AI Dirençli Ölçme Yapay Zeka Çağında Öğrenmeyi, Düşünmeyi Ve Özgünlüğü Değerlendirmek

Anderson, L. W., Krathwohl, D. R. (Eds.). (2001). A Taxonomy for Learning, Teaching, and Assessing: A Revision of Bloom's Taxonomy of Educational Objectives. Longman.

Bakhtin, M. M. (1981). The dialogic imagination: Four essays (M. Holquist, Ed.; C. Emerson M. Holquist, Çev.). University of Texas Press.

Bender, E. M., Koller, A. (2020). Climbing towards NLU: On meaning, form, and understanding in the age of data. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 5185–5198.

Black, P., Wiliam, D. (2009). Developing the theory of formative assessment. Educational Assessment, Evaluation and Accountability (formerly Journal of Personnel Evaluation in Education), 21(1), 5-31.

Bransford, J. D., Brown, A. L., Cocking, R. R. (Eds.). (2000). How people learn: Brain, mind, experience, and school. National Academies Press.

Brookhart, S. M. (2017). How to give effective feedback to your students (2nd ed.). ASCD.

Bruner, J. S. (1966). Toward a theory of instruction. Harvard University Press.

CAST. (2018). Universal Design for Learning Guidelines version 2.2.

Chi, M. T. H. (1989). Self-explanations: How students study and learn. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 313–341). Lawrence Erlbaum Associates.

Chi, M. T. H. (2009). Active, constructive, and interactive: A conceptual framework for differentiating learning activities. Topics in Cognitive Science, 1(1), 73-105.

Chi, M. T. H., Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219-243.

Clark, A. (1997). Being there: Putting brain, body, and world together again. The MIT Press.

Deci, E. L., Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268.

Duckworth, A. L., Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance. Psychological Science, 16(12), 939–944.

Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.

Edmondson, A. C. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383.

Efklides, A. (2011). Interactions of metacognition with motivation and affect. In T. J. Perfect B. L. Schwartz (Eds.), Applied metacognition (pp. 119–141). Cambridge University Press.

Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive-developmental inquiry. American Psychologist, 34(10), 906-911.

Floridi, L., Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30(4), 681–694.

Floridi, L., Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).

Gardner, H. (1999). Intelligence reframed: Multiple intelligences for the 21st century. Basic Books.

Hatton, N., Smith, D. (1995). Reflection in teacher education: Towards definition and implementation. Teaching and Teacher Education, 11(1), 33-49.

Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge.

Hattie, J., Donoghue, G. M. (2016). Learning strategies: A synthesis and conceptual model. Nature Partner Journals: Science of Learning, 1(1), 1-13.

Hattie, J., Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112.

Herrington, J., Oliver, R. (2000). An instructional design framework for authentic learning environments. Educational Technology Research and Development, 48(3), 23-48.

Hmelo-Silver, C. E. (2004). Problem-based learning: What and how do students learn? Educational Psychology Review, 16(3), 235-266.

Holmes, W., Bialik, M., Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. The Center for Curriculum Redesign.

Johnson, K. (2023). Large Language Models and the Illusion of Reasoning. The New Atlantis: A Journal of Technology and Society, 72, 25-42.

Katz, L. G. (1993). Dispositions: Definitions and implications for early childhood programs. ERIC Clearinghouse on Elementary and Early Childhood Education.

Kellogg, R. T. (2020). The psychology of writing. Oxford University Press.

Kirschner, P. A., van Merriënboer, J. J. G. (2013). Do learners really know best? Urban legends in education. Educational Psychologist, 48(3), 169–180.

Kreps, S., McCain, R., Brundage, M. (2022). All the news that’s fit to fabricate: AI-generated text as a tool of disinformation. International Studies Review, 24(4), viad067.

Lee, C. (2023). AI-mediated composition and its cognitive implications. Journal of Writing Research, 15(1), 1-25.

Luckin, R. (2018). Machine learning and human intelligence: The future of teaching and learning. UCL Institute of Education Press.

Marcus, G., Davis, E. (2020). Rebooting AI: Building artificial intelligence we can trust. Vintage Books.

Marton, F., Tsui, A. B. M. (2004). Classroom discourse and the ecology of learning. Lawrence Erlbaum Associates Publishers.

Mayer, R. E. (2005). The Cambridge handbook of multimedia learning. Cambridge University Press.

Mueller, P. A., Oppenheimer, D. M. (2014). The pen is mightier than the keyboard: Advantages of longhand over laptop note taking. Psychological Science, 25(6), 1159–1168.

Nicol, D. J., Macfarlane-Dick, D. (2006). Formative assessment and self-regulated learning: A model and seven principles of good feedback practice. Studies in Higher Education, 31(2), 199-218.

Noddings, N. (2013). Caring: A relational approach to ethics moral education (2nd ed.). University of California Press.

OECD. (2018). The future of education and skills 2030. (Raporun tam adı/seri numarası belirtilmediği için genel hali bırakılmıştır.)

OECD. (2019). OECD Learning Compass 2030 (Learning Compass 2030: A conceptual framework). (Raporun tam adı/seri numarası belirtilmediği için genel hali bırakılmıştır.)

OECD. (2023). Digital education outlook. OECD Publishing.

Paivio, A. (1986). Mental representations: A dual coding approach. Oxford University Press.

Paul, R., Elder, L. (2006). Critical thinking: Tools for taking charge of your professional and personal life (3rd ed.). Pearson Education.

Pekrun, R. (2014). Emotions and learning. In V. Zeigler-Hill, L. S. Welling, K. G. Shackelford (Eds.), Personality and education (pp. 582-601). Cambridge University Press.

Pellegrino, J. W., Chudowsky, N., Glaser, R. (Eds.). (2001). Knowing what students know: The science and design of educational assessment. National Academy Press.

Pellegrino, J. W., Hilton, M. L. (Eds.). (2012). Education for life and work: Developing transferable knowledge and skills in the 21st century. National Academies Press.

Perkins, D. N., Jay, E., Tishman, S. (2000). Intelligence in the wild: A dispositional view of intellectual competence. Educational Psychologist, 35(4), 269–279.

Ritchhart, R., Church, M., Morrison, K. (2011). Making thinking visible: How to promote engagement, understanding, and independence for all learners. Jossey-Bass.

Risko, E. F., Gilbert, S. J. (2016). Cognitive offloading. Trends in Cognitive Sciences, 20(9), 676-688.

Rosen, L. D., Lim, A. F., Carrier, L. M. (2018). The distracted mind in the digital generation: Using technology and managing distractions. In J. L. Hunsinger B. K. K. P. L. Hunsinger (Eds.), The psychology of the digital age (pp. 165–182). Nova Science Publishers.

Rudolph, J., Tan, S., Tan, S. (2023). ChatGPT: Bullshit spewer or the end of traditional assessments? / Authorship ambiguity in AI-generated text. (Bu kaynak iki farklı başlıkta listelendiği için, makalenin/raporun tam başlığının doğrulanması gerekebilir. En kapsamlı başlık veya yayın türü belirtilmediğinden, yayın yerini araştırmaya dahil ettim. Genellikle akademik bir ön baskı veya rapor olarak geçer).

Sadler, D. R. (1989). Formative assessment and the design of instructional systems. Instructional Science, 18(2), 119-144.

Saito, H., Shavelson, R. J. (2022). Student ownership and assessment validity. Assessment in Education: Principles, Policy Practice, 29(1), 127-147.

Scardamalia, M., Bereiter, C. (2006). Knowledge building: Theory, pedagogy, and technology. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 97-118). Cambridge University Press.

Schoenfeld, A. H. (2016). How we think: A theory of human problem solving. Routledge.

Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.

Shanahan, M. (2022). Talking about large language models. Mind Language, 37(5), 896–911.

Shneiderman, B. (2020). Human-centered AI. Oxford University Press.

Shulman, L. S. (1987). Knowledge and teaching: Foundations of the new reform. Harvard Educational Review, 57(1), 1-22.

T.C. Millî Eğitim Bakanlığı (2023). Türkiye Yüzyılı Maarif Modeli T.C. Millî Eğitim Bakanlığı.

Tomlinson, C. A. (2014). The differentiated classroom: Responding to the needs of all learners (2nd ed.). ASCD.

Topping, K. J. (2017). Peer assessment: Learning by judging and discussing the work of other learners. Educational Research Review, 21, 1-17.

Torrance, H. (2012). Formative assessment at the crossroads: Conformative, deformative, and transformative assessment. Oxford Review of Education, 38(3), 325-342.

Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.

Wiggins, G. P. (1998). Educative assessment: Designing assessments to inform and improve student performance. Jossey-Bass.

Wiggins, G., McTighe, J. (2005). Understanding by design (2nd ed.). ASCD.

Wiliam, D. (2011). Embedded formative assessment. Solution Tree Press.

Winne, P. H., Hadwin, A. F. (2008). The information processing model of self-regulated learning. In D. H. Schunk B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 293–321). Lawrence Erlbaum Associates.

Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory into Practice, 41(2), 64-70.