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Andrew M. Phelps; Christopher A. Egert; Mia Consalvo – International Journal of Designs for Learning, 2021
This article describes the educational, operational, and practical implementation of an upper-division undergraduate studio-style course centered on the subject of game production. Specifically, the article addresses the course organization and processes, the institutional context for the course (i.e., its situated role in the larger curriculum),…
Descriptors: Undergraduate Students, Video Games, Educational Games, Computer Software
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Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
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Marcoulides, Katerina M.; Raykov, Tenko – Educational and Psychological Measurement, 2019
A procedure that can be used to evaluate the variance inflation factors and tolerance indices in linear regression models is discussed. The method permits both point and interval estimation of these factors and indices associated with explanatory variables considered for inclusion in a regression model. The approach makes use of popular latent…
Descriptors: Regression (Statistics), Statistical Analysis, Computation, Computer Software
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Danielle A. Guarracino; Joseph L. Baker; J. Lynn Gazley – Journal of College Science Teaching, 2025
Having a deeper understanding of molecules in their structural forms allows students to grasp biochemical and general chemical concepts in a more profound manner. Through the use of visualization software, we have shown that students gain confidence and insight into the chemical workings of molecular structure and can then utilize this knowledge…
Descriptors: Science Education, Undergraduate Students, Biochemistry, Molecular Structure
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Dazhen Tong; Bangjian Jin; Yang Tao; Hongmei Ren; A. Y. M. Atiquil Islam; Lei Bao – Physical Review Physics Education Research, 2025
Recent research in science education has largely focused on using ChatGPT to solve problems and evaluating its accuracy and problem-solving features. However, as artificial intelligence (AI) is becoming an important tool for human development, effective strategies for learning and education using human-AI collaboration (HAI) learning remain…
Descriptors: Artificial Intelligence, Problem Solving, Computer Software, Technology Integration
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Roger Young; Emily Courtney; Alexander Kah; Mariah Wilkerson; Yi-Hsin Chen – Teaching of Psychology, 2025
Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…
Descriptors: Item Response Theory, Multiple Choice Tests, Psychology, Textbooks
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Fatih Yavuz; Özgür Çelik; Gamze Yavas Çelik – British Journal of Educational Technology, 2025
This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computational Linguistics
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Andrew Potter; Mitchell Shortt; Maria Goldshtein; Rod D. Roscoe – Grantee Submission, 2025
Broadly defined, academic language (AL) is a set of lexical-grammatical norms and registers commonly used in educational and academic discourse. Mastery of academic language in writing is an important aspect of writing instruction and assessment. The purpose of this study was to use Natural Language Processing (NLP) tools to examine the extent to…
Descriptors: Academic Language, Natural Language Processing, Grammar, Vocabulary Skills
Sena Sayici; Selami Aydin – Online Submission, 2025
Learners' achievements, motivation, and emotional states are closely linked to the roles and effectiveness of their teachers, while several challenges in foreign language classrooms hinder teacher efficacy. Artificial intelligence (AI) has the potential to offer substantial solutions by addressing individual student needs, expectations, and…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
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Xiaochen Wang; Yang Gao; Qikai Wang; Panpan Zhang – European Journal of Education, 2025
The rise of artificial intelligence (AI) has significantly impacted education, yet few scholars have explored AI-assisted classrooms, particularly in language education in China. Understanding the roles of classroom climate, AI literacy, and resilience is essential, as these factors foster positive learning environments and enhance student…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Artificial Intelligence
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Michael Pin-Chuan Lin; Daniel H. Chang; Philip H. Winne – Educational Technology Research and Development, 2025
A chatbot is artificial intelligence software that converses with a user in natural language. It can be instrumental in mitigating teaching workloads by coaching or answering student inquiries. To understand student-chatbot interactions, this study is engineered to optimize student learning experience and instructional design. In this study, we…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
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Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
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Japjee Kaur Kohli – Higher Education for the Future, 2025
In the twenty-first century, artificial intelligence (AI) will change the way organizations conduct their daily operations. In addition, cutting-edge digital technologies like AI, Internet of things, augmented reality/virtual reality, cloud computing, robotics and big data will have a significant impact on the nature of future jobs. This…
Descriptors: Artificial Intelligence, Computer Software, Internet, Clothing
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Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)
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Xiaohua Liu – International Journal of Technology in Education, 2025
Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…
Descriptors: Teacher Attitudes, Technological Literacy, Pedagogical Content Knowledge, Computer Software
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