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Chatti, Mohamed Amine; Muslim, Arham – International Review of Research in Open and Distributed Learning, 2019
Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…
Descriptors: Guidelines, Data Analysis, Learning Experience, Metacognition
Gelan, Anouk; Fastré, Greet; Verjans, Martine; Martin, Niels; Janssenswillen, Gert; Creemers, Mathijs; Lieben, Jonas; Depaire, Benoît; Thomas, Michael – Computer Assisted Language Learning, 2018
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…
Descriptors: Data Collection, Data Analysis, Computer Assisted Instruction, Second Language Instruction
Howell, Scott L.; Le, Beihe – Online Journal of Distance Learning Administration, 2017
The purpose of this paper is to identify and explain the best practice of using "big data" reports to help distance learning administrators better understand their own programs and represent them to stakeholders. The authors examine five reports: (1) the number and percentage of graduates from the main campus who also take classes at the…
Descriptors: Reports, Distance Education, Educational Technology, Technology Uses in Education
Bendjebar, Safia; Lafifi, Yacine; Zedadra, Amina – International Journal of Distance Education Technologies, 2016
In e-learning systems, tutors have a significant impact on learners' life to increase their knowledge level and to make the learning process more effective. They are characterized by different features. Therefore, identifying tutoring styles is a critical step in understanding the preference of tutors on how to organize and help the learners. In…
Descriptors: Tutors, Tutoring, Tutor Training, Tutorial Programs
Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
Search, Matthew L. – ProQuest LLC, 2010
Distance education pedagogies and methods are of critical importance to contemporary university-level composition education. However, the current literature regarding distance education applications in communication courses underscores several limitations: these distance technologies are envisioned in terms of "writing" courses, which avoids or…
Descriptors: Education Courses, Writing (Composition), Distance Education, Business Communication
Frydenberg, Jia – International Review of Research in Open and Distance Learning, 2007
This study presents persistence and attrition data from two years of data collection. Over the eight quarters studied, the persistence rate in online courses was 79 percent. The persistence rate for similar onground courses was 84 percent. The drops for both course modalities were disaggregated by the "time" of the request for withdrawal: before…
Descriptors: Academic Persistence, Online Courses, Continuing Education, Dropout Rate
Sánchez, Inmaculada Arnedillo, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2013
These proceedings contain the papers of the International Conference on Mobile Learning 2013, which was organised by the International Association for Development of the Information Society, in Lisbon, Portugal, March 14-16, 2013. The Mobile Learning 2013 International Conference seeks to provide a forum for the presentation and discussion of…
Descriptors: Conference Papers, Telecommunications, Technology Uses in Education, Educational Technology
US Department of Education, 2008
This guide is designed as a resource for leaders and evaluators of K-12 online learning programs. In this guide, the term "online learning" is used to refer to a range of education programs and resources in the K-12 arena, including distance learning courses offered by universities, private providers, or teachers at other schools;…
Descriptors: Elementary Secondary Education, Distance Education, Online Courses, Web Sites
Lockwood, Fred – 1991
This study demonstrated the use of self-recorded audiotape to collect data on students' perceptions, attitudes, and use of learning activities in written teaching texts. The process of asking students to respond to questions within the teaching text was straightforward and presented few problems in subsequent analysis. On several indicators…
Descriptors: Audiotape Recordings, Comparative Analysis, Data Collection, Distance Education

Slade, Alexander L. – 1988
This report involved a survey of 199 postsecondary institutions in Canada to determine how many universities and colleges provide some type of library support for their off-campus and distance-education students; and to tabulate and compare the types of library support provided by those institutions. The report contains narrative, a series of 21…
Descriptors: Academic Libraries, Comparative Analysis, Data Collection, Distance Education
Woodley, Alan – Open Learning, 1986
Funded by the Department of Education and Science in 1981, this study was carried out by a team of researchers from a polytechnic institute, a private university, and the Open University. A national sample of about 4,500 mature students who were taking a wide range of courses--from evening classes to full-time higher degrees--completed detailed…
Descriptors: Comparative Analysis, Continuing Education, Data Collection, Demography
Morrow, Donna – 2002
This study is an ongoing examination of the effectiveness of an online professional development course designed to examine the connection between learning theory and technology used to support learning in the classroom. The course was taught by three methodologies: a traditional face-to-face class that used the online materials as a resource; an…
Descriptors: Comparative Analysis, Computer Uses in Education, Data Collection, Distance Education

White, Cynthia – System, 1995
Examines results from a comparative study of the strategies of distance and classroom foreign language learners (French, German, Japanese, and Chinese) enrolled in a dual-mode institution. Data on strategy use was collected through a questionnaire and the yoked subject technique. Results indicate that mode of study is the predominant influence on…
Descriptors: Chinese, Comparative Analysis, Data Collection, Distance Education
Zang, Wei; Lin, Fuzong – International Journal of Distance Education Technologies, 2006
Student behavior analysis is an active research topic in distance education in recent years. In this article, we propose a new method called Boosting to investigate students' behaviors. The Boosting Algorithm can be treated as a data mining method, trying to infer from a large amount of training data the essential factors and their relations that…
Descriptors: Student Behavior, Distance Education, Data Collection, Data Analysis
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