Academic literature on the topic 'Computational thinking education'
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Journal articles on the topic "Computational thinking education"
Shute, Valerie J., Chen Sun, and Jodi Asbell-Clarke. "Demystifying computational thinking." Educational Research Review 22 (November 2017): 142–58. http://dx.doi.org/10.1016/j.edurev.2017.09.003.
Full textYadav, Aman, Chris Stephenson, and Hai Hong. "Computational thinking for teacher education." Communications of the ACM 60, no. 4 (March 24, 2017): 55–62. http://dx.doi.org/10.1145/2994591.
Full textPark, Jungho. "Effects of Storytelling Based Software Education on Computational Thinking." Journal of The Korean Association of Information Education 19, no. 1 (March 30, 2015): 57–68. http://dx.doi.org/10.14352/jkaie.2015.19.1.57.
Full textKafai, Yasmin B., and Chris Proctor. "A Revaluation of Computational Thinking in K–12 Education: Moving Toward Computational Literacies." Educational Researcher 51, no. 2 (November 5, 2021): 146–51. http://dx.doi.org/10.3102/0013189x211057904.
Full textKuo, Wei-Chen, and Ting-Chia Hsu. "Learning Computational Thinking Without a Computer: How Computational Participation Happens in a Computational Thinking Board Game." Asia-Pacific Education Researcher 29, no. 1 (September 20, 2019): 67–83. http://dx.doi.org/10.1007/s40299-019-00479-9.
Full textPark, Young-Shin, and James Green. "Bringing Computational Thinking into Science Education." Journal of the Korean earth science society 40, no. 4 (August 30, 2019): 340–52. http://dx.doi.org/10.5467/jkess.2019.40.4.340.
Full textRubinstein, Amir, and Benny Chor. "Computational Thinking in Life Science Education." PLoS Computational Biology 10, no. 11 (November 20, 2014): e1003897. http://dx.doi.org/10.1371/journal.pcbi.1003897.
Full textSwaid, Samar I. "Bringing Computational Thinking to STEM Education." Procedia Manufacturing 3 (2015): 3657–62. http://dx.doi.org/10.1016/j.promfg.2015.07.761.
Full textAngeli, Charoula, and Michail Giannakos. "Computational thinking education: Issues and challenges." Computers in Human Behavior 105 (April 2020): 106185. http://dx.doi.org/10.1016/j.chb.2019.106185.
Full textLi, Yeping, Alan H. Schoenfeld, Andrea A. diSessa, Arthur C. Graesser, Lisa C. Benson, Lyn D. English, and Richard A. Duschl. "On Computational Thinking and STEM Education." Journal for STEM Education Research 3, no. 2 (July 2020): 147–66. http://dx.doi.org/10.1007/s41979-020-00044-w.
Full textDissertations / Theses on the topic "Computational thinking education"
Grgurina, Nataša. "Computational thinking in Dutch secondary education." Universität Potsdam, 2013. http://opus.kobv.de/ubp/volltexte/2013/6455/.
Full textKolodziej, MIchael. "Computational Thinking in Curriculum for Higher Education." Thesis, Pepperdine University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10285666.
Full textComputational Thinking continues to gain popularity and traction within conversations about curriculum development for the 21st century, but little exists in the literature to guide the inclusion of Computational Thinking into curriculum outside of K12. This Delphi study seeks to fill part of the gap in the literature and instantiate conversation in the Higher Education community about the importance of CT as a topic, and how it may be approached formally in curriculum development.
Over 3 rounds of Delphi panel deliberation, several interesting and informative themes emerged related to issues of domain expertise, interdisciplinary collaboration, and ensurance of quality and integrity of computational knowledge, attitudes and practices through curricular initiatives. Additionally, potential solutions and vehicles for delivering strong outcomes are identified and discussed, through the lens of Landscapes of Practice (Wenger, 2014).
Prottsman, Christie Lee Lili. "Computational Thinking and Women in Computer Science." Thesis, University of Oregon, 2011. http://hdl.handle.net/1794/11485.
Full textThough the first computer programmers were female, women currently make up only a quarter of the computing industry. This lack of diversity jeopardizes technical innovation, creativity and profitability. As demand for talented computing professionals grows, both academia and industry are seeking ways to reach out to groups of individuals who are underrepresented in computer science, the largest of which is women. Women are most likely to succeed in computer science when they are introduced to computing concepts as children and are exposed over a long period of time. In this paper I show that computational thinking (the art of abstraction and automation) can be introduced earlier than has been demonstrated before. Building on ideas being developed for the state of California, I have created an entertaining and engaging educational software prototype that makes primary concepts accessible down to the third grade level.
Committee in charge: Michal Young, Chairperson; Joanna Goode, Member
Weese, Joshua Levi. "Bringing computational thinking to K-12 and higher education." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/35430.
Full textDepartment of Computer Science
William H. Hsu
Since the introduction of new curriculum standards at K-12 schools, computational thinking has become a major research area. Creating and delivering content to enhance these skills, as well as evaluation, remain open problems. This work describes different interventions based on the Scratch programming language aimed toward improving student self-efficacy in computer science and computational thinking. These interventions were applied at a STEM outreach program for 5th-9th grade students. Previous experience in STEM-related activities and subjects, as well as student self-efficacy, were surveyed using a developed pre- and post-survey. The impact of these interventions on student performance and confidence, as well as the validity of the instrument are discussed. To complement attitude surveys, a translation of Scratch to Blockly is proposed. This will record student programming behaviors for quantitative analysis of computational thinking in support of student self-efficacy. Outreach work with Kansas Starbase, as well as the Girl Scouts of the USA, is also described and evaluated. A key goal for computational thinking in the past 10 years has been to bring computer science to other disciplines. To test the gap from computer science to STEM, computational thinking exercises were embedded in an electromagnetic fields course. Integrating computation into theory courses in physics has been a curricular need, yet there are many difficulties and obstacles to overcome in integrating with existing curricula and programs. Recommendations from this experimental study are given towards integrating CT into physics a reality. As part of a continuing collaboration with physics, a comprehensive system for automated extraction of assessment data for descriptive analytics and visualization is also described.
Smith, Kimberly S. M. (Kimberly Ann) Massachusetts Institute of Technology. "New materials for teaching computational thinking in early childhood education." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112546.
Full textCataloged from PDF version of thesis. Page 104 blank.
Includes bibliographical references (pages 100-103).
The need for computer science education is greater than ever. There are currently over 500,000 unfilled computer science jobs in the United States and many schools do not teach computer science in their classrooms. Computers are powerful tools, and computational thinking-skills of problem-solving, logic, and abstraction that form the foundation of computer science-can be applied across other disciplines. Many current approaches to computer science education use computer screens. Though computer science education is important and effective from a young age, the American Academy of Pediatrics recommends we limit screen time in children; and research shows that excessive screen time is detrimental for a child's development. A 2006 research study by Angeline Lillard published in Science showed that Montessori students scored higher on academic, cognitive, social, and behavioral tests than students in a traditional elementary school setting. The Montessori Method is characterized by mixed-age classrooms, child-driven learning, and a series of sensorial, physical materials. Developed nearly 100 years ago by Dr. Maria Montessori, the Montessori curriculum does not explicitly include computer science in its curriculum. This research examines the Montessori Method as a way to teach computer science for early childhood education. Interpreting and extending Dr. Montessori's original pedagogy, I have developed a curriculum with new learning materials for young children that breaks down the fundamentals of computational thinking into a set of discrete concepts that are expressed in tactile, hands-on ways. This research evaluates this approach through direct observation and teacher feedback; and suggests the potential for this Method as an effective approach to teach computational concepts to young children.
by Kimberly Smith.
S.M.
Moran, Renee Rice, Laura Robertson, Chih-Che Tai, Karin Keith, Jamie Price, Lori T. Meier, and Huili Hong. "Preparing Pre-Service Teachers for the Future: Computational Thinking as a Scaffold for Critical Thinking." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etsu-works/5881.
Full textWoods, Charles. "Discourse Indicative of Computational Thinking within a Virtual Community." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1703290/.
Full textPitkänen, K. (Kati). "Learning computational thinking and 21st century skills in the context of Fab Lab." Bachelor's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201706012320.
Full textKim, Victoria Herbst. "Development of an e-Textile Debugging Module to Increase Computational Thinking among Graduate Education Students." Thesis, Pepperdine University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13813742.
Full textThe increased presence of technology in all aspects of daily life makes computational thinking a necessary skill. Predictions say that the rising need for computational thinkers will be unmet by computer science graduates. An e-textile learning module, based on principles of constructionism, was designed as a method to develop computational thinking skills and encourage interest and confidence in the computing fields in both male and female graduate education students. The module leveraged the affordances of the LilyPad Arduino, a technology that allows for the creation of projects that integrate textiles and electronics without soldering. The creation of the learning module relied on design-based research methodologies and followed the use-modify-create principle for the included activities. Multiple data sources were analyzed using The Computational Thinking Rubric for Examining Students’ Project Work to examine artifacts and interactions for indications of computational thinking concepts, practices, and perspectives. Students participated in debugging activities and created their own projects as part of the learning module. Analysis of the learning module activities showed students using computational thinking concepts, engaged in computational thinking practices, and exhibiting computational thinking perspectives. During the coding process, several new computational thinking concepts, practices, and perspectives emerged. There was evidence of both an increase and decrease in confidence among the student participants. Improvements for the next iteration of the learning module were presented and the implications for the study of computational thinking explored. The study helps contradict the shrinking pipeline metaphor by showing that it is possible to encourage interest in computation in university students, not just middle-school students.
Liebe, Christine Lynn. "An Examination of Abstraction in K-12 Computer Science Education." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6728.
Full textBooks on the topic "Computational thinking education"
Kong, Siu-Cheung. Computational Thinking Education. Singapore: Springer Nature, 2019.
Find full textKong, Siu-Cheung, and Harold Abelson, eds. Computational Thinking Education. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6528-7.
Full textYadav, Aman, and Ulf Dalvad Berthelsen. Computational Thinking in Education. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003102991.
Full textMittermeir, Roland T., and Maciej M. Sysło, eds. Informatics Education - Supporting Computational Thinking. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69924-8.
Full textM, Sysło Maciej, and SpringerLink (Online service), eds. Informatics Education - Supporting Computational Thinking: Third International Conference on Informatics in Secondary Schools - Evolution and Perspectives, ISSEP 2008 Torun Poland, July 1-4, 2008 Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.
Find full textAbelson, Harold, and Siu-Cheung Kong. Computational Thinking Education. Saint Philip Street Press, 2020.
Find full textAbelson, Harold, and Siu-Cheung Kong. Computational Thinking Education. Springer, 2019.
Find full textYadav, Aman, and Ulf Dalvad Berthelsen. Computational Thinking in Education. Taylor & Francis Group, 2021.
Find full textYadav, Aman, and Ulf Dalvad Berthelsen. Computational Thinking in Education. Taylor & Francis Group, 2021.
Find full textMaciej M. Syslo,Roland Mittermeir. Informatics Education - Supporting Computational Thinking. Springer, 2008.
Find full textBook chapters on the topic "Computational thinking education"
Tedre, Matti, and Peter J. Denning. "Computational Thinking." In Computational Thinking in Education, 1–17. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003102991-1.
Full textSrinivasa, K. G., Muralidhar Kurni, and Kuppala Saritha. "Computational Thinking." In Springer Texts in Education, 117–46. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6734-4_6.
Full textMalyn-Smith, Joyce, and Charoula Angeli. "Computational Thinking." In Encyclopedia of Education and Information Technologies, 333–40. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-10576-1_4.
Full textMalyn-Smith, Joyce, and Charoula Angeli. "Computational Thinking." In Encyclopedia of Education and Information Technologies, 1–7. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-60013-0_4-1.
Full textStephens, Max, and Djordje M. Kadijevich. "Computational/Algorithmic Thinking." In Encyclopedia of Mathematics Education, 117–23. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-15789-0_100044.
Full textGrover, Shuchi. "Computational Thinking Today." In Computational Thinking in Education, 18–40. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003102991-2.
Full textStephens, Max, and Djordje M. Kadijevich. "Computational/Algorithmic Thinking." In Encyclopedia of Mathematics Education, 1–6. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-77487-9_100044-1.
Full textKong, Siu-Cheung, Harold Abelson, and Ming Lai. "Introduction to Computational Thinking Education." In Computational Thinking Education, 1–10. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6528-7_1.
Full textTan, Chee Wei, Pei-Duo Yu, and Ling Lin. "Teaching Computational Thinking Using Mathematics Gamification in Computer Science Game Tournaments." In Computational Thinking Education, 167–81. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6528-7_10.
Full textLee, Chien-Sing, and Pei-Yee Chan. "Mathematics Learning: Perceptions Toward the Design of a Website Based on a Fun Computational Thinking-Based Knowledge Management Framework." In Computational Thinking Education, 183–200. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6528-7_11.
Full textConference papers on the topic "Computational thinking education"
Grover, Shuchi. "Thinking about Computational Thinking." In SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3287324.3293763.
Full textMcMaster, Kirby, Brian Rague, and Nicole Anderson. "Integrating Mathematical Thinking, Abstract Thinking, and Computational Thinking." In 2010 IEEE Frontiers in Education Conference (FIE). IEEE, 2010. http://dx.doi.org/10.1109/fie.2010.5673139.
Full textFloyd, Lisa Anne. "Computational Thinking in Teacher Education." In SIGCSE '20: The 51st ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3328778.3372571.
Full textYadav, Aman, Elisa Nadire Caeli, Ceren Ocak, and Victoria Macann. "Teacher Education and Computational Thinking." In ITiCSE 2022: Innovation and Technology in Computer Science Education. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3502718.3524783.
Full textBender, Jeff, Bingpu Zhao, Alex Dziena, and Gail Kaiser. "Learning Computational Thinking Efficiently." In ACE '22: Australasian Computing Education Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3511861.3511869.
Full textMorrison, Briana B., Brian Dorn, and Michelle Friend. "Computational Thinking Bins." In SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3287324.3287497.
Full textTedre, Matti. "Computational Thinking 2.0." In WiPSCE '22: The 17th Workshop in Primary and Secondary Computing Education. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3556787.3556788.
Full textAiken, John M., Marcos D. Caballero, Scott S. Douglas, John B. Burk, Erin M. Scanlon, Brian D. Thoms, and Michael F. Schatz. "Understanding student computational thinking with computational modeling." In 2012 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2013. http://dx.doi.org/10.1063/1.4789648.
Full textChowdhury, Bushra. "Understanding Collaborative Computational Thinking." In ICER '15: International Computing Education Research Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2787622.2787736.
Full textZipitría, Sylvia da Rosa. "Piaget and Computational Thinking." In the 7th Computer Science Education Research Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3289406.3289412.
Full textReports on the topic "Computational thinking education"
Angevine, Colin, Karen Cator, Jeremy Roschelle, Susan A. Thomas, Chelsea Waite, and Josh Weisgrau. Computational Thinking for a Computational World. Digital Promise, 2017. http://dx.doi.org/10.51388/20.500.12265/62.
Full textMills, Kelly, Merijke Coenraad, Pati Ruiz, Quinn Burke, and Josh Weisgrau. Computational Thinking for an Inclusive World: A Resource for Educators to Learn and Lead. Digital Promise, December 2021. http://dx.doi.org/10.51388/20.500.12265/138.
Full textMills, Kelly, Merijke Coenraad, Pati Ruiz, Quinn Burke, and Josh Weisgrau. Computational Thinking for an Inclusive World: A Resource for Educators to Learn and Lead, Quick Start and Discussion Guide. Digital Promise, December 2021. http://dx.doi.org/10.51388/20.500.12265/140.
Full textLiberman, Babe, and Viki Young. Equity in the Driver’s Seat: A Practice-Driven, Equity-Centered Approach for Setting R&D Agendas in Education. Digital Promise, July 2020. http://dx.doi.org/10.51388/20.500.12265/100.
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