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Marjahan Begum; Pontus Haglund; Ari Korhonen; Violetta Lonati; Mattia Monga; Filip Strömbäck; Artturi Tilanterä – Informatics in Education, 2024
There can be many reasons why students fail to answer correctly to summative tests in advanced computer science courses: often the cause is a lack of prerequisites or misconceptions about topics presented in previous courses. One of the ITiCSE 2020 working groups investigated the possibility of designing assessments suitable for differentiating…
Descriptors: Foreign Countries, College Students, Prerequisites, Computer Science Education
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Jafri, Mairaj – Waikato Journal of Education, 2022
This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…
Descriptors: Data Collection, Research Problems, Doctoral Dissertations, Online Surveys
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Adrian Adams; Lauren Barth-Cohen – CBE - Life Sciences Education, 2024
In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…
Descriptors: Undergraduate Students, Physics, Science Instruction, Laboratory Experiments
Stephen Hackler – ProQuest LLC, 2020
Though extensively documented, the exact mechanism responsible for pattern formation on insect bristles and scales is not completely understood. Using both scanning and transmission electron microscopy, we assemble a rough time series of pattern formation on butterfly wing scales. We also perform a numerical simulation of the Swift-Hohenberg…
Descriptors: Science Instruction, Entomology, Scientific Concepts, Physics
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Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
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Lopez, Jameson D. – Journal of Diversity in Higher Education, 2021
The purpose of this study is to use Indigenous data collection to present construct validity of an instrument designed to test the American Indian/Alaska Native Millennium Falcon Postsecondary Persistence Model (Lopez, 2018). In the following, I describe an alternative sampling technique based on an Indigenous quantitative methodology to examine…
Descriptors: Construct Validity, Measures (Individuals), American Indian Students, Alaska Natives
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Tripp, Brie; Shortlidge, Erin E. – CBE - Life Sciences Education, 2020
In a world of burgeoning societal issues, future scientists must be equipped to work interdisciplinarily to address real-world problems. To train undergraduate students toward this end, practitioners must also have quality assessment tools to measure students' ability to think within an interdisciplinary system. There is, however, a dearth of…
Descriptors: Data Collection, Interdisciplinary Approach, Scoring Rubrics, Science and Society
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Nadelson, Louis; Jorcyk, Cheryl; Yang, Dazhi; Jarratt Smith, Mary; Matson, Sam; Cornell, Ken; Husting, Virginia – School Science and Mathematics, 2014
Trust in science and scientists can greatly influence consideration of scientific developments and activities. Yet, trust is a nebulous construct based on emotions, knowledge, beliefs, and relationships. As we explored the literature regarding trust in science and scientists we discovered that no instruments were available to assess the construct,…
Descriptors: Trust (Psychology), Test Construction, College Faculty, Undergraduate Students
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Tuncer, Murat – Journal of Education and Training Studies, 2017
The main aim of this study is to determine whether a significant difference exits among data collection with printed materials and with smart phones. The research was conducted with 282 teacher candidates who take pedagogical formation training. Three data collection tools were used throughout the study. As the results of the current research, no…
Descriptors: Test Reliability, Test Validity, Research Methodology, Handheld Devices
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Bretz, Stacey Lowery; McClary, LaKeisha – Journal of Chemical Education, 2015
Most organic chemistry reactions occur by a mechanism that includes acid-base chemistry, so it is important that students develop and learn to use correct conceptions of acids and acid strength. Recent studies have described undergraduate organic chemistry students' cognitive resources related to the Brønsted-Lowry acid model and the Lewis acid…
Descriptors: Knowledge Level, Familiarity, Organic Chemistry, Scientific Literacy
Moffett, David W. – Online Submission, 2016
What are the challenges faced by a mid-south liberal arts college teacher education program, in its attempt to successfully meet the new Council for the Accreditation of Educator Preparation (CAEP) accreditation requirements? The Investigator studied the Educator Program Provider (EPP) during academic year 2015-2016. The challenges faced by the…
Descriptors: Teacher Education Programs, Accreditation (Institutions), Case Studies, Test Validity
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Pawl, Andrew; Teodorescu, Raluca E.; Peterson, Joseph D. – Physical Review Special Topics - Physics Education Research, 2013
We have developed simple data-mining algorithms to assess the consistency and the randomness of student responses to problems consisting of multiple true or false statements. In this paper we describe the algorithms and use them to analyze data from introductory physics courses. We investigate statements that emerge as outliers because the class…
Descriptors: Data Collection, Test Reliability, Physics, Introductory Courses
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Uzuner Yurt, Serap; Aktas, Elif – Educational Research and Reviews, 2016
In this study, the effects of the use of peer tutoring in Effective and Good Speech Course on students' success, perception of speech self-efficacy and speaking skills were examined. The study, designed as a mixed pattern in which quantitative and qualitative research approaches were combined, was carried out together with 57 students in 2014 to…
Descriptors: Peer Teaching, Tutoring, Higher Education, College Students
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Carroll, David – Journal of Institutional Research, 2011
Historically, responses to the Course Experience Questionnaire (CEQ) were required to be collected by self-administered paper or online questionnaire to be eligible for official analysis. CEQ responses collected by telephone were excluded from the final analysis file to minimise the potential for bias due to mode effects: systematic variation in…
Descriptors: Questionnaires, Regression (Statistics), Intermode Differences, Telephone Surveys
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers