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Xi Lin; Ken Luterbach; Kristen H. Gregory; Sarah E. Sconyers – Online Learning, 2024
This study explored the impact of integrating ChatGPT into asynchronous online discussions. The analysis encompassed students' log data from Canvas and their perspectives on using ChatGPT. Results revealed a significant enhancement in overall discussion participation when ChatGPT is encouraged, emphasizing its potential as a catalyst for…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Computer Mediated Communication
Johann Engelbrecht; Marcelo C. Borba – ZDM: Mathematics Education, 2024
In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of…
Descriptors: STEM Education, Art Education, COVID-19, Pandemics
Mei-Rong Alice Chen – Language Learning & Technology, 2024
This study explores the impact of an innovative approach that combines artificial intelligence (AI) chatbot support with collaborative note-taking (CNT) in the comprehension of semantic terms among English as a Foreign Language (EFL) learners. Given the significance of semantics in English language learning, traditional didactic methods often…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Semantics
Matthew Finster; Lauren Decker-Woodrow; Barbara Booker; Craig A. Mason; Shihfen Tu; Ji-Eun Lee – Journal of Research on Educational Effectiveness, 2024
COVID-19 contributed to the largest student performance decline in mathematics since 1990. The nation needs cost-effective mathematic interventions to address this drop and improve students' mathematics performance. This study presents a cost-effectiveness analysis (CEA) of three algebraic technological applications, across four conditions: From…
Descriptors: Cost Effectiveness, Mathematics Achievement, Efficiency, COVID-19
John Mark R. Asio – Malaysian Online Journal of Educational Sciences, 2024
Understanding and securely using AI systems and tools requires AI literacy. In contrast, AI self-efficacy is a person's confidence in completing an AI task. Also, AI self-competence is the ability to explain how AI technologies are used at work and how they affect society. This study examines college students' AI literacy, self-efficacy, and…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Self Esteem
Drew Nucci; Alex Liu; Min Sun; Lorraine M. Males – Grantee Submission, 2024
This article examines the professional knowledge required for mathematics teachers to effectively use generative artificial intelligence (GenAI) in planning high-quality, ambitious mathematics lessons. While GenAI tools like ChatGPT offer promise for automating parts of lesson planning, their utility in supporting ambitious instruction is limited…
Descriptors: Lesson Plans, Artificial Intelligence, Computer Software, Technology Integration
Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…
Descriptors: Social Emotional Learning, Mathematics Instruction, Teacher Attitudes, Comparative Analysis
Choi, Jinnie – Journal of Educational and Behavioral Statistics, 2017
This article reviews PROC IRT, which was added to Statistical Analysis Software in 2014. We provide an introductory overview of a free version of SAS, describe what PROC IRT offers for item response theory (IRT) analysis and how one can use PROC IRT, and discuss how other SAS macros and procedures may compensate the IRT functionalities of PROC IRT.
Descriptors: Item Response Theory, Computer Software, Statistical Analysis, Computation
Gopal, Nikhil – ProQuest LLC, 2017
Biomedical research increasingly relies on the analysis and visualization of a wide range of collected data. However, for certain research questions, such as those investigating the interconnectedness of biological elements, the sheer quantity and variety of data results in rather uninterpretable--this is especially true for network visualization,…
Descriptors: Biomedicine, Computer Software, Models, Visual Stimuli
Hart, Michael – ProQuest LLC, 2017
Information Technology (IT) departments that include development and operations are essential to develop software that meet customer needs. DevOps is a term originally constructed from software development and IT operations. DevOps includes the collaboration of all stakeholders such as software engineers and systems administrators involved in the…
Descriptors: Information Technology, Computer Software, Statistical Analysis, Models
Park, Yeonggwang; Cádiz, Manuel Díaz; Nagle, Kathleen F.; Stepp, Cara E. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Assessment of strained voice quality is difficult due to the weak reliability of auditory-perceptual evaluation and lack of strong acoustic correlates. This study evaluated the contributions of relative fundamental frequency (RFF) and mid-to-high frequency noise to the perception of strain. Method: Stimuli were created using recordings of…
Descriptors: Acoustics, Audio Equipment, Auditory Perception, Correlation
Colestock, Ed – College and University, 2020
Emerging regulations require higher education financial aid staff to handle many tasks. Complying with these regulations and participating in mandated compliance audits are complex processes that require numerous departments to work in concert. This article discusses what steps colleges and universities can take to improve their compliance audits.…
Descriptors: Student Financial Aid, Audits (Verification), Higher Education, Program Evaluation
Lupker, Stephen J.; Spinelli, Giacomo; Davis, Colin J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
A word's exterior letters, particularly its initial letter, appear to have a special status when reading. Therefore, most orthographic coding models incorporate assumptions giving initial letters and, in some cases, final letters, enhanced importance during the orthographic coding process. In the present article, 3 masked priming experiments were…
Descriptors: Alphabets, Reading Processes, Priming, Decision Making
Ruiz, Jenny; Serral Asensio, Estefania; Snoeck, Monique – IEEE Transactions on Learning Technologies, 2020
The user interface (UI) is a key component of an interactive software application; therefore, it is important to provide software developers with basic UI design skills. However, teaching UI design is challenging, even at a basic level, and there is little teaching support. In this article, we investigate the benefits of the feedback-enriched…
Descriptors: Computer Interfaces, Computer System Design, Computer Software, Feedback (Response)
Ramawela, Sikedi; Chukwuere, Joshua Ebere – Knowledge Management & E-Learning, 2020
The growth of technology has impacted billions of lives by allowing people to connect with others through social media platforms such as Facebook, Twitter, Skype, WhatsApp, and so on. Despite the advantages of technology, there has been notable resistance from employees, especially the older generations, who are not eager to adopt social media…
Descriptors: Social Media, Cultural Influences, Employee Attitudes, Social Networks

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