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Albert, Jim; Hu, Jingchen – Journal of Statistics Education, 2020
Bayesian statistics has gained great momentum since the computational developments of the 1990s. Gradually, advances in Bayesian methodology and software have made Bayesian techniques much more accessible to applied statisticians and, in turn, have potentially transformed Bayesian education at the undergraduate level. This article provides an…
Descriptors: Bayesian Statistics, Computation, Statistics Education, Undergraduate Students
Gunderson, Julie E. C.; Mitchell, Dylan W.; Bullis, Ryan G.; Steward, John Q.; Gunderson, William A. – Journal of Chemical Education, 2020
Fused filament fabrication 3D printing is a process by which three-dimensional objects are created by depositing layers of a material onto a hard, flat surface by a robot. It is often referred to as an "additive manufacturing" technique because material is added in successive layers to create an object. Because many scientific…
Descriptors: Chemistry, Science Instruction, Computer Software, Computer Peripherals
Jia, Weichen; Peng, Jun; Cai, Na – Knowledge Management & E-Learning, 2020
Citespace, a visualization-based analysis tool, has been used to analyze the literature data by visualizing the patterns and potential trends of a field. Previous studies show that when used for analyzing the literature in Chinese, Citespace could only conduct very basic analysis, different from its use in analyzing the literature data in English.…
Descriptors: Visualization, Data Analysis, Trend Analysis, Chinese
Lavicza, Zsolt; Prodromou, Theodosia; Fenyvesi, Kristof; Hohenwarter, Markus; Juhos, Istvan; Koren, Balazs; Diego-Mantecon, Jose Manuel – International Journal for Technology in Mathematics Education, 2020
This paper outlines the growing phenomenon and need to integrate technologies into mathematics and science teaching and learning. There are a number of successful projects for valuable integration of technologies around the world, however, these successes are often limited reaching a relatively small number of teachers and students. In this paper,…
Descriptors: Technology Integration, Mathematics Education, Science Education, STEM Education
Xiong-Skiba, P.; Buckner, S.; Little, C.; Kovalskiy, A. – Physics Teacher, 2020
This paper reports our work on replacing lab report grading by post-online lab quizzes using Desire2Learn (D2L, an online course management software), specifically, how we circumvent some of the limitations imposed by D2L and the outcomes.
Descriptors: Grading, Physics, Science Tests, Computer Assisted Testing
Rubleske, Joseph; Fletcher, Travis; Westerfeld, Brett – Journal of Instructional Pedagogies, 2020
Electronic sports (e-sports) can be defined as digital games played competitively for an audience (Hodge et al., 2017). With a global consumer base of roughly 450 million people and projected 2019 revenues of US$1.1 billion, the e-sports industry continues to grow (Pannekeet, 2019). Behind this growth is a thriving ecosystem which includes…
Descriptors: Computer Games, Athletics, Data Collection, Data Analysis
Rao, Dhawaleswar; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2020
Automatic multiple choice question (MCQ) generation from a text is a popular research area. MCQs are widely accepted for large-scale assessment in various domains and applications. However, manual generation of MCQs is expensive and time-consuming. Therefore, researchers have been attracted toward automatic MCQ generation since the late 90's.…
Descriptors: Multiple Choice Tests, Test Construction, Automation, Computer Software
Levy, Roy – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their…
Descriptors: Bayesian Statistics, Psychometrics, Item Response Theory, Statistical Inference
Kumar, Bimal Aklesh; Sharma, Bibhya – Education and Information Technologies, 2020
Context Aware Mobile Learning Applications (CAMLA) are an emerging field of research, they provide educational resources tailored to educational needs and particular circumstances of the learner. Despite the increase in the number of applications being developed, there is a lack of study that provides comprehensive knowledge on the development of…
Descriptors: Telecommunications, Handheld Devices, Computer Software, Technology Uses in Education
Finestack, Lizbeth H.; Rohwer, Bobbi; Hilliard, Lisa; Abbeduto, Leonard – Language, Speech, and Hearing Services in Schools, 2020
Purpose: Conducting in-depth grammatical analyses based on language samples can be time consuming. Developmental Sentence Scoring (DSS) and the Index of Productive Syntax (IPSyn) analyses provide detailed information regarding the grammatical profiles of children and can be conducted using free computer-based software. Here, we provide a tutorial…
Descriptors: Grammar, Down Syndrome, Computational Linguistics, Scoring
Gregory J. Heathco – Communication Teacher, 2025
University classrooms are increasingly populated by students with diverse nationalities and native languages (L1). The growing number of students in English-led classrooms who speak English as a second or lower language (L2) may face added difficulties in understanding the specific task objectives or directions, as explained by native-…
Descriptors: English (Second Language), Second Language Learning, Comparative Analysis, Language Processing
Nailatul Amani; Maslihatul Bisriyah – Indonesian Journal of English Language Teaching and Applied Linguistics, 2025
Artificial intelligence (AI) is transforming education by offering personalized learning tools, yet its role in fostering self-regulated learning (SRL) strategies among English as a Foreign Language (EFL) students remains underexplored. This study investigates EFL students' perceptions of AI applications in supporting their self-regulated writing…
Descriptors: Metacognition, Writing Instruction, Grammar, Artificial Intelligence
David B. Nelson; Anaelle Emma Gackiere; Samantha Elizabeth LeGrand; Daniel A. Guberman – Thresholds in Education, 2025
In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…
Descriptors: Teaching Methods, Learning Processes, Algorithms, Artificial Intelligence
Keng-Chih Hsu; Neil E. Barrett; Gi-Zen Liu – Computer Assisted Language Learning, 2025
With the rise of augmented reality (AR) and context-aware ubiquitous learning (CAUL), pedagogical designers in computer assisted language learning are increasingly developing authentic English for Specific Purposes (ESP) learning environments. However, there has been little research regarding the development of evidence-based principles for…
Descriptors: Tourism, English for Special Purposes, Second Language Instruction, Second Language Learning
Vesa Mollakuqe; Elissa Mollakuqe – International Electronic Journal of Mathematics Education, 2025
This study examines the impact of integrating GeoGebra software into teaching circle properties at the high school level, comparing it with traditional methods. Conducted over 8 weeks with 112 students aged 15-18, it included an experimental group using GeoGebra (56 students) and a control group with classical teaching methods (56 students). The…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Computer Assisted Instruction