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Showing 1 to 15 of 23 results Save | Export
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Lu, Meixiu; Chiu, Ming Ming – IEEE Transactions on Education, 2022
Contribution: Students do not naturally give unbiased, accurate peer assessments (PAs). Hence, giving teamwork guidelines to students can improve their cooperation, understanding of one another, PA attitude, and PA accuracy. Background: During collaborative learning, PA can improve students' autonomy, evaluation, and communication, which often…
Descriptors: Teamwork, Guidelines, Peer Evaluation, Student Attitudes
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Amaya, Edna Johanna Chaparro; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…
Descriptors: Learning Analytics, Guidelines, Student Attitudes, Learning Processes
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Menon, Pratibha – Journal of Information Systems Education, 2023
This paper introduces a teaching process to develop students' problem-solving and programming efficacy in an introductory computer programming course. The proposed teaching practice provides step-by-step guidelines on using worked-out examples of code to demonstrate the applications of programming concepts. These coding demonstrations explicitly…
Descriptors: Introductory Courses, Programming, Computer Science Education, Feedback (Response)
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Allen, Becky; McGough, Andrew Stephen; Devlin, Marie – ACM Transactions on Computing Education, 2022
Artificial Intelligence and its sub-disciplines are becoming increasingly relevant in numerous areas of academia as well as industry and can now be considered a core area of Computer Science. The Higher Education sector are offering more courses in Machine Learning and Artificial Intelligence than ever before. However, there is a lack of research…
Descriptors: Artificial Intelligence, Audiences, Computer Science Education, Higher Education
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Maher Salem; Khalid Samara; Abdel-Karim Al-Tamimi – ACM Transactions on Computing Education, 2024
This study focuses on the challenges encountered in online cybersecurity education. It adopts an exploratory research design using a mixed-methods approach to investigate the perceptions and experiences of postgraduate students enrolled in an online cybersecurity program. The collection of data is structured into two distinct phases. In the…
Descriptors: Information Security, Computer Security, Guidelines, Student Motivation
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Verdecchia, Roberto; Lago, Patricia – IEEE Transactions on Education, 2023
Contribution: This article contributes empirical insights on hybrid teaching of software engineering courses. Results include the systematic analysis of hybrid teaching attendance and interaction, perception of hybrid teaching, and grade distributions. Results are synthesized into eight evidence-based guidelines. Background: Hybrid teaching, i.e.,…
Descriptors: Engineering Education, Computer Science Education, Computer Software, Masters Programs
Constance Barnes-Watson – ProQuest LLC, 2024
There is a purported shortage of employable labor in the tech workforce, yet Black, Indigenous, Women of Color (BIWOC) in urban centers struggle to find and sustain roles in "high-tech." The tech ecosystem is a CIS-gendered, white male heterosexual space that perpetuates and "ideal worker norm" (Kachchaf et al., 2015), which…
Descriptors: Computer Science Education, Intervention, Females, Urban Areas
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DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
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Jaumot-Pascual, Nuria; DeerInWater, Kathy; Ong, Maria; Silva, Christina B. – Cultural Studies of Science Education, 2023
This paper focuses on the undergraduate experiences in computer sciences (CS) disciplines of eight Native women and two-spirit undergraduates and how their values and experiences around the communal goal of giving back enable them to persist in computing. The paper draws from a one-year study that included participants across the U.S.A from…
Descriptors: Undergraduate Students, Computer Science Education, American Indian Students, Females
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Suwanroj, Thamasan; Leekitchwatana, Punnee; Pimdee, Paitoon – Journal of Technology and Science Education, 2019
The purpose of this descriptive study was to apply 2nd order confirmatory factor analysis (CFA) and structural relationship models to identify the digital competency components essential to undergraduate students in Thai higher education institutions. The sample comprised 1,126 specialists in Information Technology, Computer Technology, Computer…
Descriptors: Technological Literacy, Undergraduate Students, Foreign Countries, Information Technology
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Chávez, Jorge; Montaño, Rosa; Barrera, Rosa; Sánchez, Jaime; Faure, Jaime – Higher Learning Research Communications, 2021
Objectives: The COVID-19 pandemic has forced educational institutions to adopt online tools to remotely teach and efficiently use virtual learning situations during the emergency. However, although these environments may serve to improve teaching processes, several issues must be considered to ensure quality student learning. The purpose of our…
Descriptors: Educational Quality, Online Courses, Computer Science Education, Integrated Learning Systems
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Liang, Yuxin; Liu, Guo-Ping – IEEE Transactions on Learning Technologies, 2018
This paper presents a method to design high-quality 3D equipment for virtual laboratories. A virtual control laboratory is designed on large-scale educational purpose with merits of saving expenses for universities and can provide more opportunities for students. The proposed laboratory with more than 30 virtual instruments aims at offering…
Descriptors: Computer Simulation, Computer Software, Laboratory Experiments, Student Attitudes
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Crosslin, Matt; Dellinger, Justin T.; Joksimovic, Srecko; Kovanovic, Vitomir; Gaševic, Dragan – Online Learning, 2018
Dual-layer MOOCs are an educational framework designed to create customizable modality pathways through a learning experience. The basic premise is to design two framework choices through a course: one that is instructor centered and the other that is student determined and open. Learners have the option to create their own customized pathway by…
Descriptors: Online Courses, Course Descriptions, Mixed Methods Research, Guidelines
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Jumaat, Nurul Farhana; Tasir, Zaidatun – Journal of Educational Computing Research, 2016
Scaffolding refers to a guidance that helps students during their learning sessions whereby it makes learning easier for them. This study aims to develop a framework of metacognitive scaffolding (MS) to guide students in learning Authoring System through Facebook. Thirty-seven master degree students who were enrolled in Authoring System course…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Programming, Computer Science Education
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Zheng, Guangzhi; Zhang, Chi; Li, Lei – Journal of Information Systems Education, 2015
Business intelligence (BI) and healthcare analytics are the emerging technologies that provide analytical capability to help healthcare industry improve service quality, reduce cost, and manage risks. However, such component on analytical healthcare data processing is largely missed from current healthcare information technology (HIT) or health…
Descriptors: Business, Intelligence, Information Technology, Curriculum
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