Journal of Baltic Science Education

691

Authors: Editorial Board

Contents, Vol. 19, No. 5, 2020, JBSE

696-717

Authors: Bulent Aydogdu, Koray Kasapoglu, Nil Duban, Tugba Selanik Ay, Fatih Ozdinc

Professional development programs might affect teachers' perceptions of how STEM disciplines are interconnected. The purpose of this research was to examine the change in perceptions of science teachers particularly in disadvantageous schools, who participated in a practice-based professional development program offered in Turkey, about STEM, entrepreneurship, and E-STEM, and their experiences related to E-STEM. This qualitative research had a phenomenological design. The participants were totally 30 science teachers who were teaching in each of the seven geographical regions of Turkey. The data were collected through semi-structured pre- and post-focus group interview forms finalized after the expert review and pilot study. Furthermore, the science teachers were asked to keep a diary about the implementation process throughout the research. The data collected through focus group interviews were examined using content analysis and the data collected through the diaries were examined using descriptive analysis. The findings of the study indicate that the science teachers defined E-STEM as a process containing the aspects of entrepreneurship (communication, perseverance and determination, self-confidence, motivation, risk-taking, presentation, and marketing) more comprehensively compared to the pre-interviews.

730-746

Authors: Vanessa Álvarez, Tarcilo Torres, Zulma Gangoso, Vicente Sanjosé

In physics and chemistry, the development of problem-solving skills is necessary to become an expert. A simple cognitive model to analyse such development is proposed and tested. An exploratory research was conducted with expert professors and students in initial and advanced years. A think aloud procedure was used to obtain relevant data while the participants tried to solve undefined, open problems. Solving these problems required a particular skill representative of expertise: modelling reality using science. More than 1350 solving actions were collected and related to the mental representations elaborated, developed and inter-related by solvers. The proposed model was able to account for expert-novice differences in terms of the respective distributions of solving actions among the mental representations. Large differences appeared in the mental representation of Conceptual scientific Model. In addition, advanced and initial students showed similar and significant averages of unproductive actions, while experts took very few. Experts showed high convergence in their distributions of actions among the mental representations. If the outcomes were replicated with higher external validity, the model could help researchers to analyse the cognitive mechanisms in problem-solving, and teachers to better focus their efforts on specific students’ lacks.

764-779

Authors: Jon-Chao Hong, Jian-Hong Ye, Ya-Jiuan Ho, Ya-Jun Wang

STEM (science, technology, engineering, and mathematics) education is recognized as the world’s top education program. However, few STEM programs have been designed based on cultural-historical events. To explore this issue, the present study drew on the cultural-historical activity theory and the content analysis method by adopting the descriptive-interpretative approach to explore the STEM content of the Dujiangyan Irrigation System (DIS) in present-day Sichuan, China. As early as 2,275 years ago during the Warring States period, Li Bing, the governor of Shu Shire in the Qin state, implicitly implemented the STEM concept when building the irrigation system. The results of this study indicate that the DIS incorporates Science (e.g., the hydraulic principle), Technology (e.g., making a large cobblestone Bamboo-Cage for building Fish Mouth), Engineering (e.g., water-level measurement) and Mathematics (e.g., Calculation of sand discharge). Adopting an educational pedagogy proposed by UNESCO which emphasized learning concepts from daily life, the present study draws on a cultural-historical event to inform STEM learning. The method and results of this study can be applied in the design of STEM programs based on other cultural-historical events from around the world.

804-823

Authors: Sevgi Kingir, Bilge Gok, Ahmet Selman Bozkir

Educational data mining is a developing research trend for exploring hidden patterns and natural associations among a set of student, teacher or school related variables. Discovering profiles of preservice science teachers using data mining methods would give important information about quality of teacher education programs and future science teachers’ performance. The aim of this research was to describe characteristics of preservice science teachers and to explore the relations among their motivational beliefs, learning strategy use, and constructivist learning environment perceptions. Participants included 480 preservice science teachers in their final semester of the teacher education program. Data were gathered using Demographic Questionnaire, Motivated Strategies for Learning Questionnaire, Achievement Goal Questionnaire and Constructivist Learning Environment Scale. Findings of clustering analysis revealed gender as a discriminating factor between the obtained two natural groups. Preservice science teachers’ characteristics including background characteristics, motivational beliefs, strategy use and constructivist learning environment perceptions were grouped into two clusters, namely males and females. Moreover, the association rules mining analysis revealed strong relations among preservice science teachers’ motivational beliefs, learning strategy use, and constructivist learning environment perceptions. This research provided many important findings that can be useful for further decision-making strategies.

842-854

Authors: King-Dow Su

To be familiar with micro and symbolic performances, students could work out more effective approaches of innovated techniques known as five hierarchical designs in chemistry equilibrium. However, the most frequently reported problem in students’ assessment of chemistry study is attributed to their poor skill recognizing basic concepts. The aim of this research was to construct the 6 test items to help undergraduate students assess their high-order and low-order cognitive skills as a deeper framework of particle representations. It takes a dynamic appeal for students to identify their profound understanding of cognitive skills in accordance with their potential performances of particle representations. In this research, students activate the test instrument to sustain their development of content validity and inter-rater reliability. The research results mark a different responsive engagement of both high-order and low-order cognitive skills in students’ total performances with the skill ratio score of 1:6 for conceptual recognition and analyses of micro and symbolic performances. All students’ micro and symbolic performances offer an indication for understanding their advanced cognitive skills in the particulate nature of matter. It is beneficial to improve new perspectives in the discussions and activity hierarchical designs in their chemistry equilibrium classrooms.