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Yuan Chih Fu; Jin Hua Chen; Kai Chieh Cheng; Xuan Fen Yuan – Higher Education: The International Journal of Higher Education Research, 2024
Using data from approximately 342,000 course-taking records collected from 4406 college students enrolled at Taipei Tech during the 2009-2012 academic years, we examine the impact of multidisciplinarity on students' academic performance. Our study contributes to the literature in three ways. First, by applying natural language processing (NLP), we…
Descriptors: College Students, Interdisciplinary Approach, Academic Achievement, Natural Language Processing
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Tianlong Zhong; Gaoxia Zhu; Chenyu Hou; Yuhan Wang; Xiuyi Fan – Education and Information Technologies, 2024
The significance of interdisciplinary learning has been well-recognized by higher education institutions. However, when teaching interdisciplinary learning to junior undergraduate students, their limited disciplinary knowledge and underrepresentation of students from some disciplines can hinder their learning performance. ChatGPT's ability to…
Descriptors: Influences, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Dianova, Vera G.; Schultz, Mario D. – Industry and Higher Education, 2023
This comment builds on the example of chat generative pretrained transformer (ChatGPT) to discuss the implications of generative AI on industry and higher education, underlining the need for more transdisciplinary digital literacy education. The release of ChatGPT has generated significant academic and professional interest and instigated a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Industry
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Baskara, Risang; Mukarto – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
Recent developments in natural language processing have led to the creation of large language models, such as ChatGPT, which could generate human-like text. In this paper, we explore the potential implications of ChatGPT for language learning in higher education. We first provide an overview of ChatGPT and discuss its capabilities and limitations.…
Descriptors: Artificial Intelligence, Second Language Learning, Second Language Instruction, Teaching Methods
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West, Jason – Curriculum Journal, 2017
Interdisciplinarity requires the collaboration of two or more disciplines to combine their expertise to jointly develop and deliver learning and teaching outcomes appropriate for a subject area. Curricula and assessment mapping are critical components to foster and enhance interdisciplinary learning environments. Emerging careers in data science…
Descriptors: Curriculum Development, Validity, Data Analysis, Interdisciplinary Approach
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers