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Kokoç, Mehmet; Akçapinar, Gökhan; Hasnine, Mohammad Nehal – Educational Technology & Society, 2021
This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…
Descriptors: Electronic Learning, Assignments, Behavior Patterns, Learning Analytics
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Sibel Sögüt – GIST Education and Learning Research Journal, 2023
This study examines second language (L2) learners' perspectives regarding the affordances and challenges of using the Data-Driven Learning (DDL) to identify the properties of near-synonymous words. Employing a convergent mixed-method design, this study deciphers the perceptions of 40 undergraduate L2 learners majoring in English language teaching.…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Phrase Structure
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Yuvayapan, Fatma; Yükselir, Ceyhun – International Journal of Curriculum and Instruction, 2021
Aside from learning the basic and common grammatical structures, English as foreign language learners ("hereafter EFL") have to be familiar with a wide range of lexical chunks called collocations. Being sensitive to collocations is the key of attaining a native-like fluency in English. The aim of this study is twofold: to explore the…
Descriptors: Student Attitudes, Second Language Learning, Second Language Instruction, English (Second Language)
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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
Pelletier, Kathe; Brown, Malcolm; Brooks, D. Christopher; McCormack, Mark; Reeves, Jamie; Arbino, Nichole – EDUCAUSE, 2021
This report profiles key trends and emerging technologies and practices shaping the future of teaching and learning and envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape. Starting in 2020, COVID-19 pandemic has…
Descriptors: Higher Education, Educational Trends, Educational Technology, Technology Integration