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Harshitha, Ravikumar; Arunraj, Duraipandian Rex – Biochemistry and Molecular Biology Education, 2021
Real-time quantitative PCR is a technique used to monitor the PCR reaction in real time. RT-qPCR is broadly classified into two types based on its purpose: absolute and relative quantification. Absolute quantification is used in a wide array of fields such as microbiology, food technology, and biotechnology to quantify the microbiological…
Descriptors: Laboratory Procedures, Laboratory Experiments, College Science, Molecular Biology
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Baker, Michael J.; Schwarz, Baruch B.; Ludvigsen, Sten R. – International Journal of Computer-Supported Collaborative Learning, 2021
We present a critical perspective on the current state of research on educational dialogues, within and without Computer-Supported Collaborative Learning environments, in order to propose research perspectives in the intersection of these two domains. Our main proposal is that in order to integrate different types of human or machine analyzed data…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Data Analysis, Man Machine Systems
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Sinharay, Sandip – Educational Measurement: Issues and Practice, 2021
Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data…
Descriptors: Data Analysis, Scores, Educational Assessment, Educational Testing
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Peng, Chao-Ying Joanne; Chen, Li-Ting – Education Sciences, 2021
Due to repeated observations of an outcome behavior in N-of-1 or single-case design (SCD) intervention studies, the occurrence of missing scores is inevitable in such studies. Approximately 21% of SCD articles published in five reputable journals between 2015 and 2019 exhibited evidence of missing scores. Missing rates varied by designs, with the…
Descriptors: Intervention, Program Evaluation, Scores, Incidence
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Lewis, Norman P. – Journalism and Mass Communication Educator, 2021
A thematic evaluation of data journalism courses resulted in a typology that parses the field and offers guidance to educators. At the center is pattern detection, preceded by data acquisition and cleaning, and followed by data representation. The typology advances academic understanding by offering a precise conceptualization that distinguishes…
Descriptors: Data Analysis, Journalism Education, Classification, Audiences
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Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Leipzig, Jeremy – ProQuest LLC, 2021
Purpose: The purpose of this dissertation is to investigate the feasibility of using tests of robustness in peer review. This study involved selecting three high-impact papers which featured open data and utilized bioinformatic analyses but provided no source code and refactoring these to allow external survey participants to swap tools,…
Descriptors: Robustness (Statistics), Peer Evaluation, Data Analysis, Computer Software
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David P. Reid; Timothy D. Drysdale – IEEE Transactions on Learning Technologies, 2024
The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment…
Descriptors: Learning Analytics, Laboratory Experiments, Electronic Learning, Feedback (Response)
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Kyle T. Turner; George Engelhard Jr. – Journal of Experimental Education, 2024
The purpose of this study is to demonstrate clustering methods within a functional data analysis (FDA) framework for identifying subgroups of individuals that may be exhibiting categories of misfit. Person response functions (PRFs) estimated within a FDA framework (FDA-PRFs) provide graphical displays that can aid in the identification of persons…
Descriptors: Data Analysis, Multivariate Analysis, Individual Characteristics, Behavior
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Lisa Haake; Sebastian Wallot; Monika Tschense; Joachim Grabowski – Reading and Writing: An Interdisciplinary Journal, 2024
Recurrence quantification analysis (RQA) is a time-series analysis method that uses autocorrelation properties of typing data to detect regularities within the writing process. The following paper first gives a detailed introduction to RQA and its application to time series data. We then apply RQA to keystroke logging data of first and foreign…
Descriptors: Writing (Composition), Keyboarding (Data Entry), Word Processing, Writing Processes
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Anais Roque; Amber Wutich; Alexandra Brewis; Melissa Beresford; Laura Landes; Olga Morales-Pate; Ramon Lucero; Wendy Jepson; Yushiou Tsai; Michael Hanemann – Field Methods, 2024
Community-based participant-observation purposefully combines participant-observation and community-based participatory research. While participant-observation is the core method of ethnography and foundational to cultural anthropology, community-based participatory research initially emerged from health and related applied sciences to align…
Descriptors: Participant Observation, Participatory Research, Ethnography, Communities of Practice
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Genady Kogan; Hadas Chassidim; Irina Rabaev – Educational Technology Research and Development, 2024
The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…
Descriptors: Animation, Teaching Methods, Instructional Effectiveness, Learning Experience
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Sara Gable; Afiah Mohd Fozi – Early Childhood Education Journal, 2024
State Early Learning Standards (ELS) are multi-function tools that inform early childhood instruction and practices. Using an established framework of early numerical development, this study assessed the prevalence of number, number relations, and number operations indicators in ELS, specifically indicators of counting, numeral knowledge,…
Descriptors: State Standards, Early Childhood Education, Arithmetic, Number Concepts
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Yanhui Wang – International Journal of Web-Based Learning and Teaching Technologies, 2024
In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and…
Descriptors: Algorithms, College Students, English (Second Language), Reading Ability
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Deyner Bolaño; Darwin Peña-González; Roberto Torres – Mathematics Teaching Research Journal, 2024
The purpose of this study was to analyze the activities in the Problem-Based Learning (PBL) methodology among high school students when solving problems related to the field of plane figures, both in extra-mathematical and intra-mathematical environments. The research was qualitative and constituted a case study. The technique used to select the…
Descriptors: Learning Activities, Problem Based Learning, Grade 6, Grade 7
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