Araştırma Makalesi
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Yıl 2024, Cilt: 11 Sayı: 1, 66 - 88, 01.01.2024
https://doi.org/10.17275/per.24.5.11.1

Öz

Proje Numarası

SYL-2021-3413

Kaynakça

  • Açıkgül Fırat, E., & Özden, M. (2015). Developing a Scale for the Use of ICT through Scientific Process of Preservice Teachers. Gazi University Journal of Gazi Educational Faculty, 35(1), 1–25. https://doi.org/10.17152/gefad.77668
  • Ahmadzadeh, M., Elliman, D., & Higgins, C. (2005). An analysis of patterns of debugging among novice computer science students. ACM SIGCSE Bulletin, 37(3), 84-88. https://doi.org/10.1145/1151954.1067472
  • Akgül, H. (2021). Examining the relationship between critical thinking and decoding skills-ict. (Unpublished master’s thesis). Çanakkale Onsekiz Mart University, Turkey.
  • Akın, A., Abacı, R., & Çetin, B. (2007). The validity and reliability of the Turkish version of the Metacognitive Awareness Inventory. Educational Sciences: Theory & Practice, 7(2), 655–680. https://jestp.com/
  • Algozzine, B., Mcquiston, K., O’shea, D., & Mccollin, M. (2008). Improving phonological awareness and decoding skills of high school students from diverse backgrounds. Preventing School Failure: Alternative Education for Children And Youth, 52(2), 67–72. https://doi.org/10.3200/PSFL.52.2.67-72
  • Allen, J. (1985). Inferential comprehension: The effects of text source, decoding ability, and mode. Reading Research Quarterly, 20(5), 603–615. https://doi.org/10.2307/747946
  • Altun, A., & Mazman, S. G. (2012). Programlamaya ilişkin Öz Yeterlilik Algısı Ölçeğinin Türkçe formunun güvenirlik ve geçerlik çalışması [Reliability and validity study of the Turkish form of the Self-Efficacy Perception Scale for Programming]. Journal of Measurement and Evaluation in Education and Psychology, 3(2), 297–308. https://dergipark.org.tr/en/pub/epod
  • Apel, K., & Swank, L. K. (1999). Second chances: Improving decoding skills in the older student. Language, Speech, and Hearing Services in Schools, 30(3), 231–242. https://doi.org/10.1044/0161-1461.3003.231
  • Aşkar, P., & Mazman, S. G. (2013). Adaptation of Online Information Searching Strategy Inventory into Turkish. Education and Science, 38(168), 167–182. http://egitimvebilim.ted.org.tr
  • Bagozzi, R. P. (2010). Structural equation models are modelling tools with many ambiguities: Comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20(2), 208–214. https://doi.org/10.1016/j.jcps.2010.03.001
  • Bauer, H. H., Sauer, N. E., & Becker, C. (2006). Investigating the relationship between product involvement and consumer decision-making styles. Journal of Consumer Behaviour, 5(4), 342–354. https://doi.org/10.1002/cb.185
  • Böttcher, A., Thurner, V., Schlierkamp, K., & Zehetmeier, D. (2016). Debugging students’ debugging process. 2016 IEEE Frontiers in Education Conference (FIE), Erie, PA, USA, 1-7, https://doi.org/10.1109/FIE.2016.7757447
  • Brennan, K., & Resnick, M. (2012). Using artifact-based interviews to study the development of computational thinking in interactive media design. Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, BC, Canada. https://scratched.gse.harvard.edu/ct/files/AERA2012.pdf
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. Choice Reviews Online. New York, NY: Guilford Press. https://doi.org/10.5860/choice.44-2769
  • Buluş, M., Atan, A., & Sarıkaya, H. E. (2017). Effective Communication Skills: A New Conceptual Framework and Scale Development Study. International Online Journal of Educational Sciences, 9(2), 575–590. https://doi.org/10.15345/iojes.2017.02.020
  • Burgoon, J. K., & Bacue, A. E. (2003). Nonverbal communication skills. In J. O. Greene & B. R. Burleson (Ed.), Handbook of communication and social interaction skills (179–219). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Büyüköztürk, Ş. (2013). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum (18. Baskı) [Handbook of data analysis for the social sciences: Statistics, research design, SPSS applications, and interpretation (18th ed.)]. Ankara: Pegem Akademi Yayıncılık.
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  • Corcoran, C., Stupacher, J., & Vuust, P. (2022). Swinging the score? Swing phrasing cannot be communicated via explicit notation instructions alone. Music Perception, 39(4), 386-400. https://doi.org/10.1525/mp.2022.39.4.386
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The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework

Yıl 2024, Cilt: 11 Sayı: 1, 66 - 88, 01.01.2024
https://doi.org/10.17275/per.24.5.11.1

Öz

Decoding skills of individuals can be observed in different fields, one of which is information and communication technologies (ICT). Within the scope of the current study decoding skills are a new concept. There is no measurement tool available in the literature. At this point, the researchers aimed (1) to develop the ICT-Decoding Skills Scale and to conduct a validity and reliability study and (2) to identify undergraduate preservice teachers’ level of ICT-Decoding skills, studying in faculties of education. The participants of the study involved a total of 1580 faculty of education students studying in 59 different universities in Turkey. The ICT-Decoding Skills Scale is a 4-factor, 5-point Likert-type scale comprising of 23 items. CFA results showed that model fit indices were calculated as the following: [χ2=897.841; df=219; χ2/df=4.100 p<.001; GFI=.873; AGFI=.840; CFI=.938; NFI=.920; NNFI(TLI)=.928; RMSEA=.070; RMR=.068; SRMR=.060]. When the internal consistencies were analyzed, Cronbach’s Alpha value for the overall scale was (α=.94). As to address the second aim of the study, the ICT-decoding skills of preservice teachers were examined. Preservice teachers’ ICT-decoding skills were found to be at a high level in the overall scale. However, in the subscales, they were observed to have medium and low levels of skills. Similarly, low levels of sensemaking, debugging and problem-solving skills were observed in their Coding Skills. At this point, preservice teachers are suggested to be supported in advanced technical skills, safety and social skills in digital environment and coding skills in addition to basic digital skills.

Destekleyen Kurum

Çanakkale Onsekiz Mart University, Scientific Research Projects Coordination Unit

Proje Numarası

SYL-2021-3413

Teşekkür

This study was produced from Hakan Akgül’s MA thesis entitled "Examining the Relationship between Critical Thinking and Decoding Skills-ICT" conducted under the consultancy of Assoc. Prof. Dr. Özden Şahin İzmirli. This study is supported by Çanakkale Onsekiz Mart University, Scientific Research Projects Coordination Unit. Project Number: SYL-2021-3413.

Kaynakça

  • Açıkgül Fırat, E., & Özden, M. (2015). Developing a Scale for the Use of ICT through Scientific Process of Preservice Teachers. Gazi University Journal of Gazi Educational Faculty, 35(1), 1–25. https://doi.org/10.17152/gefad.77668
  • Ahmadzadeh, M., Elliman, D., & Higgins, C. (2005). An analysis of patterns of debugging among novice computer science students. ACM SIGCSE Bulletin, 37(3), 84-88. https://doi.org/10.1145/1151954.1067472
  • Akgül, H. (2021). Examining the relationship between critical thinking and decoding skills-ict. (Unpublished master’s thesis). Çanakkale Onsekiz Mart University, Turkey.
  • Akın, A., Abacı, R., & Çetin, B. (2007). The validity and reliability of the Turkish version of the Metacognitive Awareness Inventory. Educational Sciences: Theory & Practice, 7(2), 655–680. https://jestp.com/
  • Algozzine, B., Mcquiston, K., O’shea, D., & Mccollin, M. (2008). Improving phonological awareness and decoding skills of high school students from diverse backgrounds. Preventing School Failure: Alternative Education for Children And Youth, 52(2), 67–72. https://doi.org/10.3200/PSFL.52.2.67-72
  • Allen, J. (1985). Inferential comprehension: The effects of text source, decoding ability, and mode. Reading Research Quarterly, 20(5), 603–615. https://doi.org/10.2307/747946
  • Altun, A., & Mazman, S. G. (2012). Programlamaya ilişkin Öz Yeterlilik Algısı Ölçeğinin Türkçe formunun güvenirlik ve geçerlik çalışması [Reliability and validity study of the Turkish form of the Self-Efficacy Perception Scale for Programming]. Journal of Measurement and Evaluation in Education and Psychology, 3(2), 297–308. https://dergipark.org.tr/en/pub/epod
  • Apel, K., & Swank, L. K. (1999). Second chances: Improving decoding skills in the older student. Language, Speech, and Hearing Services in Schools, 30(3), 231–242. https://doi.org/10.1044/0161-1461.3003.231
  • Aşkar, P., & Mazman, S. G. (2013). Adaptation of Online Information Searching Strategy Inventory into Turkish. Education and Science, 38(168), 167–182. http://egitimvebilim.ted.org.tr
  • Bagozzi, R. P. (2010). Structural equation models are modelling tools with many ambiguities: Comments acknowledging the need for caution and humility in their use. Journal of Consumer Psychology, 20(2), 208–214. https://doi.org/10.1016/j.jcps.2010.03.001
  • Bauer, H. H., Sauer, N. E., & Becker, C. (2006). Investigating the relationship between product involvement and consumer decision-making styles. Journal of Consumer Behaviour, 5(4), 342–354. https://doi.org/10.1002/cb.185
  • Böttcher, A., Thurner, V., Schlierkamp, K., & Zehetmeier, D. (2016). Debugging students’ debugging process. 2016 IEEE Frontiers in Education Conference (FIE), Erie, PA, USA, 1-7, https://doi.org/10.1109/FIE.2016.7757447
  • Brennan, K., & Resnick, M. (2012). Using artifact-based interviews to study the development of computational thinking in interactive media design. Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, BC, Canada. https://scratched.gse.harvard.edu/ct/files/AERA2012.pdf
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. Choice Reviews Online. New York, NY: Guilford Press. https://doi.org/10.5860/choice.44-2769
  • Buluş, M., Atan, A., & Sarıkaya, H. E. (2017). Effective Communication Skills: A New Conceptual Framework and Scale Development Study. International Online Journal of Educational Sciences, 9(2), 575–590. https://doi.org/10.15345/iojes.2017.02.020
  • Burgoon, J. K., & Bacue, A. E. (2003). Nonverbal communication skills. In J. O. Greene & B. R. Burleson (Ed.), Handbook of communication and social interaction skills (179–219). Mahwah, NJ: Lawrence Erlbaum Associates.
  • Büyüköztürk, Ş. (2013). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum (18. Baskı) [Handbook of data analysis for the social sciences: Statistics, research design, SPSS applications, and interpretation (18th ed.)]. Ankara: Pegem Akademi Yayıncılık.
  • Can, A. (2013). SPSS ile bilimsel araştırma sürecinde nicel veri analizi [Quantitative data analysis in the scientific research process with SPSS]. Ankara: Pegem Akademi Yayıncılık.
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  • İlhan, M., & Çetin, B. (2014). Comparing the analysis results of the Structural Equation Models (SEM) Conducted Using LISREL and AMOS. Journal of Measurement and Evaluation in Education and Psychology, 5(2) 26-42. https://doi.org/10.21031/epod.31126
  • Jang, Y., Choi, S., Kim, S., & Kim, H. (2023). The SNS-based E-mentoring and Development of Computational Thinking for Undergraduate Students in an Online Course. Educational Technology & Society, 26(2), 147-164. https://doi.org/10.30191/ETS.202304_26(2).0011
  • Kaarakainen, M. T., Kivinen, O., & Vainio, T. (2017). Performance-based testing for ICT skills assessing: a case study of students and teachers’ ICT skills in Finnish schools. Universal Access in the Information Society, 17(2), 349–360. https://doi.org/10.1007/s10209-017-0553-9
  • Kasalak, İ. (2017). Effects of robotic coding activities on the effectiveness of secondary school students 'self-efficacy and student experience about activities. (Unpublished master’s thesis). Hacettepe University, Ankara.
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  • Kirby, E. M. (2018). The effect of color coding exterior letters of words on reading fluency and decoding ability in intermediate students who read below grade level (Order No. 10840443). In ProQuest Dissertations & Theses Global. (2102586290). Liberty University: Lynchburg, VA.
  • Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford.
  • Korkmaz, Ö., Çakir, R., & Özden, M. Y. (2017). A validity and reliability study of the computational thinking scales (CTS). Computers in Human Behavior, 72, 558–569. https://doi.org/10.1016/j.chb.2017.01.005
  • Korkmaz, Ö., Çakır, R., Özden, M. Y., Oluk, A., & Sarıoğlu, S. (2015). Bireylerin Bilgisayarca Düşünme Becerilerinin Farklı Değişkenler Açısından İncelenmesi [Investigation of individuals’ Computational Thinking Skills in terms of different variables.] Ondokuz Mayis University Journal of Faculty of Education, 34(2), 68–87. https://doi.org/10.7822/omuefd.34.2.5
  • Kuş, Z., Güneş, E., Başarmak, U., & Yakar, H. (2017). Development of a Digital Citizenship Scale for Youth: A validity and reliability study. Journal of Computer and Education Research, 5(10), 298–316. https://doi.org/10.18009/jcer.335806
  • Lee, D. Y., Hallberg, E. T., Kocsis, M., & Haase, R. F. (1980). Decoding skills in nonverbal communication and perceived interviewer effectiveness. Journal of Counseling Psychology, 27(1), 89–92. https://doi.org/10.1037/0022-0167.27.1.89
  • Masuck, C., Alves-Foss, J., & Oman, P. (2008). Analysis of fault models for student use. ACM SIGCSE Bulletin, 40(2), 79–83. https://doi.org/10.1145/1383602.1383640
  • Merolla, A. J. (2006). Decoding ability and humor production. Communication Quarterly, 54(2), 175–189. https://doi.org/10.1080/01463370600650886
  • Mill, J. (1984). High and low self-monitoring individuals: Their decoding skills and empathic expression. Journal of Personality, 52(4), 372–388. https://doi.org/10.1111/j.1467-6494.1984.tb00358.x
  • Mueller, R. O., & Hancock, G. R. (2001). Factor Analysis and Latent Structure, Confirmatory. International Encyclopedia of the Social & Behavioral Sciences, 5239–5244. https://doi.org/doi:10.1016/b0-08-043076-7/00426-5
  • Nascimento, F. P., & Franco, S. A. P. (2017).World knowledge by digital reading: A study with university. Revista Ibero-Americana de Estudos em Educação, 12(2), 1511–1523. https://doi.org/10.21723/riaee.v12.n.esp.2.10306
  • Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd Ed.). New York: McGraw-Hill.
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  • Parrila, R., Inoue, T., Dunn, K. et al., (2023) Connecting teachers’ language knowledge, perceived ability and instructional practices to Grade 1 students’ literacy outcomes. Reading and Writing. https://doi.org/10.1007/s11145-023-10432-4
  • Phillips, J. L. (1975). The origins of intellect : Piaget’s theory (2nd ed.). W. H. Freeman and Company.
  • Piaget, J. (1965). The origins of intelligence in children. In International Universities Press (3rd ed.). International University Press, New York.
  • Plourde, V., Boivin, M., Forget-Dubois, N., Brendgen, M., Vitaro, F., Marino, C., Tremblay, R. T., & Dionne, G. (2015). Phenotypic and genetic associations between reading comprehension, decoding skills, and ADHD dimensions: Evidence from two population-based studies. Journal of Child Psychology and Psychiatry, 56(10), 1074–1082. https://doi.org/10.1111/jcpp.12394
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  • Semerci, Ç. (2016). Developing a Lateral Thinking Disposition (LATD) Scale: A validity and reliability study. Journal of Theory & Practice in Education (JTPE), 12(1), 358–371. https://doi.org/10.17244/eku.05568
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  • Şimşek, Ö., & Yazar, T. (2016). Education Technology Standards Self-Efficacy (ETSSE) Scale: A validity and reliability study. Eurasian Journal of Educational Research, 63, 311–334. https://doi.org/10.14689/ejer.2016.63.18
  • Standl, B. (2017). Solving everyday challenges in a computational way of thinking. In: Dagienė, V., Hellas, A. (eds) Informatics in Schools: Focus on Learning Programming. ISSEP 2017. Lecture Notes in Computer Science, vol 10696. Springer, Cham. https://doi.org/10.1007/978-3-319-71483-7_15
  • Sümer, N. (2000). Yapisal Eşitlik Modelleri: Temel Kavramlar ve Örnek Uygulamalar [Structural Equation Modeling: Basic Concepts and Applications]. Turkish Psychological Review, 3(6), 49–74. https://psikolog.org.tr/yayinlar/turk-psikoloji-yazilari
  • Swank, L. K., & Catts, H. W. (1994). Phonological awareness and written word decoding. Language, Speech, and Hearing Services in Schools, 25(1), 9–14. https://doi.org/10.1044/0161-1461.2501.09
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th Ed.). New Jersey: Pearson.
  • Tuğsal, T. (2019). Sense-making theory and Sense-making Scale development study: Sense-making the behaviors, events, signals and differences in the environment. Bingöl University Journal of Social Science, 9(17), 483–492. https://doi.org/10.29029/busbed.499888
  • Wadsworth, B. J. (1989). Piaget’s theory of cognitive and affective development (4th ed.). Longman Inc, London.
  • Yaşlıoğlu, M. M. (2017). Factor analysis and validity in social sciences: Application of exploratory and confirmatory factor analyses. Istanbul Business Research, 46, 74–85. https://dergipark.org.tr/tr/pub/ibr
  • Yüksel-Şahin, F. (1996). Effect of communication skills training within a group upon communication skill levels of university students. Education and Science, 1997, 12–19. http://egitimvebilim.ted.org.tr/
Toplam 85 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Bilgi Sistemleri Eğitimi, Eğitim Psikolojisi
Bölüm Research Articles
Yazarlar

Hakan Akgül 0000-0001-9024-4233

Özden Şahin İzmirli 0000-0003-2595-7266

Proje Numarası SYL-2021-3413
Erken Görünüm Tarihi 16 Aralık 2023
Yayımlanma Tarihi 1 Ocak 2024
Kabul Tarihi 11 Ekim 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 11 Sayı: 1

Kaynak Göster

APA Akgül, H., & Şahin İzmirli, Ö. (2024). The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework. Participatory Educational Research, 11(1), 66-88. https://doi.org/10.17275/per.24.5.11.1