Computer Interaction.

Amsterdam: Elsevier.

Catherine McLoughlin., & Rowan W. Hollingworth.,(2001).Developing science

students' metacognitive problem solving skills online, Australian Journal of

Educational Technology , 17(1), 50-63.

Charalambos Vrasidas., Marina S. McIsaac. (2001). Integrating Technology in

Teaching and Teacher Education: Implications for Policy and Curriculum Reform

paper presented in the ICEM-CIME Geneva Conference Technology in Teacher

Education, Education Media International, 127-13.

Charlene D'Avanzo (2003).Application of research on learning to college teaching:

Ecological examples, Bioscience. Washington. 53(11), 1121.

Chi, Hyun Jung, (2010). Development and examination of a model of Science

Teacher Identity, Doctoral Thesis submitted to The Ohio State University.

Clark, D., Smith, R., Newby, T., & Cook, V. (1985). ‘Origins of teacher

behaviours’. Journal of Teacher Education, 36 (6), 49-54.

Coburn, A. (2000). Constructivism: Science education’s grand unifying theory.

The Clearing House 74 , 9–12.

Corno, L. (1994). Student volition and education: Outcomes, influences, and

practices. In B J. Zimmerman & D. H. Schunk (Eds.), Self-regulation of learning

and performance (pp. 229-254). Hillsdale, NJ: Lawrence Erlbaum Associates.

Coutinho Clara, P. (2007). Infusing technology in pre service teacher education

programs in Portugal: an experience with weblogs. In R. Craslen et al

8

(Eds.).Proceedings of the 18th International Conference of the Society for

Information Technology & Teacher Education, SITE 2007.

Cowie, B., & Bell, B. (1999). A model of formative assessment in science

education, Assessment in Education, 6, 101-116.

Curtis L. Broderick. (2001).What is Instructional Design?. Retrieved from

http://www.oocities.com/ok_bcurt/whatisID.htm.

Dachao Li., & Ping Li, (2003) A Maximized Hypothesis in the Framework of Scientific

Cognition as Model-Based Reasoning. Retrieved from

http://csjarchive.cogsci.rpi.edu/proceedings/2005/docs/p2513.pdf

Darling-Hammond, L.(1996). Teaching for High Standards: What Policymakers Need

to Know and Be Able to Do. Philadelphia, PA: Consortium for Policy Research in

Education, University of Pennsylvania, co-published with the National

Commission on Teaching and America's Future, 1998.

David Devraj Kumar., & Robert D. Sherwood. (2007). Effect of a Problem Based

Simulation on the Conceptual Understanding of Undergraduate Science Education

Students. Journal of Science Education and Technology, 16, (3).

David A. Huffaker., & Sandra l. Calvert. (2003). The New Science of Learning:

Active learning, Metacognition, and Transfer of knowledge in E-learning

applications. Journal of Educational Computing Research, 29(3), 325-334.

Demetriou, A., & Panaoura, A.(2006). Mathematics in the Mind: Architecture,

Development and Educational Implication, in F. Dochy, L. Vershcaffel, M.

Boekaerts & S. Vosniadou (eds.), Instructional Psychology: Past, Present and

Future Trends: Sixteen Essays in Honor of Erik De Corte, Elsevier, pp.19-37.

9

Denis Goodrum., & Leonie J. Rennie.(2007). Australian School Science Education

National Action Plan, Volume 2.

Dennis J. Rose., & John Church R. (1998) Learning to Teach: The Acquisition and

Maintenance of Teaching Skills, Journal of Behavioral Education, 8(1), 5-35.

Dhindsa H. S., & O. R. Anderson. (2004). Using a Conceptual-Change Approach

to Help Pre-service Science Teachers Reorganize Their Knowledge Structures for

Constructivist Teaching. Journal of Science Teacher Education, 15(1).

Di Sessa, A. A. (1986). Models of Computation. User Centered System Design. D.

A. Norman and S. W. Draper. Hillsdale NJ, Lawrence Erlbaum Associates.

Dick, W. (1987). A history of instructional design and its impact on educational

psychology. In J. Glover & R. Roning (Eds.), Historical foundations of

educational psychology. New York: Plenum.

Dirkes, M. A. (1985). Metacognition: Students in charge of their thinking. Roeper

Review, 8(2), 96-100.

Donald Norman, A. (1988). How goes cognitive science? Journal of Artificial

Intelligence (Japan). 3(2).

Donovan, M. S., Bransford, J. D., & Pellegrino, J. W. (Eds.). (1999). How people

learn: Bridging research and practice. National Academy: Washington DC.

Donovan, S., & Bransford, J. D. (2005). How Students Learn: History,

Mathematics, and Science in the Classroom: National Academies Press.

Dunning, D., Johnson, K., Ehrlinger, J., & Kruger, J. (2003). Why people fail to

recognize their own incompetence. Current Directions in Psychological Science,

12(3), 83-87.

10

Dunslosky, J., & Thiede, K. W. (1998). What makes people study more? An

evaluation of factors that affect self-paced study. Acta Psychologica, 98, 37-56.

Duschl, R.A., Schweingruber H.A., & Shouse. A.W. (2007). Taking science to

school: Learning and teaching science in grades K–8. Washington, DC: National

Academies Press.

Earle, R. S. (2002). The Integration of Instructional Technology into public

education: Promises and challenges. Educational Technology, 42 (1), 5-13.

Edmund Short, C. (1985). The Concept of competence: Its use and misuse in

education . Journal of Teacher Education, 36(2), 2-6.

Edmundson, P. (1990). ‘A normative look at the curriculum in teacher education’.

Phi del. Kap, 71 (9), 717-22.

Elizabeth Murphy, (2008). A framework for identifying and promoting

metacognitive knowledge and control in online discussants, Canadian Journal of

Learning and Technology, 34(2), printemps.

Emily Hixon., & So, Hyo.Jeong. (2009). Technology's Role in Field Experiences

for Pre-service Teacher Training. Educational Technology & Society, 12 (4), 294–

304.

Ertmer, P. A., & Newby, T. J. (1996). The expert learner: Strategic, self-regulated

and reflective, Instructional Science, 24, 1-24.

Esen Uzuntiryaki., Yezdan Boz., Demet Kirbulut., & Oktay Bektas. (2010). Do

Pre-service Chemistry Teachers Reflect their Beliefs about Constructivism in their

Teaching Practices? Research Science Education. 40,403–424.

11

Esin Atav., & Bahattin Deniz Altunoglu. (2009). Perception of pre-service

teachers about their competence in biology Applications, Procedia Social and

Behavioral Sciences, 1, 1278–1284.

Eunjoo Oh., & Russell French.(2002).Pre-service Teachers’ Perceptions of an

Introductory Instructional Technology Course, Electronic Journal for the

Integration of Technology in education. Retrieved from

http://ejite.isu.edu/Volume3No1/Oh.htm.

Eunjoo Oh., & Russell French. (2004).Pre-service Teachers’ Perceptions of an

Introductory Instructional Technology Course, Electronic journal for the

Integration of Technology in Education. Retrieved from

http://ejite.isu.edu/Volume3No1/Oh.htm.

Fei Yin Lo., & Benny Hin Wai Yung. (2010). Teachers’ affective learning in

teacher development activities using classroom videos as the mediating artifact. In

M. F. Tasar & G. Cakmakci (Ed.) Contemporary Science Education Research :

Pre-service and In-service Teacher Education, 341, 350, Ankara, Turkey.

Feiman-Nemser, S., & Buchmann, M. (1985). ‘Pitfalls of experience in teacher

preparation’. Teachers College Record, 87, 53-65.

Flavell, J.H. (1976). Metacognitive aspects of problem solving. In L.B. Resnick

(Ed.), The nature of intelligence (pp. 231-235). Hillsdale, NJ: Lawrence Erlbaum

Associates.

Flavell, J.H. (1987). Speculation about the nature and development of

metacognition. In F.E. Weinert & R.H. Kluwe (Eds.), Metacognition, motivation,

and understanding (pp. 21-29). London: Lawrence Erlbaum Associates.

12

Gagne, R. M. (1962). Military training and principles of learning. American

Psychologist, 69 (4), 355–365.

Gagne, R. M. (1965). The conditions of learning. New York: Holt, Rinehart and

Winston.

Gagne, R. M. (1977). The conditions of learning, 3rd edition. New York: Holt,

Rinehart and Winston.

Gagne, R.M. (1985). The conditions of learning (4th ed.). New York: Holt,

Rinehart and Winston.

Gagne, R., Briggs, L. & Wager, W. (1992). Principles of Instructional Design (4th

Ed.). Fort Worth, TX: HBJ College Publishers.

Gagne, R., Wager, W, Golas, K., & Keller, J. (2005). Principles of Instructional

Design (5th ed.) Belmont, CA: Wadsworth/Thomson Learning.

Garner, R., & Alexander, P. (1989). Metacognition: Answered and unanswered

questions. Educational Psychologist, 24, 143-158.

Gay, G. R. (1999). Learning to Learn: Thinking and Learning Skills. Retrieved

from http://snow.utoronto.ca/Learn2/introll.html.

Georghiades, P. (2004). From the general to the situated: Three decades of

Metacognition. International Journal of Science Education, 26, 365–383.

Gertrude Hennessey, M.G. (2003). Metacognitive aspects of students' reflective

discourse: Implications for intentional conceptual change teaching and learning. In

G. M. Sinatra, & P. R. Pintrich (Eds.), Intentional conceptual change (pp. 103-

132). Mahwah, NJ: Erlbaum.

13

Gibbons, P. (2008). It was taught good and I learned a lot intellectual practices

and ESL learners in the middle years. Australian Journal of Language and

Literacy, 31 (2), 155-173.

Giere, R. (1991). Understanding Scientific Reasoning ,Orlando, FL: Holt,

Rinehart, and Winston, Inc.

Gilbert, J. (1993). The role of models and modelling in science education.

Presented at the 1993 Annual Conference of the National Association for Research

in Science Teaching, Atlanta, GA, USA.

Gilbert, J. (1995). The role of models and modeling in some narratives in science

learning. Presented at the Annual Meeting of the American Educational Research

Association, April 18-22. San Francisco, CA, USA.

Gilbert, J., & Boulter, C. (1998). Learning science through models and modelling.

In B. Fraser and K. Tobin (eds), International Handbook of Science Education

(Netherlands: Kluwer), 52-66.

Gilbert, S. (1991).Model building and a definition of science. Journal of Research

in Science Teaching, 28(1), 73-79.

Gilbert. N.(2000). Models, Processes and Algorithms: Towards a Simulation

Toolkit. In Suleiman R, Troitzsch KG and Gilbert N (Eds.), Tools and Techniques

for Social Science Simulation. Heidelberg: Physica-Verlag.

Goodrum, D., Hackling, M. & Rennie, L. (2000). Science teaching and learning in

Australian schools. Paper Presented at the Australasian Science Education

Research Association Conference, June 29-1 July, Perth WA.

14

Grabowski, B. J. (2004). Generative learning contributions to the design of

instruction and learning. In D. J. Jonassen (Ed.), Handbook of Educational

Communications and Technology (2nd ed., pp. 719–743). Hillsdale, NJ: Lawrence

Erlbaum Associates, Publishers.

Graesser, A. C., McNamara, D.S., & Van Lehn, K. (2005). Scaffolding deep

comprehension strategies through Point&Query, AutoTutor and iSTART.

Educational Psychologist. 40 (4). 225-234.

Graham, B. (2006). Conditions for successful field experiences: perceptions of

cooperating teacher. Teaching and Teacher Education, 22 (8), 1118-1129.

Gray, D. S., & Bryce, T. G. K. (2006). Socio-scientific issues in science education:

Implications for the professional development of teachers. Cambridge Journal of

Education, 36, 171–192.

Gregory Schraw. (2008). A conceptual analysis of five measures of Metacognitive

monitoring. Springer Science. 4, 33–45.

Gregory Schraw., Kent J. Crippen., & Kendall Hartley. (2006). Promoting Self-

Regulation in Science Education: Metacognition as Part of a Broader Perspective

on Learning, Research in Science Education, 36, 111–139.

Gunstone, R. F. (1994). The importance of specific science content in the

enhancement of metacognition. In P. Fensham, R. Gunstone, & R. White (Eds.),

The content of science,131–146. London: Falmer.

Gunstone, R. F. (1999). Content knowledge, reflection and their intertwining: A

response to the paper set. Science Education, 83 (3), 393-396.

15

Hacker, J.D., Bol, L., Horgan, D.D., & Rakow, E.A. (2000). Test prediction and

performance in a classroom context. Journal of Educational Psychology, 92 (1),

160- 170.

Hacker,D.J.,Dunlosky,J.,& Graesser,A.C.(1998).Metacognition in Educational

theory and practice. New Jersey: Lawrence Erlbaum Associates.

Hairul Nizam Ismail .,Suhail Mahmoud Al-Zoubi., Majdoleen Bani Abdel

Rahman., & Ahmad Mohammad Al-Shabatat. (2009). Competence Based Teacher

Education (CBTE): A Training Module for Improving Knowledge Competencies

for Resource Room Teachers in Jordan. European Journal of Social Sciences,

(10), 166-178.

Handal, G.A., Leiner, M.A., González, C. & Rogel, E. (1999). Animation and

storytelling as means to enhance and stimulate the learning of Chemistry in the

classroom environment. In B. Collis & R. Oliver (Eds.), Proceedings of World

Conference on Educational Multimedia, Hypermedia and Telecommunications,

1656. Chesapeake, VA: AACE.

Harpaz, Y. (2003). Approaches to Teaching Thinking: Towards a Conceptual

Mapping of the Field. Mandel Leadership Institute Retrieved from

http://www.learningtolearn.sa.edu.au/Colleagues/pages/default/harpaz/. Last.

Hartman, H. J. (2001). Metacognition in learning and instruction: Theory,

research, and practice. Neuropsychology and Cognition, Dordrecht: Kluwer

Academic Publishers.

Heinich, R., Molenda, M., Russell, J. D., & Smaldino, S. (2002). Instructional

media and technologies for learning, 7th ed. Columbus: Merrill/Prentice Hall.

16

Helen Ngozi ibe. (2009). Metacognitive Strategies on Classroom Participation and

Student Achievement in Senior Secondary School Science Classrooms. Science

Education International, 20 (1), 25-31.

Hennessey, M.G. (1999). Probing the dimensions of metacognition: Implications

for conceptual change teaching-learning. Paper presented at annual meeting of

Association for Research in Science Teaching, Boston, MA.

Hewson, P. (2007). Teacher professional development in science. In S. Abell & N.

Lederman (Eds.), Handbook of research on science education (pp. 1179–1203).

Mahwah, NJ: Erlbaum.

Hillway, T.(1964). Introduction to Research. Second Edition. Boston: Houghton

Mifflin.

Hmelo-Silver, C. E., & Azevedo, R. (2006). Understanding complex systems:

Some core challenges. Journal of the Learning Sciences, 15(1), 53-61.

Hodgson, T. (1995). Secondary mathematics modeling: Issues and challenges.

School Science and Mathematics, 95(7), 351–358.

Hoffman, B., & Ritchie, D.C. (1998). Teaching and learning online: Tools,

templates, and training. In: J. Willis, D. Willis, & J. Price (Eds.), Technology and

teacher education annual. Charlottesville, VA: Association for Advancement of

Computing in Education.

Hollingworth, R., & McLoughlin, C. (2001). Developing science students’

metacognitive problem-solving skills online. Australian Journal of Educational

Technology, 17(1), 50-63.

17

Horwitz, P., & Barowy, W. (1994). Designing and Using Open- Ended Software

to Promote Conceptual Change, Journal of Science Education and Technology, 3,

3.

Huann-shyang Lin., & Houn-Lin Chiu. (2000). Using Computers to Support a

Beginning Teacher’s Professional Development, Journal of Science Education

and Technology, 9,(4),367-373.

Hurd, P. D. (1986). Perspectives for the reform of science education. Phi Delta

Kappan , 67, 353-358.

Jacobs, J.E., & Paris, S.G. (1987). Children’s metacognition about reading: Issues

in definition, measurement and instruction. Educational Psychologist, 22, 255-

278.

James Bower.(1994). Scientists and science education reform: myths, methods,

and madness. National Academy of Science's Resources for Involving Scientists in

Education. Retrieved from http://www.nas.edu/rise/backg2a.htm.

Jane Howland., & Judy Wedman.(2004). A Process Model for Faculty

Development: Individualizing Technology Learning, Journal of Technology and

Teacher Education, 12, Retrieved from http://www.questia.com/googleScholar.

Johannes Cronje.(2006). Educational Technology Research and Development.

Washington: 54(4), 387-417.

John K. Gilbert. (2004).Visualization: A metacognitive skill in science and science

education, Institute of Education, The University of Reading, UK.

18

Jonathan Singer A., & Michelle A. Maher. (2007). B.Ed trainees and Technology

Integration: Rethinking Traditional Roles. Journal of Science Teacher Education,

18,955-984.

Josefina Santana.(2005). Moving towards Metacognition. Retrieved from

http://www.readingmatrix.com/conference/pp/proceedings2005/santana.pdf.

Judy Somers, L. (2009). Using concept maps to explore pre-service teachers'

perceptions of science content knowledge, teaching practices, and reflective

processes, Doctoral Thesis submitted to Florida Atlantic University.

Jurich, S. (2008). Video Technology for Teacher Training: Micro-Teaching and

other adventures. At http://www.techknowlogia.org/tkl_active_pages2.

Kasinath. H.M. (2008). The Information processing approach to knowledge,

Experiments in Education, 36 (11), 239-244.

Keogh, B., & Naylor, S. (1999). Science on the Underground: an initial

evaluation. Public Understanding of Science, 8, 1-18.

King, A. & Rosenshine, B. (1993). Effects of guided cooperative-questioning on

children's knowledge construction. Journal of Experimental Education, 6, 127-

148.

Koehler, V. (1988). Barriers to effective supervision of student teaching: A field

study. Journal of Teacher Education, 39 (2), 28-34.

Korthagen, E., Loughran, J., & Russell, T. (2006). ‘Developing fundamental

principles for teacher education programs and practices’. Teaching and Teacher

Education, 22, 1020–1041.

19

Koseoglu & Soran. (2004). Views on the competence of biology teachers in using

material and tool, Hacettepe University Journal of Education, 27 ,189–195.

Kozma, R., Chin, E., Russell, J., & Marx, N. (2000). The roles of representations

and tools in the chemistry laboratory and their implications for chemistry learning.

Journal of the Learning Sciences, 9(2), 105-143.

Kpanja, E. (2001). A study of the effects of video tape recording in microteaching

training. Journal of Educational Technology. 32(4), 483-486.

Kramarski, B., & Gutman, M. (2006). How can self-regulated learning be

supported in mathematical e-learning environments? Journal of Computer Assisted

Learning, 22, 24-33.

Kramarski, B., & Mizrachi, N. (2006). Online discussion and self-regulated

learning: Effects of instructional methods on mathematical literacy. Journal of

Educational Research, 99(4), 218-230.

Kramarski, B., Mevarech, Z. R., & Arami, M. (2002). The effects of

metacognitive training on solving mathematical authentic tasks. Educational

Studies in Mathematics, 49, 225–250.

Kramarski, B., & Mevarech, Z. R. (2003). Enhancing mathematical reasoning in

the classroom: Effects of cooperative learning and metacognitive training.

American Educational Research Journal, 40(1), 281-310.

Krathwohl,D.(2002). A revision of Bloom’s taxonomy : An overview. Theory into

Practice,41(4),212-218.

Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How differences in

recognizing one's own incompetence lead to inflated self-assessments. Journal of

Personality and Social Psychology,.77(6), 1121-1134.

20

Kuhn, D. (1999). A Developmental model of critical thinking. Educational

Research, 28, 16–26.

Kuhn, D. (2000). Metacognitive development. Current Directions in

Psychological Science, 9, 178–181.

Kulik, J. A. (2002). School mathematics and science programs benefit from

instructional Technology. Washington DC: National Science Foundation

Directorate of Social Behavior and Economic Science.

Lambert, L. & Walker, D., (1995). Learning and leading theory: A century in the

making. In L Lambert, D. Walker, D. P. Zimmerman, J. E. Cooper, M. D.

Lambert, M. E. Gardner, & P. J. Ford Slack, The constructivist leader , 1-27. New

York, NY: Teachers College Press, Columbia University.

Land, S. & Greene, B. (2000). Project-based learning with the World Wide Web:

A qualitative study of resource integration. Educational Technology Research

Development, 48(3), 61–78.

Larkin, S. (2006). Collaborative group work and individual development of

metacognition in the early years. Research in Science Education, 36, 7-27.

Lemma, P. (1993). ‘The cooperating teacher as supervisor: a case study’. Journal

of curriculum and supervision, 8, 329-342.

Leou,M., Abder Pamela., Megan Riordan., & Uri Zoller (2006) Using ‘HOCS-

Centered Learning’ as a Pathway to Promote Science Teachers’ Metacognitive

Development, Research in Science Education, 36, 69–84.

21

Lin, X. (2001). Designing metacognitive activities. Educational Technology

Research and Development, 49(2), 23-40.

Lindsey Corner. (2004). Assessing learning about social and ethical issues in a

biology class, School Science Review, 86 (315).

Ling L. Liang., & Greer M. Richardson. (2009). Enhancing prospective teachers'

science teaching efficacy beliefs through scaffolded, student-directed inquiry,

Journal of Elementary Science Education, 21( 1) , 51-66.

Linn, M. C. (1992). Science education reform: Building on the research base.

Journal of Research in Science Teaching, 29, 821–840.

Linn, M. C., & Muilenberg, L. (1996). Creating Lifelong Science Learners: What

Models Form a Firm Foundation? Educational Researcher, 25(5), 18-24.

Loucks-Horsley, S., Love, N., Stiles, K.E., Mundry, S., & Hewson, P.W. (2003).

Designing professional development for teachers of science and mathematics

education (2nd ed.). Thousand Oaks, CA.: Corwin.

Lynch, M. (1985). Discipline and the material form of images. An analysis of

scientific visibility. Social Studies of Science, 15, 37-66.

Maor. (2000). A Teacher Professional development program on using a

constructivist multimedia learning environment, 307–330, Kluwer Academic

Publishers. Netherlands.

Maricar S. Prudente., & Socorro E. Aguja. (2002). Science Teaching/Learning

Processes in Pre-service Teacher Education: The De La Salle University-Manila

Experience. Retrived from

http://www.hiceducation.org/edu_proceedings/Maricar%20S.%20Prudente.pdf

22

Markus Wilhelm.,Dorothee Brovelli.,Markus Rehm., & Alexander

Kauertz.(2010). Professional identity and competence in science teaching among

student teachers, In M.F. Taşar & G. Çakmakcı (Eds.), Contemporary science

education research: pre-service and in-service teacher education (pp. 9-15).

Ankara, Turkey: Pegem Akademi.

Mason, R. (2002). Rethinking assessment in the online environment , in Vrasidas,

C. and Glass, G. (Eds), Current Perspectives in Applied Information

Technologies: Distance Education and Distributed Learning, Information Age

Publishing, Inc., Greenwich, CT, 57-74.

Mayer, R. E. (1989). Models for understanding. Review of Educational Research,

59(1), 43–64.

McKinnon, G. R. (2000). The dilemma of evaluating electronic discussion groups.

Journal of Research on Computing in Education. 33(2), 125–132.

McKinnon, G. R. (2000). The dilemma of evaluating electronic discussion groups.

Journal of Research on Computing in Education. 33(2), 125–132.

Mechling, K.R. and Oliver, D.L. (1983). Handbook I: Science teaches basic skills.

Washington, D.C.: National Science Teachers Association.

Merrill, M. D. (1991). Constructivism and Instructional design. Educational

Technology, 45-53.

Michalski, T., Zion, M., & Mevarech, Z. R. (2007). Developing students’

Metacognitive awareness in asynchronous learning networks in comparison to

face-to-face discussion groups. Journal of Educational Computing Research, 36,

421–450.

23

Miller, A. I. (1986). Imagery and scientific thought. Cambridge, MA: MIT press.

Mintzes, J.J., & Wandersee, J.H. (1998). Reform and innovation in science

teaching: A human constructivist view. In J.L. Mintzes, J.H. Wandersee & J.D.

Novak (Eds.), Teaching science for understanding: A human constructivist view

(pp. 29-58). San Diego, CA: Academic.

Mishra, P., & Koehler, M. (2007). Technological Pedagogical Content Knowledge

(TPCK): Confronting the Wicked Problems of Teaching with Technology. In C.

Crawford et al. (Eds.), Proceedings of Society for Information Technology and

Teacher Education International Conference 2007 (pp. 2214-2226). Chesapeake,

VA: AACE.

Miyoung Lee., & Baylor, A. L. (2006). Designing Metacognitive Maps for Web-

Based Learning. Educational Technology and Society, 9 (1), 344-348.

Morgan, R. M. (1989). Instructional systems development in third world countries.

Educational Technology Research and Development, 37, 47-56.

Morrison, G. R., Ross, S. M., Kemp, J. E., & Kalman, H. K. (2007). Designing

effective instruction. (5th Ed). Hoboken, NJ: John Wiley & Sons, Inc.

Moshe Barak., & Larisa Shakhman. (2007). Based Science Teaching: Teachers’

Instructional Practices and Conceptions, Eurasia Journal of Mathematics, Science

& Technology Education, 4(1), 11-20.

Mukerji,S.N.(1958).An Introduction to Indian Education, Acharya Book Depot,

Baroda.

24

Myers, M. (2000). Qualitative research and the generalizability question: Standing

firm with Proteus. The Qualitative Report, 4(3/4). Retrieved from

http://www.nova.edu/ssss/QR/QR4-3/myers.html.

Niess, M. L. (2005). Preparing teachers to teach science and mathematics with

technology: Developing a technology pedagogical content knowledge. Teaching

and Teacher Education, 21, 509-523.

Nemirovsky, R., Kaput J. and Roschelle, J. (1998). Enlarging mathematical

activity from modeling phenomena to generating phenomena. Proceedings of the

22nd International Conference of the Psychology of Mathematics Education,

Stellenbosch.

Nersessian, N. J. (2007). Mental Modeling in Conceptual Change, International

Handbook of Conceptual Change, S. Vosniadou, ed. London: Routledge, 2008,

391-416.

New house. (2002). Instructional Design Australia. Retrieved from

http://instructionaldesign.com.au/.

Nichols, S. E., Tippins, D., & Wieseman, K. (1997). A toolkit for developing

critically reflective science teachers. Research in Science Education, 27(2), 175–

194.

Nicol, D, J., & Macfarlane-Dick. (2006). Formative assessment and self-regulated

learning: A model and seven principles of good feedback practice. Studies in

Higher Education, 31(2), 199-216.

Novak J.D. (1963). A preliminary statement on research in science education,

Journal of Research in Science Teaching, 1, 3–9.

25

Novak, J. D., & Canas, A. J. (2005). A concept map-centered learning

environment. Paper presented at the Symposium at the 11th Biennial Conference

of the European Association for Research in Learning and Instruction (EARLI),

Cyprus.

Nurrullah,S., & Naik,J.P.(1949). A students’ History of Education in India (1800-

1947). McMillan & Co.Ltd., Bombay.

Olagunju,M., & Abiona O. F. (2008). Production and Utilization of Resources in

Biology Education. A Case Study Of South West Nigerian Secondary

Schools,International Journal of African & African American Studies 7, (2).

Omwenga, E.I., Waema, T.M., Eisendrath, G.P.C., and Libotton. ( 2005). African

Journal of Science and Technology (AJST), Science and Engineering Series, 6 (1),

45 – 50.

Park, J.H., Faulkner J., & Schaller, M. (2003). Evolved disease-avoidance

processes and contemporary anti-social behavior: prejudicial attitudes and

avoidance of people with physical disabilities. Journal of Nonverbal Behavior, 27,

65–87.

Perkins, D. N. (1986). Knowledge as Design (Hillsdale, NJ: Lawrence Erlbaum

Associates).

Pintrich, P. R. (2000). The role of goal orientation in self-regulated learning. In

M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation

(pp.451-502). San Diego, CA: Academic.

Pintrich, P. R. (2002). The role of metacognitive knowledge in learning, teaching,

and assessing. Theory into Practice, 41(4), 219-225.

26

Preston Prather., Robert L. Hartshorn.,& Nancy J.Walters. (2009).A survey

instrument for qualitative and quantitative examination of hands-on-science

instruction using videotape-jury review techniques, Journal of Elementary Science

Education, 2 (1) 16-29.

Puntambekar, D., & DuBoulay, B. (1997). Design and development of MIST: A

system to help students develop metacognition. Journal of Educational Computing

Research, 16 (1), 1-35.

Puntambekar, S. (1995). Helping students learn ‘how to learn’ from texts:

Towards and ITS for developing metacognition. Instructional Science, 23 (3),

163–182.

Qiyun Wang. (2008). A generic model for guiding the integration of ICT into

teaching and learning, Innovations in Education and Teaching International, 45,

(4), 411-419.

Rajput,J.S.(2000). Science Education in schools. Journal of Indian Education, (4),

1-11.

Ramganesh,E.(2003). Effect of Metacognitive orientation on enhancing Problem

Solving Competency in mathematics among the B.Ed trainees. Doctoral Thesis

submitted to Alagappa University, Karaikudi.

Ramganesh.E.(2009). An Objective Measurement of Self-monitoring strategy on

Problem solving in Mathematics, The Indian Educational Researcher, 3(1),39-50.

Raphael, J. S., Tobias., & Greenberg. R. (1999). Research experience as a

component of science and mathematics teacher preparation. Journal of. Science

Teacher Education ,10 (2),147-158.

27

Reiser, R. A., & W. Dick (1996). Instructional Planning: A guide for teachers.

Boston, Allyn and Bacon.

Renata Phelps., & Anne Graham. (2007). An investigation of the Metacognitive

influences on teachers’ use of information and communication technology (ICT)

and the implications for teacher professional development. Developing

Technology together, together consolidated report, 1-20.

Rickards, J. P. (1979). Adjunct Post questions in Text: A Critical Review of

Methods and Processes. Review of Educational Research , 49, 181-196.

Rickey, D., & Stacy, A. M. (2000). The role of metacognition in learning

chemistry. Journal of Chemical Education, 77(7), 915–919.

Robert B.Miller. (1953). A method for man-machine task analysis (Tech. Rep.

No. 53-137). Wright-Patterson Air Force Base, Ohio: Wright Air Development

Center.

Robert B.Miller. (1962). Analysis and specification of behavior for training. In R.

Glaser (Ed.), Training Research and Education. Pittsburgh: University of

Pittsburgh Press.

Roberts,M.J., & Erdos,G.(1993). Strategy selection and Metacognition.

Educational Psychology, 13, 259-266.

Ronald D. Anderson. (2002). Reforming science teaching: What research says

about inquiry. Journal of Science Teacher Education, 13(1), 1-12.

28

Rosemary C. Reilly., & Gillian Bramwell. (2007).The use of public reflection

circles and the promotion of Metacognition: Teaching for autonomy and good

practice. Journal of Educational Enquiry, 7 (1), 44-63.

Rowe, M. B. (1987). Wait time: Slowing down may be a way of speeding up.

American Educator 11, 38–47.

Sabar, N. (2004). From heaven to reality through crisis: Novice teachers as

migrants. Teaching and Teacher Education, 20, 145–161.

Sabelli, N. H. (2006). Complexity, Technology, Science, and Education. The

Journal of the Learning Sciences, 15(1), 5-9.

Sadiah Baharom. (2009). Enhancing self-regulatory motivational strategies

through e-Portfolios, Retrieved from

http://www.unescobkk.org/fileadmin/user_upload/apeid/Conference/13th_Confere

nce/Papers/5.C.1.Enhancing_Self- Regulatory_ motivational_ Strategies

_through_e- portfolios__Sadiah_Baharom.pdf

Saettler, P.(1990). The evolution of American Educational Technology.

Englewood, CO: Libraries Unlimited.

Sam Carlson., Gadio, C. T., Haddad, W. D., & Draxler, A. (2002). Teacher

professional development in the use of technology. UNESCO and AED. Retrieved

from

http://www.schoolnetafrica.net/fileadmin/resources/Teacher_Professional_Develo

pment_In_the_use_of_Technology.pdf

Sami Sahin. (2006).Computer simulations in Science Education: Implications for

Distance education. Turkish Online Journal of Distance Education, TOJDE

Ankara, Turkey. 12, 7(4), 132-146.

29

Sara McNeil. (2009). Visualizing Mental Models: Understanding Cognitive

Change to Support Teaching and Learning of Multimedia Design and

Development, Retrieved from

http://it.coe.uga.edu/itforum/paper111/McNeil.pdf.

Sara wolf.,Thomas Brush., & John Saye.(2003). The Big Six Information Skills as

a Metacognitive Scaffold: A Case Study. Retrieved from

http://www.ala.org/ala/mgrps/divs/aasl/aaslpubsandjournals/slmrb/slmrcontents/vo

lume62003/bigsixinformation.cfm.

Saravanakumar., & Mohan. (2007). Enhancing Student’s Achievement in Science

through Metacognitive orientation and Attention Activation-An Experimental

Study. Experiments in Education, 35(8).

Savia A. Coutinho. (2006). The Relationship between the Need for Cognition,

Metacognition, and Intellectual Task Performance. Educational Research and

Reviews, 1 (5), 162-164.

Savittree Rochanasmita Arnold., Michael J.Padilla., & Bupphachart Tunhikorn.

(2008). The development of Pre-service science Teachers’ Professional knowledge

in utilizing ICT to support Professional lives, Eurasia Journal of Mathematics,

Science & Technology Education, 5(2),91-101.

Schank, R. C., Berman, T. R., & Macpherson, K. A. (1999). Learning by Doing.

In C. M. Reigeluth (Ed.), Instructional-Design Theories and Models (pp. 160-

181). Mahwah, NJ: Lawrence Erl-baum.

Schraw, G. (2006). Knowledge: Structures and processes. In P., Alexander, P., &

Winne (Eds.), Handbook of educational psychology (pp. 245–263). Mahwah, NJ:

Erlbaum.

30

Schoenfeld, A. H. (1987). What's all the fuss about metacognition? In A. H.

Schoenfeld (Ed.), Cognitive science and mathematics education (pp. 189-215).

Hillsdale, NJ: Lawrence Erlbaum Associates.

Schraw, G. (2006). Knowledge: Structures and processes. In P., Alexander, P., &

Winne (Eds.), Handbook of Educational Psychology (pp. 245–263). Mahwah, NJ:

Erlbaum.

Schraw, G., & Dennison, R. S. (1994). Assessing Metacognitive awareness.

Contemporary Educational Psychology, 19, 460-475.

Schraw, G., Crippen. K.J., & Hartley, K. (2006). Promoting self-regulation in

science education: Metacognition as part of a broader perspective on learning.

Research in Science Education, 36(1–2),111–139.

Schunk, D. H., Zimmerman, B. J. (2008). Motivation: An essential dimension of

self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation

and Self-Regulated Learning: Theory, Research and Applications (pp. 1-30).

Mahwah, NJ: Erlbaum.

Schunk, D.H. (2001). Social cognitive theory and self-regulated learning. In B.J.

Zimmerman & D.H Schunk (Eds.), Self-regulated learning and academic

achievement: Theoretical perspectives (2, pp125-152). Mahwah, NJ: Erlbaum.

Schwartz, B. L., & Perfect, T. J. (2002). Introduction: Toward an applied

metacognition. In T. J. Perfect & B. L. Schwartz (Eds.), Applied metacognition

(pp. 1–11).Cambridge, UK: Cambridge University Press.

31

Selva Ranee Subramaniam. (2009). Metacognition in Teaching, Proceedings of

14th International Conference on Thinking, University of Malaya, Malaysia,

Retrieved from

http://www.furnware.co.nz/Portals/0/Documents/51%20Selva%20Ranee.pdf

Sevgi Turani, O Zean Demirel., & Iskender Sayek. (2009).Metacognitive

awareness and self regulated learning skills of Medical students in different

medical curricula. Medical Teacher, 30(9), 149-158.

Shamsha Emanuel.(2010). Integration of Information Technology in Teaching

Learning Process. Retrieved from

http://www.educationinindia.net/download/Shamsha-emanuel.pdf

Shashi Shukla. (2009). Teaching competency, professional commitment and job

satisfaction, New Delhi. Retrieved from

http://illusion.instablogs.com/entry/teaching-competency-professional-

commitment-and-job-satisfaction.

Shelly, G., Cashman, T. J., Gunter, G. A., & Gunter, R. E. (2006). Teachers

discovering computers: Integrating technology and digital media in the classroom

(4th ed.). Boston: Thomson Course Technology.

Short,E.C.(1985). The concept of competence: Its use and misuse in education.

Journal of Teacher Education, 36(2), 2-6.

Snir, J., & Smith, C. (1995).Constructing Understanding in the Science

Classroom: Integrating Labaroatory Experiments, Student and Computer Models,

and Class Discussion in Learning Scientific Concepts. In Perkins, D., Schwartz, J.,

West, M., and Wiske, S. (Eds.), Software Goes to School, Oxford University

Press, Oxford, 233-254.

32

Sperandeo-Mineo, R.M., Fazio, C. & Tarantino, G. (2005). Pedagogical Content

Knowledge Development and Pre-Service Physics Teacher Education: A Case

Study, Research in Science Education. 36(3), 235-268.

Sperling, R., Howard, L., Miller., & Murphy, C. (2002). Measures of children’s

knowledge and regulation of cognition, Contemporary Educational Psychology,

27, 51-79.

Stake, R. E., & Easley, J. A. (1978). Case Studies in Science Education. Urbana,

IL: Center for Institutional Research and Curriculum Evaluation, University of

Illinois.

Stephen Thomas Garrett. (2009). Professional Development for the Integration of

Biotechnology Education, Dissertation submitted to the Queensland University of

Technology,

Sternberg, R. J. (1984). What should intelligence tests test? Implications of a

triarchic theory of intelligence for intelligence testing. Educational Researcher, 13,

5–15.

Sternberg,R.J.(1986). Intelligence applied.N.Y.:Harcourt Brace Jovanovich,

Publishers. Students with learning disabilities. In: Learning Disability Quarterly.

Retrieved from

http://goliath.ecnext.com/coms2/summary_0199-5060528_ITM

Sternberg, R. (1998).Metacognition, Abilities, and Developing Expertise: What

Makes an Expert Student? Instructional Science, 26, (1), 127-140.

Susan Sunny Cooper., & Penee W. Stewart. (2006). Metacognitive Development

in Professional Educators, Presented at annual convention of the American

Educational Research Association in San Francisco.

33

Tang, S. (2003). Challenge and support: the dynamics of student teachers’

professional learning in the field experience. Teaching and Teacher Education, 19,

483–498.

Taylor, V., Middleton III, R., & Napier, L. (1990). A comparison of perceptions of

the importance of MTh: Competencies between in-service and pre-service

teachers. Paper presented at the Annual Meeting of the Mid-South Education

Research Association, 19th, New Orleans, LA, 14-16.

Thanu Padmanaban.(2010, October 6). Quality Science teachers, The need of the

hour, Education Plus, The Hindu, pp2.

Thomas, G., & McRobbie, C. (2001). Using metaphor for learning to improve

students’ metacognition in the chemistry classroom. Journal of Research in

Science Teaching, 38(2), 222-259.

Thomas J. Dormody., & Robert M. Torres. (2001). Teaching Competencies of

Agricultural Education Program Graduates. New Mexico University. Retrieved

from

http://aaae.okstate.edu/proceedings/2002/NAERC/Teaching%20Comp%20Dormo

dy-Torres.pdf.

Thomas, G. P. (1999). Student restraints to reform: Conceptual change issues in

enhancing students learning processes. Research in Science Education, 19(1), 89–

109.

Thornton, R. K. (1987). Tools for scientific thinking: Microcomputer- based

laboratories for physics teaching. Physics Education, 22(4), 230–238.

34

Tickle, L. (2000). Teacher induction: The way ahead, Buckingham: Open

University Press.

Tisher,R.P.(1987). A decade of research on teacher education in Australia, Paper

presented in a symposium at the annual meeting of the American Educational

Association, Washington.

Tobin, K., & Fraser, B. J. (1990). What does it mean to be an exemplary science

teacher?. Journal of Research in Science Teaching, 27, 3–25.

Topcu, A., & Ubuz, B. (2008). The Effects of Metacognitive Knowledge on the

B.Ed trainees’ Participation in the Asynchronous Online Forum. Educational

Technology & Society, 11 (3), 1-12.

Trainin, G., & Swanson, H. L. (2005). Cognition, metacognition, and achievement

of college Students with learning disabilities. In: Learning Disability Quarterly.

Retrieved from

http://goliath.ecnext.com/coms2/summary_0199-5060528_ITM

Trowbridge, L.W., & Bybee, R.W. (1986). Becoming a Secondary School Science

Teacher. Columbus, Ohio: Merrill.Tsui, A.B.M. (2003). Understanding expertise

in teaching: Case studies of EFL teachers. Cambridge University Press.

Tsui, L. (2003). Reproducing social inequalities through higher education: Critical

thinking as valued capital. The Journal of Negro Education, 72(3), 318‐332.

Tzenz,J.Y., & Schwen,T.(2003). Mental representation-based task analysis for

analyzing value-laden performance. Educational Technology Research and

Development, 51(3),5-23.

35

Ugo Besson., Lidia Borghi., Anna De Ambrosis., & Paolo Mascheretti. (2010). A

model of teacher preparation aimed at favouring the diffusion of research-based

teaching practice, In M.F. Taşar & G. Çakmakcı (Eds.), Contemporary Science

Education research: pre-service and in-service Teacher Education (pp. 101-110).

Ankara, Turkey: Pegem Akademi.

Umadevi.M.R. (2008). Effectiveness of Biological Science Inquiry model on

achievement in biology of secondary school students. Experiments in Education,

36 (7) 233-238.

Vaidya,N.(1999). Science Teaching for the 21st Century, Deep and Deep

publications. New Delhi.

Veenman, M. V. J., Van Hout-Wolters, B. H. A. M., & Afflerbach, P. (2006).

Metacognition and Learning: Conceptual and Methodological Considerations.

Metacognition and Learning, 1, 3–14.

Virgil E. Varvel,. (2006). Online Instructor Competencies, Pointers and Clickers,

7(6).Retrieved from

http://www.ion.uillinois.edu/resources/pointersclickers/2006_11/CompPointer.pdf

Wang, Q.Y., & Woo, H.L. (2007). Systematic planning for ICT integration in

topic learning. Educational Technology and Society, 10 (1), 148-156.

Weinstein, C. E., & Meyer, D. K. (1991). Cognitive learning strategies and college

teaching. New Directions for Teaching and Learning, 45, 15-26.

White, R. T., & Mitchell, I. J. (1994). Metacognition and the quality of learning.

Studies in Science Education, 23(1), 21–37.

36

White, S.(1993). The relationship between psychological Skills, experience, and

practice commitment among collegiate male and female skiers. Sport Psychology.

7, 49-57.

White, R. T. (1998). Decisions and problems in research on metacognition. In B. J.

Fraser & K. G. Tobin (Eds.), International handbook of science education (pp.

1207–1213). New York: Kluwer Academic Publishers.

White, B., Shimoda, T., & Frederiksen, J.(1999). Enabling Students to Construct

Theories of Collaborative Inquiry and Reflective Learning: Computer Support for

Metacognitive Development. International Journal of Artificial Intelligence in

Education, 10(2), 151-182.

William Anthony Sandera. (2001). Conceptual change-based instruction and pre-

service teacher technology preparation: A collective case study, Doctoral

dissertation submitted to Iowa State University, Ames, Iowa.

Wilson, E. (2006). ‘The impact of an alternative model of student teacher

supervision: Views of the participants’. Teaching and Teacher Education, 22, 22–

31.

Windschitl, M. (2002). Inquiry projects in science teacher education: What can

investigative experiences reveal about teacher thinking and eventual classroom

practice? Science Education, 87(1), 112–143.

Winn, W., & Snyder, D. (1996). Cognitive perspectives in psychology. In D.H.

Jonassen (Ed.), Handbook for research for Educational Communications and

Technology, 112-142. New York: Simon & Schuster Macmillan.

37

Winograd, P.& Paris, S. G. (1990). How metacognition can promote academic

learning and instruction. In B. F. Jones & L. Idol (Eds.), Dimensions of thinking

and cognitive instruction (pp. 15-51). Hilldale, HJ: Lawrence Erlbaum Associates.

Wittrock, M. C. (1974). Learning as a generative process. Educational

Psychology. 11, 87-95

Wittrock, M. C. (1990). Generative processes of comprehension. Educational

Psychology. 24, 345-376.

Wittrock M. C. (1991). Generative teaching of comprehension. The Elementary

School Journal, 92(2), 169-184.

Wittrock, M. C. (1992). Generative learning processes of the brain. Educational

Psychology. 27, 531-541.

Yager, R. E. (1993).Science-technology-society as reform. School Science and

Mathematics, 93(3), 145-151.

Yasemin Godek Altuk. (2010). The role of teacher education courses in

developing teachers’ subject matter knowledge and pedagogical content

knowledge, In M.F. Taşar & G. Çakmakc (Eds.), Contemporary science education

research: pre-service and in-service teacher education (pp. 7-21). Ankara,

Turkey: Pegem Akademi.

Yehezkel, C., Ben-Ari, M., & Dreyfus, T. (2005). Computer architecture and

mental models. Proceedings of the SIGCSE,St. Louis, MI,101-105.

Zimmerman, B. J. (1990). Self-regulated learning and academic achievement: An

overview. Educational Psychologist, 25, 3-17.

38

Zimmerman, B.J., & Kitsants, A. (1999). Acquiring writing revision skill: Shifting

from process to outcome self-regulatory goals. Journal of Educational

Psychology, 91(2), 241–250.

Zimmerman, B. J., & Schunk, D. H. (2008). Motivation: An essential dimension

of self-regulated learning. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation

and Self-Regulated Learning: Theory, Research, and Applications (pp. 1-30).

Mahwah, NJ: Erlbaum.

Commissions / Committees

American Association for the Advancement of Science. (1993).Benchmark for

Science Literacy. New York: Oxford University Press.

Australian National Science Standard Committee (2002) National professional

standards for highly accomplished teachers of science. Canberra, Australia:

ASTA.

Education Commission, (1966) Retrieved from

http://www.education.nic.in/cd50years/q/3B/7C/3B7C0701.htm.

Kothari Commission. (1960,1966) retrieved from

http://www.education.nic.in/cd50years/g/t/HB/0THB0J01.htm.

Mudaliar Commission. (1952). Retrieved from

http://www.education.nic.in/cd50years/q/34/3S/343S0201.htm.

National action plan 2008-2012, Retrieved from

http://www.thefreelibrary.com/The+impact+of+AuSSI-

WA+at+a+primary+school-a0219003766.

National Commission on Excellence in Education. (1983). retrieved from

http://www2.ed.gov/pubs/NatAtRisk/appenda.html.

39

National Science Standard Committee/Australian Science Teachers' Association

(ASTA).(2002). National professional standards for highly accomplished teachers

of science. Canberra, Australia.

National Curriculum Framework. (2005). Publication Department, National

Council of Educational Research and Training ,New Delhi.

National Educational Policy. (1992). retrieved from

http://www.education.nic.in/natpol.asp.

National Science Board Commission. (1983). Pre-college Education in

Mathematics, Science and Technology. Educating Americans for the 2lst century.

A report to the American people and the National Science Board. Washington,

D.C., U.S. Government Printing Office.

NCERT.(2000). National Curriculum Framework for school education, NCERT,

New Delhi.

National Research Council. (1996). National Science Education Standards,

Washington,D.C.: National Academy Press.

Secondary Education, 1952. J C Aggarwal, (2007). Landmarks In The History Of

Modern Indian Education,Vikas Publication House Pvt Ltd.

UNESCO. (1993).Final Report: International Forum on Scientific and

Technological literacy for all. Paris.

US National Research Council, (2003). Committee to Review the Scientific

Evidence on the Polygraph Board on Behavioral, Cognitive, and Sensory Sciences

and Committee on National Statistics , Division of Behavioral and Social Sciences

and Education, National Research Council of the National Academies, The

National Academies Press, Washington, D.C.

Woods Education Dispatch, (1854). Retrieved from

http://www.mapsofindia.com/india-education.html.