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Steele, George E. – New Directions for Higher Education, 2018
Two of the most important issues facing those in the field of academic advising are the use of technology and data analytics. There is no question that technology and data will shape the delivery and expectations for academic advising in higher education in the years to come. This chapter explores the intersections between advising, technology,…
Descriptors: Academic Achievement, Academic Advising, Data Analysis, Technology Uses in Education
Pishtari, Gerti; Rodríguez-Triana, María J.; Sarmiento-Márquez, Edna M.; Pérez-Sanagustín, Mar; Ruiz-Calleja, Adolfo; Santos, Patricia; P. Prieto, Luis; Serrano-Iglesias, Sergio; Väljataga, Terje – British Journal of Educational Technology, 2020
Mobile and Ubiquitous Learning (m/u-learning) are finding an increasing adoption in education. They are often distinguished by hybrid learning environments that encompass elements of formal and informal learning, in activities that happen in distributed settings (indoors and outdoors), across physical and virtual spaces. Despite their purported…
Descriptors: Telecommunications, Handheld Devices, Teaching Methods, Learning Processes
Rawson, Kevin; Stahovich, Thomas F.; Mayer, Richard E. – Journal of Educational Psychology, 2017
There is a long history of research efforts aimed at understanding the relationship between homework activity and academic achievement. While some self-report inventories involving homework activity have been useful for predicting academic performance, self-reported measures may be limited or even problematic. Here, we employ a novel method for…
Descriptors: Homework, Technology Uses in Education, Academic Achievement, Engineering Education
Dong, Jian-Jie; Hwang, Wu-Yuin; Shadiev, Rustam; Chen, Ginn-Yein – Active Learning in Higher Education, 2017
In a big classroom, it is not easy for instructors to be aware of whether or not all students are engaged in the lecture and who has difficulty understanding learning content. One way in which the engagement between instructor/lecturer and students in the classroom is via technology designed to facilitate this. A computer system, making use of…
Descriptors: Lecture Method, Audience Response Systems, Handheld Devices, Learner Engagement
Vieira, Camilo; Goldstein, Molly Hathaway; Purzer, Senay; Magana, Alejandra J. – Journal of Learning Analytics, 2016
Engineering design is a complex process both for students to participate in and for instructors to assess. Informed designers use the key strategy of conducting experiments as they test ideas to inform next steps. Conversely, beginning designers experiment less, often with confounding variables. These behaviours are not easy to assess in…
Descriptors: Engineering, Design, Experiments, Student Behavior
Martín-Monje, Elena; Castrillo, María Dolores; Mañana-Rodríguez, Jorge – Computer Assisted Language Learning, 2018
Data mining is increasing its popularity in the research of Technology-Enhanced Language Learning and Applied Linguistics in general. It enables a better understanding of progress, performance and possible pitfalls, which would be useful for language learners, teachers and researchers. Until recently it was an unexplored field, but it is expected…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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
Zhang, Jia-Hua; Zhang, Ye-Xing; Zou, Qin; Huang, Sen – Educational Technology & Society, 2018
The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…
Descriptors: Data Collection, Data Analysis, Educational Research, Diaries
San Pedro, Maria Ofelia Z.; Baker, Ryan S.; Heffernan, Neil T. – Technology, Knowledge and Learning, 2017
Middle school is an important phase in the academic trajectory, which plays a major role in the path to successful post-secondary outcomes such as going to college. Despite this, research on factors leading to college-going choices do not yet utilize the extensive fine-grained data now becoming available on middle school learning and engagement.…
Descriptors: Educational Technology, Technology Uses in Education, Middle Schools, Postsecondary Education
Dorfman, Jay – Journal of Research in Music Education, 2016
Ubiquitous computing scenarios such as the one-to-one model, in which every student is issued a device that is to be used across all subjects, have increased in popularity and have shown both positive and negative influences on education. Music teachers in schools that adopt one-to-one models may be inadequately equipped to integrate this kind of…
Descriptors: Music Teachers, Music, Teaching Experience, Music Education
Lowes, Susan; Lin, Peiyi; Kinghorn, Brian – Journal of Learning Analytics, 2015
As enrolment in online courses has grown and LMS data has become accessible for analysis, researchers have begun to examine the link between in-course behaviours and course outcomes. This paper explores the use of readily available LMS data generated by approximately 700 students enrolled in the 12 online courses offered by Pamoja Education, the…
Descriptors: Integrated Learning Systems, Student Behavior, Online Courses, Asynchronous Communication
Miyamoto, Yohsuke R.; Coleman, Cody A.; Williams, Joseph Jay; Whitehill, Jacob; Nesterko, Sergiy; Reich, Justin – Journal of Learning Analytics, 2015
A long history of laboratory and field experiments have demonstrated that dividing study time into many sessions is often superior to massing study time into few sessions, a phenomenon known as the "spacing effect." We use this well-established finding from the psychology literature as inspiration for investigating how students…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Pardos, Zachary A. – Journal of Learning Analytics, 2015
In Miyamoto et al. (2015, this issue) the authors looked to substantiate the presence of the spacing effect, referenced from the psychology literature, in several MOOCs. Their secondary analyses constituted a robust, empirical finding on the correspondence between session distribution and certification but with only a coarse, analogous…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Kadijevich, Djordje M. – British Journal of Educational Technology, 2015
Because the relationship between computer use and achievement is still puzzling, there is a need to prepare and analyze good quality datasets on computer use and achievement. Such a dataset can be derived from TIMSS data. This paper describes how this dataset can be prepared. It also gives an example of how the dataset may be analyzed. The…
Descriptors: Mathematics Achievement, Computer Use, Test Items, Problem Sets
Aristovnik, Aleksander – Turkish Online Journal of Educational Technology - TOJET, 2014
Information and communication technology (ICT) is one of the most important driving forces promoting economic growth in the economy. However, one puzzling question concerns the efficient and effective impact of ICT on educational outputs and outcomes. Therefore, the purpose of the paper is to discuss and review some previous research studies on…
Descriptors: Foreign Countries, Influence of Technology, Regional Characteristics, Outcomes of Education
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