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Showing 1 to 15 of 91 results Save | Export
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Michalovich, Amir – International Journal of Social Research Methodology, 2022
Computer-Assisted Qualitative Data Analysis (CAQDAS) is becoming increasingly prevalent in the social and health sciences and an expected skill for many researchers. CAQDAS is much less structured than the use of quantitative analysis software. However, actual CAQDAS practices and challenges have been insufficiently studied, especially among…
Descriptors: Qualitative Research, Data Analysis, Computer Software, Graduate Students
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Mkrttchian, Vardan; Gamidullaeva, Leyla; Finogeev, Alexey; Chernyshenko, Serge V.; Chernyshenko, Vsevolod; Amirov, Danis; Potapova, Irina – International Journal of Web-Based Learning and Teaching Technologies, 2021
To respond to the needs of digital transformation, universities must continue to play their role as proving ground for educating the future generation and innovation. The article is devoted to overview, discussion, and investigation of application in higher education of two modern information technologies: big data and internet of things. The…
Descriptors: Influence of Technology, Higher Education, Data, Internet
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Serrano-Estrada, Leticia; Martin, Tania Josephine; Marti, Pablo – Journal of Geography in Higher Education, 2023
Research that tackles the pedagogical use of geolocated social media as an investigative tool for understanding cities in Geography and Urban Studies higher education programs has not been fully exploited. This study contributes by addressing the transferability of these sources as a research medium for enhancing student knowledge of urban…
Descriptors: Foreign Countries, Geographic Regions, Social Media, Urban Areas
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Aran, Ozge Can; Bozkir, Ahmet Selman; Gok, Bilge; Yagci, Esed – International Journal of Assessment Tools in Education, 2019
This study aims to determine the overt and covert patterns that teachers' and prospective teachers' views on the use of information and communication technology (ICT) instruments contain by using the method of data mining. The study group was composed of 192 prospective teachers attending a state university in Ankara, Turkey and 101 teachers…
Descriptors: Teacher Attitudes, Student Attitudes, Preservice Teachers, Information Technology
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Esteban, Aurora; Zafra, Amelia; Romero, Cristóbal – International Educational Data Mining Society, 2018
This paper describes a multiple criteria approach based on a hybrid method of Collaborative Filtering (CF) and ContentBased Filtering (CBF) for discovering the most relevant criteria which could affect the elective course recommendation for university students. In order to determine which factors are the most important, it is proposed a genetic…
Descriptors: College Students, Course Selection (Students), Computer Uses in Education, Elective Courses
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Bydžovská, Hana – International Educational Data Mining Society, 2016
One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students' enrollment decisions. More specifically, it provides recommendation of selective and optional courses with…
Descriptors: Enrollment, College Students, Course Selection (Students), Data Analysis
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Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
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Wong, Wing-Kwong; Chao, Tsung-Kai; Chang, Ching-Lung; Chen, Kai-Ping – International Journal of Distance Education Technologies, 2019
There has been an ongoing debate of which physical labs or virtual labs are better. To resolve this issue, a remote lab provides an online lab that can do real experiments to obtain real data from a distant physical lab. Instead of relying on a remote lab, this article suggests that students collect experimental data locally with low-cost data…
Descriptors: Foreign Countries, Science Laboratories, Data Analysis, Scaffolding (Teaching Technique)
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Chang, Ting-Cheng; Wang, Hui – EURASIA Journal of Mathematics, Science & Technology Education, 2016
This paper proposes a cloud multi-criteria group decision-making model for teacher evaluation in higher education which is involving subjectivity, imprecision and fuzziness. First, selecting the appropriate evaluation index depending on the evaluation objectives, indicating a clear structural relationship between the evaluation index and…
Descriptors: Decision Making, Models, Teacher Evaluation, College Faculty
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Ainley, Janet; Pratt, Dave – Statistics Education Research Journal, 2017
Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…
Descriptors: Computation, Models, Children, Interviews
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Goldschmidt, Ronaldo; Fernandes de Souza, Isabel; Norris, Monica; Passos, Claudio; Ferlin, Claudia; Cavalcanti, Maria Claudia; Soares, Jorge – Informatics in Education, 2016
The use of computers as teaching and learning tools plays a particularly important role in modern society. Within this scenario, Brazil launched its own version of the "One Laptop per Child" (OLPC) program, and this initiative, termed PROUCA, has already distributed hundreds of low-cost laptops for educational purposes in many Brazilian…
Descriptors: Data Collection, Data Analysis, Computer Uses in Education, Foreign Countries
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Bourque, Claude Julie; Bourdon, Sylvain – Journal of Further and Higher Education, 2017
Drawing on the experience of training graduate students and researchers in qualitative and mixed-methods analysis since the mid-1990s, the authors reflect on the evolution of a multidisciplinary graduate course developed in a Canadian university since 2007. The hands-on/hands-off course design based on the use of NVivo was developed in parallel…
Descriptors: Interdisciplinary Approach, Graduate Study, Social Science Research, Research Methodology
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Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon – Journal of Educational Computing Research, 2016
The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…
Descriptors: Engineering Education, English (Second Language), Reading Comprehension, Language Proficiency
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Gil, Einat; Gibbs, Alison L. – Statistics Education Research Journal, 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…
Descriptors: Foreign Countries, Secondary School Students, Grade 12, Statistics
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Nagy, Robin – Journal of Learning Analytics, 2016
There is an urgent need for our educational system to shift assessment regimes from a narrow, high-stakes focus on grades, to more holistic definitions that value the qualities that lifelong learners will need. The challenge for learning analytics in this context is to deliver actionable assessments of these hard-to-quantify qualities, valued by…
Descriptors: Learner Engagement, Student Evaluation, Secondary School Students, Visual Aids
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