Figures and Tables

In: Good Teachers for Tomorrow's Schools
Editors:
Elina Kuusisto
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Martin Ubani
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Petri Nokelainen
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Auli Toom
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Pages:
ix
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Figures
1.1 Fundamental and transversal characteristics of good teachers. 6
3.1 The role and personal characteristics of teachers’ moral authenticity. 62
7.1 Emerging professionalism through value learning trajectories (Lamminmäki-Vartia et al., 2020, on the basis of Kuusisto & Gearon, 2017a). 132
13.1 Theoretical competence model for intrapreneurship (cognition). 264
13.2 Example task from dimension I: Creating a GANTT-Chart (observation). 266
13.3 Example task from dimension II: Perspective Taking and Reasoning (observation). 270
13.4 Empirical IP competence model (Wright-map) (interpretation). 271
Tables
1.1 Characteristics of good teachers and good teaching. 2
6.1 Total distribution in categories of conceptions of the sacred (adapted from Ranta et al., 2016). 117
7.1 Selection of empirical studies used in the present examination. 134
10.1 Educational trends and gifted education in Finland. 197
10.2 A summary of the critical factors of talent development identified in Finnish empirical studies. 204
11.1 Gifted kindergarten EL students observed in each class of two schools (N = 8). 225
11.2 Student motivation levels in regular and after-school Project BRIDGE’s math classes. 226
11.3 Comparison of motivation levels in students with different levels of English proficiency and math ability, pre- and post-implementation of the BRIDGE math program. 226
11.4 Observation scale of teachers’ instructional strategies for teaching math. 229
11.5 Mean and standard deviation of frequency of strategies and math open-response scores. 231
11.6 Two-level hierarchical linear modeling of Open-response assessment scores with Talk Moves and pre-test scores. 232
11.7 Effects of teachers’ use of instructional strategies on students’ Open-response assessment scores. 233
12.1 Goal orientation items. 246
12.2 Metacognitive and resource management strategy items. 247
12.3 Bivariate correlations between goal orientations and metacognitive and resource management strategies (N = 137). 248
12.4 Association of achievement goal orientations with WorldSkills competition success. 250
12.5 Association of metacognition and self-regulation with WorldSkills competition success. 250
14.1 Concepts as used in this chapter and their descriptions. 284
16.1 Key similarities and differences between the acoustic signals and expressive features of speech and music. 316
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Good Teachers for Tomorrow's Schools

Purpose, Values, and Talents in Education

Series:  Moral Development and Citizenship Education, Volume: 16
Cover Good Teachers for Tomorrow's Schools
E-Book ISBN:
9789004465008
Publisher:
Brill
Print Publication Date:
30 Mar 2021
Front Matter
Copyright page
Figures and Tables
Notes on Contributors
Introduction
Part 1 Ethical and Purposeful Teachers and Teaching
Chapter 1 Equity and Quality as Aims of Education
Chapter 2 The New Professionalism?
Chapter 3 Teachers’ Moral Authenticity
Chapter 4 Design and Implementation of the National Aims for Finnish Teacher Education during 2016–2019
Chapter 5 Promoting Purpose Development in Schools and Beyond
Chapter 6 What Is above Everything?
Chapter 7 Children’s and Youths’ Perspectives on Value Diversity in Education
Chapter 8 The Learning Ambience of Values Pedagogy
Chapter 9 Religious Literacy as a 21st Century Skill for All Teachers
Part 2 Supporting Talent Development with a Growth Mindset
Chapter 10 Education of the Gifted and Talented in Finland
Chapter 11 Recognition, Expectation, and Differentiation for Mathematical Talent Development of Young Gifted English Learners
Chapter 12 Reaching for Medals and Vocational Excellence?
Chapter 13 Measuring Apprentices’ Intrapreneurship Competence in Vocational Education and Training (VET)
Chapter 14 Creative Talent as Emergent Event
Chapter 15 A Socio-Cultural Approach to Growth-Mindset Pedagogy
Chapter 16 Experimental Evidence on Connections between Speech and Music
Epilogue Growth Mindset and Purpose in Critical-Democratic Citizenship Education
Back Matter
Index

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