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Erschienen in: Education and Information Technologies 8/2023

18.01.2023

Exploring middle school students’ common naive conceptions of Artificial Intelligence concepts, and the evolution of these ideas

verfasst von: Keunjae Kim, Kyungbin Kwon, Anne Ottenbreit-Leftwich, Haesol Bae, Krista Glazewski

Erschienen in: Education and Information Technologies | Ausgabe 8/2023

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Abstract

This study aims to explore the middle schoolers' common naive conceptions of AI and the evolution of these conceptions during an AI summer camp. Data were collected from 14 middle school students (12 boys and 2 girls) from video observations and learning artifacts. The findings revealed 6 naive conceptions about AI concepts: (1) AI was the same as automation and robotics; (2) AI was a cure-all solution; (3) AI was created to be smart; (4) All data can be used by AI; and (5) AI had nothing to do with ethical considerations. The evolution of students’ conceptions of AI was captured throughout the summer camp. This study will contribute to clarifying what naive conceptions of AI were common in young students and investigating design considerations for the AI curriculum in K-12 settings to address them effectively.

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Literatur
Zurück zum Zitat Badham, R., Clegg, C., & Wall, T. (2000). Socio-technical theory. John Wiley. Badham, R., Clegg, C., & Wall, T. (2000). Socio-technical theory. John Wiley.
Zurück zum Zitat Van Brummelen, J., Heng, T., & Tabunshchyk, V. (2021). Teaching tech to talk: K-12 conversational artificial intelligence literacy curriculum and development tools. In M. Neumann, P. Virtue & M. Guerzhoy (Eds.), Proceedings of 2021 AAAI Symposium on Educational Advances in Artificial Intelligence. AAAI. https://doi.org/10.48550/arXiv.2009.05653 Van Brummelen, J., Heng, T., & Tabunshchyk, V. (2021). Teaching tech to talk: K-12 conversational artificial intelligence literacy curriculum and development tools. In M. Neumann, P. Virtue & M. Guerzhoy (Eds.), Proceedings of 2021 AAAI Symposium on Educational Advances in Artificial Intelligence. AAAI. https://​doi.​org/​10.​48550/​arXiv.​2009.​05653
Zurück zum Zitat Chai, C. S., Lin, P. Y., Jong, M. S. Y., Dai, Y., Chiu, T. K., & Qin, J. (2021). Perceptions of and behavioral intentions towards learning artificial intelligence in primary school students. Educational Technology & Society, 24(3), 89–101. https://www.jstor.org/stable/27032858 Chai, C. S., Lin, P. Y., Jong, M. S. Y., Dai, Y., Chiu, T. K., & Qin, J. (2021). Perceptions of and behavioral intentions towards learning artificial intelligence in primary school students. Educational Technology & Society, 24(3), 89–101. https://​www.​jstor.​org/​stable/​27032858
Zurück zum Zitat Chiodini, L., Moreno Santos, I., Gallidabino, A., Tafliovich, A., Santos, A. L., & Hauswirth, M. (2021). A curated inventory of programming language misconceptions. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 380–386). Association for Computing Machinery. https://doi.org/10.1145/3430665.3456343 Chiodini, L., Moreno Santos, I., Gallidabino, A., Tafliovich, A., Santos, A. L., & Hauswirth, M. (2021). A curated inventory of programming language misconceptions. In Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1 (pp. 380–386). Association for Computing Machinery. https://​doi.​org/​10.​1145/​3430665.​3456343
Zurück zum Zitat Creswell, J. W., & Gutterman, C. N. (2019). Educational research: Planning, conducting and evaluating quantitative and qualitative research (6th ed.). Pearson. Creswell, J. W., & Gutterman, C. N. (2019). Educational research: Planning, conducting and evaluating quantitative and qualitative research (6th ed.). Pearson.
Zurück zum Zitat Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage Publications. Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage Publications.
Zurück zum Zitat Davis, B. G. (1997). Misconceptions as barriers to understanding science. In National Research Council (Eds.), Science teaching reconsidered: A handbook. (pp. 27–32). National Academies Press. Davis, B. G. (1997). Misconceptions as barriers to understanding science. In National Research Council (Eds.), Science teaching reconsidered: A handbook. (pp. 27–32). National Academies Press.
Zurück zum Zitat Dipaola, D., Payne, B. H., & Breazeal, C. (2022). Preparing children to be conscientious consumers and designers of AI technologies. In S. C. Kong & H. Abelson (Eds.), Computational thinking education in K-12: Artificial intelligence literacy and physical computing (pp. 181–205). MIT Press.CrossRef Dipaola, D., Payne, B. H., & Breazeal, C. (2022). Preparing children to be conscientious consumers and designers of AI technologies. In S. C. Kong & H. Abelson (Eds.), Computational thinking education in K-12: Artificial intelligence literacy and physical computing (pp. 181–205). MIT Press.CrossRef
Zurück zum Zitat Druga, S., Vu, S. T., Likhith, E., & Qiu, T. (2019). Inclusive AI literacy for kids around the world. In P. Blikstein & N. Holbert (Eds.), Proceedings of FabLearn 2019 8th Annual Conference on Maker Education (pp. 104–111). The Association for Computing Machinery. https://doi.org/10.1145/3311890.3311904 Druga, S., Vu, S. T., Likhith, E., & Qiu, T. (2019). Inclusive AI literacy for kids around the world. In P. Blikstein & N. Holbert (Eds.), Proceedings of FabLearn 2019 8th Annual Conference on Maker Education (pp. 104–111). The Association for Computing Machinery. https://​doi.​org/​10.​1145/​3311890.​3311904
Zurück zum Zitat Ginat, D., Menashe, E., & Taya, A. (2013). Novice difficulties with interleaved pattern composition. In I. Diethelm & R. T. Mittermeier (Eds.) Proceedings of International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (pp. 57–67). ISSEP. https://doi.org/10.1007/978-3-642-36617-8 Ginat, D., Menashe, E., & Taya, A. (2013). Novice difficulties with interleaved pattern composition. In I. Diethelm & R. T. Mittermeier (Eds.) Proceedings of International Conference on Informatics in Schools: Situation, Evolution, and Perspectives (pp. 57–67). ISSEP. https://​doi.​org/​10.​1007/​978-3-642-36617-8
Zurück zum Zitat Glenberg, A., de Vega, M., & Graesser, A. C. (2008). Framing the debate. In M. de Vega, A. Glenberg, & A. C. Graesser (Eds.), Symbols and embodiment: Debates on meaning and cognition (pp. 1–10). Oxford University Press. Glenberg, A., de Vega, M., & Graesser, A. C. (2008). Framing the debate. In M. de Vega, A. Glenberg, & A. C. Graesser (Eds.), Symbols and embodiment: Debates on meaning and cognition (pp. 1–10). Oxford University Press.
Zurück zum Zitat Gunkel, D. J. (2012). The machine question: Critical perspectives on AI, robots, and ethics. MIT Press.CrossRef Gunkel, D. J. (2012). The machine question: Critical perspectives on AI, robots, and ethics. MIT Press.CrossRef
Zurück zum Zitat Holmes, W., Bialik, M., & Fadel, C. (2020). Artificial Intelligence in Education. Center for curriculum redesign. Holmes, W., Bialik, M., & Fadel, C. (2020). Artificial Intelligence in Education. Center for curriculum redesign.
Zurück zum Zitat Kaczmarczyk, L. C., Petrick, E. R., East, J. P., & Herman, G. L. (2010). Identifying student misconceptions of programming. In G. Lewandowski, S. Wolfman, T. J. Cortina, & E. L. Walker, (Eds.), Proceedings of the 41st ACM technical symposium on Computer science education (pp. 107–111). Association of Computing Machinery. https://doi.org/10.1145/1734263.1734299 Kaczmarczyk, L. C., Petrick, E. R., East, J. P., & Herman, G. L. (2010). Identifying student misconceptions of programming. In G. Lewandowski, S. Wolfman, T. J. Cortina, & E. L. Walker, (Eds.), Proceedings of the 41st ACM technical symposium on Computer science education (pp. 107–111). Association of Computing Machinery. https://​doi.​org/​10.​1145/​1734263.​1734299
Zurück zum Zitat Karpudewan, M., Zain, A. N. M., & Chandrasegaran, A. L. (Eds.). (2017). Overcoming students’ misconceptions in science. Springer. Karpudewan, M., Zain, A. N. M., & Chandrasegaran, A. L. (Eds.). (2017). Overcoming students’ misconceptions in science. Springer.
Zurück zum Zitat Kong, S. C., & Abelson, H. (Eds.). (2022). Computational thinking education in K-12: Artificial intelligence literacy and physical computing. MIT Press. Kong, S. C., & Abelson, H. (Eds.). (2022). Computational thinking education in K-12: Artificial intelligence literacy and physical computing. MIT Press.
Zurück zum Zitat Kong, S. C., Cheung, W. M. Y., & Tsang, O. (2022). Evaluating an artificial intelligence literacy programme for empowering and developing concepts, literacy and ethical awareness in senior secondary students. Education and Information Technologies, 1–22. https://doi.org/10.1007/s10639-022-11408-7 Kong, S. C., Cheung, W. M. Y., & Tsang, O. (2022). Evaluating an artificial intelligence literacy programme for empowering and developing concepts, literacy and ethical awareness in senior secondary students. Education and Information Technologies, 1–22. https://​doi.​org/​10.​1007/​s10639-022-11408-7
Zurück zum Zitat Kreinsen, M., & Schulz, S. (2021). Students' conceptions of artificial intelligence. In Berges. M., Mühling. A, & Armoni, M. (Eds.), Proceedings of the 16th Workshop in Primary and Secondary Computing Education (pp. 1–2). Association for Computing Machinery. https://doi.org/10.1145/3481312.3481328 Kreinsen, M., & Schulz, S. (2021). Students' conceptions of artificial intelligence. In Berges. M., Mühling. A, & Armoni, M. (Eds.), Proceedings of the 16th Workshop in Primary and Secondary Computing Education (pp. 1–2). Association for Computing Machinery. https://​doi.​org/​10.​1145/​3481312.​3481328
Zurück zum Zitat Lane, D. (2021). Machine learning for kids: A project-based introduction to artificial intelligence. No Starch Press. Lane, D. (2021). Machine learning for kids: A project-based introduction to artificial intelligence. No Starch Press.
Zurück zum Zitat Lin, P., & Van Brummelen, J. (2021). Engaging teachers to co-design integrated AI curriculum for K-12 classrooms. In Y. Kitamura, A. J. Quigley, K. Isbister, T. Igarashi, P. Bjorn, & S. Drunker (Eds.), Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1–12). Association for Computing Machinery. https://doi.org/10.1145/3411764.3445377 Lin, P., & Van Brummelen, J. (2021). Engaging teachers to co-design integrated AI curriculum for K-12 classrooms. In Y. Kitamura, A. J. Quigley, K. Isbister, T. Igarashi, P. Bjorn, & S. Drunker (Eds.), Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1–12). Association for Computing Machinery. https://​doi.​org/​10.​1145/​3411764.​3445377
Zurück zum Zitat Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage publications.CrossRef Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage publications.CrossRef
Zurück zum Zitat Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In R. Bernhaupt, F. F. Muller, D. Verweij & J. Andres (Eds.), Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727 Long, D., & Magerko, B. (2020). What is AI literacy? Competencies and design considerations. In R. Bernhaupt, F. F. Muller, D. Verweij & J. Andres (Eds.), Proceedings of the 2020 CHI conference on human factors in computing systems (pp. 1–16). Association for Computing Machinery. https://​doi.​org/​10.​1145/​3313831.​3376727
Zurück zum Zitat Marx, E., Leonhardt, T., Baberowski, D., & Bergner, N. (2022). Using matchboxes to teach the basics of machine learning: An analysis of (possible) misconceptions. In Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop (pp. 25–29). PMLR. https://proceedings.mlr.press/v170/marx22a Marx, E., Leonhardt, T., Baberowski, D., & Bergner, N. (2022). Using matchboxes to teach the basics of machine learning: An analysis of (possible) misconceptions. In Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop (pp. 25–29). PMLR. https://​proceedings.​mlr.​press/​v170/​marx22a
Zurück zum Zitat Maxwell, J. A. (2013). Qualitative research design: An interactive approach. Sage Publications. Maxwell, J. A. (2013). Qualitative research design: An interactive approach. Sage Publications.
Zurück zum Zitat McDermott, L. C., & Shaffer, P. S. (1992). Research as a guide for curriculum development: An example from introductory electricity. Part I: Investigation of student understanding. American journal of physics, 60(11), 994–1003. https://doi.org/10.1119/1.17003CrossRef McDermott, L. C., & Shaffer, P. S. (1992). Research as a guide for curriculum development: An example from introductory electricity. Part I: Investigation of student understanding. American journal of physics, 60(11), 994–1003. https://​doi.​org/​10.​1119/​1.​17003CrossRef
Zurück zum Zitat Mertala, P., Fagerlund, J., & Calderon, O. (2022). Finnish 5th and 6th-grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education. Computers and Education: Artificial Intelligence, 100095. https://doi.org/10.1016/j.caeai.2022.100095 Mertala, P., Fagerlund, J., & Calderon, O. (2022). Finnish 5th and 6th-grade students' pre-instructional conceptions of artificial intelligence (AI) and their implications for AI literacy education. Computers and Education: Artificial Intelligence, 100095. https://​doi.​org/​10.​1016/​j.​caeai.​2022.​100095
Zurück zum Zitat Morrison, G. R., Ross, S. J., Morrison, J. R., & Kalman, H. K. (2019). Designing effective instruction. John Wiley & Sons. Morrison, G. R., Ross, S. J., Morrison, J. R., & Kalman, H. K. (2019). Designing effective instruction. John Wiley & Sons.
Zurück zum Zitat Nagarajan, A., Minces, V., Anu, V., Gopalasamy, V., & Bhavani, R. R. (2020). There's data all around you: Improving data literacy in high schools through STEAM-based activities. In Proceedings of Fablearn Asia 2020 (pp. 17–20). The Association for Computing Machinery. https://par.nsf.gov/biblio/10166600 Nagarajan, A., Minces, V., Anu, V., Gopalasamy, V., & Bhavani, R. R. (2020). There's data all around you: Improving data literacy in high schools through STEAM-based activities. In Proceedings of Fablearn Asia 2020 (pp. 17–20). The Association for Computing Machinery. https://​par.​nsf.​gov/​biblio/​10166600
Zurück zum Zitat Nathan, M. J. (2021). Foundations of embodied learning: A paradigm for education. Routledge.CrossRef Nathan, M. J. (2021). Foundations of embodied learning: A paradigm for education. Routledge.CrossRef
Zurück zum Zitat Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C. E., Scribner, A., Lee, S., Mott, B., & Lester, J. (2022). Lessons Learned for AI Education with Elementary Students and Teachers. International Journal of Artificial Intelligence in Education, 1–23. https://doi.org/10.1007/s40593-022-00304-3 Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C. E., Scribner, A., Lee, S., Mott, B., & Lester, J. (2022). Lessons Learned for AI Education with Elementary Students and Teachers. International Journal of Artificial Intelligence in Education, 1–23. https://​doi.​org/​10.​1007/​s40593-022-00304-3
Zurück zum Zitat Porter, L., Bailey Lee, C., & Simon, B. (2013). Halving fail rates using peer instruction: a study of four computer science courses. In Proceedings of the 44th ACM technical symposium on Computer science education (pp. 177–182). Association for Computing Machinery. https://doi.org/10.1145/2445196.2445250 Porter, L., Bailey Lee, C., & Simon, B. (2013). Halving fail rates using peer instruction: a study of four computer science courses. In Proceedings of the 44th ACM technical symposium on Computer science education (pp. 177–182). Association for Computing Machinery. https://​doi.​org/​10.​1145/​2445196.​2445250
Zurück zum Zitat Sabuncuoglu, A. (2020). Designing a one-year curriculum to teach artificial intelligence for middle school. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. 96–102). Association for Computing Machinery. https://doi.org/10.1145/3341525.3387364 Sabuncuoglu, A. (2020). Designing a one-year curriculum to teach artificial intelligence for middle school. In Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education (pp. 96–102). Association for Computing Machinery. https://​doi.​org/​10.​1145/​3341525.​3387364
Zurück zum Zitat Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). Sage publications. Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). Sage publications.
Zurück zum Zitat Samsudin, A., Afif, N. F., Nugraha, M. G., Suhandi, A., Fratiwi, N. J., Aminudin, A. H., Adimayuda, R., Linuwih, S., & Costu, B. (2021). Reconstructing students’ misconceptions on work and energy through the PDEODE* E tasks with think-pair-share. Journal of Turkish Science Education, 18(1), 118–144. https://doi.org/10.36681/tused.2021.56CrossRef Samsudin, A., Afif, N. F., Nugraha, M. G., Suhandi, A., Fratiwi, N. J., Aminudin, A. H., Adimayuda, R., Linuwih, S., & Costu, B. (2021). Reconstructing students’ misconceptions on work and energy through the PDEODE* E tasks with think-pair-share. Journal of Turkish Science Education, 18(1), 118–144. https://​doi.​org/​10.​36681/​tused.​2021.​56CrossRef
Zurück zum Zitat Schwanenflugel, P. J. (1991). Why are abstract concepts hard to understand? In P. J. Schwanenflugel (Ed.), The psychology of word meanings (pp. 235–262). Psychology Press. Schwanenflugel, P. J. (1991). Why are abstract concepts hard to understand? In P. J. Schwanenflugel (Ed.), The psychology of word meanings (pp. 235–262). Psychology Press.
Zurück zum Zitat Simon, B., Kohanfars, M., Lee, J., Tamayo, K., & Cutts, Q. (2010). Experience report: peer instruction in introductory computing. In Proceedings of the 41st ACM technical symposium on Computer science education (pp. 341–345). Association of Computing and Machinery. https://doi.org/10.1145/1734263.1734381 Simon, B., Kohanfars, M., Lee, J., Tamayo, K., & Cutts, Q. (2010). Experience report: peer instruction in introductory computing. In Proceedings of the 41st ACM technical symposium on Computer science education (pp. 341–345). Association of Computing and Machinery. https://​doi.​org/​10.​1145/​1734263.​1734381
Zurück zum Zitat Szczuka, J. M., Strathmann, C., Szymczyk, N., Mavrina, L., & Kramer, N. C. (2022). How do children acquire knowledge about voice assistants? A longitudinal field study on children’s knowledge about how voice assistants store and process data. International Journal of Child-Computer Interaction, 33, 100460. https://doi.org/10.1016/j.ijcci.2022.100460CrossRef Szczuka, J. M., Strathmann, C., Szymczyk, N., Mavrina, L., & Kramer, N. C. (2022). How do children acquire knowledge about voice assistants? A longitudinal field study on children’s knowledge about how voice assistants store and process data. International Journal of Child-Computer Interaction, 33, 100460. https://​doi.​org/​10.​1016/​j.​ijcci.​2022.​100460CrossRef
Zurück zum Zitat Tang, D. (2019). Empowering novices to understand and use machine learning with personalized image classification models, intuitive analysis tools, and MIT App Inventor (Doctoral dissertation, Massachusetts Institute of Technology). Tang, D. (2019). Empowering novices to understand and use machine learning with personalized image classification models, intuitive analysis tools, and MIT App Inventor (Doctoral dissertation, Massachusetts Institute of Technology).
Zurück zum Zitat Taylor, A. K., & Kowalski, P. (2014). Student misconceptions: Where do they come from and what can we do? In V. A. Benassi, C. E. Overson, & C. M. Hakala (Eds.), Applying the science of learning in education: Infusing psychological science into the curriculum (pp. 259–273). Society for the Teaching of Psychology. Taylor, A. K., & Kowalski, P. (2014). Student misconceptions: Where do they come from and what can we do? In V. A. Benassi, C. E. Overson, & C. M. Hakala (Eds.), Applying the science of learning in education: Infusing psychological science into the curriculum (pp. 259–273). Society for the Teaching of Psychology.
Zurück zum Zitat Touretzky, D., & Gardner-McCune, C. (2022). Artificial Intelligence Thinking in K-12. In S. C. Kong & H. Abelson (Eds.), (2022) Computational thinking education in K-12: Artificial intelligence literacy and physical computing (pp. 153–180). MIT Press.CrossRef Touretzky, D., & Gardner-McCune, C. (2022). Artificial Intelligence Thinking in K-12. In S. C. Kong & H. Abelson (Eds.), (2022) Computational thinking education in K-12: Artificial intelligence literacy and physical computing (pp. 153–180). MIT Press.CrossRef
Zurück zum Zitat Wang, D., Zhang, L., Xu, C., Hu, H., & Qi, Y. (2016). A tangible embedded programming system to convey event-handling concept. Proceedings of the TEI ’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, Eindhoven, Netherlands. https://doi.org/10.1145/2839462.2839491 Wang, D., Zhang, L., Xu, C., Hu, H., & Qi, Y. (2016). A tangible embedded programming system to convey event-handling concept. Proceedings of the TEI ’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, Eindhoven, Netherlands. https://​doi.​org/​10.​1145/​2839462.​2839491
Zurück zum Zitat Williams, M., & Moser, T. (2019). The art of coding and thematic exploration in qualitative research. International Management Review, 15(1), 45–55. Williams, M., & Moser, T. (2019). The art of coding and thematic exploration in qualitative research. International Management Review, 15(1), 45–55.
Zurück zum Zitat Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). A 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), 1–27. https://doi.org/10.1186/s41239-019-0171-0CrossRef Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). A 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), 1–27. https://​doi.​org/​10.​1186/​s41239-019-0171-0CrossRef
Zurück zum Zitat Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 1–35. https://doi.org/10.1007/s40593-022-00293-3 Zhang, H., Lee, I., Ali, S., DiPaola, D., Cheng, Y., & Breazeal, C. (2022). Integrating ethics and career futures with technical learning to promote AI literacy for middle school students: An exploratory study. International Journal of Artificial Intelligence in Education, 1–35. https://​doi.​org/​10.​1007/​s40593-022-00293-3
Metadaten
Titel
Exploring middle school students’ common naive conceptions of Artificial Intelligence concepts, and the evolution of these ideas
verfasst von
Keunjae Kim
Kyungbin Kwon
Anne Ottenbreit-Leftwich
Haesol Bae
Krista Glazewski
Publikationsdatum
18.01.2023
Verlag
Springer US
Erschienen in
Education and Information Technologies / Ausgabe 8/2023
Print ISSN: 1360-2357
Elektronische ISSN: 1573-7608
DOI
https://doi.org/10.1007/s10639-023-11600-3

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