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Zhou, Hao; Ma, Xin – Sociological Methods & Research, 2023
Hierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe…
Descriptors: Simulation, Hierarchical Linear Modeling, Socioeconomic Status, Institutional Characteristics
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Maurizio Costabile; Jasmina Turkanovic – Journal of Biological Education, 2024
The method for producing monoclonal antibodies (MAbs) was first published in 1975. MAbs have revolutionised research, diagnosis, and disease treatment approaches. While students need a good understanding of MAb production, teaching the key steps via traditional methods can be challenging. Numerous resources exist, but these focus on hybridoma…
Descriptors: Biology, Science Instruction, Undergraduate Students, Diseases
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Owiredu, Joshua Kwabena; Asamoah, Evans; Ankomah, Richard; Aduamah, Diana Amoabea – Science Education International, 2023
Achieving deeper and permanent learning has always been the focus of teaching force. This purpose is independent of the teaching level or subject matter. Pre-service teachers' lack of interest and inability to connect learning levels are partly cited for their inability to develop this deeper and permanent learning of science concepts. In this…
Descriptors: Simulation, Role Playing, Preservice Teachers, Teacher Education Programs
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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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Byukusenge, Céline; Nsanganwimana, Florien; Tarmo, Albert Paulo – Journal of Science Education and Technology, 2023
Some science subjects are often perceived to be difficult and boring by students due to their nature and the way they are taught. This study sought to check the effectiveness of the technology-enhanced instruction method with comprehensive use of virtual labs and animations in teaching nerve cells' (neurons and glial cells) structures and…
Descriptors: Foreign Countries, Secondary School Students, Knowledge Level, Scientific Literacy
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Daniel Elford; Garth A. Jones; Simon J. Lancaster – Chemistry Education Research and Practice, 2024
Peer Instruction (PI), a student-centred teaching method, engages students during class through structured, frequent questioning, facilitated by classroom response systems. The central feature of PI is the ConcepTest, a question designed to help resolve student misconceptions around the subject content. Within our coordination chemistry PI…
Descriptors: Chemistry, Science Instruction, Teaching Methods, Computer Simulation
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Papadimitropoulos, N.; Dalacosta, K.; Pavlatou, E. A. – Journal of Science Education and Technology, 2021
A study with K-9 Greek students was conducted in order to evaluate how the declarative knowledge acquisition was affected by incorporating Arduino experiments in secondary Chemistry Education. A Digital Application (DA) that blends the use of the Arduino sensors' experiments with digital educational material, including Virtual Labs (VLs), was…
Descriptors: Science Instruction, Teaching Methods, Science Experiments, Laboratory Experiments
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Chengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
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Chekour, Mohammed; Seghroucheni, Yassine Zaoui; Tadlaoui, Mouenis Anouar; Hafid, Moulay Mustapha – Journal of Turkish Science Education, 2022
Teaching physical science has been challenging for educators for quite some time, and with the COVID-19 pandemic, the situation has even worsened which made the adoption of blended learning in the different cycles of education only a matter of time. This paradigm requires nevertheless a certain command when it comes to using some specific tools…
Descriptors: Blended Learning, Teaching Methods, Electronic Equipment, Concept Formation
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Cano, Junar S.; Olvis, Paul R.; Disca, Berlita Y.; Docena, Aida F. – International Journal of Technology in Education, 2022
The essence of Genetics lies in the understanding of the concepts of Central Dogma of Molecular Biology. Although these ideas are fundamental to the field, they are notoriously difficult to understand and visualize. While simulation-based instructional materials are found to improve the teaching-learning process in science education, little has…
Descriptors: Molecular Biology, Science Instruction, Scientific Concepts, Genetics
Croce, Keri-Anne; Firestone, Jonah – IAP - Information Age Publishing, Inc., 2020
The development of science literacy has the potential to have an enormous impact on real world outcomes. Specifically, developing science literacy may persuade individuals to act. We hope that this book will influence scientists, science journalists, sociologists, anthropologists, communication specialists, political leaders, media outlets,…
Descriptors: Scientific Literacy, 21st Century Skills, Scientific Research, Inquiry
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Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
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Costabile, Maurizio – Advances in Physiology Education, 2021
Hemolytic disease of the newborn (HDN) is a potentially fatal condition caused by a Rhesus (Rh) antigen incompatibility between a mother and fetus. As a result, determining the Rh status of expectant parents is a routine clinical assessment. Both the physiological and immunological basis of this condition are taught to undergraduate students. At…
Descriptors: Diseases, Undergraduate Students, Physiology, Teaching Methods
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Artun, Huseyin; Durukan, Alper; Temur, Atilla – Education and Information Technologies, 2020
Innovative instructional technologies, especially virtual reality devices, are becoming more prominent and feasible in science education. Concerning science laboratories, activities enriched with virtual reality technology have the potential to make unobservable phenomena accessible in any school. This virtual reality technology has the potential…
Descriptors: Computer Simulation, Science Laboratories, Science Activities, Preservice Teachers
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Monroe, Scott – Journal of Educational and Behavioral Statistics, 2021
This research proposes a new statistic for testing latent variable distribution fit for unidimensional item response theory (IRT) models. If the typical assumption of normality is violated, then item parameter estimates will be biased, and dependent quantities such as IRT score estimates will be adversely affected. The proposed statistic compares…
Descriptors: Item Response Theory, Simulation, Scores, Comparative Analysis
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