library_books References & Resources
Academic foundations that inform how we build ecosystems where knowledge regenerates — supporting learning as a living process.
Academic Foundation
library_books Complete Bibliography
Key sources from each thematic area. Complete bibliography of 154 academic references available below.
Sources selected through systematic review across peer-reviewed journals, authoritative policy documents, and foundational texts
Complete Reference List
smart_toy AI in Education Research (25)
Australian Government Department of Education. (2023). Australian framework for generative AI in schools.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Porayska-Pomsta, K., Holmes, W., & Nemorin, S. (2024). The ethics of AI in education. In S. K. D'Mello (Ed.), Handbook of artificial intelligence in education. Springer.
UNESCO. (2021). AI and education: Guidance for policy-makers. UNESCO.
OECD. (2021). AI and the future of skills: Capabilities and learning for life. OECD Publishing.
Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press.
Williamson, B., & Piattoeva, N. (2022). Education governance and datafication: Power and politics in digital education. Routledge.
Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Nesta.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press.
Tuomi, I. (2022). The future of learning with AI. European Journal of Education, 57(2), 243–258.
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton.
Holmes, W., & Porayska-Pomsta, K. (2022). AI and education: A critical view. Learning, Media and Technology, 47(4), 457–472.
European Commission. (2021). Ethics guidelines for trustworthy AI. Publications Office of the European Union.
Holmes, W. (2020). Exploring AI literacy in schools. Computers & Education, 148, 103791.
Renz, A., & Hilbig, R. (2020). Prerequisites for artificial intelligence in further education: Identification of drivers, barriers, and business models of educational technology companies. International Journal of Educational Technology in Higher Education, 17(1), 14.
Selwyn, N., & Jandrić, P. (2020). Postdigital living in the age of Covid-19: Unsettling education. Postdigital Science and Education, 2(3), 463–478.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39.
Australian Government eSafety Commissioner. (2023). Generative AI and students: Safety considerations.
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial intelligence trends in education: A narrative review. Procedia Computer Science, 136, 16–24.
Holmes, W., & Tuomi, I. (2023). Reframing AI literacy: Towards a critical perspective on AI in education. Journal of Educational Technology & Society, 26(2), 15–29.
Koedinger, K. R., & Corbett, A. T. (2006). Cognitive tutors: Technology bringing learning sciences to the classroom. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 61–77). Cambridge University Press.
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued progress: Promising evidence on personalized learning. RAND Corporation.
Siemens, G., & Gasevic, D. (2012). Guest editorial - Learning and knowledge analytics. Educational Technology & Society, 15(3), 1–2.
Baker, T. (2020). AI for schools: Where do we begin? Nesta Education Blog.
school Core Educational Theory (12)
Bruner, J. S. (1960). The process of education. Harvard University Press.
Dewey, J. (1938). Experience and education. Macmillan.
Freire, P. (1970). Pedagogy of the oppressed. Herder and Herder.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
Mezirow, J. (1991). Transformative dimensions of adult learning. Jossey-Bass.
Piaget, J. (1972). The psychology of the child. Basic Books.
Brookfield, S. D. (1995). Becoming a critically reflective teacher. Jossey-Bass.
Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.
Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). Open University Press.
Illeris, K. (2009). Contemporary theories of learning: Learning theorists in their own words. Routledge.
Kahn, K. (2023). AI: The learner's apprentice. [verify source]
psychology Critical Thinking & Metacognition (18)
Brookfield, S. D. (2012). Teaching for critical thinking: Tools and techniques to help students question their assumptions. Jossey-Bass.
Costa, A. L., & Kallick, B. (2008). Learning and leading with habits of mind: 16 essential characteristics for success. ASCD.
Facione, P. A. (1990). Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction (The Delphi Report). American Philosophical Association.
Paul, R., & Elder, L. (2019). The miniature guide to critical thinking: Concepts and tools. Foundation for Critical Thinking.
Perkins, D. (2009). Making learning whole: How seven principles of teaching can transform education. Jossey-Bass.
Lipman, M. (2003). Thinking in education (2nd ed.). Cambridge University Press.
Kuhn, D. (2000). Metacognitive development. Current Directions in Psychological Science, 9(5), 178–181.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911.
King, A. (1995). Designing the instructional process to enhance critical thinking across the curriculum. Teaching of Psychology, 22(1), 13–17.
Ennis, R. H. (2018). Critical thinking across the curriculum: A vision. Routledge.
Beyer, B. K. (1995). Critical thinking. Phi Delta Kappa Educational Foundation.
Halpern, D. F. (2014). Thought and knowledge: An introduction to critical thinking (5th ed.). Psychology Press.
Perkins, D., Jay, E., & Tishman, S. (1993). Beyond abilities: A dispositional theory of thinking. Merrill-Palmer Quarterly, 39(1), 1–21.
Claxton, G. (2002). Building learning power: Helping young people become better learners. TLO Ltd.
Tishman, S., Jay, E., & Perkins, D. (1993). Teaching thinking dispositions: From transmission to enculturation. Theory into Practice, 32(3), 147–153.
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives: The classification of educational goals. Longmans, Green.
Fisher, A. (2011). Critical thinking: An introduction (2nd ed.). Cambridge University Press.
Perkins, D. N., & Tishman, S. (2001). Dispositional aspects of intelligence. In J. Aronson (Ed.), Improving academic achievement (pp. 233–255). Academic Press.
balance AI Ethics & Responsible Use (21)
Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399.
Binns, R. (2018). Fairness in machine learning: Lessons from political philosophy. Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency (FAT*), 149–159.
Whittlestone, J., Nyrup, R., Alexandrova, A., Dihal, K., & Cave, S. (2019). The role and limits of principles in AI ethics: Towards a focus on tensions. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 195–200.
Morley, J., Floridi, L., Kinsey, L., & Elhalal, A. (2020). From what to how: An initial review of publicly available AI ethics tools, methods and research to translate principles into practices. Science and Engineering Ethics, 26(4), 2141–2168.
Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity Press.
Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press.
Nemorin, S. (2017). The affective politics of digital media: Feeling, pleasure, and power. Routledge.
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.
Greene, D., Hoffmann, A. L., & Stark, L. (2019). Better, nicer, clearer, fairer: A critical assessment of the movement for ethical artificial intelligence and machine learning. Proceedings of the 52nd Hawaii International Conference on System Sciences, 2122–2131.
Crawford, K., Dobbe, R., Dryer, T., Fried, G., Green, B., Kaziunas, E., Mathur, V., McElroy, E., Sánchez, A. N., Raji, I. D., & Whittaker, M. (2019). AI Now 2019 report. AI Now Institute.
European Commission. (2021). Ethics guidelines for trustworthy AI. Publications Office of the European Union.
Australian Government Department of Industry, Science and Resources. (2019). Australia's AI ethics framework.
UNESCO. (2021). Recommendation on the ethics of artificial intelligence. UNESCO.
Fast, E., & Horvitz, E. (2017). Long-term trends in the public perception of artificial intelligence. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1).
Borenstein, J., Herkert, J. R., & Miller, K. W. (2017). The ethics of autonomous cars. The Atlantic.
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 1–21.
Rahwan, I. (2018). Society-in-the-loop: Programming the algorithmic social contract. Ethics and Information Technology, 20(1), 5–14.
Nissenbaum, H. (2004). Privacy as contextual integrity. Washington Law Review, 79(1), 119–157.
Cave, S., Dihal, K., & Dillon, S. (Eds.). (2020). AI narratives: A history of imaginative thinking about intelligent machines. Oxford University Press.
sports_esports Game-Based Learning (15)
Gee, J. P. (2003). What video games have to teach us about learning and literacy. Palgrave Macmillan.
Gee, J. P. (2007). Good video games and good learning: Collected essays on video games, learning and literacy. Peter Lang.
Prensky, M. (2001). Digital game-based learning. McGraw-Hill.
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. (2011). From game design elements to gamefulness: Defining "gamification." Proceedings of the 15th International Academic MindTrek Conference, 9–15.
McGonigal, J. (2011). Reality is broken: Why games make us better and how they can change the world. Penguin Press.
Hamari, J., Koivisto, J., & Sarsa, H. (2014). Does gamification work? — A literature review of empirical studies on gamification. 47th Hawaii International Conference on System Sciences (HICSS), 3025–3034.
Kapp, K. M. (2012). The gamification of learning and instruction: Game-based methods and strategies for training and education. Pfeiffer.
Whitton, N. (2014). Digital games and learning: Research and theory. Routledge.
Gee, E., & Hayes, E. R. (2011). Language and learning in the digital age. Routledge.
Connolly, T. M., Boyle, E. A., MacArthur, E., Hainey, T., & Boyle, J. M. (2012). A systematic literature review of empirical evidence on computer games and serious games. Computers & Education, 59(2), 661–686.
NMC Horizon Project. (2016). NMC horizon report: 2016 higher education edition. The New Media Consortium.
Australian Council for Educational Research. (2022). Digital Australia 2022. Interactive Games & Entertainment Association.
Gee, J. P., & Shaffer, D. W. (2010). Looking where the light is bad: Video games and the future of assessment. Phi Delta Kappan, 92(7), 68–71.
Squire, K. (2011). Video games and learning: Teaching and participatory culture in the digital age. Teachers College Press.
Stott, A., & Neustaedter, C. (2013). Analysis of gamification in education. Surrey, BC: Surrey School of Interactive Arts and Technology.
search Research Methodology & Digital Literacy (8)
Booth, W. C., Colomb, G. G., & Williams, J. M. (2016). The craft of research (4th ed.). University of Chicago Press.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage.
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.
Bond University. (2023). Foundations of digital literacy [Microcredential course]. Bond University.
Vanderbilt University. (2024). Deep research with AI [Online course]. Vanderbilt University.
Association of College & Research Libraries. (2016). Framework for information literacy for higher education. ACRL.
Bruce, C. (2008). Informed learning. Association of College & Research Libraries.
Head, A. J., & Eisenberg, M. B. (2010). Truth be told: How college students evaluate and use information in the digital age. Project Information Literacy Progress Report.
security Digital Citizenship, Privacy & Footprints (16)
GDPR.eu. (n.d.). What is GDPR?
CNBC. (2018, May 25). What is GDPR? | CNBC Explains [Video]. YouTube.
Office of the Australian Information Commissioner. (2023). Community attitudes to privacy survey.
Scamwatch. (2023). Scam statistics. Australian Competition and Consumer Commission.
Ranking Digital Rights. (2022). Big Tech scorecard.
European Parliament and Council of the European Union. (2016). General Data Protection Regulation (EU) 2016/679. Official Journal of the European Union.
TEDx Talks. (2018). Four reasons to care about your digital footprint [Video]. YouTube.
Australian Government Department of Education. (2022). The digital footprint in Australia's K–12 education system: Implications, management and policy frameworks.
Livingstone, S., & Third, A. (2017). Children and young people's rights in the digital age: An emerging agenda. New Media & Society, 19(5), 657–670.
UNICEF. (2021). The state of the world's children 2021: On my mind – promoting, protecting and caring for children's mental health. UNICEF.
OECD. (2021). The digital transformation of education: A review of evidence on risks and opportunities. OECD Publishing.
Common Sense Media. (2022). Tweens, teens, tech, and mental health: Executive summary.
Office of the eSafety Commissioner. (2023). Digital reputation and footprint.
European Commission. (2020). Data strategy for Europe.
Wright, D., & Raab, C. D. (2014). Privacy principles, risks and harms. International Review of Law, Computers & Technology, 28(3), 273–299.
van Dijck, J. (2014). Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance & Society, 12(2), 197–208.
eco Environmental & Societal Impact of Technology (14)
Boyd, D., & Crawford, K. (2012). Critical questions for big data: Provocations for a cultural, technological, and scholarly phenomenon. Information, Communication & Society, 15(5), 662–679.
Carr, N. (2010). The shallows: What the internet is doing to our brains. W. W. Norton.
Parikka, J. (2015). A geology of media. University of Minnesota Press.
Maxwell, R., & Miller, T. (2012). Greening the media. Oxford University Press.
Rieder, B., & Sire, G. (2014). Conflicts of interest and the carbon footprint of computation. Internet Policy Review, 3(2).
Sui, D., Goodchild, M., & Elwood, S. (Eds.). (2013). Crowdsourcing geographic knowledge: Volunteered geographic information (VGI) in theory and practice. Springer.
Gabrys, J. (2016). Program earth: Environmental sensing technology and the making of a computational planet. University of Minnesota Press.
UNEP. (2019). Sand and sustainability: Finding new solutions for environmental governance of global sand resources. United Nations Environment Programme.
Bates, J., & Goodman, M. K. (2020). Data for sustainable development: Naturalising the new "green data economy." Sustainable Earth, 3(1), 1–12.
de Vries, A. (2021). Bitcoin boom: What rising prices mean for the network's energy consumption. Joule, 5(3), 509–513.
Lange, S. (2019). Unsustainable: A critical analysis of the economic and environmental costs of digital technologies. Springer.
Stretesky, P. B., Long, M. A., & Lynch, M. J. (2014). The treadmill of crime: Political economy and green criminology. Routledge.
OECD. (2021). Environmental performance review: Digital economy and green growth. OECD Publishing.
Manovich, L. (2020). Cultural analytics. MIT Press.
diversity_3 Representation, Bias & Media Literacy (15)
Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research, 81, 1–15.
O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.
Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin's Press.
Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press.
Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim code. Polity Press.
Keyes, O. (2018). The misgendering machines: Trans/HCI implications of automatic gender recognition. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1–22.
Crawford, K. (2021). Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press.
Noble, S. U., & Tynes, B. M. (Eds.). (2016). The intersectional internet: Race, sex, class, and culture online. Peter Lang.
Gillespie, T. (2018). Custodians of the Internet: Platforms, content moderation, and the hidden decisions that shape social media. Yale University Press.
Bucher, T. (2018). If… then: Algorithmic power and politics. Oxford University Press.
McMillan Cottom, T. (2020). Thick: And other essays. The New Press.
Wikipedia Foundation. (2023). Wikipedia diversity report.
Unicode Consortium. (2021). Emoji frequency and diversity data.
Australian Human Rights Commission. (2021). Human rights and technology: Final report.
accessibility Accessibility & Inclusive Design (10)
World Wide Web Consortium (W3C). (2018). Web Content Accessibility Guidelines (WCAG) 2.1.
Google. (2023). Accessibility Scanner.
Microsoft. (2021). Inclusive design toolkit.
Centre for Inclusive Design. (2021). The benefit of designing for everyone.
Clarkson, J., Coleman, R., Keates, S., & Lebbon, C. (Eds.). (2013). Inclusive design: Design for the whole population. Springer.
Bennett, C. L., & Rosner, D. K. (2019). The promise of empathy: Design, disability, and knowing the "other." Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–13.
Lidwell, W., Holden, K., & Butler, J. (2010). Universal principles of design. Rockport Publishers.
World Health Organization. (2021). World report on disability. WHO Press.
Khalid, H. M. (2006). Embracing diversity in user needs for affective design. Applied Ergonomics, 37(4), 409–418.
Hassell Inclusion. (2020). Accessible design in digital education.