Abstract
School technology access has become an issue of international priority. With increased access to technology on the horizon, educators stand at a crossroads. Do they continue with the status quo or attempt to use the rising technology levels to support those students who need it the most? The work in this chapter aims to contribute to this dialogue in two ways. First, it introduces the Digital Learning Ecosystem as an empirically grounded framework that provides a holistic perspective of the mutually interdependent variables shaping a technology-enabled learning environment. In addition to proposing the Digital Learning Ecosystem, this chapter continues the tradition of identifying and sharing promising research-based practices that are empirically linked to improved learning outcomes by underserved students.
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References
Alloway, T. (2012). Can interactive working memory training improve learning? Journal of Interactive Learning Research, 23(3), 197–207. Retrieved from https://www.learntechlib.org/p/36119.
Bakia, M., Shear, L., Toyama, Y., & Lasseter, A. (2012). Understanding the implications of online learning for educational productivity. Washington, DC: U.S. Department of Education, Office of Educational Technology. Retrieved from http://www.instructionalcenter.org/files/implications-online-learning.pdf.
Barley, Z., Lauer, P. A., Arens, S. A., Apthorp, H. A., Englert, K. S., Snow, D., & Akiba, M. (2002). Helping at-risk students meet standards: A synthesis of evidence-based classroom practices.
Barron, B., Walter, S. E., Martin, C. K., & Schatz, C. (2010). Predictors of creative computing participation and profiles of experience in two Silicon Valley middle schools. Computers & Education, 54(1), 178–189. https://doi.org/10.1016/j.compedu.2009.07.017.
Beltran, D., Das, K., & Fairlie, R. W. (2006). Do home computers improve educational outcomes? Evidence from matched current population surveys and the national longitudinal survey of youth 1997. IZA Discussion Papers. Retrieved from http://papers.ssrn.com/sol3/papers.cfm?abstract_id=877891.
Borman, G. D., Benson, J. G., & Overman, L. (2009). A randomized field trial of the fast for word language computer-based training program. Educational Evaluation and Policy Analysis, 31(1), 82–106. Retrieved from https://www.learntechlib.org/p/108330.
Bos, B. (2007). The effect of the Texas instrument interactive instructional environment on the mathematical achievement of eleventh grade low achieving students. Journal of Educational Computing Research, 37(4), 351–368.
Bottge, B., Rueda, E., & Skivington, M. (2006). Situating math instruction in rich problem-solving contexts: Effects on adolescents with challenging behaviors. Behavioral Disorders, 31(4), 394–407. Retrieved from http://www.jstor.org/stable/23890502.
Callow, J., & Zammit, K. (2012). “Where lies your text?”(twelfth night Act I, Scene V): Engaging high school students from low socioeconomic backgrounds in reading multimodal texts. English in Australia, 47(2), 69–77.
Cheung, A. C. K., & Slavin, R. E. (2012). The effectiveness of educational technology applications for enhancing reading achievement for K–12 classrooms: A meta-analysis. Best Evidence Encyclopedia. Retrieved from http://www.bestevidence.org/word/tech_read_April_25_2012.pdf.
Cheung, A. C. K., & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K–12 classrooms: A meta-analysis. Educational Research Review, 9, 88–113. Retrieved from http://sttechnology.pbworks.com/w/file/fetch/67600623/Cheung_(2013)_The%20effectiveness%20of%20ed%20tech%20applications%20in%20K12%20classrooms.pdf.
Cohen, C. J., Kahne, J., Bowyer, B., Middaugh, E., & Rogowski, J. (2012). Participatory politics: New media and youth political action. Oakland: Youth and Participatory Politics Survey Project. Retrieved from http://ypp.dmlcentral.net/sites/all/files/publications/YPP_Survey_Report_FULL.pdf.
Cornwell, W. R., & Cornwell, J. R. (2006). Connected learning: A framework of observation, research and development to guide the reform of education [White paper]. Center for Internet Research. Retrieved from http://www.tcfir.org/whitepapers/Connected%20Learning%20Framework.pdf.
Darling-Hammond, L., Zielezinski, M. B., & Goldman, S. (2014). Using technology to support at-risk students’ learning. Stanford: Stanford Center for Opportunity Policy in Education. Online Https://edpolicy. Stanford. edu/publications/pubs/1241. Retrieved from http://ostrc.org/newsletter/documents/UsingTechnologytoSupportAtRiskStudentsLearning.pdf.
DeGennaro, D. (2008). The dialectics informing identity in an urban youth digital storytelling workshop. E-Learning and Digital Media, 5(4), 429–444. https://doi.org/10.2304/elea.2008.5.4.429.
Denavas-Walt, C., Proctor, B. D., & Lee, C. H. (2006). Income, poverty, and health insurance coverage in the United States: 2005. Current population reports (P60–231). Washington, DC: U.S. Census Bureau. Retrieved from https://www.census.gov/prod/2006pubs/p60-231.pdf.
DeNavas-Walt, C., Proctor, B. D., & Smith, J. C. (2013). Income, poverty, and health insurance coverage in the United States: 2012. Current population reports (P60-245). Washington, DC: U.S. Census Bureau. Retrieved from https://www.census.gov/prod/2013pubs/p60-245.pdf.
Digest of Education Statistics. (2012a). Table 27. Number and percentage of children under age 18 living in poverty, by family structure and race/ethnicity with selected subgroups: 2006 and 2011. Retrieved from http://nces.ed.gov/programs/digest/d12/tables/dt12_027.asp.
Digest of Education Statistics. (2012b). Table 44. Enrollment and percentage distribution of enrollment in public elementary and secondary schools, by race/ethnicity and region: Selected years, fall 1995 through fall 2021. Retrieved from http://nces.ed.gov/programs/digest/d12/tables/dt12_044.asp.
Digest of Education Statistics. (2013a). Table 204.10. Number and percentage of public school students eligible for free or reduced-price lunch, by state: Selected years, 2000–2001 through 2011–2012. Retrieved from http://nces.ed.gov/programs/digest/d13/tables/dt13_204.10.asp.
Digest of Education Statistics. (2013b). Table 216.60. Number and percentage distribution of public school students eligible for free or reduced-price lunch, by school level, locale, and student race/ethnicity: 2011–2012. Retrieved from http://nces.ed.gov/programs/digest/d13/tables/dt13_216.60.asp.
Edmonds, K., & Li, Q. (2005, April). Teaching at-risk students with technology: Teachers’ beliefs, experiences, and strategies for success. Presented at American Educational Research Association 2005 Annual Meeting, Montreal, Quebec. Retrieved from http://www.catea.gatech.edu/scitrain/kb/FullText_Articles/Edmonds_Teaching.pdf.
Elam, M. E., Donham, B. L., & Soloman, S. R. (2012). An engineering summer program for underrepresented students from rural school districts. Journal of STEM Education: Innovations and Research, 13(2), 35–44. Retrieved from http://ojs.jstem.org/index.php?journal=JSTEM&page=article&op=view&path[]=1619.
Figg, C., & McCartney, R. (2010). Impacting academic achievement with student learners teaching digital storytelling to others: The ATTTCSE digital video project. Contemporary Issues in Technology and Teacher Education, 10(1), 38–79. https://doi.org/10.1007/s11528-006-0045-x.
Gray, L., Thomas, N., & Lewis, L. (2010a). Educational technology in U.S. public schools: Fall 2008 (NCES 2010-034). Washington, DC: U.S. Department of Education, National Center for Education Statistics. Retrieved from http://files.eric.ed.gov/fulltext/ED509397.pdf.
Gray, L., Thomas, N., & Lewis, L. (2010b). Teachers’ use of educational technology in U.S. public schools: 2009 (NCES 2010-040). Washington, DC: U.S. Department of Education, National Center for Education Statistics. Retrieved from http://files.eric.ed.gov/fulltext/ED509514.pdf.
Grimes, S. M., & Fields, D. A. (2012). Kids online: A new research agenda for understanding social networking forums. New York: Joan Ganz Cooney Center at Sesame Workshop. Retrieved from http://dmlcentral.net/wp-content/uploads/files/jgcc_kidsonline.pdf.
Grimes, D., & Warschauer, M. (2008). Learning with laptops: A multi-method case study. Journal of Educational Computing Research, 38(3), 305–332. Retrieved from http://www.education.uci.edu/person/warschauer_m/docs/laptops-jecr.pdf.
Hall, D. T., & Damico, J. (2007). Black youth employ African American vernacular English in creating digital texts. The Journal of Negro Education, 76(1), 80–88. Retrieved from http://www.jstor.org/stable/40026332.
Hannafin, R. D., & Foshay, W. R. (2008). Computer-based instruction’s (CBI) rediscovered role in K–12: An evaluation case study of one high school’s use of CBI to improve pass rates on high-stakes tests. Educational Technology Research and Development, 56(2), 147–160. https://doi.org/10.1007/s11423-006-9007-4.
Harness, H., & Drossman, H. (2011). The environmental education through filmmaking project. Environmental Education Research, 17(6), 829–849. https://doi.org/10.1080/13504622.2011.618626.
Ito, M., Gutiérrez, K., Livingstone, S., Penuel, B., Rhodes, Salen, K., Schor, J., Sefton-Green, S., & Watkins, S. C. (2013). Connected learning: An agenda for research and design. Irvine: Digital Media and Learning Research Hub.
Kahne, J., Lee, N., & Feezell, J. T. (2012). Digital media literacy education and online civic and political participation. International Journal of Communication, 6, 1–24. Retrieved from http://ijoc.org/index.php/ijoc/article/view/999/675.
Kim, J., & Lee, W. (2011). Assistance and possibilities: Analysis of learning-related factors affecting the online learning satisfaction of underprivileged students. Computers & Education, 57(4), 2395–2405. https://doi.org/10.1016/j.compedu.2011.05.021.
Lang, J. M., Waterman, J., & Baker, B. L. (2009). Computeen: A randomized trial of a preventive computer and psychosocial skills curriculum for at-risk adolescents. Journal of Primary Prevention, 30(5), 587–603. https://doi.org/10.1007/s10935-009-0186-8.
Li, Q., & Ma, X. (2010). A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educational Psychology Review, 22(3), 215–243. https://doi.org/10.1007/s10648-010-9125-8.
Madden, M., Lenhart, A., Duggan, M., Cortesi, S., & Gasser, U. (2013). Teens and technology 2013. Washington, DC: Pew Research Center. Retrieved from http://www.pewinternet.org/files/old-media//Files/Reports/2013/PIP_TeensandTechnology2013.pdf.
Maninger, R. M. (2006). Successful technology integration: Student test scores improved in an English literature course through the use of supportive devices. TechTrends: Linking Research and Practice to Improve Learning, 50(5), 37–45. https://doi.org/10.1007/s11528-006-0045-x.
Marino, M. T. (2009). Understanding how adolescents with reading difficulties utilize technology-based tools. Exceptionality: A Special Education Journal, 17(2), 88–102. https://doi.org/10.1080/09362830902805848.
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2010). Evaluation of evidence-based practices in online learning: A meta-analysis and review of online learning studies. Washington, DC: U.S. Department of Education, Office of Planning, Evaluation, and Policy Development. Retrieved from http://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.pdf.
Means, B., Toyama, Y., Murphy, R., & Bakia, M. (2013). The effectiveness of online and blended learning: A meta-analysis of the empirical literature. Teachers College Record, 115(3), 1–47. Retrieved from https://www.sri.com/sites/default/files/publications/effectiveness_of_online_and_blended_learning.pdf.
Purcell, K., Heaps, A., Buchanan, J., & Friedrich, L. (2013). How teachers are using technology at home and in their classrooms. Washington, DC: Pew Research Center’s Internet & American Life Project. Retrieved from http://www.pewinternet.org/2013/02/28/how-teachers-are-using-technology-at-home-and-in-their-classrooms/.
Ringstaff, C., & Kelley, L. (2002). The learning return on our educational technology investment: A review of findings from research. San Francisco: WestEd. Retrieved from https://www.wested.org/online_pubs/learning_return.pdf.
Ritzhaupt, A., Higgins, H., & Allred, B. (2010). Teacher experiences on the integration of modern educational games in the middle school mathematics classroom. Journal of Computers in Mathematics and Science Teaching, 29(2), 189–216.
Ritzhaupt, A., Higgins, H., & Allred, B. (2011). Effects of modern educational game play on attitudes towards mathematics, mathematics self-efficacy, and mathematics achievement. Journal of Interactive Learning Research, 22(2), 277–297. Retrieved from http://www.aritzhaupt.com/eprofessional/papers/2011/RitzhauptHigginsAllred.pdf.
Samsonov, P., Pedersen, S., & Hill, C. L. (2006). Using problem-based learning software with at-risk students: A case study. Computers in the Schools, 23(1–2), 111–124.
Shapley, K., Sheehan, D., Maloney, C., & Caranikas-Walker, F. (2009). Evaluation of the Texas technology immersion pilot: Final outcomes for a four-year study (2004–2005 to 2007–2008). Austin: Texas Center for Educational Research. Retrieved from http://files.eric.ed.gov/fulltext/ED536296.pdf.
Shear, L., Gallagher, L., & Patel, D. (2011). Innovative teaching and learning research: 2011 findings and implications. ITL Research. Retrieved from http://www.itlresearch.com/images/stories/reports/ITL%20Research%202011%20Findings%20and%20Implications%20-%20Final.pdf. 76(1), 57–67. Retrieved from http://www.jstor.org/stable/40026330.
Warschauer, M., & Matuchniak, T. (2010). New technology and digital worlds: Analyzing evidence of equity in access, use, and outcomes. Review of Research in Education, 34(1), 179–225. https://doi.org/10.3102/0091732X09349791.
Warschauer, M., Knobel, M., & Stone, L. (2004). Technology and equity in schooling: Deconstructing the digital divide. Educational Policy, 18(4), 562–588. https://doi.org/10.1177/0895904804266469.
Watson, S. L., & Watson, W. R. (2011). The role of technology and computer-based instruction in a disadvantaged alternative school’s culture of learning. Computers in the Schools, 28(1), 39–55. https://doi.org/10.1080/07380569.2011.552042.
Wenglinsky, H. (2005). Using technology wisely: The keys to success in schools. New York: Teachers College Press.
Zielezinski, M. B., & Darling-Hammond, L. (2016). Promising practices: A literature review of technology use by underserved students. Stanford: Stanford Center for Opportunity Policy in Education.
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Zielezinski, M.B., Darling-Hammond, L. (2018). Advancing Equity Through Educational Technology: Promising Practices for Adoption, Integration, and Use in K–12. In: Voogt, J., Knezek, G., Christensen, R., Lai, KW. (eds) Second Handbook of Information Technology in Primary and Secondary Education . Springer International Handbooks of Education. Springer, Cham. https://doi.org/10.1007/978-3-319-53803-7_95-1
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