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Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
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Neal, Jennifer Watling; Neal, Zachary P. – School Psychology, 2022
Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…
Descriptors: Data Collection, Visualization, Models, Social Networks
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Solís-Cordero, Katherine; Lerner, Rogério; Marinho, Patricia; Camargo, Patricia; Takey, Silvia; Fujimori, Elizabeth – International Journal of Social Research Methodology, 2022
The current situation due to the COVID-19 pandemic has had huge consequences in all aspects of our lives, including the development of research activities. Studies involving face-to-face interaction with people, such as randomized controlled trials, were the first affected. The objective of this article is to present the insights on challenges…
Descriptors: COVID-19, Pandemics, Randomized Controlled Trials, Barriers
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Hilliker, Angela K.; Grayson, Kristine L. – Biochemistry and Molecular Biology Education, 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection
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Guo, Hongwen – Educational Measurement: Issues and Practice, 2022
Many educational summative and formative assessments have been transferred to a remote online setting because of the pandemic. Educational professionals and stakeholders have shown interest in learning how this change in the test mode influenced test takers; that is, whether test-taking experiences in a remote test setting were different from…
Descriptors: Distance Education, Educational Assessment, Student Evaluation, Summative Evaluation
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Goldstein, Mike – Education Next, 2022
Bridge International Academies, the largest network of elementary schools in the developing world operates both low-cost private schools, and public-private partnership schools. More than 800,000 students are enrolled in 2,026 schools in five countries. Bridge tries lots of different ideas and initiatives, many of which are backed up by research…
Descriptors: Foreign Countries, Developing Nations, Private Schools, Public Schools
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Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
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McInroy, Lauren B.; Beer, Oliver W. J. – International Journal of Social Research Methodology, 2022
Consisting of brief and evocative scenarios, vignettes effectively elicit stimulus responses, examine individual cognitions, and explore novel or sensitive topics. While information and communication technologies have expanded research methods, methodological and ethical considerations for design and implementation of digital vignettes necessitate…
Descriptors: Vignettes, Internet, Online Surveys, Data Collection
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Mark F. Vitha – Journal of Chemical Education, 2022
This Article comes from a series of 2 h instrumental analysis laboratory experiments developed in response to social distancing requirements established because of the coronavirus pandemic (COVID). The experiments provided rich data-analysis opportunities that taught students the chemical principles that underpin instrumental techniques, yet made…
Descriptors: Chemistry, Science Education, Laboratory Experiments, Data Collection
Mackenzie K. Martin; Patricia A. Snyder; Brian Reichow; Crystal D. Bishop – Journal of Early Intervention, 2022
The purpose of this study was to examine the comparability of counts of embedded instruction learning trials when different methods of viewing and recording direct behavioral observations were used. In 13 classrooms, while videotaping embedded instruction implementation for a larger randomized controlled efficacy trial was occurring, teachers'…
Descriptors: Video Technology, Observation, Coding, Data Collection
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Obaid, Teeba; Nesbit, John C.; Mahmoody Ghaidary, Ahmad; Jain, Misha; Hajian, Shiva – Instructional Science: An International Journal of the Learning Sciences, 2023
Understanding scientific phenomena requires learners to construct mental models of causal systems. Simulation-based discovery learning offers learners the opportunity to construct mental models and test them against the behavior of a simulation. The purpose of this study was to investigate sequential patterns of learner actions and utterances…
Descriptors: Inferences, Simulation, Discovery Learning, Science Education
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Mohamed, Mohamed Hegazy; Abdelgaber, Sayed; Abd-Ellatif, Laila – Journal of Education and e-Learning Research, 2023
Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…
Descriptors: Educational Practices, Program Evaluation, Opinions, Data Collection
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Casagrande, Marco; Conti, Mauro; Fedeli, Monica; Losiouk, Eleonora – Journal of Cybersecurity Education, Research and Practice, 2023
Phishing is a common social engineering attack aimed to steal personal information. Universities attract phishing attacks because: (1) they store employees and students sensitive data; (2) they save confidential documents; and (3) their infrastructures often lack security. In this paper, we showcase a phishing assessment at the University of…
Descriptors: Fraternities, Computer Security, Information Security, Higher Education
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Talan, Tarik; Demirbilek, Muhammet – Informatics in Education, 2023
The purpose of this study is to reveal the status of scientific publications on learning analytics from the past to the present in terms of bibliometric indicators. A total of 659 publications on the subject between the years 2011-2021 were found in the search using keywords after various screening processes. Publications were revealed through…
Descriptors: Bibliometrics, Learning Analytics, Publications, Web Sites
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Galles, Elyse; Gannon, Jamie; Noniyeva, Yuliana; Schweikert, James; Downs, Nancy – Journal of American College Health, 2023
Objective: College students who receive an acute care visit (ACV) from an emergency or inpatient unit require mental health follow-up (MHF) to improve long-term outcomes. This study describes tracking ACVs and MHF, while identifying characteristics of multiple vs. single ACVs. Participants: 191 students who received an ACV (N = 231) at one public…
Descriptors: College Students, Mental Health, Hospitals, Access to Health Care
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