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Zeynivandnezhad, Fereshteh; Asgharzadeh, Nasrin; Fernández, Ramón Emilio – International Journal for Technology in Mathematics Education, 2023
The applicability of digital technologies is increasing boundlessly and so are the opportunities of the end-users, with ample opportunities to embed these technologies in the teaching and learning process. Nonetheless, classroom adoption of technologies, particularly in mathematics remains on the lower end of innovation in teaching and learning.…
Descriptors: Foreign Countries, High Schools, Mathematics Teachers, Pedagogical Content Knowledge
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Castellano, Marisa E.; Richardson, George B.; Sundell, Kirsten; Stone, James R., III – Vocations and Learning, 2017
In the United States, education policy calls for every student to graduate from high school prepared for college and a career. National legislation has mandated programs of study (POS), which offer aligned course sequences spanning secondary and postsecondary education, blending standards-based academic and career and technical education (CTE)…
Descriptors: College Preparation, College Readiness, Career Development, Career Readiness
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Badri, Masood; Al Rashedi, Asma; Yang, Guang; Mohaidat, Jihad; Al Hammadi, Arif – Education and Information Technologies, 2016
Offering an online integrated high-school course or subject for the first time involves many challenges. Better understanding the factors that affect students' willingness to participate in the experience could provide support for better implementation of such a strategic initiative. In addition, it is important to understand how personal factors…
Descriptors: Intention, Electronic Learning, Structural Equation Models, High School Students
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Higgins, George E.; Tewksbury, Richard – Youth & Society, 2006
This study examines the distribution differences across sexes in key measures of self-control theory and differences in a causal model. Using cross-sectional data from juveniles ("n" = 1,500), the study shows mean-level differences in many of the self-control, risky behavior, and delinquency measures. Structural equation modeling…
Descriptors: Self Control, Measures (Individuals), Causal Models, Gender Differences