Javascript must be enabled to continue!
Enhancing Accessibility and Engagement in Computer Science Education for Diverse Learners
View through CrossRef
This study investigates strategies to transform perceptions of computer science, with the primary objective of identifying educational interventions that can effectively reduce barriers faced by underrepresented groups in computer science education. Historically, this field has been perceived as dominated by complex mathematics and programming, which, reinforced by societal stereotypes, deters many from pursuing careers in technology. Using a mixed-methods approach that includes surveys, interviews, and case studies, the research identifies key barriers, such as gender disparities and misconceptions, while evaluating the effectiveness of various pedagogical approaches and outreach initiatives. Findings reveal that students often struggle with foundational courses, particularly in mathematics and programming concepts. Specific challenges include difficulties in grasping abstract concepts and a lack of confidence in technical skills. However, interventions like interactive teaching methods, mentorship programs, and the incorporation of real-world applications significantly enhance student engagement and academic performance. Active learning strategies and gender-sensitive curricula not only foster more inclusive environments but also enable all students to thrive. The research emphasizes practical recommendations for educators and policymakers, highlighting the need for systemic changes to promote inclusivity in computer science education. Ultimately, these findings contribute to fostering a more diverse and inclusive tech industry, underscoring the broader significance of creating equitable opportunities for all learners in the field.
Sciencedomain International
Title: Enhancing Accessibility and Engagement in Computer Science Education for Diverse Learners
Description:
This study investigates strategies to transform perceptions of computer science, with the primary objective of identifying educational interventions that can effectively reduce barriers faced by underrepresented groups in computer science education.
Historically, this field has been perceived as dominated by complex mathematics and programming, which, reinforced by societal stereotypes, deters many from pursuing careers in technology.
Using a mixed-methods approach that includes surveys, interviews, and case studies, the research identifies key barriers, such as gender disparities and misconceptions, while evaluating the effectiveness of various pedagogical approaches and outreach initiatives.
Findings reveal that students often struggle with foundational courses, particularly in mathematics and programming concepts.
Specific challenges include difficulties in grasping abstract concepts and a lack of confidence in technical skills.
However, interventions like interactive teaching methods, mentorship programs, and the incorporation of real-world applications significantly enhance student engagement and academic performance.
Active learning strategies and gender-sensitive curricula not only foster more inclusive environments but also enable all students to thrive.
The research emphasizes practical recommendations for educators and policymakers, highlighting the need for systemic changes to promote inclusivity in computer science education.
Ultimately, these findings contribute to fostering a more diverse and inclusive tech industry, underscoring the broader significance of creating equitable opportunities for all learners in the field.
Related Results
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
Multimodal Emotion Recognition and Human Computer Interaction for AI-Driven Mental Health Support (Preprint)
BACKGROUND
Mental health has become one of the most urgent global health issues of the twenty-first century. The World Health Organization (WHO) reports tha...
Students’ Inclination from Pure Sciences to Computer Science: An Exploratory Cross-sectional Study
Students’ Inclination from Pure Sciences to Computer Science: An Exploratory Cross-sectional Study
Students' academic preferences have changed a lot in the past few years. They are more interested in computer science (CS) as compared to pure sciences. This study aims to investig...
Challenges of Learners with Disabilities in Open Schools in India
Challenges of Learners with Disabilities in Open Schools in India
Arranging Education for all with equity and equality had been one of the biggest challenges in India. Despite having RTE (2009), 77 million children were not enrolled with the regu...
STEM Perceptions and Barriers: The Influence of Gender and School Type among Junior High School Learners in the Central Region of Ghana
STEM Perceptions and Barriers: The Influence of Gender and School Type among Junior High School Learners in the Central Region of Ghana
This study explores the perceptions and barriers to Science, Technology, Engineering, and Mathematics (STEM) education among junior high school learners in the Central Region of Gh...
Depth-aware salient object segmentation
Depth-aware salient object segmentation
Object segmentation is an important task which is widely employed in many computer vision applications such as object detection, tracking, recognition, and ret...
Impact of gender on adult learners’ academic engagement, learning interests, and psychological well-being
Impact of gender on adult learners’ academic engagement, learning interests, and psychological well-being
Adult learners’ academic engagement, learning interests, and psychological well-being in relation to their gender impact their learning outcomes. This study investigates the impact...
Implementasi Pembelajaran IPS Sebagai Penguatan Pendidikan Karakter di Sekolah Dasar
Implementasi Pembelajaran IPS Sebagai Penguatan Pendidikan Karakter di Sekolah Dasar
This study aims to analyze the implementation of social studies learning as strengthening character education in elementary schools. The research method used is a qualitative descr...
Modeling the Influence of Transport and Accessibility on Residential Location Choice Using Multinomial Logistic Regression in Kisumu City, Kenya
Modeling the Influence of Transport and Accessibility on Residential Location Choice Using Multinomial Logistic Regression in Kisumu City, Kenya
This study investigated the influence of accessibility and transportation factors on residential location choices in Kisumu City, Kenya, using a multinomial logistic regression (ML...

