2.

Learning and Teaching With Technology.

Reading List.

Core reading:

Keith Sawyer (2006) The New Science of Learning, The Cambridge Handbook of the Learning Sciences, Cambridge University Press.

Papert, S. (1993). The children’s machine: rethinking school in the age of the computer. New York: Basic Books.

Pea, R. D (1993) Practices of distributed intelligence and designs for education in “Learning in doing: Social, cognitive, and computational perspectives”,  Cambridge University Press.

Further reading:

Pachler, N.   (2005)   ‘Theories of learning and ICT’ in Leask, M. and Pachler, N.  (eds) ‘Learning to Teach Using ICT in the Secondary School: A Companion to School Experience’ London, Routledge

Crook, C.   (2009) ‘Theories of formal and informal learning in the world of web 2.0’ in Livingstone, S.  (ed)   ‘Theorising the benefits of new technology for youth: Controversies of learning and development’ www.education.ox.ac.uk/esrcseries/uploaded/08_0314%20ESRC%20report_web.pdf

Ackermann, E. (2001) Piaget’s Constructivism, Papert’s Constructionism: What’s the difference? http://learning.media.mit.edu/content/publications/EA.Piaget%20_%20Papert.pdf

Donaldson, M. (1978) Children’s Minds. Glasgow: William Collins Sons

Wood, D., Bruner, J. and Ross, G. (1976) The role of tutoring in problem solving. Journal of Child Psychology and Child Psychiatry, 17, 89 100.

Core reading:

Design-Based Research Collective. (2003). Design-based research: An emerging paradigm for educational inquiry. Educational Researcher, 32(1), 5-8, 3537. http://www.designbasedresearch.org/reppubs/DBRC2003.pdf

diSessa, A. & Cobb, P. (2004). Ontological innovation and the role of theory in design experiments. The Journal of the Learning Sciences 13(1), 77-103

Conlon, T. and H. Pain (1996) Persistent collaboration: a methodology for applied AIED. International Journal of Artificial Intelligence in Education 7, 219-252.

Luckin, R. du Boulay, B. Underwood, J., Holmberg, J., Kerawalla, L., O’Connor, J. Smith, H. (2006) Designing Educational Systems Fit for Use: A Case Study in the Application of Human Centred Design for AIED. The International Journal of Artificial Intelligence in Education (IJAIED), 16 (4). pp. 353-380.

Further reading:

diSessa, A. A., Azevedo, F. S. & Parnafes, O. (2004) Issues in Component Computing: A Synthetic Review. Interactive Learning Environments,12(1), 109-159.

diSessa, A. A. (1995) Epistemology and systems design. In A. diSessa, C. Hoyles, R. Noss, and L. Edwards (Eds.), Computers and Exploratory Learning., pp. 15-29. Springer.

Mavrikis, M. and S. Gutierrez-Santos (2010) Not all wizards are from oz: Iterative design of intelligent learning environments by communication capacity tapering. Computers & Education 54 (3), 641-651.

Van den Akker Jan, Koeno Gravemeijer, Susan McKenney, Nienke Nieveen (2006). Educational Design Research, Routledge

Core reading:

Bossen, C. Dindler, C. and Iversen, O. (2010). User gains and PD aims: Assessment from a participatory design project. In Proceedings of Participatory design PDC’10, ACM: New York, 141-150.

Druin, A. (1999). Cooperative Inquiry: Developing New Technologies for Children with Children. In Proceedings of Human Factors in Computing Systems, ACM: New York, 592-599.

Scaife, M., Rogers, Y., Aldrich, F. and Davies, M. (1997). Designing for or Designing With? Informant Design for Interactive Learning Environments. In Proceedings of Human Factors in Computing Systems, ACM: New York, 343-350.

Khaled, R. and Vasalou, A. (in press). Bridging serious games and participatory design. International Journal of Child-Computer Interaction.

Good, J. and Robertson, J. (2006). CARSS: A Framework for Learner-Centred Design with Children. International Journal of Artificial Intelligence in Education, 16 (4), 381-413.

Parsons, S. and Cobb, S. (2014). Reflections on the role of the ‘users’: challenges in a multi-disciplinary context of learner-centred design for children on the autism spectrum. International Journal of Research & Method in Education.

Core reading:

Parsons, S., Gudlberg, K., Porayska-Pomsta, K., Lee, R. (under review) Digital Stories as a method for evidence-based practice and knowledge co creation in technology-enhanced learning for children with autism.  Submitted to International Journal of Research & Method in Education.

Porayska-Pomsta, K. Anderson, K.; Bernardini, S.; Guldberg, K.; Smith, T.; Kossivaki, L.; Hodgings, S.; and Lowe, I. (2013). Building intelligent authorable serious game for autistic children and their carers. In Proceedings of the 10th International Conference on Advances in Computer Entertainment (ACE 2013), Twente, Netherlands.

Conlon, T. and H. Pain (1996) Persistent collaboration: a methodology for applied AIED. International Journal of Artificial Intelligence in Education 7, 219-252.

Further reading:

diSessa, A. A., Azevedo, F. S. & Parnafes, O. (2004) Issues in Component Computing: A Synthetic Review. Interactive Learning Environments,12(1), 109-159.

Porayska-Pomsta, K., Frauenberger, C., Pain, H., Rajendran, G., Smith, T., Menzies, R., Foster, M. E., Alcorn, A., Wass, S., Bernadini, S., Avramides, K., Keay-Bright, W., Chen, J., Waller, A., Guldberg, K., Good, J., Lemon, O. (2012). Developing Technology for Autism: an interdisciplinary approach.  Journal of Personal and Ubiquitous Computing, Springer Verlag.

Core reading:

Porayska-Pomsta, K. and Bernardini S. (2013) Learner Modelled Environments. Handbook of Digital Technology Research. Jewitt and Price (eds.), SAGE publishers.

Park Woolf, B. (2009) Building Intelligent Interactive Tutors.  Morgan Kaufman.  Chapter 3 discusses modelling student knowledge and affect through three example systems.

Further reading:

Koedinger, K.R., Anderson, J.R., Hadley, W.H., and Mark, M.A. (1997) Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8(1), 30-43

A general paper as background to the Carnegie-Mellon Tutors can be found here: http://act-r.psy.cmu.edu/papers/Lessons_Learned-abs.html

Ortony, A., Clore, G. L., & Collins, A. (1988) The cognitive structure of emotions. : Cambridge University Press.

Core reading:  Ridgway, J McCusker, S.  and Pead , D. (2004)  ‘Literature review of eassessment’  Bristol, Futurelab    Romero, C. and Ventura, S. (2007) Educational Data Mining: A Survey from 1995 to 2005. Expert Systems with Applications 33, 125-146

Further reading:

Pearce-Lazard, D., Poulovassilis, A. & Geraniou, E. (2010). The Design of Teacher Assistance Tools in an Exploratory Learning Environment for Mathematics Generalisation. In Proceedings of the 5th European Conference on Technology Enhanced Learning (ECTEL 2010), Barcelona, Spain, 28th September – 1st October 2010.

Baker, R.S.J.d., Yacef, K. (2009) The State of Educational Data Mining in 2009: A Review and Future Visions. Journal of Educational Data Mining, 1 (1), 3-17.

Core reading:

Bers, M. U. (2010). The TangibleK Robotics Program: Applied Computational Thinking for Young Children. Early Childhood Research and Practice, 12(2).

Ryokai, Lee and Breitbart (2009). Children’s Storytelling and Programming with

Robotic Characters. In proceedings of Cognition and Creativity, ACM Press, pp. 1928.

Scassellati, B., Admoni, H. and Mataric, M. (2012). Robots for Use in Autism Research. Annu. Rev. Biomed. Eng., 14, pp. 275–94.

Core Reading:

Park Woolf, B. (2009).  Building Intelligent Interactive Tutors.  Morgan Kaufman.   Part II, chapter 6 provides a solid introduction to methods and practices of evaluating Intelligent tutoring systems.

Ainsworth, S.E & Fleming, P.F. (2005) Evaluating a Mixed-Initiative Authoring Environment: Is REDEEM for Real? Proceedings of the 12th International Conference on Artificial Intelligence in Education, pp (9-16).

Shute, V. J. & Zapata-Rivera, D. (2008). Educational assessment using intelligent systems.  ETS Research Report No. RR-08-68, Princeton, NJ.

Koedinger, K.R. & McLaughlin, E.A. (in press). A quasi-experimental evaluation of an on-line formative assessment and tutoring system. Journal of Educational Computing Research.  Pdf version of the paper is available at http://pact.cs.cmu.edu/koedinger/publications.html  (paper number 40).

VanLehn, K., Lynch, C., Schulze, K., Shapiro, J.A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., and Wintersgill, M. (2005).  The Andes Physics Tutoring System: Lessons Learned.     International Journal of Artificial Intelligence and Education, 15 (3).

Further Reading:

Vanlehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R. H., Taylor, L., Treacy, D. J., Weinstein, A., and Wintersgill, M. C. (2005).    The Andes physics tutoring system: Five years of evaluations.  In:  G. I. McCalla and C.-K. Looi (Eds.), Proceedings of the Artificial Intelligence in Education Conference . Amsterdam: IOS.

Cohen, P. R., Beal, C. R., & Adams, N. M. (2008). The design, deployment and evaluation of the AnimalWatch intelligent tutoring system. Accepted for presentation at the 5th Prestigious Applications of Intelligent Systems (PAIS) conference, July 2125, Patras Greece.

Beal, C. R., Arroyo, I., Cohen, P. R., & Woolf, B. P. (2010). Evaluation of AnimalWatch: An intelligent tutoring system for arithmetic and fractions. Journal of Interactive Online Learning, in press.  http://www.cs.arizona.edu/projects/ergalics/files/BealArroyoCohenWoolf_2010.pdf

Murray, T. (1993). Formative Qualitative Evaluation for “Exploratory” ITS research. Journal of Artificial Intelligence in Education, 4(2/3), 179-207.

General indicative reading list.

Ainsworth, S.E & Fleming, P.F. (2005) Evaluating a Mixed-Initiative Authoring Environment: Is REDEEM for Real? Proceedings of the 12th International Conference on Artificial Intelligence in Education, pp (9-16).

Ackermann, E. (2001) Piaget’s Constructivism, Papert’s Constructionism: What’s the difference? http://learning.media.mit.edu/content/publications/EA.Piaget%20_%20Papert.pdf

Baker, R.S.J.d., Yacef, K. (2009) The State of Educational Data Mining in 2009: A Review and Future Visions. Journal of Educational Data Mining, 1 (1), 3-17.

Beal, C. R., Arroyo, I., Cohen, P. R., & Woolf, B. P. (2010). Evaluation of AnimalWatch: An intelligent tutoring system for arithmetic and fractions. Journal of Interactive Online Learning, in press.

Beck J., Stern, M., and Haugsjaa, E. (2001). Applications of AI in Education, ACM Crossroads Student Magazine, Fall 1996, 3.1, Issue on Artificial Intelligence. online at http://www.acm.org/crossroads/xrds3-1/aied.html

Cohen, P. R., Beal, C. R., & Adams, N. M. (2008). The design, deployment and evaluation of the AnimalWatch intelligent tutoring system. Accepted for presentation at the 5th Prestigious Applications of Intelligent Systems (PAIS) conference, July 21-25,

Patras Greece. Conlon, T. and H. Pain (1996). Persistent collaboration: a methodology for applied AIED. International Journal of Artificial Intelligence in Education  7, 219-252.

Cook, J. (2002)   ‘The Role of Dialogue in Computer-Based Learning and Observing Learning: An Evolutionary Approach to Theory’  Journal of Interactive Media in  Education,  [www-jime.open.ac.uk/2002/5]

Crook, C.   (2009) ‘Theories of formal and informal learning in the world of web 2.0’  in Livingstone, S.  (ed)   ‘Theorising the benefits of new technology for youth: Controversies of learning and development’ www.education.ox.ac.uk/esrcseries/uploaded/08_0314%20ESRC%20report_web.pdf

Dewey, J (2001)  Experience and thinking (Chapter 11) In Dewey, J: Democracy and Education   The Pennsylvania State University publication. http://www.twinsphere.org/library/philosophy/nonanalytic/modern/American/Dewey,%20J.%20-%20Democracy%20and%20Education.pdf

diSessa, A. A. (1995). Epistemology and systems design. In A. diSessa, C. Hoyles, R. Noss, and L. Edwards (Eds.),  Computers and Exploratory Learning., pp. 1529. Springer.

diSessa, A. A., Azevedo, F. S. & Parnafes, O. (2004). Issues in Component Computing: A Synthetic Review. Interactive Learning Environments, 12(1), 109159.

Donaldson, M. (1978) Children’s Minds. Glasgow: William Collins Sons

Donaldson, S.I. (2003). Theory-driven program evaluation in the new millennium.. In S. I. Donaldson & M. Scriven (Eds.), Evaluating social programs and problems: Visions for the new  millennium (pp. 109-141). Mahwah, NJ: Erlbaum. Available online: http://www.cgu.edu/PDFFiles/sbos/DonaldsonVisionsChp7.pdf

Donaldson, S.I. (2005). Using program theory-driven evaluation science to crack the Da Vinci Code. New Directions for Evaluation, 106, 65-84. Available online: http://www.cgu.edu/include/SBOS%20DaVinci%20Code.pdf

Forbus, K D.  and Feltovich, P J. (eds) (2001), Smart Machines in Education, MIT Press. Grudin, J. (1990) The computer reaches out: the historical continuity of interface design. Proceedings of the SIGCHI conference on Human factors in computing systems: Empowering people, 261-268. Available online: http://research.microsoft.com/enus/um/redmond/groups/coet/Grudin/papers/CH I1990.pdf

Harvey, J. (1998). LTDI Evaluation Cookbook. Edinburgh: Herriot-Watt University. Available online: http://www.icbl.hw.ac.uk/ltdi/cookbook/

Kafai, J. and Resnick, M. (eds) (1996) Constructonism in Practice: Designing, Thinking and Learning in a Digital World. Hillsdale, LEA.

Koedinger, K.R., Anderson, J.R., Hadley, W.H., and Mark, M.A. (1997) Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8(1), 30-43

Koedinger, K.R. & McLaughlin, E.A. (in press). A quasi-experimental evaluation of an on-line formative assessment and tutoring system. Journal of Educational Computing Research.  Pdf version of the paper is available at http://pact.cs.cmu.edu/koedinger/publications.html (paper number 40).

Laurillard, D. (1993). Rethinking University Teaching: a Framework for the Effective Use of Educational Technology, London: Routledge.

Laurillard, D. (2008). “The teacher as action researcher: Using technology to capture pedagogic form.” Studies in Higher Education 33(2): 139-154.

Laurillard, D. (2009) The pedagogical challenges to collaborative technologies. International Journal of Computer-Supported Collaborative Learning, 41(1), 520.

Littleton, K. and Light, P. (eds) (1999).  Learning with computers: analysing productive interaction. London: Routledge

Luckin, R. du Boulay, B. Underwood, J., Holmberg, J., Kerawalla, L., O’Connor, J. Smith, H. (2006) Designing Educational Systems Fit for Use: A Case Study in the Application of Human Centred Design for AIED. The International Journal of Artificial Intelligence in Education (IJAIED), 16 (4). pp. 353-380.

Mavrikis, M. and S. Gutierrez-Santos (2010). Not all wizards are from oz: Iterative design of intelligent learning environments by communication capacity tapering. Computers & Education  54 (3), 641-651.

Merrill, M.D. (2009)  ‘First Principles of Instruction’ in C. M. Reigeluth and A. CarrChellman(eds) Instructional-design theories and models. Vol. 3, Building a common knowledge base London, Routledge

Mor Y. and Winters, N. (2007)    ‘Design approaches in technology enhanced learning’ Journal of Interactive Learning Environments, 15, 1, pp.61-75

Murray, T. (1993). Formative Qualitative Evaluation for “Exploratory” ITS research. Journal of Artificial Intelligence in Education, 4(2/3), 179-207.

Oliver, M. (2003)   ‘Evaluation of ICT: An overview for learning and teaching Science’ in Holliman, R. & Scanlon, E. (Eds)   ‘Mediating Science Learning through Information and Communications Technology’   London, RoutledgeFalmer  (pp.120-138)

Ortony, A., Clore, G. L., & Collins, A. (1988). The cognitive structure of emotions. : Cambridge University Press.

O’Shea, T. and Self, J. (1983). Learning and Teaching with Computers: Artificial Intelligence in Education, Brighton: Harvester Press.

Pachler, N.   (2005)   ‘Theories of learning and ICT’  in Leask, M. and Pachler, N.  (eds) ‘Learning to Teach Using ICT in the Secondary School: A Companion to School Experience’ London, Routledge

Papert, S. (1980). Mindstorms: Children, Computers and Powerful Ideas, Brighton: Harvester Press.

Papert, S., & Harel, I. (1991). Situating Constructionism. In I. Harel & S. Papert (Eds.), Constructionism: research reports and essays, 1985-1990. Norwood, N.J.: Ablex Pub. Corp.

Park Woolf, B. (2009).  Building Intelligent Interactive Tutors.  Morgan Kaufman.

Patton, M. (1997). Intended uses of findings. In, Utlization-focused evaluation: the new century text, pp 64-85. London: Sage.

Pea, R. D. and Sheingold, K. (eds.) (1987). Mirrors of the Mind: Patterns of Experience in Educational Computing, N J: Ablex Publishing Corporation.

Preece, J., Rogers, Y. & Sharp, H. (2002) Understanding Users (Ch 3.) In Preece, Jenny; Rogers, Yvonne and Sharp, Helen (eds) Interaction Design: Beyond Human-Computer Interaction. John Wiley.

Ravenscroft, A. (2007). Promoting thinking and conceptual change with digital dialogue games. Journal of Computer Assisted Learning, 23, 453–465.

Ridgway, J McCusker, S.  and Pead , D. (2004)  ‘Literature review of eassessment’  Bristol, Futurelab

Rogers, Y. (2004) New Theoretical approaches for Human-Computer Interaction. Annual Review of Information, Science and Technology, 38, 87-143. http://mcs.open.ac.uk/yr258/papers/ARIST_Rogers.pdf

Romero, C. and Ventura, S. (2007) Educational Data Mining: A Survey from 1995 to 2005. Expert Systems with Applications 33, 125-146

Russell, S. and Norvig, P. (1995).  Artificial Intelligence. A Modern Approach. Prentice Hall.

Salomon, G. (1994). Interaction of media, cognition, and learning : an exploration ofhow symbolic forms cultivate mental skills and affect knowledge acquisition. Edition: [2nd ed.]. Hillsdale, N.J.: Hove: Erlbaum.

Saunders, M. (2000). Beginning an evaluation with RUFDATA: Theorizing a practical approach to evaluation planning. Evaluation, 6 (1), 7-21.

Schön, D. A. (1987). Educating the Reflective Practitioner. San Francisco: JosseyBass.

Shute, V. J. & Zapata-Rivera, D. (2008). Educational assessment using intelligent systems.  ETS Research Report No. RR-08-68, Princeton, NJ. Shute, V. J., & Zapata-Rivera, D. (in press). Adaptive educational systems. In P. Durlach (Ed.), Adaptive technologies for training and education. New York, NY:Cambridge University Press. http://myweb.fsu.edu/vshute/publications.html (papers in press)

Shute, V. J., Masduki, I., & Donmez, O. (in press). Conceptual framework for modeling, assessing, and supporting competencies within game environments. Technology, Instruction, Cognition, and Learning. [ http://myweb.fsu.edu/vshute/publications.html  (papers in press)]

Seely Brown, J., Collins, A., & Duguid, P. (1989) Situated Cognition and the Culture of Learning. Educational Researcher. v18 n1, pp. 32-­‐42, Jan-­‐Feb 1989

Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning: An historical perspective. . In R. K. Sawyer (Ed.), Cambridge handbook of the learning sciences (pp. 409-426.). Cambridge, UK.: Cambridge University Press.

Tisue, S., & Wilensky, U. (2004). NetLogo: A Simple Environment for Modeling Complexity. Paper presented at the International Conference on Complex Systems, May 16–21, 2004, Boston.

Underwood, J. D. M. and Underwood, G. (1990). Computers and Learning: Helping Children Acquire Thinking Skills, Oxford: Blackwell.

VanLehn, K., Ohlsson, S., & Nason, R. (1994). Applications of simulated students: An exploration. Journal of AI in Education, 5, 135-175

VanLehn, K., Lynch, C., Schulze, K., Shapiro, J.A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., and Wintersgill, M. (2005).  The Andes Physics Tutoring System: Lessons Learned.     International Journal of Artificial Intelligence and Education, 15 (3).

Vanlehn, K., Lynch, C., Schulze, K., Shapiro, J. A., Shelby, R. H., Taylor, L., Treacy, D. J., Weinstein, A., and Wintersgill, M. C. (2005).    The Andes physics tutoring system: Five years of evaluations.  In:  G. I. McCalla and C.-K. Looi (Eds.), Proceedings of the Artificial Intelligence in Education Conference . Amsterdam: IOS.

Vygotsky, L. (1986). Thought and Language, Cambridge, Mass.: MIT Press

Wali, E., Winters, N. and Oliver, M.  (2008)   ‘Maintaining, Changing and Crossing Contexts: an Activity Theoretic Reinterpretation of Mobile Learning’  Journal of the Association for Learning Technology, 16, 1, pp.41-57

Whitelock, D.   (2009)   ‘E-assessment: developing new dialogues for the digital age’ British Journal of Education Technology, 40, 2, pp.199-202.

Wong, Denis, Shephard, Kerry L. and Phillips, Peter (2008) ‘The cathedral and the bazaar of e-repository development: encouraging community engagement with moving pictures and sound’, ALT-J,16:1, 31-40.

Wood, D., Bruner, J. and Ross, G. (1976) The role of tutoring in problem solving. Journal of Child Psychology and Child Psychiatry, 17, 89 100

A general paper as background to the Carnegie-Mellon Tutors can be found here: http://act-r.psy.cmu.edu/papers/Lessons_Learned-abs.html  AutoTutor is developed at the University of Memphis: http://www.autotutor.org

Park Woolf, B. (2009).  Building Intelligent Interactive Tutors.  Morgan Kaufman.

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