Loading...

Science Teachers’ Innovative Work Behavior

Factors and Actors

by Palmira Pečiuliauskienė (Author) Lina Kaminskienė (Author)
©2022 Monographs 202 Pages

Summary

The last decades have demonstrated growing calls for innovations associated with science teaching methods. In the light of science education reforms, teaching methods have focused on scientific inquiry, discovery, and other constructivist approaches.
Research on innovations in science education raises discussion about the application of new technology, a need to infuse arts and social emotional learning content into science education, and use of innovative models to improve critical thinking skills and enhance teachers’ self-efficacy. However, there is a lack of research on innovative work behavior of science teachers’ personal, cognitive, and environmental factors.
The researchers in this book address to the phenomenon of innovative work behavior and aim to reveal the associations between the science teachers’ innovative work behavior and personal, cognitive, and environmental factors.

Table Of Contents

  • Cover
  • Title
  • Copyright
  • About the authors
  • About the book
  • This eBook can be cited
  • Contents
  • Acknowledgment
  • Introduction
  • 1. Theoretical background of the innovative work behavior of science teachers
  • 1.1. Innovations in science education: The issue of Diffusion theory
  • 1.1.1. The concept of innovation
  • 1.1.2. Theories of innovations
  • 1.2. The concept of innovative work behavior
  • 1.3. Psychological background of innovative work behavior
  • 2. Methodology
  • 2.1. Basic paradigms of science teachers’ innovative work behavior
  • 2.2. Research methods and the design of research articles
  • 3. Empirical insight of factors and actors of science teachers’ innovative work behavior
  • 3.1. The internal structure of science teachers’ innovative work behavior
  • 3.2. Comparative analysis of demographic and educational factors on science teachers’ trying out and sharing new ideas
  • 3.3. The role of organizational commitment in the innovative work behavior of science teachers
  • 3.4. The role of self-confidence in teaching science in the innovative work behavior of science teachers
  • 3.5. The influence of organization leadership support on science teachers’ innovative work behavior
  • 3.6. The associations between professional development, professional, demographic factors and the innovative work behavior of science teachers
  • 4. Discussion
  • 5. Conclusions
  • Approval
  • List of figures
  • List of tables
  • Bibliography
  • Series Index

←6 | 7→

Acknowledgment

We would like to thank everyone who has supported and helped us with completing this monograph. Your assistance has been invaluable to us during this process. We also greatly appreciate the financial support of Vytautas Magnus University for preparing and publishing this monograph.

←8 | 9→

Introduction

Educational innovation plays an important role in society. As stated by Serdyukov, “For an individual, a nation, and humankind to survive and progress, innovation and evolution are essential. Innovations in education are of particular importance because education plays a crucial role in creating a sustainable future” (2017, p. 5). Fulfilling educational innovation requires understanding the meaning of innovation. According to Brewer and Tierney (2012), innovation has two components: new ideas and the changes which results from the adoption of new ideas. “Creativity is thinking up new things. Innovation is doing new things” (Levitt, 2002). Amabile et al. (1996, p. 1154) state that “all innovation begins with creative ideas.” The ability to generate new ideas is not enough for their successful implementation or to put innovation in practice. People who are full of new ideas often do not understand how to implement them in practice (Levitt, 2002).

The implementation of innovations in practice depends on the persons’ work behavior, especially how innovative their approach to work is. Scholars state that innovation behavior is a crucial element of organizational innovative development—the best way to foster innovation for success (Chang, 2018, p. 18; Aziah & Al Amin, 2018, p. 426). The permanent relationship between innovation and science education and its function has been under observation over a long time. Layton (1986) states that innovation has become a permanent feature of science education not only in curriculum content but also in the associated teaching methods and materials. “Innovation in science education is less a characteristic of a particular period in time than normal and continuing process. The rapid advance of scientific knowledge and the emergence of significant technologies alone require that this is so […] Even so, the events of the past thirty years provide examples of planned innovation on a scale rarely witnessed previously” (Layton, 1986, p. 9).

For this reason, researchers address the phenomenon of innovative work behavior (IWB), which involves creating and incorporating something new into existing work (Aziah & Al Amin, 2018; Chang, 2018; Pudjiarti & Hutomo, 2020). Innovative work behavior manifests itself in a variety of activities, such as generating, promoting, and realizing new ideas (Aziah & Al Amin, 2018; Sun & Huang, 2019; West & Farr,1990). Innovative work activity requires the ability to think and do things differently while implementing innovations (Pudjiarti, & Hutomo, 2020). The past three decades have demonstrated growing calls for ←9 | 10→innovations associated with science teaching methods. In light of science education reforms (NRC, 1996, 2000, 2012), teaching methods have focused on innovations that have alternately been called scientific inquiry, discovery, and constructivist approaches (Furtak & Kunter, 2012). How these challenges are reflected in educational practice is revealed through systemic measurement of innovations: the New Consortium Media (Adams et al., 2018), Measuring Innovation in Education Monitoring (OECD, 2019), An Innovation Survey (Halász, 2018), and Olso Manual (2018). OECD (2019) uses The Trends in International Mathematics and Science Study (TIMSS 2015) data for the secondary analysis of educational innovations in science education and presents the results of a longitudinal study about the implementation of innovations.

Researches on innovations in science education discus about the application of new technology (Arici, Yildirim, Caliklar, & Yilmaz, 2019; Liu et al., 2017; Osunkwo & Enyaosah, 2016), the need to infuse arts and social emotional learning content into science education (Bardone et al., 2017), the need to infuse social emotional principles (Garner et al., 2018), promotion of social creativity toward novel student-based solutions and innovations in science education (Aksela, 2019), and the need to use innovative models to improve critical thinking skills and self-efficacy of preservice chemistry teachers (Rusmansyah, Isnawati, & Prahani, 2019). However, there is a lack of research on innovative work behavior of science teachers’ and personal, cognitive, and environmental factors. In summary, the lack of research on science teachers’ innovative work behavior and its determinants and especially on individual and environmental determinants that led to the problem focused on in the present study: What are the associations between science teachers’ innovative work behavior and personal, cognitive, and environmental factors.

The objective of the present research is to study the innovative work behavior of science teachers.

The aim of the present research is to reveal the associations between science teachers’ innovative work behavior and personal, cognitive, and environmental factors.

Objectives of the present research are as follows:

Structure of this monograph

The aforementioned research objectives have determined the content and structure of this monograph. In the first chapter of monograph, The Theoretical Background of Innovative Work Behavior of Science Teachers, the phenomenon of innovative work behavior is analyzed from a theoretical aspect. This chapter focuses on one theory of innovations – Rogers’ Diffusion theory and three psychological theories: social learning theory, social cognitive theory, and Expectancy-Value theory.

In the first paragraph of Innovations in Science Education: The Issue of Diffusion Theory, we discuss Rogers’ diffusion theory. Diffusion is essentially a social process through which people talking to people spread an innovation (Rogers, 1995). According to Diffusion theory, the decision process is the mental process which consists of five stages: knowledge, persuasion, decision, implementation, and confirmation. At different stages, an innovative work behavior is reflected by a series of activities in which individuals generate novel ideas, solve practical problems at work, and achieve positive effects.

We analyzed these activities in the second paragraph, The Concept of Innovative Work Behavior. In the last paragraph of the chapter, Psychological Background of Innovative Work Behavior, we give a psychological background of this concept. In this study, we relied on Social Cognitive theory and examined the role of organizational commitment and organizational leadership in the innovative behavior of science teachers. In addition, we analyzed the links between personal cognitive factors and innovative behavior of science teachers. In this study, we also relied on Social Learning theory, in analyzing the role of personal sociodemographic factors in science teachers’ innovative work behavior. Expectancy-value theory was also critical, helping us to reveal the essence of science teachers’ self-confidence and to discover the associations between science teachers’ self-confidence and innovative behavior.

In the second chapter of the present monograph, Methodology we introduce the philosophical and empirical commitments of this research.←11 | 12→

In the third chapter of the monograph, Empirical Insight of Factors and Actors of Science Teachers Innovative Work Behavior, we describe the results of factors analysis and ordinal logistic regression. The structure of this chapter corresponds to the research objectives.

In the first paragraph, The Internal Structure of Science Teachers’ Innovative Work Behavior, we analyzed the internal structure of science teachers’ innovative work behavior using a Confirmatory factor analysis (CFA) and path analysis. Taking the TIMSS 2015 data for Lithuania, we created a hierarchical linear modeling according to diffusion theory: (1) knowledge, (2) persuasion, (3) decision, (4) implementation, and (5) confirmation (Rogers, 2003).

In the second paragraph of empirical part of monograph, The Comparative Analysis of Demographic and Educational Factors on Science Teachers’ Trying Out and Sharing New Ideas, we analyzed two innovative activities: trying out new ideas and sharing of new ideas. We performed an ordinal logistic regression analysis of the TIMSS 2015 data for Lithuania. We tested the role of three factors—gender, level of education, and the age of science teacher—on science teachers’ willingness to try out and to share new ideas.

In the third paragraph, The Role of Organizational Commitment on Innovative Work Behavior of Science Teachers, we analyzed the role of environmental factors in innovative work behavior of science teachers of Lithuania. The result of CFA and structural equation modeling (SEM) analysis disclosed different influences of organizational/affective commitment on science teachers’ innovative behavior activities. We detected that organizational/affective commitment had the biggest influence on science teachers’ activity of sharing of innovative ideas and the lowest influence on the application of new ideas in education.

In the section, The Role of Self-confidence in Teaching Science on Innovative Work Behavior of Science Teachers, we analyzed the role of personal and cognitive factors in the innovative work behavior of science teachers of Lithuania. Our SEM results confirmed the influence of science teachers’ self-confidence in teaching science on their innovative behavior activities. The self-confidence of science teachers in teaching science has a greater influence in their applying activities but a smaller influence on the activities of generating and sharing ideas.

In The Influence of Organization Leadership Support on Science Teachers’ Innovative Work Behavior, we analyzed the role of environmental factor—organizational leadership – using confirmatory factor analysis and SEM. The results of our study correspond to social cognitive theory.

In the last paragraph of the empirical section—The Associations between Professional Development, Professional, Demographic Factors’ and Innovative Work Behavior of Science Teachers—we performed an in-depth analysis of role ←12 | 13→of professional development in science teachers’ innovative work behavior. We analyzed the role of these factors: DPD—duration of professional development; CPDi—content of professional development; GEN—gender of the teacher; PE—professional experience (number of years the teacher has been working). We also performed a comparative analysis of these factors on the basis of TIMSS 2015 data for different countries: Lithuania, Singapore, and Sweden.

In the Discussion section we present the main results of the various sections of the monograph. Our discussion involves a summary of the main findings of the monograph, followed by our interpretation of these results in light of our literature review presented in the introduction and first chapter of monograph. In the discussion section, we examine the results, and draw inferences and conclusions from them.

←14 | 15→

1. Theoretical background of innovative work behavior of science teachers

1.1. Innovations in science education: the issue of Diffusion theory

The section focuses on Rogers’ Diffusion theory of innovations, which treat innovation as the process of five stages: knowledge, persuasion, decision, implementation, and confirmation. The section explores the concept of innovations and analyze the challenges involved in developing and implementing innovations.

Educational institutions are encouraged to develop and sustain dynamic capabilities (Jurksiene, & Pundziene, 2016; Kareem & Alameer, 2019; Fenech et al., 2021) in order for them to respond to the changes taking place in the modern world. In the field of application of educational innovations, the problems and challenges that educational institutions face in the implementation, use, or development of innovative technologies are a routine phenomenon. In search of solutions to these problematic situations, it is necessary to study the experience of educational institutions in the development, implementation, and application of innovations (Sahin, 2006). However, the application of innovative ideas can be useless and even harmful if there is no clarity on the purpose or rationale for implementing those innovative ideas. For the education system, it is important that innovations are scaled (Shelton, 2011). However, one of the limitations of the scale is related to insufficient understanding of the nature of the innovation process as a phenomenon and too few insights into how innovations are created, implemented, and disseminated in an organization. This is one of the reasons why we focus on Rogers’ theory of diffusion of innovations (2002, 2003).

For the spread of innovations, collaboration and society support are crucial (Serdyukov, 2017). Uncertainty related to innovations is usually very high (Rogers, 2003), and schools are inclined to routine and tradition. Educational systems and particularly secondary schools remain more conservative than higher education institutions (Gibbons & Silva, 2011) devoting more to students’ well-being and safety than to their preparation for real life and work.

Details

Pages
202
Year
2022
ISBN (PDF)
9783631873359
ISBN (ePUB)
9783631873366
ISBN (Hardcover)
9783631857083
DOI
10.3726/b19459
Language
English
Publication date
2022 (April)
Published
Berlin, Bern, Bruxelles, New York, Oxford, Warszawa, Wien, 2022. 202 pp., 13 fig. b/w, 82 tables.

Biographical notes

Palmira Pečiuliauskienė (Author) Lina Kaminskienė (Author)

Palmira Pečiuliauskienė , PhD, is a professor of Education Academy, Vytautas Magnus University. The research area is didactics of science education. Her research interests involve motivation for learning science, innovations in science education, and digital technology in science education. Lina Kaminskienė, PhD, is a professor and chancellor of Education Academy, Vytautas Magnus University. Her research interests involve research on educational and curriculum innovations, personalization of learning, technology-enhanced learning, self-regulated, non-formal and informal learning, labor market, and employability.

Previous

Title: Science Teachers’ Innovative Work Behavior
book preview page numper 1
book preview page numper 2
book preview page numper 3
book preview page numper 4
book preview page numper 5
book preview page numper 6
book preview page numper 7
book preview page numper 8
book preview page numper 9
book preview page numper 10
book preview page numper 11
book preview page numper 12
book preview page numper 13
book preview page numper 14
book preview page numper 15
book preview page numper 16
book preview page numper 17
book preview page numper 18
book preview page numper 19
book preview page numper 20
book preview page numper 21
book preview page numper 22
book preview page numper 23
book preview page numper 24
book preview page numper 25
book preview page numper 26
book preview page numper 27
book preview page numper 28
book preview page numper 29
book preview page numper 30
book preview page numper 31
book preview page numper 32
book preview page numper 33
book preview page numper 34
book preview page numper 35
book preview page numper 36
book preview page numper 37
book preview page numper 38
book preview page numper 39
book preview page numper 40
204 pages