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Winne, Philip H.; Teng, Kenny; Chang, Daniel; Lin, Michael Pin-Chuan; Marzouk, Zahia; Nesbit, John C.; Patzak, Alexandra; Rakovic, Mladen; Samadi, Donya; Vytasek, Jovita – Journal of Learning Analytics, 2019
Data used in learning analytics rarely provide strong and clear signals about how learners process content. As a result, learning as a process is not clearly described for learners or for learning scientists. Gaševic, Dawson, and Siemens (2015) urged data be sought that more straightforwardly describe processes in terms of events within learning…
Descriptors: Learning Analytics, Learning Processes, Independent Study, Computer Software
Tushev, Miroslav; Williams, Grant; Mahmoud, Anas – Computer Science Education, 2020
Background and Context: GitHub has been recently used in Software Engineering (SE) classes to facilitate collaboration in student team projects as well as help teachers to evaluate the contributions of their students more objectively. Objective: We explore the benefits and drawbacks of using GitHub as a means for team collaboration and performance…
Descriptors: Computer Software, Engineering Education, Student Projects, Teamwork
Manna, Martina – International Journal of Mobile and Blended Learning, 2023
As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents as well as contextualized learning. However, the majority of teachers are unfamiliar with AR, and their role as designers and facilitators requires further investigation. Moreover,…
Descriptors: Italian, Second Language Learning, Second Language Instruction, Open Source Technology
Savonen, Candace; Wright, Carrie; Hoffman, Ava M.; Muschelli, John; Cox, Katherine; Tan, Frederick J.; Leek, Jeffrey T. – Journal of Statistics and Data Science Education, 2023
Data science and informatics tools are developing at a blistering rate, but their users often lack the educational background or resources to efficiently apply the methods to their research. Training resources and vignettes that accompany these tools often deprecate because their maintenance is not prioritized by funding, giving teams little time…
Descriptors: Open Source Technology, Multiple Choice Tests, Summative Evaluation, Formative Evaluation
Westgate, Martin J. – Research Synthesis Methods, 2019
The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Users (Information)
Topi, Heikki; Spurrier, Gary – Journal of Information Systems Education, 2019
Current academic and industry discussions regarding systems development project approaches increasingly focus on agile development and/or DevOps, as these approaches are seen as more modern, streamlined, flexible, and, therefore, effective as compared to traditional plan-driven approaches. This extends to the current pedagogy for teaching systems…
Descriptors: Information Systems, Teaching Methods, Computer Software, Information Science Education
Morgan Sleeper; Griselda Reyes Basurto – Language Documentation & Conservation, 2022
This study introduces a new methodology for integrating musical and linguistic data in language documentation, using ABC notation and open-source tools like ELAN and MuseScore. Designed for portability and exportability, and to facilitate both linguistic analysis and community-oriented material development, this methodology is used here to explore…
Descriptors: Music, Linguistics, Language Research, Language Maintenance
Lee, Ning Yuan; Tucker-Kellogg, Greg – Biochemistry and Molecular Biology Education, 2020
Understanding macromolecular structures is essential for biology education. Augmented reality (AR) applications have shown promise in science, technology, engineering, and mathematics (STEM) education, but are not widely used for protein visualization. While there are some tools for AR protein visualization, none of them are accessible to the…
Descriptors: Visualization, Molecular Structure, Computer Simulation, STEM Education
Norouzian, Reza; de Miranda, Michael; Plonsky, Luke – Language Learning, 2018
Frequentist methods have long dominated data analysis in quantitative second language (L2) research. Recently, however, several empirical fields have begun to embrace alternatives known as Bayesian methods. Using an open-source approach, we provide an applied, nontechnical rationale for Bayesian methods in L2 research. First, we compare the…
Descriptors: Second Language Learning, Language Research, Bayesian Statistics, Comparative Analysis
Zhongzhou Chen; Tom Zhang; Michelle Taub – Journal of Learning Analytics, 2024
The current study measures the extent to which students' self-regulated learning tactics and learning outcomes change as the result of a deliberate, data-driven improvement in the learning design of mastery-based online learning modules. In the original design, students were required to attempt the assessment once before being allowed to access…
Descriptors: Learning Analytics, Algorithms, Instructional Materials, Course Content
Westera, Wim; Prada, Rui; Mascarenhas, Samuel; Santos, Pedro A.; Dias, João; Guimarães, Manuel; Georgiadis, Konstantinos; Nyamsuren, Enkhbold; Bahreini, Kiavash; Yumak, Zerrin; Christyowidiasmoro, Chris; Dascalu, Mihai; Gutu-Robu, Gabriel; Ruseti, Stefan – Education and Information Technologies, 2020
This article provides a comprehensive overview of artificial intelligence (AI) for serious games. Reporting about the work of a European flagship project on serious game technologies, it presents a set of advanced game AI components that enable pedagogical affordances and that can be easily reused across a wide diversity of game engines and game…
Descriptors: Artificial Intelligence, Educational Games, Educational Technology, Computer Software
Bédi, Branislav; Bernharðsson, Haraldur; Chua, Cathy; Guðmarsdóttir, Birgitta Björg; Habibi, Hanieh; Rayner, Manny – Research-publishing.net, 2020
We describe how the open-source Learning and Reading Assistant (LARA) platform was used to convert a classic Old Norse text, the "Völuspá," into an interactive online form. The LARA version includes high-quality recorded audio, translations, notes on key words and phrases, an automatically generated concordance, and links to other online…
Descriptors: Open Source Technology, Indo European Languages, Audio Equipment, Translation
Payne, Bryson R. – Journal of Cybersecurity Education, Research and Practice, 2019
With the rapid adoption of internet-connected and driver-assist technologies, and the spread of semiautonomous to self-driving cars on roads worldwide, cybersecurity for smart cars is a timely concern and one worth exploring both in the classroom and in the real world. Highly publicized hacks against production cars, and a relatively small number…
Descriptors: Computer Security, Motor Vehicles, Information Security, Artificial Intelligence
Hancock, Gregory R.; An, Ji – Educational Measurement: Issues and Practice, 2018
In this ITEMS module, we frame the topic of scale reliability within a "confirmatory factor analysis" and "structural equation modeling" (SEM) context and address some of the limitations of Cronbach's a. This modeling approach has two major advantages: (1) it allows researchers to make explicit the relation between their items…
Descriptors: Reliability, Structural Equation Models, Factor Analysis, Correlation
Zorislav Šojat; Gordana Gredicak Šojat – International Society for Technology, Education, and Science, 2023
The sudden, unexpected breakthrough in the intelligence shown by machines, as a wished for, but very disruptive element, will shape the future of our civilisation and Humans as individuals and collectives. The extreme drive towards commercialisation of newest developments already led to an extremely wide spread of Machine Intelligence Assistants…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Morale