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Christina Elizabeth Pigg – ProQuest LLC, 2024
The purpose of this ex post facto quantitative study was to examine the correlation between the scores of preservice teachers on 240 Tutoring STR practice tests and their scores on the actual STR exam and to explore the extent to which test preparation programs predicted performance on certification exams. In addition, this study compared the…
Descriptors: Test Preparation, Preservice Teachers, Teacher Certification, Licensing Examinations (Professions)
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Musa Adekunle Ayanwale; Mdutshekelwa Ndlovu – Journal of Pedagogical Research, 2024
The COVID-19 pandemic has had a significant impact on high-stakes testing, including the national benchmark tests in South Africa. Current linear testing formats have been criticized for their limitations, leading to a shift towards Computerized Adaptive Testing [CAT]. Assessments with CAT are more precise and take less time. Evaluation of CAT…
Descriptors: Adaptive Testing, Benchmarking, National Competency Tests, Computer Assisted Testing
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Andrew Swindell; Luke Greeley; Antony Farag; Bailey Verdone – Online Learning, 2024
The arrival of generative artificial intelligence (AI) is fundamentally different from prior technologies used in educational settings. Educators and researchers of online, blended, and in-person learning are still coming to grips with how to employ current AI technologies in the learning experience, let alone understanding the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Guidelines
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Mufidah Firzanah Mihat – Journal of Science and Mathematics Education in Southeast Asia, 2024
The digital era's technological transformation has a wide range of beneficial effects on the science learning process. Game-based learning (GBL) is the use of game design ideas to learn about some topic while pupils are striving to do their best in the process. This study was carried out with the help of Educaplay apps ("Identify Me…
Descriptors: Science Education, Computer Software, Grade 4, Elementary School Students
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Abdullah Alamer; Florian Schuberth; Jörg Henseler – Studies in Second Language Acquisition, 2024
Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…
Descriptors: Factor Analysis, Factor Structure, Second Language Learning, Language Research
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Kerstin Wagner; Agathe Merceron; Petra Sauer; Niels Pinkwart – Journal of Educational Data Mining, 2024
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design, is based on the explainable k-nearest neighbor algorithm and recommends a…
Descriptors: At Risk Students, Algorithms, Foreign Countries, Course Selection (Students)
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Joseph M. Furner – Quarterly Review of Distance Education, 2024
Employing best practices for teaching mathematics like math manipulatives, children's literature picture books, and GeoGebra can all be connected and better help to prepare students for a STEM world to develop confident young individuals in doing mathematics in a world of AI, distance learning, and online with emerging technologies. This paper…
Descriptors: Mathematics Instruction, Manipulative Materials, Picture Books, Computer Software
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Kendra Allison; Robin M. Dawson; DeAnne K. Hilfinger Messias; Joan M. Culley; Nancy Brown – Journal of Early Adolescence, 2024
Early adolescent children communicate on smartphones and social media, resulting in online sexual risks and potential adverse health outcomes. This study investigated parents' awareness of early adolescent engagement in online sexual risks on smartphones and social media and the protective practices used to mitigate these risks. Semi-structured…
Descriptors: Sexuality, Risk, Health Behavior, Telecommunications
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Yogi Suprayogi; Senny Luckyardi; Dede Kurnia; Mirza Abdi Khairusy – International Journal of Language Education, 2024
The increase in borderless digital-based business competition shows how language education is impacted by neoliberalism in this global era. We explore how linguistic technopreneurship (LT) roles is increasingly constructed as a form of linguistic entrepreneurship to exploit language-related resources to enhance one's socioeconomic value…
Descriptors: Foreign Countries, Second Language Learning, Second Language Instruction, Entrepreneurship
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Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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Preeti Bhaskar; Pankaj Misra; Gaurav Chopra – International Journal of Information and Learning Technology, 2024
Purpose: The discussion about using Chat Generative Pre-Trained Transformer (ChatGPT) by teachers is making notable progress on a daily basis. This research examines the teachers' adoption intention to adopt ChatGPT by focusing on perceived trust and perceived risk. The study seeks to elucidate the impact of these two factors on teachers' adoption…
Descriptors: Trust (Psychology), Risk, Artificial Intelligence, Synchronous Communication
Kimberly Ann Dalius – ProQuest LLC, 2024
This study explored how developing digital literacy skills could influence digital self-efficacy, cognitive load, mindfulness, and productivity among Generation Z college students in Karachi, Pakistan, using the Pauseitive app. With digital tools playing an ever-growing role in education, understanding their impact on students' mental processes…
Descriptors: Foreign Countries, College Students, Technology Uses in Education, Educational Technology
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Atef Odeh AbuSa’aleek; Aied Alenizi – Teaching English with Technology, 2024
To better understand the use of ChatGPT as a tool for learning in higher education, this investigation reports student responses to an e-questionnaire investigating their perspectives on it. In particular, it delves into whether there are any significant differences between opinions based on gender and the level of study of 51 postgraduate…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Synchronous Communication
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Khaled ElEbyary; Ramy Shabara – Teaching English with Technology, 2024
Although some published studies have challenged the importance and efficacy of written corrective feedback (WCF), ESL/EFL tutors continue to value its practice and provide WCF to their students in spite of their time and workload constraints. The development of various automated-feedback applications over the last few years contributed to our…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Feedback (Response)
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Sina Wardani Siregar; Dadang Sunendar; Nouval Nanola; Burhanudin – Elementary School Forum (Mimbar Sekolah Dasar), 2024
The ability to convey messages through sounds is known as language skills, with listening skills being one of its most essential components. Listening skills are developed by children before they can speak, read, and write. However, these skills are often neglected, which affects other language skills. To improve students' listening skills, it's…
Descriptors: Educational Technology, Technology Uses in Education, Elementary School Students, Listening Skills
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