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Çibik, Naz Fulya; Boz-Yaman, Burçak – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
The purpose of this paper is to integrate mathematical modeling and ecology by presenting an activity involving an authentic environmental problem, which is called "Pine Processionary Caterpillars Invasion." Adopting Mathematical Modeling and Education for Climate Action (EfCA) approaches, it was aimed to encourage pre-service teachers…
Descriptors: Mathematical Models, Ecology, Climate, Problem Solving
Sarikas, Gamze; Demir, Safiye Bilican – International Journal of Assessment Tools in Education, 2020
The purpose of this study is to examine the written response instruments used in postgraduate theses completed in the field of special education in Turkey between 2015 and 2018 and explore the psychometric profiles of these instruments. In the study, a total of 137 master's theses and 37 dissertations were reviewed using the Data Collection…
Descriptors: Foreign Countries, Psychometrics, Doctoral Students, Doctoral Dissertations
Tsai, Yea-Ru; Ouyang, Chen-Sen; Chang, Yukon – Journal of Educational Computing Research, 2016
The purpose of this study is to propose a diagnostic approach to identify engineering students' English reading comprehension errors. Student data were collected during the process of reading texts of English for science and technology on a web-based cumulative sentence analysis system. For the analysis, the association-rule, data mining technique…
Descriptors: Engineering Education, English (Second Language), Reading Comprehension, Language Proficiency
Yuksel, Dogan; Inan-Karagul, Banu; Fidan, Dilek – Educational Research and Reviews, 2017
This current study examined the effects of the type of errors learners make (that is, phonological, lexical and grammar), proficiency level of the learners (that is, A1, A2, B1, B2 and C1) and nature of the recasts (that is, long and short) on the uptake of the learners. The data of this study came from the video-recordings of A1, A2, B1, B2 and…
Descriptors: Foreign Countries, College Students, Foreign Students, Second Language Learning
Jupri, Al; Drijvers, Paul – EURASIA Journal of Mathematics, Science & Technology Education, 2016
To investigate student difficulties in solving word problems in algebra, we carried out a teaching experiment involving 51 Indonesian students (12/13 year-old) who used a digital mathematics environment. The findings were backed up by an interview study, in which eighteen students (13/14 year-old) were involved. The perspective of mathematization,…
Descriptors: Foreign Countries, Grade 7, Algebra, Word Problems (Mathematics)
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

Ashworth, Gregory J. – Journal of Geography in Higher Education, 1983
The accuracy of data collected by Dutch geography students in a field study of commercial activities in a French city was monitored with data available from official lists. The causes of error, both in student work and official sources, and some lessons for future field work are examined. (Author/IS)
Descriptors: Comparative Education, Data Collection, Educational Research, Error Patterns
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
Merceron, Agathe; Yacef, Kalina – Journal of Interactive Learning Research, 2004
In this article we describe the initial investigations that we have conducted on student data collected from a web-based tutoring tool. We have used some data mining techniques such as association rule and symbolic data analysis, as well as traditional SQL queries to gain further insight on the students' learning and deduce information to improve…
Descriptors: Computer Uses in Education, Logical Thinking, Internet, Data Analysis
Gorard, Stephen; Smith, Emma – International Journal of Lifelong Education, 2006
This article emerges from a recent review of evidence, conducted by the authors and others, on the lifelong barriers to widening participation in higher education in England. This has led us to a consideration of the quality and relevance of the research activity in this large field of endeavour, and to the creation of a typology of the kinds of…
Descriptors: Foreign Countries, Lifelong Learning, Higher Education, Access to Education

Chapman, David W.; Dhungana, Madhup – Evaluation and Program Planning, 1991
The quality of educational data in Nepal was evaluated by investigating three questions: (1) the extent of reporting error in national education data; (2) accuracy of error estimation; and (3) levels at which error is introduced. Evidence suggests that data may be more accurate than decision makers suppose. (SLD)
Descriptors: Data Collection, Decision Making, Developing Nations, Educational Research
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection