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Elizabeth S. Thrall; Fernando Martinez Lopez; Thomas J. Egg; Seung Eun Lee; Joshua Schrier; Yijun Zhao – Journal of Chemical Education, 2023
Given the growing prevalence of computational methods in chemistry, it is essential that undergraduate curricula introduce students to these approaches. One such area is the application of machine learning (ML) techniques to chemistry. Here we describe a new activity that applies ML regression analysis to the common physical chemistry laboratory…
Descriptors: Chemistry, Physics, Science Laboratories, Scientific Concepts
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Firmansyah; Gustriza Erda; Arie Wibowo Khurniawan – Turkish Online Journal of Distance Education, 2024
To overcome the difficulty and unprecedented suspensions due to the COVID-19 pandemic, every organization is required to consider strategic steps to sustain, one of which is by implementing digital transformation and developing leadership capability. This study aims to determine the impact of digital transformation and leadership capability in…
Descriptors: Technology Uses in Education, Educational Change, Distance Education, Resilience (Psychology)
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Gordon, Sheldon P.; Gordon, Florence S. – PRIMUS, 2020
This article illustrates ways that dynamic software using some sophisticated techniques in Excel can be used to demonstrate fundamental ideas related to hypothesis testing to increase student understanding of the concepts and methods in elementary statistics courses. The article considers hypothesis tests for the population mean with large or…
Descriptors: Hypothesis Testing, Computer Software, Educational Technology, Technology Uses in Education
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Christensen, Steven S.; Spackman, Jonathan S. – Journal of Educators Online, 2017
This paper explores a new tool for instructional designers. By calculating and graphing the Student Momentum Indicator (M) for 196 university-level online courses and by employing the constant comparative method within the grounded theory framework, eight distinct graph shapes emerged as meaningful categories of dropout behavior. Several of the…
Descriptors: Instructional Design, Distance Education, College Students, Comparative Analysis
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Saas, Tyler; Kemp, James – Research Management Review, 2017
Deloitte Consulting LLP conducted a review of publicly available data sources with the goal of identifying the pre- and post-award systems used in higher education. The number and type of pre- and post-award systems identified not only show that higher education institutions (HEIs) use a variety of methods to facilitate research activities, but…
Descriptors: Research Administration, Higher Education, Awards, Primary Sources
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Gameel, Bahaa G. – American Journal of Distance Education, 2017
This study investigates factors that influence learners' satisfaction with massive open online courses (MOOCs). Framed by the theory of independent learning and teaching, the three types of interaction model, and the technology acceptance model, this study analyzed data collected from 1,786 learners enrolled in four MOOCs. Results show that the…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Rashid, Mamunur; Sarkar, Jyotirmoy – Educational Research Quarterly, 2018
Students in an online statistics course were prone to become increasingly disengaged as the semester progressed. In Spring 2015, we took a proactive measure to retain student engagement by introducing a cyber mentoring session. We describe the framework, operation and effectiveness of cyber mentoring in improving students' learning experience and…
Descriptors: Online Courses, Statistics, Educational Technology, Technology Uses in Education
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Shroff, Ronnie H.; Keyes, Christopher J. – Journal of Information Technology Education: Research, 2017
Aim/Purpose: By integrating a motivational perspective into the Technology Acceptance Model, the goal of this study is to empirically test the causal relationship of intrinsic motivational factors on students' behavioral intention to use (BIU) a mobile application for learning. Background: Although the Technology Acceptance Model is a significant…
Descriptors: Student Motivation, Student Behavior, Intention, Telecommunications
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Shigeta, Katsusuke; Koizumi, Mitsuyo; Sakai, Hiroyuki; Tsuji, Yasuhiro; Inaba, Rieko; Hiraoka, Naoshi – Open Praxis, 2017
Awareness about Open Educational Resources (OERs) and the purposes for offering and adopting OERs and Massive Open Online Courses (MOOCs) were analyzed using a detailed survey of higher education across Japan, which was conducted in 2015. A comparison with a similar study conducted in 2013 revealed that awareness of OERs has increased slightly and…
Descriptors: Resource Units, Shared Resources and Services, Large Group Instruction, Online Courses
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Ouedraogo, Boukary – Higher Education Studies, 2017
This article uses data survey on 82 teachers from the University of Ouagadougou and the model of unified theory of acceptance and use of technology (UTAUT) to assess the determinants of acceptance and educational use of ICT by teachers. The paper's outcomes show that the construct "performance expectancy" of ICT (expected utility and…
Descriptors: Foreign Countries, Models, Information Technology, Computer Attitudes
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Morton, David A.; Colbert-Getz, Jorie M. – Anatomical Sciences Education, 2017
The flipped classroom (FC) model has emerged as an innovative solution to improve student-centered learning. However, studies measuring student performance of material in the FC relative to the lecture classroom (LC) have shown mixed results. An aim of this study was to determine if the disparity in results of prior research is due to level of…
Descriptors: Educational Technology, Technology Uses in Education, Homework, Video Technology
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Nitza, Davidivitch; Roman, Yavich – International Journal of Higher Education, 2016
In recent years, there has been a significant rise in the use of technological means in general and in academic teaching in particular. Many programs have been developed that include computer-assisted teaching, as well as online courses at educational institutions. The current study focuses on WhatsApp messaging and its use in academia. Studies…
Descriptors: Telecommunications, Technology Uses in Education, Educational Technology, Communication Strategies
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Olufunmilola Ogulande, Oyeronke; Oladimeji Olafare, Festus; Ayuba Sakaba, Dabo – Digital Education Review, 2016
The proliferation and utilization of handheld mobile technology among undergraduates for mobile learning cannot be underestimated. This study was geared towards investigating individual and technological factors affecting the perceived usefulness of mobile technology by undergraduates in university of Ilorin, Nigeria. The study was a descriptive…
Descriptors: Foreign Countries, Undergraduate Students, Technology Uses in Education, Telecommunications
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Kiss, Gabor – Turkish Online Journal of Educational Technology - TOJET, 2016
The teachers use different presentation tools in Higher Education to make the presentation enjoyable for the students. I used MS Power Point or Prezi in my presentations in two different groups of the freshmen students at the University. The aim of this research was an analysis of the paper results in two groups of students to reveal the influence…
Descriptors: Higher Education, Educational Technology, Technology Uses in Education, Computer Software
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Akman, Ibrahim; Turhan, Cigdem – Innovations in Education and Teaching International, 2017
This study aims to explore the users' behaviour and acceptance of social media for learning in higher educational institutions with the help of the extended Technology Acceptance Model (TAM). TAM has been extended to investigate how ethical and security awareness of users affect the actual usage of social learning applications. For this purpose, a…
Descriptors: Higher Education, Models, Social Media, Structural Equation Models
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