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Direct linkHardiyanti Pratiwi; Suherman; Hasruddin; Muhammad Ridha – European Journal of Education, 2025
Artificial intelligence (AI) has emerged as a transformative tool in academic writing, leveraging advanced algorithms and natural language processing to significantly improve efficiency, quality and productivity. This study investigates the use of AI tools among Indonesian doctoral students, with a particular focus on ethical standards and their…
Descriptors: Doctoral Students, Technology Uses in Education, Artificial Intelligence, Writing (Composition)
Download full textGredler, Joseph J. – International Journal of Teaching and Learning in Higher Education, 2018
Misalignment between student preferences and instructor practices regarding writing feedback may impede student learning. This sequential explanatory mixed-methods study addressed postsecondary online students' preferences and the reasons for their preferences. A survey was used to collect 93 responses from postsecondary students attending a large…
Descriptors: Postsecondary Education, College Students, Preferences, Private Colleges
Wan, Han; Liu, Kangxu; Yu, Qiaoye; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2019
Most educational institutions adopted the hybrid teaching mode through learning management systems. The logging data/clickstream could describe learners' online behavior. Many researchers have used them to predict students' performance, which has led to a diverse set of findings, but how to use insights from captured data to enhance learning…
Descriptors: Educational Practices, Learner Engagement, Identification, Study Habits
Hubbard, Aleata – Grantee Submission, 2017
The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting…
Descriptors: Educational Research, Mathematics Education, Algebra, Intervention
Trotskovsky, E.; Sabag, N. – Research in Science & Technological Education, 2015
Background: Learning processes are usually characterized by students' misunderstandings and misconceptions. Engineering educators intend to help their students overcome their misconceptions and achieve correct understanding of the concept. This paper describes a misconception in digital systems held by many students who believe that combinational…
Descriptors: Misconceptions, Case Studies, Information Systems, Engineering Technology
Cahalan, Margaret; Goodwin, David – Pell Institute for the Study of Opportunity in Higher Education, 2014
In January 2009, in the last week of the Bush Administration, the U.S. Department of Education (ED), upon orders from the departing political appointee staff, published the final report in a long running National Evaluation of Upward Bound (UB). The study was conducted by the contractor, Mathematica Policy Research. After more than a year in…
Descriptors: Federal Programs, College Readiness, Access to Education, Data Analysis
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
