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Arailym Sarbalina; Zharkynbike Suleimenova; Kunipa Ashinova; Zhaidarkul Belassarova; Balkiya Kassym; Aiman Koblanova – Novitas-ROYAL (Research on Youth and Language), 2024
This study aims to analyze the factors influencing the typology of Turkic words to examine the specifics of the way students learn Turkic languages in higher education institutions. A hypotheticdeductive, survey, and comparative method was used for the study. Results showed that the learners have trouble constructing oral discourse and do not…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Turkic Languages
Self-Regulation Strategies in Blended Learning Environments in Higher Education: A Systematic Review
Eggers, Jan Hein; Oostdam, Ron; Voogt, Joke – Australasian Journal of Educational Technology, 2021
Although self-regulation is an important feature related to students' study success as reflected in higher grades and less academic course delay, little is known about the role of self-regulation in blended learning environments in higher education. For this review, we analysed 21 studies in which self-regulation strategies were taught in the…
Descriptors: Metacognition, Blended Learning, Teaching Methods, Learning Strategies
Gupta, Anika; Garg, Deepak; Kumar, Parteek – IEEE Transactions on Learning Technologies, 2022
With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…
Descriptors: Markov Processes, Online Courses, Learning Management Systems, Learning Analytics
Nina Woll; Pierre-Luc Paquet; Isabelle Wouters – Journal of Multilingual and Multicultural Development, 2024
While studies have shown that additional language (Lx) learners build on knowledge of previously acquired languages (Ringbom 2007), the natural interaction between languages is rarely exploited in Lx classrooms. This study explores the nature of metalinguistic reflections and crosslinguistic connections during plurilingual consciousness-raising…
Descriptors: Multilingualism, Metalinguistics, German, Second Language Learning
Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Trechsel, Lilian Julia; Diebold, Clara Léonie; Zimmermann, Anne Barbara; Fischer, Manuel – International Journal of Sustainability in Higher Education, 2023
Purpose: This study aims to explore how the boundary between science and society can be addressed to support the transformation of higher education towards sustainable development (HESD) in the sense of the whole institution approach. It analyses students' learning experiences in self-led sustainability projects conducted outside formal curricula…
Descriptors: Science and Society, Transformative Learning, Trust (Psychology), Learning Experience
Marton McGowin, Brooke; Lockee, Barbara B. – Distance Learning, 2022
As higher education institutions begin to reemerge from the global pandemic, they are reimagining how multimodal learning environments (MMLE) can be used to help shape future delivery modes. This article explores definitions for multimodal learning environments in terms of pedagogy, implementation, and management. According to this study,…
Descriptors: Higher Education, Blended Learning, Educational Environment, Delivery Systems
Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
Khaldi, Amina; Bouzidi, Rokia; Nader, Fahima – Smart Learning Environments, 2023
In recent years, university teaching methods have evolved and almost all higher education institutions use e-learning platforms to deliver courses and learning activities. However, these digital learning environments present significant dropout and low completion rates. This is primarily due to the lack of student motivation and engagement.…
Descriptors: Gamification, Electronic Learning, Higher Education, Recognition (Achievement)
Sghir, Nabila; Adadi, Amina; Lahmer, Mohammed – Education and Information Technologies, 2023
The last few years have witnessed an upsurge in the number of studies using Machine and Deep learning models to predict vital academic outcomes based on different kinds and sources of student-related data, with the goal of improving the learning process from all perspectives. This has led to the emergence of predictive modelling as a core practice…
Descriptors: Prediction, Learning Analytics, Artificial Intelligence, Data Collection
Lu, Dang-Nhac; Le, Hong-Quang; Vu, Tuan-Ha – Education Sciences, 2020
The COVID-19 epidemic is affecting all areas of life, including the training activities of universities around the world. Therefore, the online learning method is an effective method in the present time and is used by many universities. However, not all training institutions have sufficient conditions, resources, and experience to carry out online…
Descriptors: Electronic Learning, Adoption (Ideas), Higher Education, Evaluation Methods
Papanthymou, Anastasia; Darra, Maria – Higher Education Studies, 2022
The purpose of this study is to investigate the conceptual content of the term "quality" in higher education, as it emerges from the descriptions and discussions of authors, researchers, and experts in 22 scientific publications. The analysis of the qualitative data is based on the methodology of grounded theory. From the analysis, 21…
Descriptors: Educational Quality, Higher Education, Definitions, Classification
Araújo, Isabel; Faria, Pedro Miguel – International Association for Development of the Information Society, 2020
The evolution of ICT and its adoption in higher education is driving greater interactivity in teaching and learning processes. The teaching/learning paradigm has been changing. Both educational actors, teacher and student, are increasingly adapting to use technologies. This article presents a study that enhances how technologies can be used in the…
Descriptors: Student Attitudes, Integrated Learning Systems, Higher Education, Technology Integration
Horváth, László – European Journal of Higher Education, 2020
The quality agenda of higher education has a clear focus on teaching and learning. In this study, we apply a service marketing approach (GAP model) to discover the psychological contract (implicit expectations and obligations) of Hungarian higher education students (N = 356), exploring their expectations, satisfaction, obligations and self-image.…
Descriptors: Foreign Countries, Psychology, Psychological Patterns, Contracts
Kenneth David Strang; Narasimha Rao Vajjhala – Industry and Higher Education, 2024
This study explores integrating industry-crowdsourced projects within capstone courses of a 4-year Bachelor of Science program at an accredited American university. A unique business consulting model was developed for the final year course, aligning students with 16-weeks industry projects that reflected their academic goals and the program's…
Descriptors: Industry, Universities, Higher Education, Capstone Experiences