Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills
暂无分享,去创建一个
[1] Petri Ihantola,et al. A mobile learning application for parsons problems with automatic feedback , 2012, Koli Calling.
[2] Ivica Boticki,et al. Teaching and learning computer science sorting algorithms with mobile devices: A case study , 2013, Comput. Appl. Eng. Educ..
[3] Antonija Mitrovic,et al. Learning with Engaging Activities via a Mobile Python Tutor , 2017, AIED.
[4] Nick Cheng,et al. Tracing vs. Writing Code: Beyond the Learning Hierarchy , 2018, SIGCSE.
[5] Judy Perry,et al. UbiqBio: Adoptions and Outcomes of Mobile Biology Games in the Ecology of School , 2014 .
[6] Robert Ramberg,et al. Learning with or without mobile devices? A comparison of traditional school field trips and inquiry-based mobile learning activities , 2014 .
[7] David J. McArthur,et al. Skill-oriented task sequencing in an intelligent tutor for basic algebra , 1988 .
[8] Patricia Haden,et al. Parson's programming puzzles: a fun and effective learning tool for first programming courses , 2006 .
[9] Peter Lonsdale,et al. MOBIlearn WP 4 - PEDAGOGICAL METHODOLOGIES AND PARADIGMS (UON, UOB, OU) Guidelines for learning/teaching/tutoring in a mobile environment , 2005 .
[10] Daner Sun,et al. Focusing a mobile science learning process: difference in activity participation , 2016, Res. Pract. Technol. Enhanc. Learn..
[11] Colin J. Fidge,et al. Further evidence of a relationship between explaining, tracing and writing skills in introductory programming , 2009, ITiCSE.
[12] Junfei Zhang,et al. Design of a Microlecture Mobile Learning System Based on Smartphone and Web Platforms , 2015, IEEE Transactions on Education.
[13] Tobias Lauer,et al. A study of algorithm animations on mobile devices , 2007, SIGCSE.
[14] He Young Kim,et al. Exploring Smartphone Applications for Effective Mobile-Assisted Language Learning , 2012 .
[15] Tzu-Chien Liu,et al. Split-attention and redundancy effects on mobile learning in physical environments , 2012, Comput. Educ..
[16] Roy D. Pea,et al. WILD for learning: Interacting through new computing devices anytime, anywhere , 2006 .
[17] Y.-H. Wang,et al. Could a mobile-assisted learning system support flipped classrooms for classical Chinese learning? , 2016, J. Comput. Assist. Learn..
[18] Minjuan Wang,et al. The impact of mobile learning on students' learning behaviours and performance: Report from a large blended classroom , 2009, Br. J. Educ. Technol..
[19] Errol Thompson,et al. Bloom's taxonomy for CS assessment , 2008, ACE '08.
[20] Roy D. Pea,et al. Language-Independent Conceptual “Bugs” in Novice Programming , 1986 .
[21] ListerRaymond,et al. Further evidence of a relationship between explaining, tracing and writing skills in introductory programming , 2009 .
[22] Antonija Mitrovic,et al. Investigating the Effectiveness of Menu-Based Self-explanation Prompts in a Mobile Python Tutor , 2017, AIED.
[23] Anne Venables,et al. A closer look at tracing, explaining and code writing skills in the novice programmer , 2009, ICER '09.
[24] SuC-H.,et al. A mobile gamification learning system for improving the learning motivation and achievements , 2015 .
[25] Martin Ebner,et al. It's in your pocket: A MOOC about programming for kids and the role of OER in teaching and learning contexts , 2018 .
[26] Gwo-Jen Hwang,et al. Effects of a peer competition-based mobile learning approach on students' affective domain exhibition in social studies courses , 2016, Br. J. Educ. Technol..
[27] M. Murota,et al. DEVELOPMENT AND EVALUATION OF AN INTERACTIVE ENGLISH CONVERSATION LEARNING SYSTEM WITH A MOBILE DEVICE USING TOPICS BASED ON THE LIFE OF THE LEARNER , 2013 .
[28] Antonija Mitrovic,et al. Adaptive Problem Selection in a Mobile Python Tutor , 2018, UMAP.
[29] Hussein Suleman,et al. Design and Use of Static Scaffolding Techniques to Support Java Programming on a Mobile Phone , 2016, ITiCSE.
[30] Dean Mohamedally,et al. RoboRun: A gamification approach to control flow learning for young students with TouchDevelop , 2013, ArXiv.
[31] Philip J. Guo. Online python tutor: embeddable web-based program visualization for cs education , 2013, SIGCSE '13.
[32] Gill Clough,et al. Mobile learning: Two case studies of supporting inquiry learning in informal and semiformal settings , 2013, Comput. Educ..
[33] J. Lam,et al. Social Media Education: Barriers and Critical Issues , 2015 .
[34] Erkki Sutinen,et al. Design, development, and evaluation of a mobile learning application for computing education , 2017, Education and Information Technologies.
[35] Leon E. Winslow,et al. Programming pedagogy—a psychological overview , 1996, SGCS.
[36] Antonija Mitrovic,et al. A comparison of different types of learning activities in a mobile Python tutor , 2017 .
[37] HigginsColin,et al. An analysis of patterns of debugging among novice computer science students , 2005 .
[38] Jerry Chih-Yuan Sun,et al. GPS sensor-based mobile learning for English: an exploratory study on self-efficacy, self-regulation and student achievement , 2015, Research and Practice in Technology Enhanced Learning.
[39] Petri Ihantola,et al. How to study programming on mobile touch devices: interactive Python code exercises , 2013, Koli Calling '13.
[40] Peter Lonsdale,et al. WP 4 - GUIDELINES FOR LEARNING/TEACHING/TUTORING IN A MOBILE ENVIRONMENT , 2003 .
[41] John R. Anderson. Acquisition of cognitive skill. , 1982 .
[42] Miguel Nussbaum,et al. Scaffolding group explanation and feedback with handheld technology: impact on students’ mathematics learning , 2010 .
[43] Miftachul Huda,et al. Smartphones usage in the classrooms: Learning aid or interference? , 2017, Education and Information Technologies.
[44] Ruth Wylie,et al. The Self-Explanation Principle in Multimedia Learning , 2014 .
[45] Gwo-Jen Hwang,et al. An Inquiry-based Mobile Learning Approach to Enhancing Social Science Learning Effectiveness , 2010, J. Educ. Technol. Soc..
[46] Robert McCartney,et al. Naturally occurring data as research instrument: analyzing examination responses to study the novice programmer , 2010, SGCS.
[47] K V Vinay,et al. SMARTPHONE APPLICATIONS FOR MEDICAL STUDENTS AND PROFESSIONALS , 2013 .
[48] Vivian Hsueh-hua Chen,et al. Ubiquitous games for learning (UbiqGames): Weatherlings, a worked example , 2012, J. Comput. Assist. Learn..
[49] D. Khismatrao,et al. Smartphone, the New Learning Aid amongst Medical Students. , 2017, Journal of clinical and diagnostic research : JCDR.
[50] LauerTobias,et al. A study of algorithm animations on mobile devices , 2007 .
[51] Ivica Boticki,et al. Improving the design of a mCSCL Chinese character forming game with a distributed scaffolding design framework , 2017, Res. Pract. Technol. Enhanc. Learn..
[52] Yeonjeong Park,et al. A Pedagogical Framework for Mobile Learning: Categorizing Educational Applications of Mobile Technologies into Four Types. , 2011 .
[53] Dickson K. W. Chiu,et al. How useful are smartphones for learning? Perceptions and practices of Library and Information Science students from Hong Kong and Japan , 2015, Libr. Hi Tech.
[54] Raymond Lister,et al. Relationships between reading, tracing and writing skills in introductory programming , 2008, ICER '08.
[55] C.-H. Cheng,et al. A mobile gamification learning system for improving the learning motivation and achievements , 2015, J. Comput. Assist. Learn..