@article {879,
	title = {TEACHERS{\textquoteright} PERCEPTIONS OF USING THE BLENDED LEARNING APPROACH FOR STEM-RELATED SUBJECTS WITHIN THE FOURTH INDUSTRIAL REVOLUTION},
	journal = {Journal of Baltic Science Education},
	volume = {19},
	year = {2020},
	month = {August/2020},
	pages = {Continuous},
	type = {Original article},
	chapter = {583-593},
	abstract = {Globally, as society enters the Fourth Industrial Revolution, we require a transformation in pedagogy. Science, Technology, Engineering and Mathematics (STEM) related subjects are vital to succeeding within the Fourth Industrial Revolution. To provide quality STEM education, teachers{\textquoteright} perceptions related to the teaching and learning of STEM-related subjects is essential to understand. This qualitative research took place at one university in KwaZulu-Natal, South Africa and explored teachers{\textquoteright} perceptions of using blended learning for STEM-related subjects. Wenger{\textquoteright}s Communities of Practice Theory framed this research. Data were generated from workshops and semi-structured interviews. The results of this research indicated that blended learning is impeded by the lack of technology-based tools; is hampered by teacher professional development; offered the use of virtual hours for consultation and feedback and increased engagement and collaboration within STEM-related milieus. These results provide a glimpse of what teachers perceive regarding the use of blended learning for secondary school mathematics and technology. Globally, these results have relevance when considering the importance of teachers{\textquoteright} perceptions of using blended learning for STEM-related subjects, as society embraces the Fourth Industrial Revolution.},
	keywords = {blended learning, communities, fourth industrial revolution, mathematics teaching, practice, qualitative, STEM teachers, STEM-related subjects, technology teaching, technology-enabled learning},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/20.19.583},
	url = {http://oaji.net/articles/2020/987-1597214386.pdf},
	author = {Jayaluxmi Naidoo and Asheena Singh-Pillay}
}
@article {467,
	title = {FRAMEWORK AND VERIFICATION OF A BLENDED E-LEARNING SYSTEM BEHAVIORAL INTENTION MODEL AMONG CLINICAL NURSES},
	journal = {Journal of Baltic Science Education},
	volume = {14},
	year = {2015},
	month = {December/2015},
	pages = {Continuous},
	type = {Original article},
	chapter = {733{\textendash}743},
	abstract = {As the various applications of Internet and information communication technology (ICT) grow rapidly, the education and hospital institutions provide more distance learning programs, which also makes the research on e-learning more important. However, disadvantages in e-learning have been identified. Blended e-learning systems (BELSs) are considered effective alternative learning approaches. This research proposes a conceptual model to explain the factors affecting nurses{\textquoteright} behavioral intention to use a blended e-learning system (BELS). This research integrated perceived risk and the technology acceptance model to hypothesize a theoretical model for explaining and predicting learners{\textquoteright} behavioral intention to use a BELS. Self-report questionnaires were distributed to local community hospitals, regional hospitals, and medical centers in Central Taiwan. To confirm this research hypothesis, data were collected 682 nurses, with a response rate of 97.4\%. Using structural equation modeling (SEM), the results show that perceived risk, perceived ease of use, and attitude influenced BELS behavioral intention. Perceived ease of use, and perceived usefulness substantially influenced use attitude. In addition, the path coefficient of perceived risk on attitude was non-significant. On the basis of the results, hospital institutions can devise better strategies for developing their blended e-learning system. },
	keywords = {blended learning, nurse perceptions, nurses education, structural equation model, Technology acceptance model},
	issn = {1648-3898},
	doi = {https://doi.org/10.33225/jbse/15.14.733},
	url = {http://oaji.net/articles/2016/987-1479543930.pdf},
	author = {Tsui-Fen Chang and Cheng-Min Chao and Bor-Wen Cheng}
}
