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Riana Wadtan; Thanongsak Sovajassatakul; Kanyarat Sriwisathiyakun – Cogent Education, 2024
Previously, we described a Team-Based Ubiquitous Learning Model on Cloud Platform Model (PITTA Model). In this paper, we aimed to demonstrate the value of this model by compare learning achievement and creative problem-solving ability using the PITTA model of learning, compare between experimental group and control group by The Randomized…
Descriptors: Cooperative Learning, Problem Based Learning, Problem Solving, Academic Achievement
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Sally E. Jordan; John P. R. Bolton – International Journal of Assessment Tools in Education, 2024
The study investigated the impact on student engagement and achievement of a "formative thresholded" continuous assessment strategy in which students had to meet a modest threshold, but their continuous assessment marks did not contribute to their final grade. Students were free to choose their own blend of tutor-marked and…
Descriptors: Learner Engagement, Academic Achievement, Assignments, Feedback (Response)
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Wang, Chunpai; Zhao, Siqian; Sahebi, Shaghayegh – International Educational Data Mining Society, 2021
The state of the art knowledge tracing approaches mostly model student knowledge using their performance in assessed learning resource types, such as quizzes, assignments, and exercises, and ignore the non-assessed learning resources. However, many student activities are non-assessed, such as watching video lectures, participating in a discussion…
Descriptors: Models, Knowledge Level, Artificial Intelligence, Computer Uses in Education
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Saqr, Mohammed; López-Pernas, Sonsoles – International Journal of Computer-Supported Collaborative Learning, 2021
This study empirically investigates diffusion-based centralities as depictions of student role-based behavior in information exchange, uptake and argumentation, and as consistent indicators of student success in computer-supported collaborative learning. The analysis is based on a large dataset of 69 courses (n = 3,277 students) with 97,173 total…
Descriptors: Computer Uses in Education, Cooperative Learning, Learning Analytics, Student Behavior
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Morin, Jennifer; Tamberelli, Frank; Buhagiar, Tarek – Journal of Education for Business, 2020
Many educators utilize simulations to create active learning environments suitable for learning outcome achievement and soft skill development, which are critical for student success in the workforce. However, many educators focus primarily on affective benefits of simulations, such as engagement and motivation, rather than cognitive impacts, such…
Descriptors: Undergraduate Students, Business Administration Education, Educational Games, Computer Games
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Gu, Xiaoqing; Xu, Hongjin – Journal of Educational Computing Research, 2019
Advancements in learning analytics allow teachers to track student learning progress and promote learning by providing necessary intervention and support. Multiple data sources are involved in learning analytics, and the major ones are systems that students use in school. To fully comprehend the progress of student learning, out-of-school learning…
Descriptors: Learning Processes, Computer Use, Informal Education, Learning Experience
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Eickholt, Jesse; Johnson, Matthew R.; Seeling, Patrick – IEEE Transactions on Education, 2021
Contribution: Practical active learning stations (PALSs)-equipped classrooms function similar to prototypical active learning classrooms (ALCs). They support student collaboration and active learning pedagogies but at a fraction of the cost. Background: Active learning pedagogies and active learning technology are revitalizing STEM education and…
Descriptors: Active Learning, Classroom Environment, Computer Uses in Education, Classroom Design
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Yuxia Shi; Zhonggen Yu – Electronic Journal of e-Learning, 2024
With the pervasiveness of laptops in the classroom setting, the effectiveness of laptop-assisted note-taking has not been comprehensively investigated. Many inconsistencies in this area still existed with intense debate towards academic performance, learning strategies, and student satisfaction. To fill this missing gap, this study probed the…
Descriptors: Notetaking, Laptop Computers, Student Satisfaction, Academic Achievement
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Lillian-Yee-Kiaw Wang – Knowledge Management & E-Learning, 2024
The motivation for conducting this study is to investigate the potential of Cloud e-learning to address the high-cost and high-complexity challenges of conventional learning methods for the upgraded learning processes in higher education. The overall direction of this research is driven towards how the actual usage of Cloud e-learning module…
Descriptors: Foreign Countries, College Faculty, Undergraduate Students, Information Technology
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Yonggang Gao; Lu Gan; Kaiyuan Wang – Education and Information Technologies, 2025
This investigation sought to discern the impacts of different electronic note-taking strategies--collaborative, individual, and a hybrid of both--on the academic writing skills of Chinese EFL graduate students. The study engaged 185 participants, systematically assigned to one of four groups: those practicing collaborative electronic note-taking,…
Descriptors: Notetaking, Computer Uses in Education, Collaborative Writing, Writing Skills
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Khamisi Kalegele – International Journal of Education and Development using Information and Communication Technology, 2023
Pragmatically, machine learning techniques can improve educators' capacity to monitor students' learning progress when applied to quality data. For developing countries, the major obstacle has been the unavailability of quality data that fits the purpose. This is partly because the in-use information systems are either not properly managed or not…
Descriptors: Artificial Intelligence, Learning Management Systems, Progress Monitoring, Data Use
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Türkan Berrin Kagizmanli Köse; Enver Tatar – Mathematics Teaching Research Journal, 2024
This research discuss and considers possible components in computer supported collaborative dynamic learning environment in mathematics classroom. The aim of the research is to observe the applicability of this environment to the courses and to determine its effect on student success. The research group consisted of 68 high school students and…
Descriptors: Foreign Countries, High School Students, Mathematics Teachers, Educational Environment
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Shiyan Jiang; Jeanne McClure; Cansu Tatar; Franziska Bickel; Carolyn P. Rosé; Jie Chao – British Journal of Educational Technology, 2024
This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies the theoretical framework of intersectionality to understand how gender, race and ethnicity intersect to shape these students' learning experiences and outcomes.…
Descriptors: Artificial Intelligence, Computer Uses in Education, Inclusion, Disproportionate Representation
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Jingyuan Chen; Hongfeng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
This meta-analysis examines the influence of smart classrooms on students' learning outcome, synthesizing findings from 21 empirical studies. The results indicate a significant overall effect size (SMD = 1.10), suggesting that smart classrooms positively affect learning outcomes more than traditional settings. Cognitive development (SMD = 1.014)…
Descriptors: Computer Uses in Education, Computer Assisted Instruction, Computer Assisted Testing, Influence of Technology
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Gary Wong Wai Chung; Daniel Shen Jiandong; Paulina Pui Yun Wong – International Society for Technology, Education, and Science, 2024
This study examines the effectiveness of a game-based metaverse platform in enhancing learning outcomes in economics education. Students were virtually transported back to the Great Depression within the metaverse. System data and self-assessment surveys assessed aspects such as ease of use and perceived usefulness for learning, evaluating their…
Descriptors: Game Based Learning, Economics Education, Instructional Effectiveness, Undergraduate Students
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