Investigating learners’ competencies for artificial intelligence education in an African K-12 setting
Tài liệu tham khảo
Akor, 2019, Engineering and related Programs’ teaching methods in Nigeria, Int J Recent Technol Eng (IJRTE), 1279, 10.35940/ijrte.B1915.078219
Ali, 2019, Constructionism, ethics, and creativity: developing primary and middle school artificial intelligence education, 1
Awuor, 2022, Teamwork competency and satisfaction in online group project-based engineering course: The cross-level moderating effect of collective efficacy and flipped instruction, Comput Educ, 176, 10.1016/j.compedu.2021.104357
Bozkurt, 2021, Artificial intelligence and reflections from educational landscape: a review of AI studies in half a century, Sustainability, 13, 800, 10.3390/su13020800
Bron, 2014, Kunnen leerlingen in het VO een rol spelen in het bepalen van hun leerplan? [Can students in secondary education be involved in the establishment of their curriculum], Pedagogiek, 34, 25, 10.5117/PED2014.1.BRON
Bron, 2014, Why we need to involve our students in curriculum design: Five arguments for student voice, Curricul Teach Dial, 16, 125
Burgsteiner, 2016, IRobot: Teaching the basics of artificial intelligence in high schools, 4126
Carlson, 2012, Understanding the impact of convergent validity on research results, Org Res Method, 15, 17, 10.1177/1094428110392383
Carney, 2020, Teachable machine: approachable Web-based tool for exploring machine learning classification, 1
Cebrián, 2020, Competencies in education for sustainable development: emerging teaching and research developments, Sustainability, 12, 579, 10.3390/su12020579
Chai, 2020, Factors influencing Students' behavioral intention to continue artificial intelligence learning, 147
Chin, 1998, The partial least squares approach to structural equation modeling, Modern Method Bus Res, 295, 295
Chiu, 2021, A holistic approach to the design of Artificial Intelligence (AI) Education for K-12 Schools, TechTrends, 1
Cohen, 1998
Conde, 2019, Analyzing students’ WhatsApp messages to evaluate the individual acquisition of teamwork competence, 26
Dixon, 2019, Developing STEM identity of Nez perce students: identifying entry-level competencies for forestry and fire management, J Res Tech Careers, 3, 13, 10.9741/2578-2118.1045
Dixon, 2021, Identifying essential fisheries competencies to link to school curriculum: supporting Nez perce Students’ STEM identity, J Res Tech Careers, 5, 66, 10.9741/2578-2118.1097
Dong, 2021, Preservice teachers’ beliefs about young children's technology use at home, Teach Teacher Educ, 102
Eguchi, 2021, Contextualizing AI education for K-12 students to enhance their learning of AI literacy through culturally responsive approaches, Kunstliche intelligenz, 1
Estevez, 2019, Gentle introduction to artificial intelligence for high-school students using scratch, IEEE access, 7, 179027, 10.1109/ACCESS.2019.2956136
Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J Market Res, 18, 39, 10.1177/002224378101800104
Frezza, 2018, Modelling competencies for computing education beyond 2020: a research-based approach to defining competencies in the computing disciplines, 148
Goldsmith, 2017, Why teaching ethics to AI practitioners is important, 4836
Gwagwa, 2020, Artificial intelligence (AI) deployments in Africa: Benefits, challenges and policy dimensions, Afric J Inf Commun (AJIC), 26, 1
Han, 2018, Design of AI+ curriculum for primary and secondary schools in Qingdao, 4135
Heinze, 2010, An action research report from a multi-year approach to teaching artificial intelligence at the k-6 level
Hitron, 2019, Can children understand machine learning concepts? The effect of uncovering black boxes, 1
Hitron, 2018, Introducing children to machine learning concepts through hands-on experience, 563
Ho, 2019, Classroom Activities for Teaching Artificial Intelligence to Primary School Students, CoolThink@ JC, 157
Huang, 2021, Aims for cultivating students’ key competencies based on artificial intelligence education in China, Educ Inf Technol, 1
Jarrahi, 2018, Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making, Bus Horiz, 61, 577, 10.1016/j.bushor.2018.03.007
Kandlhofer, 2016, Artificial intelligence and computer science in education: From kindergarten to university, 1
Kim, 2022, Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education, Educ Inf Technol, 1
Kim, 2021, Why and what to teach: AI curriculum for elementary school, 35, 15569
Kock, 2013, Using WarpPLS in e-collaboration studies: What if I have only one group and one condition?, Int J e-Collaborat (IJeC), 9, 1, 10.4018/jec.2013070101
Kock, 2014, Advanced mediating effects tests, multi-group analyses, and measurement model assessments in PLS-based SEM, Int J e-Collaborat (IJeC), 10, 1, 10.4018/ijec.2014010101
Kock, 2016, Hypothesis testing with confidence intervals and P values in PLS-SEM, Int J e-Collaborat (IJeC), 12, 1, 10.4018/IJeC.2016070101
Kock, 2012, Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations, J Assoc Inf Syst, 13
Kong, 2018, A study of primary school students' interest, collaboration attitude, and programming empowerment in computational thinking education, Comput Educ, 127, 178, 10.1016/j.compedu.2018.08.026
Kriek, 2008, Implementation of the new FET Physical Sciences curriculum: teachers' perspectives, Afric J Res Math Sci Technol Educ, 12, 63, 10.1080/10288457.2008.10740642
Lee, 2021, AI-infused collaborative inquiry in upper elementary school: a game-based learning approach, 35, 15591
Letina, 2020, Development of students’ learning to learn competence in primary science, Education Sciences, 10, 325, 10.3390/educsci10110325
Lin, 2021, Engaging teachers to Co-Design integrated AI curriculum for K-12 classrooms, 1
Lin, 2020, Zhorai: designing a conversational agent for children to explore machine learning concepts, 34, 13381
Lindner, 2019, Unplugged activities in the context of AI, 123
Long, 2020, What is AI literacy? Competencies and design considerations, 1
Mariescu-Istodor, 2019, Machine learning for high school students, 9
Marques, 2020, Teaching machine learning in school: a systematic mapping of the state of the art, Inf Educ, 19, 283
Martens, 2019, Student participation in the design of learning and teaching: Disentangling the terminology and approaches, Med Teach, 41, 1203, 10.1080/0142159X.2019.1615610
Martinková, 2020, Is academic tracking related to gains in learning competence? Using propensity score matching and differential item change functioning analysis for better understanding of tracking implications, Learn Instr, 66, 10.1016/j.learninstruc.2019.101286
Moqbel, 2020, Testing mediation via indirect effects in PLS-SEM: A social networking site illustration, Data Analysis Perspectives Journal, 1, 1
Muukkonen, 2020, Assessing the development of collaborative knowledge work competence: Scales for higher education course contexts, Scand J Educ Res, 64, 1071, 10.1080/00313831.2019.1647284
Nadal, 2015, Assessing teamwork competence, Psicothema, 27, 354
Nijhuis, 2019, Culturally sensitive curriculum development, Collaborat Curricul Design Sustain Innovat Teacher Learn, 83, 10.1007/978-3-030-20062-6_5
Nyhan, 1991
2003
Ottenbreit-Leftwich, 2021, How do elementary students conceptualize artificial intelligence?, 1261
Oxford Insights, & International Development Research Centre (IDRC). (2019). Government artificial intelligence readiness index 2019. https://www.oxfordinsights.com/ai-readiness2019.
Payne, 2019, An ethics of artificial intelligence curriculum for middle school students, MIT Media Lab—AI Educ
Pietarinen, 2017, Large-scale curriculum reform in Finland–exploring the interrelation between implementation strategy, the function of the reform, and curriculum coherence, Curricul J, 28, 22, 10.1080/09585176.2016.1179205
Prosekov, 2020, A case study of developing research competency in university students, Eur J Contemp Educ, 9, 592
Ramnarain, 2013, South African physical sciences teachers’ perceptions of new content in a revised curriculum, South Afric J Educ, 33
Rodríguez-García, 2020, Introducing artificial intelligence fundamentals with LearningML: artificial intelligence made easy, 18
Rodríguez-García, 2021, Evaluation of an Online Intervention to Teach Artificial Intelligence with LearningML to 10-16-Year-Old Students, 177
Sabuncuoglu, 2020, Designing one year curriculum to teach artificial intelligence for middle school, 96
Sakulkueakulsuk, 2018, Kids making AI: Integrating machine learning, gamification, and social context in STEM education, 1005
Sanusi, 2021, Intercontinental evidence on learners’ differentials in sense-making of machine learning in schools, 2021, 1
Sanusi, 2021, Teaching Machine Learning in K-12 Education, 395
Sanusi, 2021, Exploring teachers’ preconceptions of teaching machine learning in high school: a preliminary insight from Africa, Comput Educ Open
Scheidt, 2019, Any-Cubes: a Children's toy for learning AI: enhanced play with deep learning and MQTT, 893
2017, 2017 Global Artificial Intelligence White paper
Thoutenhoofd, 2015, From self-regulation to learning to learn: observations on the construction of self and learning, Brit Educ Res J, 41, 72, 10.1002/berj.3128
Torrelles, 2011, Teamwork competence: definition and categorization, Profesorado, Revista de Curriculum y Formación del Profesorado, 15, 329
Touretzky, 2019, Envisioning AI for K-12: What should every child know about AI?, 33, 9795
UNESCO (2021). International forum on AI and education: ensuring AI as a common good to transform education. Virtual event on 7-8 December 2021. Retrieved on 20.12.2021 from https://aiedforum.org/#/home and https://aiedforum.org/#/videos.
Vartiainen, 2020, Learning machine learning with very young children: Who is teaching whom?, Int J Child-Comput Interact, 25, 10.1016/j.ijcci.2020.100182
Vettori, 2021
von Wangenheim, 2021, Visual tools for teaching machine learning in K-12: a ten-year systematic mapping, Educ Inf Technol, 1
von Wangenheim, 2020, Machine learning for all–introducing machine learning in K-12, SocArXiv
Wanless, 2015, Taiwanese preschool and elementary teacher's beliefs about discipline, students, and teaching practices, Int J School Cognit Psychol, 2, 134
Wetzels, 2009, Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS Q, 177, 10.2307/20650284
Wiek, 2011, Key competencies in sustainability: a reference framework for academic program development, Sustain Sci, 6, 203, 10.1007/s11625-011-0132-6
Williams, 2019, Popbots: Designing an artificial intelligence curriculum for early childhood education, 33, 9729
Yilmaz, 2020, Prospective mathematics teachers' cognitive competencies on realistic mathematics education, J Math Educ, 11, 17, 10.22342/jme.11.1.8690.17-44
Guenole, N., Lamb, C. and Feinzig, S. (2018). Competencies in the AI era. IBM Corporation, Armonk, NY 10504, USA. Retrieved on December 19, 2021 from https://www.ibm.com/downloads/cas/ONNXK64Y.
