Skip to main content

Inquiry-Based Learning in Computer Science Classroom

  • Conference paper
  • First Online:
  • 1316 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11913))

Abstract

Inquiry-based learning in Slovak schools is still considered to be an innovative approach to teaching based on the active exploration of new knowledge by pupils themselves. It allows deeper involvement of pupils in the learning process, encourages motivation and differentiation with respect to individual learning preferences, creates space for pupils to develop cooperation and communication skills. Inquiry is a natural cognitive process for pupils, but its wider application is mostly in biology, chemistry or physics classrooms, while computer science in Slovak schools is still dominated by instructive teaching strategies. In the frame of the National project IT Academy we have focused on different fields of the computer science curriculum and we have implemented the 5E instructional model as an inquiry-based learning approach in 40 primary school lessons and 40 secondary school lessons. We provide teachers with complete lesson plans, including worksheets, supplementary work files and materials, or reference materials. These educational materials are being tested by teachers in Slovak schools. For both primary and secondary school teachers, we organize also professional development courses on innovative teaching strategies in the computer science classroom to make it easier for them to implement these new classroom learning practices. This paper presents the results of a survey on teachers’ perception, attitudes, experiences, misconceptions and barriers to inquiry-based teaching strategies in computer science classrooms as the classroom teacher plays a key role in the successful implementation of these new learning strategies. Our research investigates how different factors affect teachers when considering the inquiry-based learning and its successful implementation in computer science classrooms highlights two major underlying factors, the teacher’s personal contribution factor and a factor representing a collection of the teacher’s readiness and teaching skills, which are further discussed.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Truesdell, P.: Engineering Essentials for STEM Instruction: How Do I Infuse Real-World Problem Solving into Science, Technology, and Math? ASCD, Alexandria (2014)

    Google Scholar 

  2. Rocard, M., Csermely, P., Jorde, D., Lenzen, D., Walberg-Henriksson, H., Hemmo, V.: Science Education NOW: A Renewed Pedagogy for the Future of Europe. Office for Official Publications of the European Communities, Luxembourg (2007). http://ec.europa.eu/research/science-society/document_library/pdf_06/report-rocard-on-science-education_en.pdf. ISBN 978-92-79-05659-8

  3. Kireš, M., Ješková, Z., Ganajová, M., Kimáková, K.: Bádateľské aktivity v prírodovednom vzdelávaní, časť A. ŠPÚ, Bratislava, SVK (2016). ISBN 978-80-8118-155-9

    Google Scholar 

  4. Šnajder, Ľ., Guniš, J.: Inquiry based learning of selected computer sciences concepts and principles. ICTE J. 1(1), 28–39 (2012). https://doi.org/10.1515/ijicte-2012-0003

    Article  Google Scholar 

  5. Vaníček, J.: Programming in scratch using inquiry-based approach. In: Brodnik, A., Vahrenhold, J. (eds.) ISSEP 2015. LNCS, vol. 9378, pp. 82–93. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25396-1_8

    Chapter  Google Scholar 

  6. Gordon, N., Brayshaw, M.: Inquiry based learning in computer science teaching in higher education. Innov. Teach. Learn. Inf. Comput. Sci. 7(1), 22–33 (2008). https://doi.org/10.11120/ital.2008.07010022

    Article  Google Scholar 

  7. Bybee, R.W., et al.: BSCS 5E instructional model: origins and effectiveness. BSCS, Colorfado Springs (2006). http://bscs.org/sites/default/files/_media/about/downloads/BSCS_5E_Full_Report.pdf

  8. National project IT Academy - education for 21st century. http://itakademia.sk/

  9. Han, J., Kamber, M., Pei, J.: Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers Inc., San Francisco (2011)

    Google Scholar 

  10. Larose, D.T., Larose, C.D.: Data Mining and Predictive Analytics. Wiley, Hoboken (2015)

    Google Scholar 

  11. Chráska, M.: Metody pedagogického výzkumu. Grada, Praha (2007). ISBN 978-80-247-1369-4

    Google Scholar 

  12. Ramnarain, U., Hlatswayo, M.: Teacher beliefs and attitudes about inquiry-based learning in a rural school district in South Africa. S. Afr. J. Educ. 38(1), 1–10 (2018). https://doi.org/10.15700/saje.v38n1a1431. Art. # 1431

    Article  Google Scholar 

  13. Dostál, J.: Inquiry-based instruction: concept, essence, importance and contribution. Univerzita Palackého, Olomouc (2015). https://doi.org/10.5507/pdf.15.24445076

  14. Šnajder, Ľ., Guniš, J.: Bádateľsky orientované vyučovanie informatiky - priebežné výsledky pedagogického výskumu. In: Brodenec, I., et al. (eds.) Proceedings of conference DidInfo 2016, pp. 116–123. Matej Bel University, Faculty of Natural Sciences in Banská Bystrica, Slovakia (2016). ISBN 978-80-557-1082-2

    Google Scholar 

Download references

Acknowledgements

This article was created in the framework of the National project IT Academy – Education for the 21st Century, ITMS: 312011F057, which is supported by the European Social Fund and the European Regional Development Fund in the framework of the Operational Programme Human Resources and in the frame of project KEGA 029UKF-4/2018 Innovative Methods in Programming Education in the University Education of Teachers and IT Professionals.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zuzana Tkáčová .

Editor information

Editors and Affiliations

A Correlation matrix (Pearson(n))

A Correlation matrix (Pearson(n))

Variables

Theoretical background

Personal identification with 5E

Practical experience with IBL teaching

Practical experience with development of IBL materials

Interest in using of developed IBL materials

Interest in development of own IBL materials

IBL is useful for Computer Science

IBL benefits for pupils

Appropriate IBL usage

Course type

Teaching experience

Sex

School type

Theoretical background

1

0,279

0,066

0,069

0,157

−0,037

0,171

−0,043

0,011

0,260

0,371

0,101

0,137

Personal identification with 5E

0,279

1

0,286

0,397

0,060

0,254

0,361

0,094

0,100

0,149

0,004

−0,117

−0,030

Practical experience with IBL teaching

0,066

0,286

1

−0,021

0,161

0,092

0,135

−0,038

0,100

0,263

0,054

−0,069

0,048

Practical experience with development of IBL materials

0,069

0,397

−0,021

1

0,400

0,614

0,276

−0,028

−0,080

−0,044

−0,123

−0,105

−0,044

Interest in using of developed IBL materials

0,157

0,060

0,161

0,400

1

0,404

0,463

0,107

−0,085

0,034

0,166

−0,125

0,135

Interest in development of own IBL materials

−0,037

0,254

0,092

0,614

0,404

1

0,467

−0,061

−0,032

−0,097

−0,032

−0,018

−0,039

IBL is useful for Computer Science

0,171

0,361

0,135

0,276

0,463

0,467

1

0,227

0,094

0,051

0,025

−0,197

−0,041

IBL benefits for pupils

−0,043

0,094

−0,038

−0,028

0,107

−0,061

0,227

1

0,132

0,063

0,286

−0,256

0,158

Appropriate IBL usage

0,011

0,100

0,100

−0,080

−0,085

−0,032

0,094

0,132

1

0,209

0,225

−0,150

−0,293

Course type

0,260

0,149

0,263

−0,044

0,034

−0,097

0,051

0,063

0,209

1

0,317

−0,301

0,010

Teaching experience

0,371

0,004

0,054

−0,123

0,166

−0,032

0,025

0,286

0,225

0,317

1

−0,212

0,026

Sex

0,101

−0,117

−0,069

−0,105

−0,125

−0,018

−0,197

−0,256

−0,150

−0,301

−0,212

1

0,012

School type

0,137

−0,030

0,048

−0,044

0,135

−0,039

−0,041

0,158

−0,293

0,010

0,026

0,012

1

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Tkáčová, Z., Šnajder, Ľ., Guniš, J. (2019). Inquiry-Based Learning in Computer Science Classroom. In: Pozdniakov, S., Dagienė, V. (eds) Informatics in Schools. New Ideas in School Informatics. ISSEP 2019. Lecture Notes in Computer Science(), vol 11913. Springer, Cham. https://doi.org/10.1007/978-3-030-33759-9_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-33759-9_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33758-2

  • Online ISBN: 978-3-030-33759-9

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics