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Farrell, Shannon L.; Kelly, Julia A.; Hendrickson, Lois G.; Mastel, Kristen L. – Issues in Science and Technology Librarianship, 2023
Historic data in analog (or print) format is a valuable resource that is utilized by scientists in many fields. This type of data may be found in various locations on university campuses including offices, labs, storage facilities, and archives. This study investigates whether biological data held in one institutional university archives could be…
Descriptors: Archives, Universities, Data, Data Collection
Yu Jie; Xinyun Zhou – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper explores using data mining in English teaching assessment in higher education within the 'Internet + Education' era. Traditional assessment methods struggle to meet modern teaching needs. By collecting diverse data like student performance and learning behavior, and employing data mining, a comprehensive assessment model is built. This…
Descriptors: College English, Program Evaluation, Evaluation Methods, Data Collection
Jaggia, Sanjiv; Kelly, Alison; Lertwachara, Kevin; Chen, Leida – Decision Sciences Journal of Innovative Education, 2020
Experiential learning opportunities have been proven effective in teaching applied and complex subjects such as business analytics. Current business analytics pedagogy tends to focus heavily on the modeling phase with students often lacking a comprehensive understanding of the entire analytics process including dealing with real-life data that are…
Descriptors: Business Administration Education, Data Analysis, Information Retrieval, Experiential Learning
Mitrovic, Antonija, Ed.; Bosch, Nigel, Ed. – International Educational Data Mining Society, 2022
For this 15th iteration of the International Conference on Educational Data Mining (EDM 2022), the conference was held in Durham, England, with an online hybrid format for virtual participation as well. EDM is organized under the auspices of the International Educational Data Mining Society. The theme of this year's conference is Inclusion,…
Descriptors: Information Retrieval, Data Analysis, Feedback (Response), Inclusion
Shatnawi, Raed; Althebyan, Qutaibah; Ghaleb, Baraq; Al-Maolegi, Mohammed – International Journal of Web-Based Learning and Teaching Technologies, 2021
Academic advising is a time-consuming activity that takes a considerable effort in guiding students to improve student performance. Traditional advising systems depend greatly on the effort of the advisor to find the best selection of courses to improve student performance in the next semester. There is a need to know the associations and patterns…
Descriptors: Academic Advising, Course Selection (Students), Educational Technology, Information Technology
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
Wood-Doughty, Alex; Bergstrom, Ted; Steigerwald, Douglas G. – College & Research Libraries, 2019
Download rates of academic journals have joined citation counts as commonly used indicators of the value of journal subscriptions. While citations reflect worldwide influence, the value of a journal subscription to a single library is more reliably measured by the rate at which it is downloaded by local users. If reported download rates accurately…
Descriptors: Information Retrieval, Periodicals, Citations (References), Electronic Libraries
Jaiswal, Garima; Sharma, Arun; Yadav, Sumit Kumar – International Journal of Information and Communication Technology Education, 2019
In the world of technology, tools and gadgets, a huge amount of data is produced every second in applications ranging from medical science, education, business, agriculture, economics, retail and telecom. Higher education institutes play an important role in the overall development of any nation. For the successful operation of these institutions,…
Descriptors: Prediction, Dropouts, Dropout Rate, Classification
Motz, Benjamin; Busey, Thomas; Rickert, Martin; Landy, David – International Educational Data Mining Society, 2018
Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…
Descriptors: Data Collection, Data Analysis, Enrollment, Higher Education
Arnold, Karen D.; Owen, Laura; Lewis, Jonathan – Journal of College Access, 2020
Making college access and success more equitable at a national scale requires alternatives to intensive in-person modes of pre-college advising. Text-message advising campaigns are a promising intervention model for delivering college application and financial aid assistance affordably to large populations of college-intending, low-income…
Descriptors: Academic Advising, Telecommunications, Handheld Devices, College Bound Students
Demirbas, Irem; Sahin, Ayfer – International Journal of Progressive Education, 2020
Today, digital technologies are used extensively in all areas of life, so education has important role to raise individuals who are researching, questioning, and constructing the knowledge. Digital storytelling; Written, visual, audio tools that work together, providing information in a digital environment is a method that allows students to learn…
Descriptors: Foreign Countries, Story Telling, Technology Uses in Education, Educational Research
Hartnett, Jessica L. – Teaching of Psychology, 2016
This article describes two class activities that introduce the concept of data mining and very basic data mining analyses. Assessment data suggest that students learned some of the conceptual basics of data mining, understood some of the ethical concerns related to the practice, and were able to perform correlations via the Statistical Package for…
Descriptors: Data Collection, Information Retrieval, Statistical Analysis, Statistics
Wang, Xueli – Research in Higher Education, 2016
This research focuses on course-taking patterns of beginning community college students enrolled in one or more non-remedial science, technology, engineering, and mathematics (STEM) courses during their first year of college, and how these patterns are mapped against upward transfer in STEM fields of study. Drawing upon postsecondary transcript…
Descriptors: Community Colleges, Two Year College Students, Course Selection (Students), STEM Education
Jian, Yuheng Helen; Javaad, Sohail Syed; Golab, Lukasz – Informatics in Education, 2016
In this paper, we take a new look at the problem of analyzing course evaluations. We examine ten years of undergraduate course evaluations from a large Engineering faculty. To the best of our knowledge, our data set is an order of magnitude larger than those used by previous work on this topic, at over 250,000 student evaluations of over 5,000…
Descriptors: Course Evaluation, Undergraduate Students, Engineering Education, Data Collection
Chen, Chen-Tung; Chang, Kai-Yi – EURASIA Journal of Mathematics, Science & Technology Education, 2017
The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…
Descriptors: Data Collection, Data Analysis, Foreign Countries, Higher Education