| ISBN |
9783031471483 |
| 기타 표준번호 |
10.1007/978-3-031-47148-3 |
| 청구기호 |
LB1028.43-1028.75 |
| 형태사항 |
XVII, 165 p. 4 illus. online resource.
|
| 언어 |
English |
| 내용 |
1 Introduction -- 1.1 Background and Motivation -- 1.2 Goal and Research Questions -- 1.3 Contextualization of this Research -- 1.4 Structure of the Book -- References -- 2 Approaching the Concept of Competency -- 2.1 Competency Definition -- 2.1.1 Psychological Perspective on Competency -- 2.1.2 Historical Perspective on Competency -- 2.1.3 Recent Perspectives and Discussions -- 22 2.2 Taxonomies and Competency Models for Computing -- 2.2.1 Bloom’s and Anderson-Krathwohl’s Taxonomy -- 2.2.2 Competency Model of the German Informatics Society -- 2.3 Competency-Based Curricula Recommendations in Computing -- 2.3.1 Information Technology 2017 -- 2.3.2 Computing Curricula 2020 -- 2.3.3 National Curricula -- Recommendations -- 2.4 Related Research in Computing Education -- References -- 3 Research Design -- 3.1 Summary of Research Desiderata -- 3.2 Research Goals -- 3.3 Research Questions -- 3.4 Study Design -- References -- Part II Data Gathering and Analysis of University Curricula -- 4 Data Gathering of University Curricula -- 4.1 Goals of Gathering and Analyzing University Curricula -- 4.2 Relevance of Gathering and Analyzing University Curricula -- 4.3 Expectations and Limitations -- 4.4 Sampling and Data Gathering -- 4.4.1 Selection of Bachelor Degree Programs -- 4.4.2 Selection of Content Area -- 4.4.3 Selection of Institutions and Study Programs -- 4.4.4 Selection of Modules -- References -- 5 Data Analysis of University Curricula -- 5.1 Methodology of the Data Analysis -- 5.2 Pre-processing of Data -- 5.2.1 Linguistic Smoothing of Competency Goals -- 5.2.2 Basic Coding Guidelines -- 5.2.3 Computer-Assisted Analysis -- 5.3 Data Analysis -- 5.3.1 Deductive Category Development -- 5.3.2 Inductive Category Development -- 5.3.3 Deductive-Inductive Category Development -- 5.4 Application of Quality Criteria -- References -- Part III Data Gathering and Analysis of Expert Interviews -- Data Gathering of Guided Expert Interviews -- 6.1 Goals of Conducting and Analyzing Guided Expert Interviews -- 6.2 Relevance of Conducting and Analyzing Guided Expert Interviews -- 6.3 Expectations and Limitations -- 6.4 Developing an Interview Guide and Questions -- 6.5 Data Gathering and Sampling -- 6.5.1 Selecting and Contacting Experts -- 6.5.2 Conducting the Interviews -- 6.5.3 Recording the Interviews -- References -- 7 Data Analysis of Guided Expert Interviews -- 7.1 Pre-processing of Data -- 7.1.1 Transcription Guidelines -- 7.1.2 Transcription System -- 7.1.3 Transcription Process -- 7.2 Data Analysis -- 7.3 Application of Quality Criteria References -- Part IV Results 8 Results of University Curricula Analysis -- 8.1 Cognitive Competencies -- 8.1.1 Cognitive Process Dimension Remembering -- 8.1.2 Cognitive Process Dimension Understanding -- 8.1.3 Cognitive Process Dimension Applying -- 8.1.4 Cognitive Process Dimension Analyzing -- 8.1.5 Cognitive Process Dimension Evaluating -- 8.1.6 Cognitive Process Dimension Creating -- 8.1.7 Knowledge Dimensions -- 8.2 Other Competencies -- 8.3 Reliability -- 8.4 Discussion of Results -- References -- 9 Results of Guided Expert Interviews -- 9.1 Cognitive Competencies -- 9.2 Other Competencies -- 9.3 Factors Preventing Programming Competency -- 9.4 Factors Contributing to Programming Competency -- 9.5 Reliability -- 9.6 Discussion of Results -- References -- 10 Summarizing and Reviewing the Components of Programming Competency -- 10.1 Summary of Cognitive Programming Competencies -- 10.2 Summary of Other Programming Competency Components -- 10.3 Review of the Anderson Krathwohl Taxonomy -- References -- Part V Wrap Up -- 11 Conclusion -- 11.1 Brief Summary of Results -- 11.1.1 Competencies Expected from Novice Programmers -- 11.1.2 Adequacy of the Anderson Krathwohl Taxonomy -- 11.1.3 Factors Influencing Students’ Competency Development -- 11.2 Conclusions -- 11.3 Future Work. References -- 12 Complete List of References.
|
| 주제 |
Education --Data processing.
Educational technology.
Computer programming.
Computers and Education.
Digital Education and Educational Technology.
Programming Techniques.
|
| 보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9783031471476
Printed edition: 9783031471490
Printed edition: 9783031471506
|
| QR CODE |
|
