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Bulathwela, Sahan; Verma, Meghana; Pérez-Ortiz, María; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2022
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…
Descriptors: Video Technology, Lecture Method, Data Analysis, Prediction
Olipas, Cris Norman P.; Luciano, Ruth G.; Leona, Rodibelle F.; Cochanco, Alexander S.; Bantug, Emilsa T. – Online Submission, 2022
Over the years, globalization has benefitted education in many aspects. This study aims to understand the students' perceptions and expectations of virtual faculty exchange programs conducted in higher learning institutions from the Philippines and Indonesia. This study utilized descriptive research to describe the undergraduate students'…
Descriptors: Student Attitudes, Expectation, Teacher Exchange Programs, Electronic Learning
Kong, Siu-Cheung, Ed.; Abelson, Harold, Ed. – MIT Press, 2022
Computing has become an essential part of today's primary and secondary school curricula. In recent years, K-12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems--"a fundamental skill for everyone,…
Descriptors: Computation, Thinking Skills, Elementary Secondary Education, Artificial Intelligence
Elizabeth Plasky – ProQuest LLC, 2022
The COVID-19 pandemic caused educators across the country and around the world were required to replace in-person instruction of students with teaching/learning through online platforms for a period of months (Perifanou et al, 2021). Despite the numerous advantages that using technology with students were shown to have, many teachers remain…
Descriptors: Learning Activities, Programming, Computer Science Education, Conventional Instruction
Mary Conyers Tucker – ProQuest LLC, 2022
Learning to program is increasingly important. Yet, it is becoming clear that most students struggle when learning to program (McCracken et al., 2001). This is leading to a divide where some people can program but many others can't. Prior research has traced poor student outcomes to their early experiences learning programming. Still, little is…
Descriptors: Teaching Methods, Programming, Computer Science Education, Student Motivation
Casey, Cindy Lou – ProQuest LLC, 2022
The objective of this study is to survey existing and emerging post-secondary computing and technology programs and employment trends in Pennsylvania to determine if college graduates are being prepared for careers in artificial intelligence. Due to low enrollment, colleges and universities are continually revising or restructuring their existing…
Descriptors: Artificial Intelligence, Postsecondary Education, Program Evaluation, Computer Science Education
Hao Loi – ProQuest LLC, 2022
This action research study investigated how a community college faculty member can improve completion rates in introductory computer science (CS1) courses. Some students think the CS1 course is challenging or non-interesting after taking the class midway and then dropping out. Others would fail the exams repeatedly. Since the exams are mostly…
Descriptors: Community Colleges, College Faculty, Community College Students, Academic Persistence
Ülker, Ezgi Deniz – Cypriot Journal of Educational Sciences, 2020
The ability of analysing and designing an algorithm is quite essential for computer science education. The students in the Analysis and Design of Algorithms (ADA) course are expected to be able to solve problems by choosing one of the proper design methods and to analyse the algorithm's performance in terms of various aspects. Instead of using…
Descriptors: Computer Science Education, Design, Mathematics, Programming
Takada, Shingo; Cuadros-Vargas, Ernesto; Impagliazzo, John; Gordon, Steven; Marshall, Linda; Topi, Heikki; van der Veer, Gerrit; Waguespack, Leslie – Education and Information Technologies, 2020
Various computing subdisciplines, such as computer science and software engineering, each have their own curricular guidelines. They can be very difficult to understand and compare for people such as prospective students, industry personnel, and even faculty members. This is compounded by a lack of information surrounding undergraduate computing…
Descriptors: Computer Science Education, Curriculum Development, Academic Standards, Visualization
Indriasari, Theresia Devi; Luxton-Reilly, Andrew; Denny, Paul – ACM Transactions on Computing Education, 2020
Peer review is the standard process within academia for maintaining publication quality, but it is also widely employed in other settings, such as education and industry, for improving work quality and for generating actionable feedback to content authors. For example, in the software industry peer review of program source code--or peer code…
Descriptors: Peer Evaluation, Programming, Higher Education, Computer Science Education
Babb, Jeffry; Sharp, Jason H.; Waguespack, Leslie; Abdullat, Amjad; Dana, Kareem – Information Systems Education Journal, 2020
Just as the adoption of eXtensible Business Reporting Language has standardized the exchange, transmission, and reporting of accounting and financial data, this paper proposes the eXtensible Computing Curriculum Reporting Language as a standard for the exchange, transmission, and reporting of computing curriculum information in hopes of achieving…
Descriptors: Computer Science Education, Curriculum, Semantics, Vocabulary
Yau, King Woon; CHAI, C. S.; Chiu, Thomas K. F.; Meng, Helen; King, Irwin; Yam, Yeung – Education and Information Technologies, 2023
Artificial intelligence (AI) education for K-12 students is an emerging necessity, owing to the rapid advancement and deployment of AI technologies. It is essential to take teachers' perspectives into account when creating ecologically valid AI education programmes for K-12 settings. However, very few studies investigated teacher perception of AI…
Descriptors: Foreign Countries, Secondary School Teachers, Artificial Intelligence, Teacher Attitudes
Ng, Davy Tsz Kit; Leung, Jac Ka Lok; Su, Jiahong; Ng, Ross Chi Wui; Chu, Samuel Kai Wah – Educational Technology Research and Development, 2023
The pandemic has catalyzed a significant shift to online/blended teaching and learning where teachers apply emerging technologies to enhance their students' learning outcomes. Artificial intelligence (AI) technology has gained its popularity in online learning environments during the pandemic to assist students' learning. However, many of these AI…
Descriptors: Teacher Competencies, Digital Literacy, 21st Century Skills, Artificial Intelligence
Petersheim, Corbin; Lahey, Joanna; Cherian, Josh; Pina, Angel; Alexander, Gerianne; Hammond, Tracy – IEEE Transactions on Education, 2023
Contribution: This study identifies which entry-level computer science (CS) resume items are most important and compares the ratings of student and recruiter participants to investigate the accuracy of student beliefs. To the authors' knowledge, this study is the first to analyze the extent to which CS students understand the resume screening…
Descriptors: Undergraduate Students, Computer Science Education, Resumes (Personal), Student Attitudes
Malik, Khalid Mahmood; Zhu, Meina – Education and Information Technologies, 2023
The need for computer science (CS) education, especially computer network education, is increasing. However, the challenges of teaching students with diverse backgrounds and engaging them in hands-on activities to apply theories into practices exist in CS education. The study addressed the challenges by using project-based learning (PBL) and…
Descriptors: Student Projects, Active Learning, Experiential Learning, Computer Science Education

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