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Analysis of the Impact of Educational Technology on Social Inequity in the United States
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“Some scholars have recently discussed, for example, how educational technologies like smartboards (which improve student learning outcomes and increase classroom efficiency) have led to greater social inequality.”
From Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction (2024) · cites this paper as [10]
In the citing paper
“Since smartboards were disproportionately deployed into high-resourced schools, they disproportionately benefited students with high socioeconomic status, thus further increasing economic disparities along class lines [10, 60].”
From Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction (2024) · cites this paper as [10]
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Research works printed but not linked: 26
- Tawfik, A.A., Reeves, T.D., Stich, A.: Intended and unintended consequences of educational technology on social inequality. TechTrends 60(6), 598–605 (2016). https://doi.org/10.1007/s11528-016-0109-5 · DOI · Paper page
- Biddle, B., Berliner, D.: Unequal school funding in the United States. Educ. Leadersh. 59(8), 48–59 (2002)
- Morgan, I., Amerikaner, A.: Funding gaps 2018: an analysis of school funding equity across the U.S. and within each state. The Education Trust, Funding Gaps, pp. 1–13 (2018)
- Losen, D.J., Orfield, G.: Racial Inequity in Special Education. Harvard Education Publishing Group, Cambridge (2002)
- Beratan, G.D.: Institutionalizing inequity: ableism, racism and IDEA 2004. Disabil. Stud. Q. 26(2), (2006). https://doi.org/10.18061/dsq.v26i2.682 · DOI
- Sciuchetti, M.B.: Addressing inequity in special education: an integrated framework for culturally responsive social emotional practice. Psychol. Sch. 54(10), 1245–1251 (2017). https://doi.org/10.1002/pits.22073 · DOI
- Warschauer, M., Knobel, M., Stone, L.: Technology and equity in schooling: deconstructing the digital divide. Educ. Policy 18(4), 562–588 (2004). https://doi.org/10.1177/0895904804266469 · DOI
- Selwyn, N.: Degrees of digital division: reconsidering digital inequalities and contemporary higher education. RUSC. Univ. Knowl. Soc. J. 7(1), (2010). https://doi.org/10.7238/rusc.v7i1.660 · DOI
- Dimaggio, P., Hargittai, E., Celeste, C., Shafer, S.: Digital inequality: from unequal access to differentiated use. In: Social Inequality, pp. 355–400 (2004)
- Buckenmeyer, J.A.: Beyond computers in the classroom: factors related to technology adoption to enhance teaching and learning. Contemp. Issues Educ. Res. (CIER) 3(4), 27 (2010). https://doi.org/10.19030/cier.v3i4.194 · DOI
- An, Y.-J., Reigeluth, C.: Creating technology-enhanced, learner-centered classrooms. J. Digit. Learn. Teach. Educ. 28(2), 54–62 (2011). https://doi.org/10.1080/21532974.2011.10784681 · DOI
- Liu, F., Ritzhaupt, A.D., Dawson, K., Barron, A.E.: Explaining technology integration in K-12 classrooms: a multilevel path analysis model. Educ. Tech. Res. Dev. 65(4), 795–813 (2016). https://doi.org/10.1007/s11423-016-9487-9 · DOI · Paper page
- Berger, M.J., Harriger, A.R., Dooley, A., Heck, C.: Obstacles to Alice adoption in the high school classroom. In: Proceedings of the 2009 Alice Symposium, New York, NY, USA, June 2009, pp. 1–5 (2009). https://doi.org/10.1145/1878513.1878516 · DOI
- Federmeier, J.A., Clift, R.T.: Personal, professional, technical, and institutional factors involved in developing a computer-intensive english curriculum. In: Technology and Education: Issues in Administration, Policy, and Applications in K12 Schools, pp. 271–286. Emerald (MCB UP ), Bingley (2006). https://doi.org/10.1016/S1479-3660(05)08018-2 · DOI
- Akça, Y., Özer, G., Işık, A.D., Çelik, E.: The user characteristics effects to smart board usage on technology acceptance model variables: the sample of Bartin highschool teachers. Int. J. Res. Bus. Soc. Sci. (2017). https://doaj.org. Accessed 06 Dec 2020
- Cabus, S., Haelermans, C., Franken, S.: SMART in mathematics? Exploring the effects of in-class-level differentiation using SMARTboard on math proficiency. Br. J. Edu. Technol. 48(1), 145–161 (2017). https://doi.org/10.1111/bjet.12350 · DOI
- Çoklar, A., Tercan, I.: Opinions of teachers toward the use of smart boards. Element. Educ. Online 13, 48–61 (2014)
- Gürbüztürk, O.: Investigation of elementary education students attitudes towards the use of smart boards. Int. Electron. J. Element. Educ. 11(1), 55–61 (2018). https://doi.org/10.26822/iejee.2018143961 · DOI
- Kirbas, A.: Student views on using smart boards in Turkish education. Univ. J. Educ. Res. 6(5), 1040–1049 (2018) · DOI
- Mun, S.H., et al.: Active learning using digital smart board to enhance primary school students’ learning. Int. J. Interact. Mob. Technol. 13(7), 4–16 (2019). https://doi.org/10.3991/ijim.v13i07.10654 · DOI
- Korkmaz, O., Cakil, I.: Teachers’ difficulties about using smart boards. Procedia. Soc. Behav. Sci. 83, 595–599 (2013). https://doi.org/10.1016/j.sbspro.2013.06.113 · DOI
- Parks, A.N.: Smart boards, money and the pedagogy of watching. In: Clough, M.P., Olson, J.K., Niederhauser, D.S. (eds.) The Nature of Technology: Implications for Learning and Teaching, pp. 201–216. SensePublishers, Rotterdam (2013) · DOI
- van de Oudeweetering, K., Agirdag, O.: MOOCS as accelerators of social mobility? A systematic review. Educ. Technol. Soc. 21(1), 1–11 (2018)
- Pollack Ichou, R.: Can MOOCs reduce global inequality in education? Australas. Mark. J. (AMJ) 26(2), 116–120 (2018). https://doi.org/10.1016/j.ausmj.2018.05.007 · DOI
- van Dijk, J., Hacker, K.: The digital divide as a complex and dynamic phenomenon. Inf. Soc. 19(4), 315–326 (2003). https://doi.org/10.1080/01972240309487 · DOI · Paper page
- Lewandowski, L., Wood, W., Miller, L.A.: Chapter 3 - technological applications for individuals with learning disabilities and ADHD. In: Luiselli, J.K., Fischer, A.J. (eds.) Computer-Assisted and Web-Based Innovations in Psychology, Special Education, and Health, pp. 61–93. Academic Press, San Diego (2016) · DOI
Cited by
Sorted by citations
Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction
Zhu, Y., Wen, R., & Williams, T. (2024) · Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction · doi:10.1145/3610977.3634944 · Cited by 19
Metadata
- Authors
- Darmawaskita, N., & McDaniel, T.
- Affiliations
- Arizona State University (US)
- Corresponding author
- McDaniel, Troy
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 41-51
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W3186981557
- Cited by
- 5
- References
- 0
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 1 · 2021: 1
- FWCI
- 1.04
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Education › Digital Education and Society
- Social Sciences › Education › Educational Innovations and Technology
- Social Sciences › Education › Education in Diverse Contexts
- Keywords
- educational technology, educational inequity, digital divide, interactive whiteboards, smart technologies, MOOCs, reading software, marginalized communities, school funding disparities, access to technology, techno-solutionism, inclusive technology design
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- The paper
- Darmawaskita, N., & McDaniel, T. (2021). Analysis of the Impact of Educational Technology on Social Inequity in the United States. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-78095-1_4