Detailed Scope for the Turkish Journal of Computer and Mathematics Education:

Curriculum Development and Pedagogy -

Innovative Teaching Approaches: Research on novel teaching methodologies including flipped classrooms, blended learning, and online instruction.

Curriculum Integration: Studies focusing on integrating computer science into mathematics curricula and vice versa, exploring interdisciplinary curriculum development.

Pedagogical Strategies: Effective pedagogical strategies for enhancing student engagement and understanding in computer science and mathematics.

Technology in Education -

Educational Technology Tools: Use and impact of educational technologies such as software and apps designed to facilitate mathematics education.

Computer-Assisted Learning: Effectiveness of computer-assisted learning in improving mathematical reasoning and computational thinking.

Virtual and Augmented Reality: Use of immersive technologies in teaching complex mathematical concepts and computer science principles.

Assessment and Evaluation -

Learning Analytics: Application of analytics tools to assess student performance and learning progress in subjects.

Assessment Techniques: Development and validation of assessment methods in technology-enhanced learning environments.

Impact Studies: Longitudinal studies examining the long-term effects of integrating computer technologies into mathematics education.

Teacher Education and Professional Development -

Teacher Training Programs: Preparation and ongoing professional development of teachers for effective incorporation of computer science and mathematics into their teaching practices.

Pedagogical Content Knowledge: Enhancing teachers' content knowledge in computer science and mathematics and their ability to apply technology in teaching.

Community Building: Building professional communities that support the exchange of ideas and resources among educators.

Broad Fields in Computer and Mathematics Education -

Fundamentals of Programming, Software Development, Networks and Security, Data Science, and Computational Thinking for computer education.

Algebra, Geometry, Calculus, Statistics, and Mathematical Modeling for mathematics education.

Interdisciplinary Applications such as STEM education, AI in education, game-based learning, and ethical considerations in technology and data use.

Theoretical and Conceptual Frameworks -

Theories of Learning: Supporting learning through technology in mathematics and computer science education.

Cognitive Development: Influence of digital tools on cognitive processes related to mathematical thinking and computer programming.

Socio-cultural Perspectives: Socio-cultural aspects of teaching and learning mathematics and computer science, including the impact on diverse student populations.