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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
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
Trofimova, Ellina; Asgharzadeh Kangachar, Shahla; Weynberg, Karen D.; Willows, Robert D.; Jaschke, Paul R. – Biochemistry and Molecular Biology Education, 2023
With the global increase of infections caused by antibiotic-resistant bacterial strains, there is an urgent need for new methods of tackling the issue. Genomic analysis of bacterial strains can help to understand their virulence and antibiotic resistance profile. Bioinformatic skills are in great demand across the biological sciences. We designed…
Descriptors: Genetics, Science Instruction, Microbiology, Information Science
Mumcu, Filiz; Kidiman, Esra; Özdinç, Fatih – Journal of Pedagogical Research, 2023
Integrating computational thinking (CT) into various disciplines via computer science (CS) methods such as unplugged, block-based, text-based, and physical programming is a trending topic in educational sciences. This study presents a perspective on implementing an unplugged computer science activity to integrate CT into mathematics education.…
Descriptors: Computation, Thinking Skills, Mathematics Education, Learning Activities
Gökoglu, Seyfullah; Kilic, Servet – E-Learning and Digital Media, 2023
This study investigates pre-service computer science (CS) teachers' perspectives on the factors affecting their programming abilities, concerns about their future professional lives, and pedagogical suggestions for effective programming teaching. The participants of the study were twenty-eight pre-service CS teachers studying at eighteen different…
Descriptors: Programming, Computer Science Education, Preservice Teachers, Teaching Methods
Geerts, Nelly; Schirmer, Werner; Vercruyssen, Anina; Glorieux, Ignace – International Journal of Lifelong Education, 2023
Existing research on digital inclusion has shown that older adults (65+) are, in general, less digitally skilled than other age groups. While older adults can gain digital skills through 'cold' (formal) training by ICT instructors or through 'warm' (informal) support from family and friends, studies have suggested that formal training is more…
Descriptors: Older Adults, Technological Literacy, Teacher Role, Computer Science Education