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Showing all 12 results Save | Export
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Zhicheng Dai; Yue Yang; Zengzhao Chen; Ling Wang; Liang Zhao; Xiaoliang Zhu; Junxia Xiong – Education and Information Technologies, 2025
Higher education is beginning to focus on how to effectively cultivate IoT engineers who possess both hard skills and soft skills. Therefore, from the perspective of activity theory and combining it with project-based learning, this study constructed a project-based learning framework based on activity theory and applied this framework to an IoT…
Descriptors: Active Learning, Student Projects, Teacher Effectiveness, Instructional Effectiveness
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Dan Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study explores the application of the task-based teaching method in English education, particularly from the perspective of big data. Traditional English teaching models often fail to meet the diverse needs of students, with the task-based approach, despite being student-centered, encountering challenges such as task difficulty control and…
Descriptors: Task Analysis, Teaching Methods, Learning Analytics, Learner Engagement
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Tepgeç, Mustafa; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Learning analytics includes interventions that will support learning and improve learning environments. Despite the fact that learning analytics is a promising field of study, the lack of empirical evidence on the effects of learning analytics-based interventions has been widely addressed in recent years. In this context, insights validated by…
Descriptors: Learning Analytics, Intervention, Meta Analysis, Learning Management Systems
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Kun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
The rapid rise of information technology has popularized learning diagnostic systems in education, particularly in college English teaching. These systems boost teaching quality and enable precise instruction. This study delves into precision teaching in college English with two English major classes. Teaching experiments used data from the system…
Descriptors: College English, Learning Analytics, Precision Teaching, Diagnostic Teaching
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Salonen, Arto O.; Tapani, Annukka; Suhonen, Sami – SAGE Open, 2021
Distance learning is rapidly gaining ground globally. In this case study, we focused on professional (vocational) teacher education (PTE) student online activity in a blended learning context. We applied learning analytics (LA) to identify students' (n = 19) online study patterns. Our key interest was in determining when and what kinds of online…
Descriptors: Blended Learning, Electronic Learning, Preservice Teachers, Preservice Teacher Education
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Chang, Isabelle – International Journal of Teaching and Learning in Higher Education, 2020
This study compared student engagement and performance in both open educational resources (OER) (n[open textbook users fall 2018] = 72) and traditional textbook (n[traditional textbook users fall 2017] = 66) classes. Data were drawn from the Learning Management System (LMS). Results show (1) final grades in the OER class were on a par with the…
Descriptors: Textbooks, Open Educational Resources, Learner Engagement, Performance Factors
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Cookson, April; Kim, Daesang; Hartsell, Taralynn – International Journal of Information and Communication Technology Education, 2020
The purpose of this project was to increase student achievement, engagement, and satisfaction using animated instructional videos in an online general psychology course at a community college. This project not only considered the data collected from student activity tracking, but also examined students' perception of how the videos engaged and…
Descriptors: Academic Achievement, Learner Engagement, Student Satisfaction, Animation
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Baker, Sally; Field, Caitlin; Lee, Jung-Sook; Saintilan, Nicole – Journal of University Teaching and Learning Practice, 2021
While embedding Academic Language and Literacies (ALL) instruction in discipline-specific courses is known to be effective, it is difficult to enact across the siloed university. Moreover, the move to online/ remote delivery during COVID-19 has necessitated greater focus on the development of online supports. This article reports on an effort to…
Descriptors: COVID-19, Pandemics, Electronic Learning, Video Technology
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Avery, Teresa; Makos, Alexandra; Sarguroh, Wafa; Raman, Preeti; Brett, Clare – International Journal of E-Learning & Distance Education, 2020
The need to deliver good online courses has intensified due to the COVID-19 pandemic, with the surge in online education. Teaching online is a different experience from that of teaching in a face-to-face setting. In an online course, careful prior planning and course design is crucial to student success and a well-designed online course is…
Descriptors: Online Courses, Electronic Learning, Discussion (Teaching Technique), Instructional Design
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Arslanbay, Goshnag; Ersanli, Ceylan Yangin – Journal on English Language Teaching, 2023
Data-Driven Learning (DDL) is a method for learning languages that involves analyzing language usage trends and finding patterns in language data, utilizing technology and statistics. One of the key benefits of DDL is that it allows students to focus on the most relevant and useful language data for their needs. Data-driven learning is an…
Descriptors: English (Second Language), English for Academic Purposes, Second Language Learning, Second Language Instruction
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Carliner, Saul, Ed. – Association for the Advancement of Computing in Education, 2019
The Association for the Advancement of Computing in Education (AACE) is an international, non-profit educational organization. The Association's purpose is to advance the knowledge, theory, and quality of teaching and learning at all levels with information technology. "E-Learn 2019: World Conference on E-Learning" took place in New…
Descriptors: Conferences (Gatherings), Electronic Learning, Conference Papers, Learner Engagement
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies