@article {904,
	title = {EXPLORING RELATIONS AMONG PRE-SERVICE SCIENCE TEACHERS{\textquoteright} MOTIVATIONAL BELIEFS, LEARNING STRATEGIES AND CONSTRUCTIVIST LEARNING ENVIRONMENT PERCEPTIONS THROUGH UNSUPERVISED DATA MINING},
	journal = {Journal of Baltic Science Education},
	volume = {19},
	year = {2020},
	month = {October/2020},
	pages = {Continuous},
	type = {Original article},
	chapter = {804-823},
	abstract = {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{\textquoteright} 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{\textquoteright} 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{\textquoteright} 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.},
	keywords = {Constructivist learning environment, data mining, learning strategies, motivational belief, Pre-Service Science Teacher},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/20.19.804},
	url = {http://oaji.net/articles/2020/987-1602524864.pdf},
	author = {Sevgi Kingir and Bilge Gok and Ahmet Selman Bozkir}
}
@article {690,
	title = {IDENTIFYING INDONESIAN UPPER-SECONDARY SCHOOL STUDENTS{\textquoteright} ORIENTATIONS TO LEARN SCIENCE AND GENDER EFFECT THROUGH THE USE OF STRUCTURAL EQUATION MODELING},
	journal = {Journal of Baltic Science Education},
	volume = {17},
	year = {2018},
	month = {August/2018},
	pages = {Continuous},
	type = {Original article},
	chapter = {633-648},
	abstract = {The purpose of this research is to examine Indonesian upper-secondary school students{\textquoteright} learning orientation in science via generating structural equation modeling of conceptions of, approaches to and self-efficacy in learning science, and seeking whether the model is significantly different based on gender. A total of 600 (63\% females) Indonesian upper-secondary school students completed a questionnaire with three constructs {\textendash} conceptions of, approach to and self-efficacy in learning science. Rasch analysis was conducted before testing the hypothesized model to examine the psychometric aspects of the instruments. Structural equation modeling featured with multi-group analysis-based gender was used to respond to the main research purpose. Findings indicated that the Indonesian upper-secondary school students had multiple conceptions of as well as multiple approaches to science learning that led to different senses of self-efficacy. Multiple conceptions and mixed approaches are the characteristics of students with achieving orientations. Most importantly, the current research found that conceiving learning science as memorizing was considered as the basis for the higher level of conceptions. The model significantly differed based on gender. Three main differences were Indonesian female students tended to be more conceiving science learning as memorization, using more surface motive and their self-efficacy was more impacted by their higher level of conceptions {\textendash} applying and understanding than males. Based on findings, gender issues in orientations to studying and Indonesian science education curriculum are discussed. },
	keywords = {conceptions of learning, gender, learning orientations, learning strategies, multi-group analysis, self-efficacy},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/18.17.633},
	url = {http://oaji.net/articles/2017/987-1533708941.pdf},
	author = {Arif Rachmatullah and Sariwulan Diana and Minsu Ha}
}
@article {592,
	title = {MODELLING THE EFFECTS OF SELECTED AFFECTIVE FACTORS ON LEARNING STRATEGIES AND CLASSROOM ACTIVITIES IN SCIENCE EDUCATION},
	journal = {Journal of Baltic Science Education},
	volume = {16},
	year = {2017},
	month = {August/2017},
	pages = {Continuous},
	type = {Original article},
	chapter = {599-611},
	abstract = {It is well known affective, cognitive and psychomotor factors have positive effects on science learning process. All these factors have interaction between themselves. So it is important to research what is the size and direction of these interactions. The aim of this research is to analyze the effects of value, attitude and self-efficacy on active learning strategies and classroom activities using Structural Equation Model. The research was conducted by the analysis of students{\textquoteright} answers to questionnaires data using Structural Equation Modelling. Initially KMO and Bartlett{\textquoteright}s tests were done to test appropriateness of scale to factor analysis. Then theoretical structural model was tested using LISREL.  At the end of the SEM test, it was found that there are positive effects of selected affective factors on learning strategies and classroom activities. },
	keywords = {attitude towards science, classroom activities, learning strategies, science learning value, self-efficacy, structural equation model (SEM)},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/17.16.599    },
	url = {http://oaji.net/articles/2017/987-1503905406.pdf},
	author = {Mustafa Akilli and Murat Gen{\c c}}
}
