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library instruction in elementary schools, Comput Educ, 59, 638, 10.1016\u002Fj.compedu.2012.03.001\nWeeks, 2021, Harnessing augmented reality and ct to teach first-year medical students head and neck anatomy, Acad Radiol, 28, 871, 10.1016\u002Fj.acra.2020.07.008",{"EN":111},"A critical outlook at augmented reality and its adoption in education",{"VOID":113},"10.1016\u002Fj.caeo.2022.100103","PUBLICATION","VERIFIED","Auto 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(2012a). Augmented reality in the science museum: lessons learned in scaffolding for conceptual and cognitive learning. CELDA 2012. 205–12.\nYoon, 2012, (2012b). 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Kardgar, A systematic review of studies on educational robotics, 2019.\nRibeiro, 2020, Learning robotics: a review, Current Robot Rep, 10.1007\u002Fs43154-020-00002-9\nZhong, 2020, Can pair learning improve students’ troubleshooting performance in robotics education?, J Educ Comput Res, 10.1177\u002F0735633119829191\nKarim, 2015, A review: can robots reshape k-12 stem education?, 1\nVrochidou, 2018, Social robot NAO as a self-regulating didactic mediator: a case study of teaching\u002Flearning numeracy\nDavison, 2019, Designing a social robot to support children's inquiry learning: a contextual analysis of children working together at school, Int J Soc Robot\nKong, 2019, Nurture interest-driven creators in programmable robotics education: an empirical investigation in primary school settings, Res Pract Technol Enhanced Learn, 10.1186\u002Fs41039-019-0116-1\nGiang, 2019, Heuristics for the development and evaluation of educational robotics systems, IEEE Trans Educ, 10.1109\u002FTE.2019.2912351\nAngeli, 2020, Developing young children's computational thinking with educational robotics: an interaction effect between gender and scaffolding strategy, Comput Human Behav, 10.1016\u002Fj.chb.2019.03.018\nMunõz, 2020, Developing an interactive environment through the teaching of mathematics with small robots, Sensors (Switzerland)\nSuenaga, 2020, Development of a web-based education system for deep reinforcement learning-based autonomous mobile robot navigation in real world, 1040\nChen, 2020, Augmented reality and competition in robotics education: effects on 21st century competencies, group collaboration and learning motivation, J Comput Assist Learn, 10.1111\u002Fjcal.12469\nGorjup, 2020, A low-cost, open-source, robotic airship for education and research, IEEE Access, 8, 70713, 10.1109\u002FACCESS.2020.2986772\nPerez, 2015, A new didactic method for programming in c for freshmen students using lego mindstorms ev3, 911\nBarnes, 2017, Robot theater with children for steam education, volume 61, 875\nSchranz, 2020, Swarm robotic behaviors and current applications, Front Robot AI, 7, 36, 10.3389\u002Ffrobt.2020.00036\nMcLurkin, 2012, Using multi-robot systems for engineering education: teaching and outreach with large numbers of an advanced, low-cost robot, IEEE Trans Educ, 56, 24, 10.1109\u002FTE.2012.2222646\nDoddo, 2017, Board# 121: maker: a study of multi-robot systems recreated for high school students\nVitanza, 2019, Robot swarms as an educational tool: the thymio's way, Int J Adv Robot Syst, 16, 10.1177\u002F1729881418825186\nRubenstein, 2012, Kilobot: a low cost scalable robot system for collective behaviors, 3293\nArvin, 2014, Colias: an autonomous micro robot for swarm robotic applications, Int J Adv Robot Syst, 11, 113, 10.5772\u002F58730\nMondada, 2009, The e-puck, a robot designed for education in engineering, volume 1, 59\nKernbach, 2009, Re-embodiment of honeybee aggregation behavior in an artificial micro-robotic system, Adapt Behav, 17, 237, 10.1177\u002F1059712309104966\nArvin, 2019, Mona: an affordable open-source mobile robot for education and research, J Intell Robot Syst: Theory Appl, 94, 761, 10.1007\u002Fs10846-018-0866-9\nE. Vrochidou, M. Manios, G.A. Papakostas, C.N. Aitsidis, F. Panagiotopoulos, Open-source robotics: investigation on existing platforms and their application in education.\nMondada, 2004, Swarmbot: a new distributed robotic concept, Auton Robots, 17, 193, 10.1023\u002FB:AURO.0000033972.50769.1c\nDorigo, 2004, Evolving self-organizing behaviors for a swarm-bot, Auton Robots, 17, 223, 10.1023\u002FB:AURO.0000033973.24945.f3\nTrianni, 2008, 108\nElmenreich, 2009, A survey of models and design methods for self-organizing networked systems, 37\nRiedo, 2013, Thymio ii, a robot that grows wiser with children, 187\nS.M. Ackerman, G.M. Fricke, J.P. Hecker, K.M. Hamed, S.R. Fowler, A.D. Griego, J.C. Jones, J.J. Nichol, K.W. Leucht, M.E. 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goal-framing and need-supportive app on undergraduates’ intentions, effort, and achievement in mobile science learning, Computers & Education, 159, 10.1016\u002Fj.compedu.2020.104022\nMayer, 2020, Where is the learning in mobile technologies for learning?, Contemp Educ Psychol, 60, 1, 10.1016\u002Fj.cedpsych.2019.101824\nCrompton, 2018, The use of mobile learning in higher education: a systematic review, Comput Educ, 123, 53, 10.1016\u002Fj.compedu.2018.04.007\nSophonhiranrak, 2021, Features, barriers, and influencing factors of mobile learning in higher education: a systematic review, Heliyon, 7, 10.1016\u002Fj.heliyon.2021.e06696\nGüler, 2021, A meta-analysis of the impact of mobile learning on mathematics achievement, Education and Information Technologies\nKates, 2018, The effects of mobile phone use on academic performance: a meta-analysis, Comput Educ, 127, 107, 10.1016\u002Fj.compedu.2018.08.012\nAmez, 2020, Smartphone use and academic performance: a literature review, Int J 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Part 3: sampling, data collection and analysis, European Journal of General Practice, 24, 9, 10.1080\u002F13814788.2017.1375091\nBraun, 2006, Using thematic analysis in psychology, Qual Res Psychol, 3, 77, 10.1191\u002F1478088706qp063oa\nMortelmans, 2019, Analyzing Qualitative Data Using NVivo, 435\nBraun, 2020, One size fits all? What counts as quality practice in (reflexive) thematic analysis?, Qual Res Psychol, 1\nKorstjens, 2018, Series: practical guidance to qualitative research. 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Theory Pract., 6, 1\nBonney, 2016, Can citizen science enhance public understanding of science?, Public Understand Sci, 25, 2, 10.1177\u002F0963662515607406\nBallard, 2017, Youth-focused citizen science: examining the role of environmental science learning and agency for conservation, BiolConserv, 208, 65\nLewis, 2021, Measuring science skills development in new zealand high school students after participation in citizen science using a DEVISE evaluation scale, N Z J Educ Stud, 56, 101, 10.1007\u002Fs40841-021-00192-6\nPhillips, 2018, A framework for articulating and measuring individual learning outcomes from participation in citizen science, Citizen Sci, 3, 3\nBethlehem, 2010, Selection bias in web surveys, Int Stat Rev, 78, 161, 10.1111\u002Fj.1751-5823.2010.00112.x\nPhillips, 2019, Engagement in science through citizen science: moving beyond data collection, Sci Educ, 103, 665, 10.1002\u002Fsce.21501\nSchaefer, 2021, Evaluation in citizen science: the art of tracing a moving target, 487\nNguyen, 2014, What is reflection? 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A multimodal critical discourse analysis of Microsoft Word and SmartArt, J Lang Polit, 15, 259, 10.1075\u002Fjlp.15.3.02kva\nAdami, 2014, What's in a click? 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(2008). Towards a theory of online learning. In T. Anderson (Ed.), The theory and practice of online learning (2nd editor, pp. 45–74). Edmonton, Canada: AU Press. https:\u002F\u002Fauspace.athabascau.ca\u002Fbitstream\u002Fhandle\u002F2149\u002F757\u002Ftoward_a_theory_of.pdf?sequence=3.\nArbaugh, 2007, The importance of participant interaction in online environments, Decis Support Syst, 43, 853, 10.1016\u002Fj.dss.2006.12.013\nBaker, 1999, Teacher-student interaction in urban at-risk classrooms: differential behavior, relationship quality, and student satisfaction with school, Elem Sch J, 100, 10.1086\u002F461943\nBarrows, 2019, Do charters pose a threat to private schools? Evidence from nationally representative surveys of US parents, J Sch Choice, 13, 10, 10.1080\u002F15582159.2018.1547589\nBorup, 2013, The nature of adolescent learner interaction in a virtual high school setting, J Comp Assisted Learn, 29, 153, 10.1111\u002Fj.1365-2729.2012.00479.x\nBradshaw, 2010, Examining the effects of schoolwide positive behavioral interventions and supports on student outcomes: results from a randomized controlled effectiveness trial in elementary schools, J Posit Behav Interv, 12, 133, 10.1177\u002F1098300709334798\nBurns, 2004, Using curriculum-based assessment in the responsiveness to intervention diagnostic model for learning disabilities, Assessment Effect Intervent, 29, 47, 10.1177\u002F073724770402900304\nCecchini, 2021, High versus low-structured cooperative learning. Effects on prospective teachers’ regulation dominance, motivation, content knowledge and responsibility, Europ J Teacher Educ, 44, 486, 10.1080\u002F02619768.2020.1774548\nChandler, 2015\nClark, 2001\nConnections Academy. (2016). School handbook general portion, 2016-2016. https:\u002F\u002Fwww.connectionsacademy.com\u002FPortals\u002F4\u002Fca\u002Fdocuments\u002Fpdfs\u002FCA-General-Handbook-SY-1516-Updated-063015.pdf.\nCorrigan, 2012, Wearing more than one hat: improving student-authored case longevity while encouraging additional student roles, Mark Educ Rev, 22, 33\nDias, 2020, DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era, Sci Rep, 10, 1, 10.1038\u002Fs41598-020-76740-9\nErickson, 2017, How do parents choose schools, and what schools do they choose? 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