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Jelena Mihajlovic-Milicevic; Miloš Radenkovic; Aleksandra Labus; Danijela Stojanovic; Zorica Bogdanovic – Interactive Learning Environments, 2024
This paper studies the problem of coordination and supervision of virtual teams and their capabilities. The goal is to develop a model suitable for managing virtual student teams specialized in the development of smart environments. The developed model is based on SAFe and DevOps, which when combined provide us with a framework for the evaluation…
Descriptors: Educational Environment, Virtual Classrooms, Group Instruction, Active Learning
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Mikhailova, Elena A.; Post, Christopher J.; Zurqani, Hamdi A.; Younts, Grayson L. – Education Sciences, 2022
Crowdsourcing is an important tool for collecting spatio-temporal data, which has various applications in education. The objectives of this study were to develop and test a laboratory exercise on soil erosion by water and field data crowdsourcing in an online introductory soil science course (FNR 2040: Soil Information Systems) at Clemson…
Descriptors: Social Sciences, Telecommunications, Handheld Devices, Geographic Information Systems
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Senger, Kim; Nordmo, Ivar – Journal of Geoscience Education, 2021
The emergence of digital tools, including tablets with a multitude of built-in sensors, allows gathering many geological observations digitally and in a geo-referenced context. This is particularly important in the polar environments where (1) limited time is available at each outcrop due to harsh weather conditions, and (2) outcrops are rarely…
Descriptors: Earth Science, Science Instruction, Teaching Methods, Educational Technology
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Oliveira, David Manuel Duarte; Pedro, Luís; Santos, Carlos – Smart Learning Environments, 2021
This paper was developed within the scope of a PhD thesis that intends to characterize the use of mobile applications by the students of the University of Aveiro during class time. The main purpose of this paper is to present the results of an initial pilot study that aimed to fine-tune data collection methods in order to gather data that…
Descriptors: Telecommunications, Higher Education, Pilot Projects, Handheld Devices
Small, Marian; Duff, Doug – ASCD, 2018
The pressure is on. Principals, expected to improve math performance at their schools, often don't know where to begin--as they may be uncomfortable with math themselves or believe that their schools are already doing all that they can. How can K-12 school leaders recognize and ensure that their school or district is supporting good math…
Descriptors: Principals, Mathematics Achievement, Mathematics Instruction, Elementary Secondary Education
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Beck, Jori S.; Morgan, Joseph John; Brown, Nancy; Whitesides, Heather; Riddle, Derek R. – Educational Forum, 2020
The current study explored preservice and inservice teachers' perspectives on data literacy for teaching. Semi-structured interviews were employed with 12 teacher candidates in elementary and special education. The findings revealed participants' misconceptions regarding formative and summative data; their understanding of the value of formative…
Descriptors: Preservice Teachers, Literacy, Preservice Teacher Education, Undergraduate Students
Shute, Valerie; Rahimi, Seyedahmad; Smith, Ginny – Grantee Submission, 2019
Well-designed digital games hold promise as effective learning environments. However, designing games that support both learning and engagement without disrupting flow is quite tricky. In addition to including various game design features (e.g., interactive problem solving, adaptive challenges, and player control of gameplay) to engage players,…
Descriptors: Physics, Science Instruction, Educational Games, Educational Technology
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Moltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Almatrafi, Omaima – ProQuest LLC, 2018
A Massive Open Online Course (MOOC) is a course that is offered fully online and is usually open for enrollment by any individual, with no limit on the number of participants. MOOCs are a popular resource for learning worldwide with over 23 million new learners registering for MOOCs in 2017 alone. Coursera, the most popular MOOC platform, has…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Knight, David B.; Brozina, Cory; Novoselich, Brian – Journal of Learning Analytics, 2016
This paper investigates how first-year engineering undergraduates and their instructors describe the potential for learning analytics approaches to contribute to student success. Results of qualitative data collection in a first-year engineering course indicated that both students and instructors emphasized a preference for learning analytics…
Descriptors: Undergraduate Students, Engineering Education, College Faculty, Attitude Measures
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Kinkead, Karl J.; Miller, Heather; Hammett, Richard – Journal of Continuing Higher Education, 2016
Two purposes existed for initiating this qualitative case study involving adults who had completed a college-level business statistics course. The first purpose was to explore adult challenges with stress and anxiety during the course: a phenomenon labeled statistics anxiety in the literature. The second purpose was to gain insight into adult…
Descriptors: College Students, Student Attitudes, Adult Students, Teaching Methods
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Loepp, Eric D. – Journal of Political Science Education, 2018
In an effort to promote learning in classrooms, political science instructors are increasingly turning to interactive teaching strategies--experiments, simulations, etc.--that supplement traditional lecture formats. In this article, I advocate the use of student-generated data as a powerful teaching tool that can be used in a variety of ways to…
Descriptors: Political Science, Teaching Methods, Interaction, Data Collection
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Yeung, Cheuk Yu; Shum, Kam Hong; Hui, Lucas Chi Kwong; Chu, Samuel Kai Wah; Chan, Tsing Yun; Kuo, Yung Nin; Ng, Yee Ling – International Association for Development of the Information Society, 2017
Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Handheld Devices
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Figueiredo, M.; Esteves, L.; Neves, J.; Vicente, H. – Chemistry Education Research and Practice, 2016
This study reports the use of data mining tools in order to examine the influence of the methodology used in chemistry lab classes, on the weight attributed by the students to the lab work on learning and own motivation. The answer frequency analysis was unable to discriminate the opinions expressed by the respondents according to the type of the…
Descriptors: Data Collection, Data Analysis, Chemistry, Science Instruction
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Wang, Shudong; Iwata, Jun; Jarrell, Douglas – JALT CALL Journal, 2018
Since 2010, both universities in which the authors teach have integrated pc-based e-learning or mobile learning programs into several English courses. Students' online performances are evaluated and used in determining the grades for each course. The data accumulated over the years indicates both changing and unchanged e-learning habits among…
Descriptors: Electronic Learning, English (Second Language), Second Language Learning, Second Language Instruction
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