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Abdulmaliq Abdulsalam; Brian Mcgowan; Kristin L. Schaefer; Joan Wawire; Jerrod A. Henderson – Chemical Engineering Education, 2024
Degree completion of engineering students is a national concern, and research points to the first few years as points of departure. We used photovoice, participatory action-based research to illuminate the experiences of sophomore-level engineering students. Using thematic analysis and assets-based Community Cultural Wealth as our framework, we…
Descriptors: Engineering Education, College Students, Social Networks, Student Empowerment
Kylie Wrigley; Georgia Beardman; Jaime Yallup Farrant; Naomi Joy Godden; Caleb Faulkner Hill; Emma Heyink; Eva Carot Collins; Hannah Davies; Shelby Robinson – Environmental Education Research, 2024
Young people mitigate their climate distress, develop their efficacy, and contribute to the effectiveness of climate movements through activism. However, they are often excluded from adult-led climate movements and exposed to a number of risks when they do participate. In this context, this participatory action research study draws on multiple…
Descriptors: Foreign Countries, Youth, Environmental Education, Climate
Sergio Trilles; Aida Monfort-Muriach; Enrique Cueto-Rubio; Carmen Lopez-Girona; Carlos Granell – IEEE Transactions on Education, 2024
This article discusses the latest developments of the Sucre4Stem tool, as part of the Sucre initiative, which aims to promote interest in computational thinking and programming skills in K-12 students. The tool follows the Internet of Things approach and consists of two prominent components: 1) SucreCore and 2) SucreCode. SucreCore incorporates an…
Descriptors: Elementary Secondary Education, Thinking Skills, Problem Solving, Computation
Belle Dang; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2024
Socially shared regulation in learning (SSRL) contributes to successful collaborative learning (CL). Empirical research into SSRL has received considerable attention recently, with increasingly available multimodal data, advanced learning analytics (LA), and artificial intelligence (AI) providing promising research avenues. Yet, integrating these…
Descriptors: Learning Analytics, Cooperative Learning, Artificial Intelligence, Epistemology
Daseul Kim – International Journal of Lifelong Education, 2024
This study aimed to offer fresh insights into the analysis of attitudes towards learning and perceptions of lifelong learning affecting lifelong learning participation by exploring the differences in network structures between lifelong learning participants and non-participants and identifying the core items with the greatest impact on lifelong…
Descriptors: Network Analysis, Lifelong Learning, Student Attitudes, Educational Attitudes
Mike Zapp; Marcelo Marques; Thiago Brant – Comparative Education Review, 2024
Research on international organizations (IOs), both intergovernmental and non governmental, has become an important strand in comparative education. At the same time, strikingly absent in this large body of research is a large-N perspective on IOs themselves, representing a level of analysis in its own right where geography, discourse, and…
Descriptors: International Organizations, Networks, Global Education, Comparative Education
Yihe Zhang – ProQuest LLC, 2024
Machine learning (ML) techniques have been successfully applied to a wide array of applications. This dissertation aims to take application data handling into account when developing ML-based solutions for real-world problems through a holistic framework. To demonstrate the generality of our framework, we consider two real-world applications: spam…
Descriptors: Artificial Intelligence, Problem Solving, Social Media, Computer Mediated Communication
Chloe O'Connor; Camilla Addey – International Journal of Research & Method in Education, 2024
While methodologies are often presented as standardised procedures which, under specified conditions, should lead to the same conclusions, this case study presents the complex and deeply personal process of research (Addey and Piattoeva 2022). We analyse our application of network ethnography -- an approach presented by Ball (2016) -- to the study…
Descriptors: Ethnography, Research Problems, Case Studies, Measurement
Liu, Chenchen; Hwang, Gwo-Jen; Tu, Yun-fang; Yin, Yiqing; Wang, Youmei – Interactive Learning Environments, 2023
This study reviewed the mobile technology-supported music education (MTSME) studies published in several academic databases, namely Scopus, WOS, ERIC, and RILM, from 2008-2019. Based on the technology-based learning model, the application domains, research issues, sample groups, research methods, adopted devices, and learning strategies were…
Descriptors: Computer Assisted Instruction, Teaching Methods, Telecommunications, Handheld Devices
Currie-Knight, Kevin – International Journal of Self-Directed Learning, 2023
What roles should the teacher play in a classroom reliant on self-directed learning (SDL)? When teachers give students the freedom and responsibility to take charge of their own learning, teachers obviously lose any role that directs student learning, such as telling the student what to work on, dictating the materials to be used, transmitting…
Descriptors: Independent Study, Theory Practice Relationship, College Students, Knowledge Level
Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
Fan, Yizhou; Tan, Yuanru; Rakovic, Mladen; Wang, Yeyu; Cai, Zhiqiang; Shaffer, David Williamson; Gaševic, Dragan – Journal of Computer Assisted Learning, 2023
Background: Select and enact appropriate learning tactics that advance learning has been considered a critical set of skills to successfully complete highly flexible online courses, such as Massive open online courses (MOOCs). However, limited by analytic methods that have been used in the past, such as frequency distribution, sequence mining and…
Descriptors: MOOCs, Students, Learning Processes, Learning Strategies
Zhai, Xuesong; Wang, Minjuan; Chen, Nian-Shing; Ghani, Usman; Cacciolatti, Luca – Interactive Learning Environments, 2023
Social networking sites (SNSs) are widely used to support online learning and knowledge exchange (KE) in projects that require the coordination of collaborative team-playing, especially in COVID-19 world pandemic. Paradoxically, while digital infrastructures enable instant communication, SNSs are not always conducive to KE behaviours, as learners…
Descriptors: Social Networks, Cooperation, Internet, Test Construction
Braun, Charis Linda; Bitsch, Vera; Häring, Anna Maria – Journal of Agricultural Education and Extension, 2023
Purpose: The present study explores the development of agri-food value chains from an organizational learning perspective, using the German organic food sector as an example. We illustrate how the development of local value chains unfolds over time and outline how facilitation can support this process. Design/methodology/approach: The study used…
Descriptors: Foreign Countries, Agriculture, Food, Organizational Learning
Smith, Rachel A.; Brown, Michael G.; Schiltz, James J.; Sowl, Stephanie; Schulz, Jessica M.; Grady, Kevin A. – Innovative Higher Education, 2023
The COVID-19 pandemic-related social distancing practices that colleges implemented in Spring 2020 disrupted the typical mechanisms of propinquity (physical proximity) and homophily (shared characteristics) that physical institutions rely on to help students build and maintain relationships critical to learning and wellbeing. To explore how social…
Descriptors: COVID-19, Pandemics, Interpersonal Relationship, Two Year College Students

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