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Nkomo, Larian M.; Nat, Muesser – TechTrends: Linking Research and Practice to Improve Learning, 2021
With various digital technologies increasingly integrated into higher education, understanding how students engage with such technologies has become vital. There are different ways to measure student engagement; however, self-reported measures such as questionnaires are predominantly used to understand student engagement. In contrast, this study…
Descriptors: Learner Engagement, Blended Learning, Educational Environment, Data Collection
Ameloot, Elise; Rotsaert, Tijs; Schellens, Tammy – Journal of Computer Assisted Learning, 2022
Background: Although blended learning (BL) has multiple educational prospects, it also poses challenges such as keeping students motivated. Objectives: This study investigates students' perceptions of how learning analytics (LA) can be used to support the design of a BL environment in order to promote students' basic need for relatedness, which is…
Descriptors: Learning Analytics, Blended Learning, Student Attitudes, Need Gratification
Ping Zhao; Chunling Sun; Baojun Lv; Lan Guo; Jiansheng Gao; Xin Zhao; Fengming Jiao – International Journal of Information and Communication Technology Education, 2024
This paper discusses the application value of the writing teaching mode combined with the mixed teaching mode in college English writing teaching against the background of big data. Focusing on production-oriented approach (POA) theory, this paper proposes a mixed learning writing model for English teaching and applies the POA mixed learning…
Descriptors: Writing Instruction, Blended Learning, Data Analysis, Data Collection
George W. Bush Institute, 2021
Student veterans face a unique educational challenge: The same characteristics that signal their potential for academic success often create the obstacles to achieving it. Student veterans are typically older, married, have families and financial obligations, and often either serve as a caregiver or are being treated for a personal disability.…
Descriptors: Veterans Education, Student Characteristics, College Students, School Policy
Clayton, Penny R.; Clopton, Jeremy – Journal of Education for Business, 2019
Data analytics is an integral part of planning and decision making in business. Priorities have shifted to hiring skilled employees to support a company's analytics requirements. The authors discuss the background of big data and data analytics, demand for trained professionals, and information on the development of a data analytics curriculum.…
Descriptors: College Students, Business Administration Education, Curriculum Design, Data Analysis
Fincham, Ed; Gasevic, Dragan; Jovanovic, Jelena; Pardo, Abelardo – IEEE Transactions on Learning Technologies, 2019
Research into self-regulated learning has traditionally relied upon self-reported data. While there is a rich body of literature that has extracted invaluable information from such sources, it suffers from a number of shortcomings. For instance, it has been shown that surveys often provide insight into students' perceptions about learning rather…
Descriptors: Study Habits, Learning Strategies, Independent Study, Educational Research
Sun, Susan Y. H. – Distance Education, 2016
This study reports on a teacher's ongoing design activities in a fully online language course when the class was in progress. The aims were, firstly, to provide first-hand experience and insight into a teacher's design work in a real-life, technology-enhanced learning (TEL) classroom; and secondly, to facilitate reflective analysis of the emerging…
Descriptors: Instructional Design, Online Courses, Web Based Instruction, Computer Assisted Instruction
Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H. – Educational Technology & Society, 2018
Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Data Collection
Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
Yang, Yu-Fen – Interactive Learning Environments, 2016
Low foreign language achievers in vocational education often have a lack of learning strategies, a tendency to feel frustrated, and unwillingness to be involved. In order to develop vocational college students' autonomy, this study integrated on-site workshops with an online learning community by means of self-directed learning English for…
Descriptors: Foreign Countries, Independent Study, Personal Autonomy, Communities of Practice
Castaño, Jonatan; Duart, Josep M.; Sancho-Vinuesa, Teresa – Journal of New Approaches in Educational Research, 2015
The use of the Internet in higher education teaching can facilitate the interactive learning process and thus improve educational outcomes. The aim of the study presented here is to explore which variables are linked to higher intensity of Internet-based interactive educational practices. The study is based on data obtained from an online survey…
Descriptors: Use Studies, Internet, Higher Education, Educational Practices
Shivetts, Courtney – International Journal on E-Learning, 2011
Many colleges and universities are now investing in more e-learning and blended learning courses. For a course to be worth the investment the institution must first recognize the most important factors to consider while developing the course. Of all the factors considered while developing a course the student must be considered as the most…
Descriptors: Electronic Learning, Blended Learning, Online Courses, Literature
Manning, Kim Elise – ProQuest LLC, 2010
This Delphi study explored the instructional practices of community college faculty who were teaching blended or Web-assisted courses and how these practices influenced student persistence. The Delphi method provided qualitative data in the form of expert advice through consensus building on the instructional practices most likely to influence…
Descriptors: Feedback (Response), Delphi Technique, Persistence, Adjunct Faculty
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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