The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework

Hakan Akgül; Özden Şahin İzmirli

doi:10.17275/per.24.5.11.1

EN

The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework

Abstract

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.

Keywords

Debugging, ICT-decoding skills, ICT-Decoding Skills Scale, preservice teachers, problem-solving, sensemaking

Supporting Institution

Çanakkale Onsekiz Mart University, Scientific Research Projects Coordination Unit

Project Number

SYL-2021-3413

Thanks

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.

References

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.
Carton, J. S., Kessler, E. A., & Pape, C. L. (1999). Nonverbal decoding skills and relationship well-being in adults. Journal of Nonverbal Behavior, 23(1), 91–100. https://doi.org/10.1023/A:1021339410262
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
Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2014). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları (3. Baskı) [Multivariate statistics for the social sciences: Applications of SPSS and LISREL (3rd Ed.)]. Ankara: Pegem Akademi Yayıncılık.
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10(7). https://doi.org/10.7275/jyj1-4868
Coursen, D., & Thomas, J. (1989). Communicating. In S. C. Smith & P. K. Piele (Ed.), School Leadership: Handbook for Excellence (Second Edition, pp. 252–271). Eric. ED309504.
DeVellis, R. F. (2012). Scale Development: Theory and Applications (3rd Ed.). Sage Publications, California.
Diamantopoulos, A., & Siguaw, S. (2000). Introducing LISREL a guide for the uninitiated. London: Sage Publications.
Doğanç, E., & Korucu, A. T. (2020). Use of safe internet self-efficacy and perception scale for preservice teachers. Educational Technology Theory and Practice, 10(1), 201–218. https://doi.org/10.17943/etku.623650
Ehri, L. C., & Wilce, L. S. (1982). Recognition of spellings printed in lower and mixed case: Evidence for orthographic images. Journal of Readigng Behavior, 14(3), 219–230. https://doi.org/10.1080/10862968209547451
Ekici, D. İ., & Balım, A. G. (2013). Problem solving skills perception scale for secondary students: a study of validity and reliability. YYU Journal Of Education Faculty, X(I), 67–86. http://efdergi.yyu.edu.tr
Erdem, C., & Koçyiğit, M. (2019). Exploring undergraduates’ digital citizenship levels: Adaptation of the Digital Citizenship Scale to Turkish. Malaysian Online Journal of Educational Technology, 7(3), 22–38. https://doi.org/10.17220/mojet.2019.03.003
Ersanlı, K., & Balcı, S. (1998). Developing a Communication Skills Inventory: Its validity and reliability. Turkish Psychological Counselling and Guidance Journal, 2(10), 7–12. https://dergipark.org.tr/en/pub/tpdrd
Forza, C., & Filippini, R. (1998). TQM impact on quality conformance and customer satisfaction: A causal model. International Journal of Production Economics, 55(1), 1–20. https://doi.org/10.1016/S0925-5273(98)00007-3
Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2012). How to design and evaluate research in education (8th ed.). New York: McGraw-Hill.
Gerbing, D. W., & Anderson, J. C. (1985). The effects of sampling error and model characteristics on parameter estimation for maximum likelihood confirmatory factor analysis. Multivariate Behavioural Research, 20(3), 255–271. https://doi.org/10.1207/s15327906mbr2003_2
Glenn, P., & Hurley, S. R. (1993). Preventing spelling disabilities. Child Language Teaching and Therapy, 9(1), 1–12. https://doi.org/10.1177/026565909300900101
Greenspoon, P. J., & Saklofske, D. H. (1998). Confirmatory factor analysis of the multidimensional Students’ Life Satistaction Scale. Personality and Individual Differences, 25, 965–977. https://doi.org/10.1016/S0191-8869(98)00115-9
Gülbahar, Y., Kert, S. B., & Kalelioglu, F. (2019). The self-efficacy perception scale for Computational Thinking Skill: Validity and reliability study. Turkish Journal of Computer and Mathematics Education, 10, 1-29. https://doi.org/10.16949/turkbilmat.385097
Güldüren, C. (2015). Evaluation of information security awareness level of the facult members. (Unpublished PhD Thesis). Ankara University, Ankara.
Günbatar, M. S. (2014). The study on development of Information and Communication Technology Attitude Scale. Ahi Evran University Kırşehir Faculty of Education Journal, 15(1), 121–135. https://dergipark.org.tr/tr/pub/kefad/issue/59467/854520
Güven, M. (2004). The relationship between learning styles and learning strategies (Unpublished PhD Thesis). Anadolu University, Eskişehir.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Harrington, D. (2009). Confirmatory factor analysis. New York, NY: Oxford University Press.
Henson, R. K., & Roberts, J. K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66(3), 393–416. https://doi.org/10.1177/0013164405282485
Hickman, G. P., Bartholomew, M., Mathwig, J., & Heinrich, R. S. (2008). Differential developmental pathways of high school dropouts and graduates. Journal of Educational Research, 102(1), 3–14. https://doi.org/10.3200/JOER.102.1.3-14
Hinkin, T. R. (1998). A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods, 1(1), 104–121. https://doi.org/10.1177/109442819800100106
Hinton, P. R., McMurray, I., & Brownlow, C. (2014). SPSS explained. New York, NY: Routledge.
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60. https://doi.org/10.21427/D79B73
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037//1082-989x.3.4.424
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.
Kass, R. A., & Tinsley, H. E. A. (1979). Factor Analysis. Journal of Leisure Research, 11(2), 120–138. https://doi.org/10.1080/00222216.1979.11969385
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.
OECD. (2021). ICT Access and usage by households and individuals. Organisation For Economic Co-Operation and Development (OECD). https://stats.oecd.org/Index.aspx?DataSetCode=ICT_HH2
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
Pritchard, S. C., Coltheart, M., Marinus, E., & Castles, A. (2016). Modelling the implicit learning of phonological decoding from training on whole-word spellings and pronunciations. Scientific Studies of Reading, 20(1), 49–63. https://doi.org/10.1080/10888438.2015.1085384
Ruben, M. A., Stosic, M. D., Correale, J., & Blanch-Hartigan, D. (2021). Is technology enhancing or hindering interpersonal communication? A framework and preliminary results to examine the relationship between technology use and nonverbal decoding skill. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.611670
Scherer, R. F., Luther, D. C., Wiebe, F. A., & Adams, J. S. (1988). Dimensionality of coping: Factor stability using the ways of coping questionnaire. Psychological Reports, 62(3), 763–770. https://doi.org/10.2466/pr0.1988.62.3.763
Schreiber, J. B., Stage, F. K., King, J., Nora, A., & Barlow, E. A. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. Journal of Educational Research, 99(6), 323–338. https://doi.org/10.3200/JOER.99.6.323-338
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
Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(4), 379–423, 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb00917.x
Shi, J. (2010). Linking neural activity with perceptual decision making via sparse decoding. Columbia University, New York, NY. In ProQuest Dissertations & Theses Global. (3428702). http://search.proquest.com/docview/762504515?accountid=26975
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/

Details

Primary Language

English

Subjects

Information Systems Education, Educational Psychology

Journal Section

Research Article

Authors

Hakan Akgül ^*
0000-0001-9024-4233
Türkiye

Özden Şahin İzmirli
0000-0003-2595-7266
Türkiye

Early Pub Date

December 16, 2023

Publication Date

January 1, 2024

Submission Date

September 27, 2023

Acceptance Date

October 11, 2023

Published in Issue

Year 2024 Volume: 11 Number: 1

DOI

https://doi.org/10.17275/per.24.5.11.1

IZ

https://izlik.org/JA23HF42GD

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

AMA

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

Chicago

Akgül, Hakan, and Özden Şahin İzmirli. 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.

EndNote

Akgül H, Şahin İzmirli Ö (January 1, 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.

IEEE

[1]H. Akgül and Ö. Şahin İzmirli, “The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework”, PER, vol. 11, no. 1, pp. 66–88, Jan. 2024, doi: 10.17275/per.24.5.11.1.

ISNAD

Akgül, Hakan - Şahin İzmirli, Özden. “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 (January 1, 2024): 66-88. https://doi.org/10.17275/per.24.5.11.1.

JAMA

1.Akgül H, Şahin İzmirli Ö. The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework. PER. 2024;11:66–88.

MLA

Akgül, Hakan, and Özden Şahin İzmirli. “The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework”. Participatory Educational Research, vol. 11, no. 1, Jan. 2024, pp. 66-88, doi:10.17275/per.24.5.11.1.

Vancouver

1.Hakan Akgül, Özden Şahin İzmirli. The Development of the Decoding Skills Scale in Information and Communication Technologies and an Investigation of Preservice Teachers in This Framework. PER. 2024 Jan. 1;11(1):66-88. doi:10.17275/per.24.5.11.1

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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

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