This book covers a qualitative study on the programming competencies of novice learners in higher education. To be precise, the book investigates the expected programming competencies within basic programming education at universities and the extent to which the Computer Science curricula fail to provide transparent, observable learning outcomes and assessable competencies. The study analyzes empirical data on 35 exemplary universities' curricula and interviews with experts in the field. The book covers research desiderata, research design and methodology, an in-depth data analysis, and a presentation and discussion of results in the context of programming education. Addressing programming competency in such great detail is essential due to the increasing relevance of computing in today’s society and the need for competent programmers who will help shape our future. Although programming is a core tier of computing and many related disciplines, learning how to program can be challenging in higher education, and many students fail in introductory programming. The book aims to understand what programming means, what programming competency encompasses, and what teachers expect of novice learners. In addition, it illustrates the cognitive complexity of programming as an advanced competency, including knowledge, skills, and dispositions in context. So, the purpose is to communicate the breadth and depth of programming competency to educators and learners of programming, including institutions, curriculum designers, and accreditation bodies. Moreover, the book’s goal is to represent how a qualitative research methodology can be applied in the context of computing education research, as the qualitative research paradigm is still an exception in computing education research. The book provides new insights into programming competency. It outlines the components of programming competencies in terms of knowledge, skills, and dispositions and their cognitive complexity according to the CC2020 computing curricula and the Anderson-Krathwohl taxonomy of the cognitive domain. These insights are essential as programming constitutes one of the most relevant competencies in all computing study programs. In addition, being able to program describes the capability of solving problems, which is also a core competency in today’s increasingly digitalized society. In particular, the book reveals the great relevance of dispositions and other competency components in programming education, which curricula currently fail to recognize and specify. In addition, the book outlines the resulting implications for higher education institutions, educators, and student expectations. Yet another result of interest to graduate students is the multi-method study design that allows for the triangulation of data and results. Weniger zeigen

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Produktinformationen

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Erscheinungsdatum

03.01.2024

Sprache

Englisch

EAN

9783031471476

Herausgeber

Springer International Publishing

Sonderedition

Nein

Autor

Natalie Kiesler

Seitenanzahl

165

Einbandart

Gebundene Ausgabe

Buch Untertitel

A Qualitative Analysis

Autorenporträt

Dr. Natalie Kiesler is currently a senior researcher at the Educational Computer Science group at the DIPF | Leibniz Institute for Research and Information in Education, and a lecturer at the Computer Science department at Goethe University Frankfurt, Germany. Her research focuses on competency, educational technologies, and feedback in the context of computing education. She has received several awards for her work, including the Best Demo Award at the Educational Technologies Conference (DELFI), and the Hessian University Award for Excellence in University Teaching. She is also involved in various committees and reviews for several conferences and journals within the computing education research and education technology community. She also initiated and led a working group of the German Informatics Society to promote and investigate Open Data Practices in Educational Technology Research.

Schlagwörter

Programming Education, Programming Competency, Learning Programming, Curricula Design, Curricula Analysis, Competency Modeling, Guided Interviews, Qualitative Content Analysis, Competency-based education, Competency, Dispositions, Learning objectives, University curricula, Computing education, Computer science, Introductory programming, Basic programming education, Novice programmer

Thema-Inhalt

JNV - Lehrmittel, Lerntechnologien, E-Learning UM - Computerprogrammierung und Softwareentwicklung

Höhe

235 mm

Breite

15.5 cm

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Modeling Programming Competency

Natalie Kiesler (Gebundene Ausgabe, Englisch)

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