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Showing 1 to 15 of 26 results Save | Export
Maria E. McMeans – ProQuest LLC, 2021
Social media has been used in massive open online courses (MOOCS) from the beginning of the MOOC movement. Social media platforms such as Facebook, Twitter, and Google Hangouts have provided collaborative and engaging spaces for MOOC students to work together on projects and activities, and for instructors to guide students. Instructional…
Descriptors: Social Media, Instructional Design, MOOCs, Videoconferencing
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Sarah Blanchard Kyte; Celeste Atkins; Elizabeth Collins; Regina Deil-Amen – Journal of Postsecondary Student Success, 2023
Universities are increasingly turning toward data-driven technologies like data dashboards to support advisors' work in student success, yet little empirical work has explored whether these tools help or hinder best practices in advising, which is in many ways a relationship-based enterprise. This mixed-methods study analyzed whether and why the…
Descriptors: Learning Analytics, Computer Software, School Holding Power, Academic Persistence
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Abdullah Kalay; Yüksel Deniz Arikan – Journal of Educational Technology and Online Learning, 2023
Since motivation is known to be a critical factor, approaches, methods, techniques, and materials that would affect motivation positively are utilized in learning and teaching processes. Gamification is used by including game components into teaching processes to enhance students' motivation, attract their attention to the lesson and boost…
Descriptors: Instructional Materials, Gamification, Student Motivation, Academic Achievement
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
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Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
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Zualkernan, Imran – International Association for Development of the Information Society, 2021
A significant amount of research has gone into predicting student performance and many studies have been conducted to predict why students drop out. A variety of data including digital footprints, socio-economic data, financial data, and psychological aspects have been used to predict student performance at the test, course, or program level.…
Descriptors: Prediction, Engineering Education, Academic Achievement, Dropouts
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Serpil Tekir – Online Submission, 2024
The adoption of English as a Medium of Instruction (EMI) in Turkish universities has heightened the necessity for advanced English proficiency among students. Many intermediate-level English learners face stagnation, known as the intermediate plateau, hindering their progress and affecting academic performance. This study explores the use of…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language of Instruction
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Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
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Anna Y. Q. Huang; Jei Wei Chang; Albert C. M. Yang; Hiroaki Ogata; Shun Ting Li; Ruo Xuan Yen; Stephen J. H. Yang – Educational Technology & Society, 2023
To improve students' learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence. The proposed intervention first uses text-processing artificial intelligence technologies, namely bidirectional encoder representations from…
Descriptors: Academic Achievement, Tutoring, Artificial Intelligence, Individualized Instruction
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Jimenez, Fernando; Paoletti, Alessia; Sanchez, Gracia; Sciavicco, Guido – IEEE Transactions on Learning Technologies, 2019
In the European academic systems, the public funding to single universities depends on many factors, which are periodically evaluated. One of such factors is the rate of success, that is, the rate of students that do complete their course of study. At many levels, therefore, there is an increasing interest in being able to predict the risk that a…
Descriptors: Prediction, Risk, Dropouts, College Students
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Altunkaya, Hatice; Ayranci, Bilge – Journal of Language and Linguistic Studies, 2020
Academic writing intends to enunciate research findings in a certain discipline within the scientific world. The contents of the Turkish Language II course, offered in the spring semesters of the teacher training programs in education faculties, are based on academic writing skills education. The present study aims to determine the effects of…
Descriptors: Academic Language, Writing Instruction, Turkish, Teacher Education Programs
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Afful, Benedict; Akrong, Rexford – Journal of Education for Business, 2020
With the current debate on the effect of WhatsApp on academic performance, there is little rigorous econometric research backing each side of the argument. Applying a seemingly unrelated regression model to a primary data, it was found that the use of WhatsApp has a positive effect on the academic performance of students so long as the dominant…
Descriptors: Academic Achievement, Computer Software, Telecommunications, Handheld Devices
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Ebied, Mohammed – Journal of Educational Multimedia and Hypermedia, 2019
The current study aims to examine the effectiveness of an educational program based on cognitive load theory in developing multimedia production skills at General Diploma in Education in Najran University. Quasi-experimental study designs is used in the study and to collect data the researcher built achievement test and observation card to measure…
Descriptors: Foreign Countries, Cognitive Ability, Comparative Analysis, Multimedia Instruction
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Demir Kaymak, Zeliha; Akgün, Özcan Erkan – Malaysian Online Journal of Educational Technology, 2019
The purpose of this research is to investigate the effects of using cloud computing technologies, study type and task difficulty on cognitive load and students' performance. The research was conducted as 2x2x2 complex mixed design. The two experiment groups are the first factor of design. In the first experiment group students used non…
Descriptors: Cognitive Ability, Computer Software, Task Analysis, Difficulty Level
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Emmanuel, Jasmine Selvarani; Bhandigadi, Phalachandra; Ch'ng, Lay Kee – Asian Journal of Distance Education, 2019
Wawasan Open University (WOU) provides working Malaysians access to quality higher education via Open Distance Learning (ODL). As admission of students involves students from diverse backgrounds, including diversity of ability, age groups and educational backgrounds, WOU faces the real challenge of effectively engaging and supporting these…
Descriptors: Learner Engagement, Academic Achievement, Blended Learning, Integrated Learning Systems
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