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Jane W. Kim; Imelda Nava-Landeros; Michael Shriner – Multicultural Education, 2024
Abolitionist dreamers have called for justice-oriented teachers to teach K-12 students with marginalized identities through methods of critical and culturally responsive/sustaining pedagogies (Freire, 1970/2018; Gay, 2018; Ladson-Billings, 1995/2021; Paris & Alim, 2014); acts of love, care, hope, and healing (Ginwright, 2016; Love, 2019); and…
Descriptors: STEM Education, Computer Science Education, Social Justice, Teaching Methods
Joseph R. Cimpian; Jo R. King – Grantee Submission, 2024
Men significantly outnumber women in physics, engineering, and computer science (PECS) majors, with a recent male-to-female ratio of approximately 4:1, a stark contrast to the near parity in other science, technology, engineering, and mathematics (STEM) disciplines (1). This gender disparity in PECS carries wide-reaching implications for equity,…
Descriptors: Gender Differences, Physics, Engineering Education, Computer Science Education
Umar Shehzad; Jody Clarke-Midura; Mimi Recker – ACM Transactions on Computing Education, 2024
Objectives: The increasing demand for computing skills has led to a rapid rise in the development of new computer science (CS) curricula, many with the goal of equitably broadening the participation of underrepresented students in CS. While such initiatives are vital, factors outside of the school environment also play a role in influencing…
Descriptors: Parent Child Relationship, Computer Science Education, Programming, Equal Education
Katharine Childs; Sue Sentance – International Journal of Computer Science Education in Schools, 2024
Gender balance in computing education is a decades-old issue that has been the focus of much previous research. In K-12, the introduction of mandatory computing education goes some way to giving all learners the opportunity to engage with computing throughout school, but a gender imbalance still persists when computer science becomes an elective…
Descriptors: Computer Science Education, Females, Student Attitudes, Elementary School Students
Sally McHugh; Noel Carroll; Cornelia Connolly – Computers in the Schools, 2024
Citizen Development (CD) is a method of delivering low-code no-code (LCNC) development that empowers subject matter experts to design, develop, and deploy applications into production as though they were full-on, experienced coders. This paper explores teachers' perceptions around the potential for, and enactment of LCNC in our education system.…
Descriptors: Secondary School Teachers, Teacher Empowerment, Teacher Attitudes, Technology Uses in Education
Grantee Submission, 2024
Recruiting schools to participate in research projects has become increasingly challenging in the past several years. Research in schools was next-to-impossible during the COVID-19 pandemic, and the aftermath of the pandemic has made research a lower priority for schools trying to regain COVID-related academic losses. The School Recruitment…
Descriptors: Research Projects, COVID-19, Pandemics, Guides
Jeremy Roschelle; Judi Fusco; Pati Ruiz – Digital Promise, 2024
As Artificial Intelligence within education becomes increasingly important, Digital Promise reviewed the guidance documents released by seven states--California, North Carolina, Ohio, Oregon, Virginia, Washington state, and West Virginia--on how to approach artificial intelligence (AI) in education. Throughout this report the authors summarize the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Employment Qualifications, Responsibility
Amy Hutchison; Qi Si; Jamie Colwell; Erdogan Kaya; Eileen Jakeway; Brittany Miller; Kristie Gutierrez; Kelly Regan; Anna Evmenova – Journal of Computer Assisted Learning, 2025
Background: In recent years, computer science education has emerged as a necessary part of school curricula for students of all ages. With such momentum in this direction, it is essential that program designers, educators, and researchers ensure that computer science education is designed to be inclusive, effective, and engaging for all students.…
Descriptors: Coding, Instruction, Scaffolding (Teaching Technique), Literacy
Alexander Tobias Neumann; Yue Yin; Sulayman Sowe; Stefan Decker; Matthias Jarke – IEEE Transactions on Education, 2025
Contribution: This research explores the benefits and challenges of developing, deploying, and evaluating a large language model (LLM) chatbot, MoodleBot, in computer science classroom settings. It highlights the potential of integrating LLMs into LMSs like Moodle to support self-regulated learning (SRL) and help-seeking behavior. Background:…
Descriptors: Computer Science Education, Databases, Information Systems, Classroom Environment
Wei Yan; Priyanka Parekh; Ashish Amresh; Paige Prescott – Journal of Technology and Teacher Education, 2025
Indigenous communities remain among the most underrepresented groups in computing and STEM fields, facing systemic barriers to equitable participation in computer science (CS) education. This study examines how Indigenous-serving teachers, through a sustained professional development (PD) program, design and implement culturally responsive…
Descriptors: Culturally Relevant Education, Computer Science Education, Faculty Development, Disproportionate Representation
Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics
Hollister, Brad; Leon, Juan – International Journal on E-Learning, 2022
An introductory survey course in software engineering is now required at many accredited undergraduate institutions in the United States. The usual presentation of material consists of student projects that showcase design, development, and testing methodologies. While this approach does provide a foundation, students are left without professional…
Descriptors: Open Source Technology, Engineering Education, Computer Software, Undergraduate Students
Weng, Xiaojing; Cui, Zhihao; Ng, Oi-Lam; Jong, Morris S. Y.; Chiu, Thomas K. F. – Journal of Science Education and Technology, 2022
Amid the maker movement, educators are proposing various making activities with programmable artifacts to prepare students for coping with the challenges in the twenty-first century. Today, the "4C" skills--critical thinking, creativity, communication, and collaboration--are regarded as significant learning outcomes in Science,…
Descriptors: Cooperative Learning, Problem Based Learning, Experiential Learning, Problem Solving
Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention
Lavigne, Eric; Coppens, Lindsay; Sweeney, Juliette; Moodie, Gavin; Childs, Ruth A.; Wheelahan, Leesa – Journal of Education and Work, 2022
This article reports on a study investigating the link between education and work. Instead of looking at the labour outcomes of graduates, the study examined the qualifications held by workers in technician- and professional-level jobs from three types of occupational fields: regulated, applied, and general. The approach shifts the focus away from…
Descriptors: Qualifications, Postsecondary Education, Education Work Relationship, Paraprofessional Personnel