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Audrey Ellis; Tracie Yorke; Charles Ansell – Complete College America, 2025
As artificial intelligence reshapes many aspects of society and workforce, many colleges and universities have focused on developing technical AI programs within computer science departments. But preparing students and faculty for an AI-enabled future requires more than technical training--it demands a broader approach to AI literacy and…
Descriptors: Artificial Intelligence, Higher Education, Computer Software, Technology Integration
Omar Ali Al-Smadi; Radzuwan Ab Rashid; Raed Awad Al-Ramahi; Marwan Harb Alqaryouti; Holmatov Shakhriyor Zokhidjon Ugli; Abdurakhmon Norinboev Vokhidovich – Research in Learning Technology, 2025
In the dynamic landscape of higher education, the integration of artificial intelligence (AI) into learning has emerged as a transformative force, ushering in tailored, adaptive, and immersive educational experiences for undergraduate university students. This study employed a thematic analysis to scrutinize focus group discussions with 25…
Descriptors: Foreign Countries, Metacognition, Second Language Learning, Second Language Instruction
Ainunazli Abdul Rahman; Noor Raha Mohd Radzuan; Ezihaslinda Ngah – International Journal of Research in Education and Science, 2025
This purposive sampling, quantitative study employed the Model of Student's Motivation framework to explore the impact of the TikTok application on enhancing students' speaking abilities. It involved four classes of mixed-ability one-year programme (PST) students, 2023/2024 Session at Pahang Matriculation College, Malaysia divided into two main…
Descriptors: Social Media, Teaching Methods, Student Motivation, Computer Software
Fazlyn Petersen – Perspectives in Education, 2025
In times of increasing civil unrest and displacement, ensuring the continuity of education necessitates innovative solutions. This article advocates for the use of data-free applications to prevent educational exclusion. It examines the challenges faced by displaced and marginalised students, including disrupted educational infrastructure, limited…
Descriptors: Computer Software, Access to Education, Social Justice, Disadvantaged
Tong Bao – Journal of Computer Assisted Learning, 2025
Background: Given the limited availability of effective tools for Korean language learning among students with autism spectrum disorder (ASD), there is a need to explore innovative educational technologies to support the development of reading skills in Korean language education for this population. Objectives: The purpose of this study is to…
Descriptors: Korean, Autism Spectrum Disorders, Scores, Reading Comprehension
Izzet Dos – European Educational Researcher, 2025
This systematic review synthesizes research published between January 2023 and March 2025 on the integration of ChatGPT in higher education. Following PRISMA guidelines, a total of 20 peer-reviewed empirical studies were selected from Web of Science and Scopus databases. These studies represent diverse global contexts and methodological…
Descriptors: Research Reports, Artificial Intelligence, Computer Software, Integrity
Sakorn Atthachakara – Journal of Education and Learning, 2025
The objectives of this research were to develop an innovative proactive competency-based learning model integrated with Cloud technology and to evaluate its effectiveness by comparing creativity and academic achievement before and after implementation, as well as measuring student satisfaction with the model. The sample consisted of 27 fourth-year…
Descriptors: Social Studies, College Faculty, Competency Based Education, Teacher Attitudes
Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
Baral, Sami; Botelho, Anthony; Santhanam, Abhishek; Gurung, Ashish; Cheng, Li; Heffernan, Neil – International Educational Data Mining Society, 2023
Teachers often rely on the use of a range of open-ended problems to assess students' understanding of mathematical concepts. Beyond traditional conceptions of student open-ended work, commonly in the form of textual short-answer or essay responses, the use of figures, tables, number lines, graphs, and pictographs are other examples of open-ended…
Descriptors: Mathematics Instruction, Mathematical Concepts, Problem Solving, Test Format
Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
Tsabari, Stav; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2023
Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…
Descriptors: College Students, Computer Science Education, Programming, Error Patterns
Hinduja, Sameer; Patchin, Justin W. – Corwin, 2023
As social media apps, gaming platforms, and other online environments have given present more opportunities to adolescents to cause harm to their peers, the proportion of youth who have experienced cyberbullying continues to rise. This bestselling guide from the co-directors of the Cyberbullying Research Center provides the tools you need today to…
Descriptors: Prevention, Computer Mediated Communication, Bullying, Social Media
Egbert, Jesse; Burch, Brent – Applied Linguistics, 2023
The words in a language or language variety are often rank ordered in lists that are meant to reflect the relative importance of those words to language users and learners of a language. This rank ordering is done on the basis of the relative prevalence of words in a corpus. Lexical prevalence is often operationalized as measures of frequency,…
Descriptors: Word Lists, Incidence, Computational Linguistics, Textbooks
Dillon, Thomas; Wells, Donald – English Teaching, 2023
This study examined effects of pronunciation training using automatic speech recognition technology on common pronunciation errors of Korean English learners. Participants were divided into two groups. One group was given instruction and training about the use of automatic speech recognition for pronunciation practice. The other group was not…
Descriptors: Pronunciation, English (Second Language), Second Language Instruction, English Language Learners
McCarron, Elizabeth; Frydenberg, Mark – Information Systems Education Journal, 2023
Students today are often assumed to be digitally literate and prepared for college, but that is not always the case. Introductory technology courses at the college level provide students with the technology and digital skills necessary for them to succeed in college. This study, conducted at a small New England "business school" that…
Descriptors: College Freshmen, Technological Literacy, Educational Technology, Business Schools

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