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Katherine Bui; Keith R. Berry Jr. – Journal of Research Administration, 2025
Research administrators (RA) at institutions of higher education (IHE) provide critical support to faculty throughout the lifecycle of research, which include developing research, applying to funding opportunities, managing awards through closeout, and maintaining compliance. Fulfilling these tasks requires well-developed RA processes and clear…
Descriptors: COVID-19, Pandemics, Data Collection, Data Use
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
Hongyan Xi; Dongyan Sang – International Journal of Information and Communication Technology Education, 2024
By using modern data analysis techniques, this study aims to construct an innovative university English teaching effectiveness evaluation model based on particle swarm algorithm and support vector machine. The model is designed to improve assessment accuracy and personalization. The research process includes the methodology of data collection,…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Higher Education
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
Schlosser, William E.; Aumell, Aidan J.; Kilkenny, Madison M. – Natural Sciences Education, 2023
University students stepped into synchronous remote learning as the COVID-19 pandemic arrived in spring 2020. Temporal limitations of the live field trip-based paradigm in teaching ecology have been complicated by remote learning. To meet the challenge, we have designed and deployed an immersive virtual ecology platform with associated field…
Descriptors: Blended Learning, Natural Resources, College Science, Ecology
Ali, Amira D.; Hanna, Wael K. – Journal of Educational Computing Research, 2022
With the spread of the COVID-19 pandemic, many universities adopted a hybrid learning model as a substitute for a traditional one. Predicting students' performance in hybrid environments is a complex task because it depends on extracting and analyzing different types of data: log data, self-reports, and face-to-face interactions. Students must…
Descriptors: Predictor Variables, Academic Achievement, Blended Learning, Independent Study
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
Keržic, Damijana; Aristovnik, Aleksander; Tomaževic, Nina; Umek, Lan – Interactive Technology and Smart Education, 2019
Purpose: This paper aims to study the relationship between students' activities in the e-classroom and grades for the final exam. The study was conducted at the Faculty of Administration, University of Ljubljana among first-year undergraduate students. In the e-classroom, students learn new content for individual self-study, and their knowledge is…
Descriptors: Electronic Learning, Educational Technology, Undergraduate Students, 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
Nayci, Omer – Turkish Online Journal of Distance Education, 2021
In this research, it is aimed to examine the graduate theses done about flipped classroom model in Turkey according to some variables. The data of this descriptive study which was conducted by a qualitative research approach was obtained from 105 master's and doctoral theses accessed from CoHE National Thesis Center database. The data were…
Descriptors: Foreign Countries, Flipped Classroom, Graduate Study, Masters Theses
Han, Feifei; Ellis, Robert – Australasian Journal of Educational Technology, 2020
This study combined the methods from student approaches to learning and learning analytics research by using both self-reported and observational measures to examine the student learning experience. It investigated the extent to which reported approaches and perceptions and observed online interactions are related to each other and how they…
Descriptors: Measurement Techniques, Observation, Learning Analytics, Data Collection
Ilic, Peter – International Association for Development of the Information Society, 2019
This paper reflects on an attempt to introduce smartphones into a blended learning context and highlights several methodological considerations relevant to the collection of mobile data. While mixed methods are now common, using this approach for investigating the challenges of mobile data collection is not as common. This study employed a mixed…
Descriptors: Active Learning, Handheld Devices, Telecommunications, Blended Learning
Nikolaj Broberg; Gillian Golden – OECD Publishing, 2023
Module A of the OECD Higher Education Policy Survey (HEPS) 2022 elicited information on policies to promote digitalisation of higher education in OECD member and accession countries. In total, 30 jurisdictions responded, providing comparative information on various areas of digitalisation policy, from regulation and governance to financial and…
Descriptors: Higher Education, Educational Policy, Technology Uses in Education, Foreign Countries
Peter, Johannes; Leichner, Nikolas; Mayer, Anne-Kathrin; Krampen, Günter – Studies in Higher Education, 2017
This paper presents an approach to information literacy instruction in colleges and universities that combines online and classroom learning (Blended Learning). The concept includes only one classroom seminar, so the approach presented here can replace existing one-shot sessions at colleges and universities without changes to the current workflow.…
Descriptors: Information Literacy, Blended Learning, Instructional Design, Foreign Countries