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Direct linkOliveira, 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
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
Taçgin, Zeynep; Arslan, Ahmet – Education and Information Technologies, 2017
The purpose of this study is to determine perception of postgraduate Computer Education and Instructional Technologies (CEIT) students regarding the concepts of Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), Augmented Virtuality (AV) and Mirror Reality; and to offer a table that includes differences and similarities between…
Descriptors: Graduate Students, Student Attitudes, Computer Science Education, Educational Technology
Casleton, Emily; Beyler, Amy; Genschel, Ulrike; Wilson, Alyson – Journal of Statistics Education, 2014
Undergraduate students who have just completed an introductory statistics course often lack deep understanding of variability and enthusiasm for the field of statistics. This paper argues that by introducing the commonly underemphasized concept of measurement error, students will have a better chance of attaining both. We further present lecture…
Descriptors: Undergraduate Students, Statistics, Measurement Techniques, Error of Measurement
Duis, Jennifer M. – Journal of Chemical Education, 2011
An exploratory study was conducted with 23 organic chemistry educators to discover what general chemistry concepts they typically review, the concepts they believe are fundamental to introductory organic chemistry, the topics students find most difficult in the subject, and the misconceptions they observe in undergraduate organic chemistry…
Descriptors: Fundamental Concepts, Organic Chemistry, Misconceptions, Higher Education
Download full textWallstrum, Kiara – Online Submission, 2009
The focus of this paper examines how dual language education (DLE) programs are valuable. The literature shows that children do much more than just thrive in a dual language environment. According to research, children who are bilingual are cognitively, academically, intellectually, socially and verbally more advantaged than their monolingual…
Descriptors: Immersion Programs, Monolingualism, Educational Experience, Misconceptions
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
