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Zhang, Qiaoping; Chia, Hui Min; Chen, Kexin – Journal of Technology Education, 2022
To enhance understanding of factors that may improve students' STEM career participation, we explored Hong Kong secondary students' self-perceptions of STEM subjects and career interests using the STEM Semantic Survey and Career Interest Survey questionnaire. Results showed that most students thought technology was more appealing than science,…
Descriptors: Student Attitudes, STEM Education, Vocational Interests, Secondary School Students
Yuyao Ton – Educational Technology & Society, 2024
This paper reported an exploratory study that examined secondary school students' understanding of collaborative discourse in a computer-supported knowledge building environment in characterizing and scaffolding their engagement in productive online discourse. The participants were thirty-eight secondary school students in a visual arts course. A…
Descriptors: Secondary School Students, Student Attitudes, Visual Arts, Courses
Career Development and the COVID-19 Outbreak: Protective Functions of Career-Related Teacher Support
Lawrence P. W. Wong; Gaowei Chen; Mantak Yuen – British Journal of Guidance & Counselling, 2024
It is well established that COVID-19 pandemic is associated with arousal of feelings of hopelessness and negativity in adolescents regarding future career development outcomes. However, the current literature has yet to clarify the roles teacher social support play in facilitating students' positive career development during the pandemic. This…
Descriptors: COVID-19, Pandemics, Career Development, Secondary School Students
Yang, Lan; Chiu, Hiu-Man; Sin, Kuen-Fung; Lui, Ming – International Journal of Disability, Development and Education, 2022
While the relationship between self-determination and the academic achievement of students has been widely tested across cultures and groups, limited research has examined the antecedents of self-determination and their impacts on school engagement, which is the pre-requisite of academic achievement. The present study, based on the self-system…
Descriptors: Self Determination, Academic Achievement, Peer Influence, School Role
Peng Zhang; Gemma Tur – Digital Education Review, 2024
Although research has always related e-portfolios to self-regulated learning, recently agency, which includes individual, relational, and contextual domains, has also been highlighted. Likewise, agency has been explored in technological environments that support collaborative and co-design learning processes. This study, investigating the…
Descriptors: Student Attitudes, Foreign Countries, Chinese, International Schools
Students' Visualisation of Chemical Reactions--Insights into the Particle Model and the Atomic Model
Cheng, Maurice M. W. – Chemistry Education Research and Practice, 2018
This paper reports on an interview study of 18 Grade 10-12 students' model-based reasoning of a chemical reaction: the reaction of magnesium and oxygen at the submicro level. It has been proposed that chemical reactions can be conceptualised using two models: (i) the "particle model," in which a reaction is regarded as the simple…
Descriptors: Visualization, Chemistry, Science Instruction, Grade 10
Cheng, Maurice M. W.; Gilbert, John K. – International Journal of Science Education, 2017
This paper proposes a model-based notion of "submicro representations of chemical reactions". Based on three structural models of matter (the simple particle model, the atomic model and the free electron model of metals), we suggest there are two major models of reaction in school chemistry curricula: (a) reactions that are simple…
Descriptors: Science Instruction, Chemistry, Scientific Concepts, Models
Lau, Wilfred Wing Fat; Yuen, Allan Hoi Kau – Australasian Journal of Educational Technology, 2010
The gender digital divide has been widely discussed and researched over the years. Previous studies have focused on a number of factors such as computer attitude, computer anxiety, computer self-efficacy, and computer experience. This study empirically tested the sensitivity of a learning style instrument, the "Gregorc Style Delineator"…
Descriptors: Gender Differences, Cognitive Style, Computer Science Education, Programming