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Showing 1 to 15 of 35 results Save | Export
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Shamsul Arrieya Ariffin – International Association for Development of the Information Society, 2023
This study investigated the students' experience and impact of using Science, Technology, Engineering, and Mathematics (STEM) related subjects for mobile learning or mLearning. In this study, mobile learning student-generated activities (SGA) focused on Malaysian universities as a developing country. The study approach was a qualitative case study…
Descriptors: Foreign Countries, College Students, STEM Education, Electronic Learning
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Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
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Nur Fajriah Muchlis; Punaji Setyosari; Dedi Kuswandi; Saida Ulfa; Henry Praherdhiono – International Society for Technology, Education, and Science, 2023
In recent years, the Computer Science and Information Technology programs have experienced growth and achieved immense popularity, increasing the demand for graduates who will become skilled workers. The educational outcomes-based curriculum (OBE) targets that learning must pay attention to one of the Key Performance Indicators (IKU) achievements:…
Descriptors: College Students, Design, Innovation, Thinking Skills
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Noor Maizura Mohamad Noor; Mohamad Jazli Shafizan Jaafar; Rosmayati Mohemad; Noor Azliza Che Mat – International Society for Technology, Education, and Science, 2023
Universities around the globe have begun implementing outcome-based learning (OBE). The curriculum will be revised, evaluated, and the outcomes of the assessments will be reported as part of this OBE implementation. Due to the importance of the evaluation method, several lecturers are searching for innovative approaches for assessing the…
Descriptors: Teaching Methods, Learning Processes, Decision Making, Learning Management Systems
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Zagorskis, Viktors; Kapanieks, Atis; Gorbunovs, Aleksandrs; Kadakovska, Zane – International Association for Development of the Information Society, 2018
Complex mathematical approaches exist in biological, social, and educational sciences, creating models to understand and explain cognition processes in human brain. Yet, the logged raw data is just an initial learners' behavior footprint in Virtual Learning Environments. Exploratory Data analysis would help to deepen the understanding of cognition…
Descriptors: Learning Processes, Cognitive Ability, Electronic Learning, Brain
Guerrero, Tricia Ann; Griffin, Thomas D.; Wiley, Jennifer – Grantee Submission, 2020
Past work has shown that generating explanations can improve both comprehension and metacomprehension outcomes. Although practice testing may sometimes improve comprehension, it is unclear if it affects metacomprehension (the ability to monitor one's understanding). The current study tested whether online homework activities involving practice…
Descriptors: College Students, Comprehension, Metacognition, Testing
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Wei Zhang – International Society for Technology, Education, and Science, 2024
Driven by new modes of information dissemination in this digital age and propelled by the necessity for online course delivery during the recent pandemic, online education, the current form of distance education, is not only the trend but the reality of teaching and learning today. It utilizes the internet and computer technology to offer…
Descriptors: Online Courses, Learning Experience, Electronic Learning, Distance Education
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Mirtschewa, Iliana – International Association for Development of the Information Society, 2021
The paper presents the aims and the design of the international e-learning course for teacher training "International Project" / Internet and Competence to work on the Project"/IPC/, organized with students from the Sofia University "St. Kliment Ohridski" (Bulgaria) and universities from Germany, USA, Spain, Japan, Sweden…
Descriptors: Preservice Teacher Education, Global Approach, Learning Processes, Electronic Learning
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Mbaye, Baba – International Association for Development of the Information Society, 2018
The significant amount of information available on the web has led to difficulties for the learner to find useful information and relevant resources to carry out their training. The recommender systems have achieved significant success in the area of e-commerce, they still have difficulties in formulating relevant recommendations on e-learning…
Descriptors: Information Systems, Electronic Learning, Referral, Information Sources
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Ifenthaler, Dirk; Gibson, David; Zheng, Longwei – International Association for Development of the Information Society, 2018
This study is part of a research programme investigating the dynamics and impacts of learning engagement in a challenge-based digital learning environment. Learning engagement is a multidimensional concept which includes an individual's ability to behaviourally, cognitively, emotionally, and motivationally engage in an on-going learning process.…
Descriptors: Learner Engagement, Electronic Learning, Learning Analytics, College Students
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
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Minematsu, Tsubasa – International Association for Development of the Information Society, 2019
In this study, we investigated which section of a page was difficult for students to read, based on eye movement data and subjective impressions of the page's difficulty, with the aim of helping teachers revise teaching materials. It is problematic to manually model relationships between eye movements and subjective impressions of the page's…
Descriptors: Eye Movements, Difficulty Level, Reading Processes, Instructional Materials
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Alhasan, Khawla; Chen, Liming; Chen, Feng – International Association for Development of the Information Society, 2017
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning industry that takes into account all the requirements of the learning process. In spite of the wide growing, the e-learning…
Descriptors: Semantics, Models, Cognitive Style, Electronic Learning
Buwono, Muhammad Agung; Ciptaningrum, Dyah Setyowati – Online Submission, 2019
Teaching English at schools could not be separated from the use of Internet in this digital era. Most students and teachers especially on cities are accustomed to the Internet in their daily lives. However, some of them are not accustomed to use the Internet to learn English in a classroom setting. Thus, blended learning models are important to be…
Descriptors: Blended Learning, Learning Processes, English (Second Language), Second Language Learning
Horikoshi, Izumi; Noguchi, Masato; Tamura, Yasuhisa – International Association for Development of the Information Society, 2016
In this paper, the authors attempted to evaluate design of leaning units with use of Learning Analytics technique on page flip information. Traditional formative assessment has been carried out by giving assignments and evaluating their results. However, the information that teacher can get from the evaluation is limited and coarse-grained. The…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
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