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Journals / Ankara Üniversitesi Eğitim Bilimleri Fakültesi Özel Eğitim Dergisi / 2026 / Cilt: 27 Sayı: 1

The Use of Technology in Classroom Management: A Systematic Review of Single-case Experimental Research

Sınıf Yönetiminde Teknoloji Kullanımı: Tek-denekli Deneysel Araştırmaların Sistematik Derlemesi

Hicran Denizli Gülboy(T.C. MİLLİ EĞİTİM BAKANLIĞI)0000-0001-6732-1536
Nevin Güner(ESKİŞEHİR OSMANGAZİ ÜNİVERSİTESİ)0000-0002-9135-6429
Emrah Gülboy(ONDOKUZ MAYIS ÜNİVERSİTESİ)0000-0002-7802-6839
Pages
181–198
Publication Date
2026-03-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results: Descriptive findings revealed that technology-based interventions were effective in facilitating classroom management in classrooms with students with special educational needs and students with typical development.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Introduction: Teachers and researchers are a positive classroom climate.
📊
Key Findings & Data:Method: We descriptively analyzed 20 studies meeting the inclusion criteria of the current study and assessed their methodological rigor according to the What Works Clearinghouse (2020) design standards.
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Conclusion & Impact:Results: Descriptive findings revealed that technology-based interventions were effective in facilitating classroom management in classrooms with students with special educational needs and students with typical development.
🔬Design:Derleme
📍Scope:2020 Verileri
⚙️Variables:Teknoloji temelli uygulamalar · sınıf yönetimi · betimsel özellikler

Abstract

Introduction: Teachers and researchers are a positive classroom climate. This study aims to examine the single-case experimental research on technology-based interventions used by teachers in general and special education classrooms for classroom management regarding their descriptive characteristics and methodological quality. Method: We descriptively analyzed 20 studies meeting the inclusion criteria of the current study and assessed their methodological rigor according to the What Works Clearinghouse (2020) design standards. Results: Descriptive findings revealed that technology-based interventions were effective in facilitating classroom management in classrooms with students with special educational needs and students with typical development. The findings regarding methodological rigor indicated that most of the research (n = 16) was at the desired level in terms of design standards. Discussion: Implications for further research and practice are discussed in line with the findings.

Özet

Giriş: Öğretmenler ve araştırmacılar, öğrenci başarısını artırmak ve olumlu bir sınıf iklimi oluşturmak için sınıflarında teknoloji kullanımını giderek daha fazla benimsemektedir. Bu çalışmanın amacı, genel eğitim ve özel eğitim sınıflarında öğretmenler tarafından sınıf yönetimini sağlamak amacıyla kullanılan teknoloji temelli uygulamaların kullanıldığı tek-denekli deneysel araştırmaları betimleyici özellikleri ve yöntemsel kaliteleri açısından incelemektir. Yöntem: Çalışma bir sistematik derleme araştırmasıdır. Mevcut çalışmanın dahil edilme kriterlerini karşılayan 20 araştırma betimsel olarak analiz edilmiş ve What Works Clearinghouse (2020) kalite standartları kullanılarak yöntemsel açıdan değerlendirilmiştir. Bulgular: Betimsel bulgular, özel gereksinimi olan ve tipik gelişim gösteren öğrencilerin yer aldığı sınıflarda sınıf yönetiminin sağlanmasında teknoloji temelli uygulamaların etkili olduğunu ortaya koymaktadır. Yöntemsel kaliteye ilişkin bulgular ise araştırmaların çoğunun (n = 16) kalite standartları açısından istenen düzeyde olduğunu göstermektedir. Tartışma: Bulgular doğrultusunda ileri araştırma ve uygulamalara yönelik çıkarımlar tartışılmıştır.

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Cite This Article

Gülboy, H. D., Güner, N., Gülboy, E. (2026). The Use of Technology in Classroom Management: A Systematic Review of Single-case Experimental Research. Ankara Üniversitesi Eğitim Bilimleri Fakültesi Özel Eğitim Dergisi, Cilt: 27 Sayı: 1, 181–198. https://doi.org/10.21565/ozelegitimdergisi.1563086

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References (84)

  1. Alderman, M. K., & MacDonald, S. (2015). A self-regulatory approach to classroom management: Empowering students and teachers. Kappa Delta Pi Record, 51(2), 52–56. https://doi.org/10.1080/00228958.2015.1023145
  2. Algozzine, K., Christian, C., Marr, M. B., McClanahan, T., & White, R. (2008). Demography of problem behavior in elementary schools. Exceptionality, 16(2), 93–104. https://doi.org/10.1080/09362830801981369
  3. Aloe, A. M., Shisler, S. M., Norris, B. D., Nickerson, A. B., & Rinker, T. W. (2014). A multivariate meta-analysis of student misbehavior and teacher burnout. Educational Research Review, 12(2014), 30–44. https://doi.org/10.1016/j.edurev.2014.05.003
  4. Aloe, A. M., Amo, L. C., & Shanahan, M. E. (2014). Classroom management self-efficacy and burnout: A multivariate meta-analysis. Educational Psychology Review, 26(2014), 101–126. https://doi.org/10.1007/s10648-013-9244-0
  5. Aldrup, K., Klusmann, U., Lüdtke, O., Göllner, R., & Trautwein, U. (2018). Student misbehavior and teacher well-being: Testing the mediating role of the teacher-student relationship. Learning and Instruction, 58(2018), 126–136. https://doi.org/10.1016/j.learninstruc.2018.05.006
  6. Bethune, K. S., & Wood, C. L. (2013). Effects of coaching on teachers’ use of function-based interventions for students with severe disabilities. Teacher Education and Special Education, 36(2), 97–114. https://doi.org/10.1177/0888406413478637
  7. Blood, E., Johnson, J. W., Ridenour, L., Simmons, K., & Crouch, S. (2011). Using an iPod touch to teach social and self-management skills to an elementary student with emotional/behavioral disorders. Education and Treatment of Children, 34(3), 299–321. https://doi.org/10.1353/etc.2011.0019
  8. Blume, F., Irmer, A., Dirk, J., & Schmiedek, F. (2022). Day‐to‐day variation in students’ academic success: The role of self‐regulation, working memory, and achievement goals. Developmental Science, 25(6), 1–24. https://doi.org/10.1111/desc.13301
  9. Bruhn, A. L., Vogelgesang, K., Schabilion, K., Waller, L., & Fernando, J. (2015). “I do not like being good!” Changing behavior with technology-based self-monitoring. Journal of Special Education Technology, 30(3), 133–144. https://doi.org/10.1177/0162643415618911
  10. Bruhn, A. L., Vogelgesang, K., Fernando, J., & Lugo, W. (2016). Using data to individualize a multicomponent, technology-based self-monitoring intervention. Journal of Special Education Technology, 31(2), 64–76. https://doi.org/10.1177/0162643416650024
  11. Bruhn, A. L., Woods-Groves, S., Fernando, J., Choi, T., & Troughton, L. (2017). Evaluating technology-based self-monitoring as a tier 2 intervention across middle school settings. Behavioral Disorders, 42(3), 119–131. https://doi.org/10.1177/0198742917691534
  12. Butler, A., & Monda-Amaya, L. (2016). Preservice teachers’ perceptions of challenging behavior. Teacher Education and Special Education, 39(4), 276–292. https://doi.org/10.1177/0888406416654212
  13. Cardinal, D. N., Griffiths, A. J., Maupin, Z. D., & Fraumeni‐McBride, J. (2021). An investigation of increased rates of autism in US public schools. Psychology in the Schools, 58(1), 124–140. https://doi.org/10.1002/pits.22425
  14. Chapman, B. N., Drevon, D. D., & Jasper, A. D. (2023). The impact of the quiet classroom game on on-task behavior and classroom noise level in three middle school classrooms. Journal of Behavioral Education, 32(1), 109–126. https://doi.org/10.1007/s10864-021-09444-3
  15. Cheatham, J. M., Ozga, J. E., St. Peter, C. C., Mesches, G. A., & Owsiany, J. M. (2017). Increasing class participation in college classrooms with the good behavior game. Journal of Behavioral Education, 26(2017), 277–292. https://doi.org/10.1007/s10864-017-9266-7
  16. Chiarotti, F., & Venerosi, A. (2020). Epidemiology of autism spectrum disorders: A review of worldwide prevalence estimates since 2014. Brain Sciences, 10(5), 274–.295 https://doi.org/10.3390/brainsci10050274
  17. Cho, V., Mansfield, K.C., & Claughton, J. (2020). The past and future technology in classroom management and school discipline: A systematic review. Teaching and Teacher Education, 90(2020), 1–11. https://doi.org/10.1016/j.tate.2020.103037
  18. Cohen, G., & Martin, N. (2022). High-tech classroom management: effects of the use of an app on disruptive and on-task classroom behaviors for students with emotional and behavioral disorder. Behavioral Sciences, 13(1), 23–40. https://doi.org/10.3390/bs13010023
  19. Cook, S. C., Rao, K., & Collins, L. (2017). Self-monitoring interventions for students with EBD: Applying UDL to a research-based practice. Beyond Behavior, 26(1), 19–27. https://doi.org/10.1177/1074295617694407
  20. Cooper, J. T., Gage, N. A., Alter, P. J., LaPolla, S., MacSuga-Gage, A. S., & Scott, T. M. (2018). Educators' self-reported training, use, and perceived effectiveness of evidence-based classroom management practices. Preventing School Failure: Alternative Education for Children and Youth, 62(1), 13–24. https://doi.org/10.1080/1045988X.2017.1298562
  21. Cooper, J. T., & Scott, T. M. (2017). The keys to managing instruction and behavior: Considering high probability practices. Teacher Education and Special Education, 40(2), 102–113. https://doi.org/10.1177/0888406417700825
  22. Crutchfield, S. A., Mason, R. A., Chambers, A., Wills, H. P., & Mason, B. A. (2015). Use of a self-monitoring application to reduce stereotypic behavior in adolescents with autism: A preliminary investigation of I-Connect. Journal of Autism and Developmental Disorders, 45(2015), 1146–1155. https://doi.org/10.1007/s10803-014-2272-x
  23. Darling-Hammond, L. (2010). Teacher education and the American future. Journal of Teacher Education, 61(1–2), 35–47. https://doi.org/10.1177/0022487109348024
  24. Demir, Ö. (2024). Another brick in the wall of ed-tech failures? A systematic literature review of the FATIH project in Turkey from the perspective of in-service teachers. Learning, Media and Technology, 49(1), 20–34. https://doi.org/10.1080/17439884.2023.2233424
  25. Dillon, M. B. M., Radley, K. C., Tingstrom, D. H., Dart, E. H., & Barry, C. T. (2019). The effects of tootling via ClassDojo on student behavior in elementary classrooms. School Psychology Review, 48(1), 18–30. https://doi.org/10.17105/SPR-2017-0090.V48-1
  26. Eisenman, G., Edwards, S., & Cushman, C. A. (2015). Bringing reality to classroom management in teacher education. Professional Educator, 39(1), 1–12.
  27. Elswick, S., Casey, L. B., Zanskas, S., Black, T., & Schnell, R. (2016). Effective data collection modalities utilized in monitoring the good behavior game: Technology-based data collection versus hand-collected data. Computers in Human Behavior, 54(2016), 158–169. https://doi.org/10.1016/j.chb.2015.07.059
  28. Evertson, C. M., & Weinstein, C. S. (2013). Classroom management as a field of inquiry. In C. M. Evertson & C. S. Weinstein (Eds.), Handbook of classroom management: Research, practice, and contemporary issues (pp. 3–15). Routledge.
  29. Ford, W. B., Radley, K. C., Tingstrom, D. H., Dart, E. H., & Dufrene, B. (2022). Evaluation of the good behavior game using ClassDojo in secondary classrooms. School Psychology Review, 1–15. https://doi.org/10.1080/2372966X.2022.2067736
  30. Freeman, J., Simonsen, B., Briere, D. E., & MacSuga-Gage, A. S. (2014). Pre-service teacher training in classroom management: A review of state accreditation policy and teacher preparation programs. Teacher Education and Special Education, 37(2), 106–120. https://doi.org/10.1177/0888406413507002
  31. Freiberg, H.J., Stein, T.A., & Huang, S.Y. (1995). Effects of classroom management intervention on student achievement in inner city elementary schools. Educational Research and Evaluation 1(1), 36–66. https://doi.org/10.1080/1380361950010103
  32. Gage, N. A., Scott, T., Hirn, R., & MacSuga-Gage, A. S. (2018). The relationship between teachers’ implementation of classroom management practices and student behavior in elementary school. Behavioral Disorders, 43(2), 302–315. https://doi.org/10.1177/0198742917714809
  33. Gage, N. A., & MacSuga-Gage, A. S. (2017). Salient classroom management skills: Finding the most effective skills to increase student engagement and decrease disruptions. Report on Emotional & Behavioral Disorders in Youth, 17(1), 13–18.
  34. Gardner III, R., Heward, W. L., & Grossi, T. A. (1994). Effects of response cards on student participation and academic achievement: A systematic replication with inner‐city students during whole‐class science instruction. Journal of Applied Behavior Analysis, 27(1), 63–71. https://doi.org/10.1901/jaba.1994.27-63
  35. Gettinger, M., & Kohler, K. M. (2006). Process-outcome approaches to classroom management and effective teaching. In C. Evertson & C. Weinstein (Eds.), Handbook of classroom management: Research, practice, and contemporary issues (pp. 73-95). Lawrence Erlbaum Associates.
  36. Gündoğdu, T. (2014). The interactive whiteboard as a teaching-learning tool. The Journal of Academic Social Science, 2(6), 392–401. http://dx.doi.org/10.16992/ASOS.342
  37. Güner-Yıldız, N., & Köse, H. (2022). Classroom and behavioral management. Vize Akademik Publishing.
  38. Güner-Yıldız, N., Köse, H., & Akın, E. (2022). Classroom management: Significance in inclusive education, current problems, and proposed solutions. Ankara University Faculty of Educational Sciences Journal of Special Education, 23(3), 699–720. https://doi.org/10.21565/ozelegitimdergisi.856085
  39. Grynszpan, O., Weiss, P. L., Perez-Diaz, F., & Gal, E. (2014). Innovative technology-based interventions for autism spectrum disorders: a meta-analysis. Autism, 18(4), 346–361. https://doi.org/10.1177/1362361313476767
  40. Horner, R. H., Carr, E. G., Halle, J., McGee, G., Odom, S., & Wolery, M. (2005). The use of single-subject research to identify evidence-based practice in special education. Exceptional Children, 71(2), 165–179. https://doi.org/10.1177/001440290507100203
  41. Hudson, M. E., Voytecki, K. S., Owens, T. L., & Zhang, G. (2019). Preservice teacher experiences implementing classroom management practices through mixed-reality simulations. Rural Special Education Quarterly, 38(2), 79–94. https://doi.org/10.1177/875687051984142
  42. Kazdin, A. E. (2011). Single-case research designs: Methods for clinical and applied settings. Oxford University Press.
  43. Kim, M. S., Blair, K. S. C., & Lim, K. W. (2014). Using tablet-assisted Social Stories™ to improve classroom behavior for adolescents with intellectual disabilities. Research in Developmental Disabilities, 35(9), 2241–2251. https://doi.org/10.1016/j.ridd.2014.05.011
  44. Kirkpatrick, M., Rivera, G., & Akers, J. (2022). Systematic review of behavioral interventions using digital technology to reduce problem behavior in the classroom. Journal of Behavioral Education, 31(2022), 66–93. https://doi.org/10.1007/s10864-020-09406-1
  45. Kolbenschlag, C. M., & Wunderlich, K. L. (2021). The effects of self-monitoring on on-task behaviors in individuals with autism spectrum disorders. Journal of Behavioral Education, 30(2021), 80–91. https://doi.org/10.1007/s10864-019-09352-7
  46. Lannie, A. L., & McCurdy, B. L. (2007). Preventing disruptive behavior in the urban classroom: Effects of the good behavior game on student and teacher behavior. Education and Treatment of Children, 30(1), 85–98. https://doi.org/10.1353/etc.2007.0002
  47. Larson, K. E., Hirsch, S. E., McGraw, J. P., & Bradshaw, C. P. (2020). Preparing preservice teachers to manage behavior problems in the classroom: The feasibility and acceptability of using a mixed-reality simulator. Journal of Special Education Technology, 35(2), 63–75. https://doi.org/10.1177/0162643419836415
  48. Lastrapes, R. E. (2016). Let us play: Using research-based games to facilitate effective instruction. Beyond Behavior, 25(3), 27–33. https://doi.org/10.1177/107429561602500305
  49. Ling, S., Hawkins, R. O., & Weber, D. (2011). Effects of a classwide interdependent group contingency designed to improve the behavior of an at-risk student. Journal of Behavioral Education, 20(2011), 103–116. https://doi.org/10.1007/s10864-011-9125-x
  50. Lipscomb, A. H., Anderson, M., & Gadke, D. L. (2018). Comparing the effects of ClassDojo with and without Tootling intervention in a postsecondary special education classroom setting. Psychology in the Schools, 55(10), 1287–1301. https://doi.org/10.1002/pits.22185
  51. Lynne, S., Radley, K. C., Dart, E. H., Tingstrom, D. H., Barry, C. T., & Lum, J. D. (2017). Use of a technology‐enhanced version of the good behavior game in an elementary school setting. Psychology in the Schools, 54(9), 1049–1063. https://doi.org/10.1002/pits.22043
  52. McLeod, J., Fisher, J., & Hoover, G. (2003). The key elements of classroom management: Managing time and space, student behavior, and instructional strategies. ASCD.
  53. McCoy, D. M., Morrison, J. Q., Barnett, D. W., Kalra, H. D., & Donovan, L. K. (2017). Using iPad tablets for self‐modeling with preschoolers: Videos versus photos. Psychology in the Schools, 54(8), 821–836. https://doi.org/10.1002/pits.22031
  54. McGarr, O. (2021). The use of virtual simulations in teacher education to develop pre-service teachers’ behavior and classroom management skills: implications for reflective practice. Journal of Education for Teaching, 47(2), 274–286. https://doi.org/10.1080/02607476.2020.1733398
  55. McKenna, K., Bray, M. A., Fitzmaurice, B., Choi, D., DeMaio, E., Bray, C. R., & Bernstein, C. (2023). Self‐monitoring with goal‐setting: Decreasing disruptive behavior in children with Attention‐Deficit/Hyperactivity Disorder. Psychology in the Schools, 60(12), 5167–5188. https://doi.org/10.1002/pits.23026
  56. Melnick, S. A., & Meister, D. G. (2008). A comparison of beginning and experienced teachers’ concerns. Educational Research Quarterly, 31(3), 40–56.
  57. Mitchell, L. K. (2017). We Can't tolerate that behavior in this school: The consequences of excluding children with behavioral health conditions and the limits of the law. NYU Rev. L. & Soc. Change, 41, 407–477.
  58. Moeyaert, M., Maggin, D., & Verkuilen, J. (2016). Reliability, validity, and usability of data extraction programs for single-case research designs. Behavior Modification, 40(6), 874–900. https://doi.org/10.1177/0145445516645763
  59. Myers, D., Sugai, G., Simonsen, B., & Freeman, J. (2017). Assessing teachers’ behavior support skills. Teacher Education and Special Education, 40(2), 128–139. https://doi.org/10.1177/0888406417700964
  60. Nagro, S. A., Hirsch, S. E., & Kennedy, M. J. (2020). A self-led approach to improving classroom management practices using video analysis. Teaching Exceptional Children, 53(1), 24–32. https://doi.org/10.1177/0040059920914329
  61. Nolan, J. D., Houlihan, D., Wanzek, M., & Jenson, W. R. (2014). The Good Behavior Game: A classroom-behavior intervention effective across cultures. School Psychology International, 35(2), 191–205. https://doi.org/10.1177/0143034312471473
  62. Noltemeyer, A. L., Ward, R. M., & Mcloughlin, C. (2015). Relationship between school suspension and student outcomes: A meta-analysis. School Psychology Review, 44(2), 224–240. https://doi.org/10.17105/spr-14-0008.1
  63. Oliver, R. M., & Reschly, D. J. (2010). Teacher preparation in classroom management: Implications for students with emotional and behavioral disorders. Behavioral Disorders, 35(3), 188–199. https://doi.org/10.1177/019874291003500301
  64. Pas, E. T., Bradshaw, C. P., Hershfeldt, P. A., & Leaf, P. J. (2010). A multilevel exploration of the influence of teacher efficacy and burnout on response to student problem behavior and school-based service use. School Psychology Quarterly, 25(1), 13–27. https://doi.org/10.1037/a0018576
  65. Polat, S., & Özcan, A. (2016). The opinions of elementary school teachers on the use of smart board. Kastamonu Eğitim Dergisi, 22(2), 439-455.
  66. Radley, K. C., Dart, E. H., & O'Handley, R. D. (2016). The quiet classroom game: A class-wide intervention to increase academic engagement and reduce disruptive behavior. School Psychology Review, 45(1), 93–108.
  67. Reinke, W. M., Herman, K. C., & Stormont, M. (2013). Classroom-level positive behavior supports in schools implementing SW-PBIS: Identifying areas for enhancement. Journal of Positive Behavior Interventions, 15(1), 39–50. https://doi.org/10.1177/1098300712459079
  68. Risse, M. R., Blair, K. S. C., & Russo, D. A. (2023). Evaluating technology-based self-monitoring of performance with differential reinforcement for students with disabilities. Behavioral Sciences, 13(6), 508–525. https://doi.org/10.3390/bs13060508
  69. Rosenthal, R. (1979). The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3), 638–641. https://doi.org/10.1037/0033-2909.86.3.638
  70. Shank, M. K., & Santiague, L. (2022). Classroom management needs of novice teachers. The Clearing House: A Journal of Educational Strategies, Issues and Ideas, 95(1), 26–34. https://doi.org/10.1080/00098655.2021.2010636
  71. Schulz, T., Cividini-Motta, C., Blair, K. S. C., & MacNaul, H. (2022). A comparison of high-tech and low-tech response modalities to improve student classroom behavior. Journal of Behavioral Education, 31(2022), 243–264. https://doi.org/10.1007/s10864-020-09393-3
  72. Simó-Pinatella, D., Mumbardó-Adam, C., Alomar-Kurz, E., Sugai, G., & Simonsen, B. (2019). Prevalence of challenging behaviors exhibited by children with disabilities: Mapping the literature. Journal of Behavioral Education, 28(3), 323–343. https://doi.org/10.1007/s10864-019-09326-9
  73. Simonsen, B., Sugai, G., & Negron, M. (2008). Schoolwide positive behavior supports: Primary systems and practices. Teaching Exceptional Children, 40(6), 32–40. https://doi.org/10.1177/004005990804000604
  74. Simonsen, B., Fairbanks, S., Briesch, A., Myers, D., & Sugai, G. (2008). Evidence-based practices in classroom management: Considerations for research to practice. Education and Treatment of Children, 31(3), 351–380.
  75. Steinfeld, E., & Maisel, J. (2012). Universal design: Creating inclusive environments. John Wiley & Sons.
  76. Szwed, K., & Bouck, E. C. (2013). Clicking away: Repurposing student response systems to lessen off-task behavior. Journal of Special Education Technology, 28(2), 1–12. https://doi.org/10.1177/016264341302800201
  77. Tincani, M., & Travers, J. (2018). Publishing single-case research design studies that do not demonstrate experimental control. Remedial and Special Education, 39(2), 118–128. https://doi.org/10.1177/0741932517697447
  78. Tschannen-Moran, M., & Hoy, A. W. (2007). The differential antecedents of self-efficacy beliefs of novice and experienced teachers. Teaching and Teacher Education, 23(6), 944–956. https://doi.org/10.1016/j.tate.2006.05.003
  79. Utley, C. A., & Obiakor, F. E. (2012). Response to intervention and positive behavior interventions and supports: Merging models to improve academic and behavioral outcomes of culturally and linguistically diverse children with learning disabilities. Insights on Learning Disabilities: From Prevailing Theories to Validated Practices, 9(1), 37–68.
  80. What Works Clearinghouse. (2020). Standards Handbook (version 4.1). Institute of Education Sciences. https://ies.ed.gov/ncee/wwc/Docs/referenceresources/WWC-Standards-Handbook-v4-1-508.pdf
  81. Wong, H. K., & Wong, R. T. (2018). The classroom management book. Harry K. Wong Publications.
  82. Yorgancı, S., & Terzioğlu, Ö. (2016). The Effect of using interactive whiteboard in mathematics instruction on achievement and attitudes toward mathematics. Kastamonu Education Journal, 21(3), 919–930.
  83. Zaranis, N., Kalogiannakis, M., & Papadakis, S. (2013). Using mobile devices for teaching realistic mathematics in kindergarten education. Creative Education, 4(7), 1–10. http://dx.doi.org/10.4236/ce.2013.47A1001
  84. Zawacki-Richter, O., Kerres, M., Bedenlier, S., Bond, M., & Buntins, K. (Eds.). (2020). Systematic reviews in educational research: Methodology, perspectives and application. Springer