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Capability Assessment of Cultivating Innovative Talents for Higher Schools Based on Machine Learning
Rongjie Huang; Yusheng Sun; Zhifeng Zhang; Bo Wang; Junxia Ma; Yangyang Chu – International Journal of Information and Communication Technology Education, 2024
The innovation capability largely determines the initiative for future development of a region. Higher school is the main position for training innovative talents. Accurate and comprehensive assessment of innovation cultivation capability is an important basis of higher schools for continuous improvement. Thus, this paper focuses on assessing…
Descriptors: Models, Innovation, Higher Education, Evaluation
Tao Fu; Yonghan Ji – SAGE Open, 2024
Using the Triple Helix model, this study explores the government-university relationship in the context of China's AI talent development, and their outcomes in terms of AI program deployment, enrollment and faculty. Their interaction may best be summarized as a model of government pull and university response, but with more support and autonomy…
Descriptors: Government Role, Universities, Artificial Intelligence, Talent Development
Yang Qin – International Journal of Information and Communication Technology Education, 2024
With the development of technology, people expect real-time communication with computers. Wearable devices, such as those for monitoring physiological signals, have rapidly developed and are now being applied in college and university evaluation. Due to the non-standard and unscientific practices in teaching, teachers may experience psychological…
Descriptors: Artificial Intelligence, Psychological Patterns, Physiology, Emotional Response
Ching Sing Chai; Ding Yu; Ronnel B. King; Ying Zhou – SAGE Open, 2024
As artificial intelligence (AI) permeates almost all aspects of our lives, university students need to acquire relevant knowledge, skills, and attitudes to adapt to the challenges it poses. This study reports the development and validation of a scale called the Artificial Intelligence Learning Intention Scale (AILIS). AILIS was designed to measure…
Descriptors: Artificial Intelligence, Intention, Measures (Individuals), Development
Crompton, Helen; Burke, Diane – International Journal of Educational Technology in Higher Education, 2023
This systematic review provides unique findings with an up-to-date examination of artificial intelligence (AI) in higher education (HE) from 2016 to 2022. Using PRISMA principles and protocol, 138 articles were identified for a full examination. Using a priori, and grounded coding, the data from the 138 articles were extracted, analyzed, and…
Descriptors: Artificial Intelligence, Higher Education, Publications, Educational Trends
Ying Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
In recent years, with the economic development of various countries, education has also made great leaps, and piano teaching has been popularized and promoted in various universities. Pianos are also put into use in universities through normal channels. According to the survey, there are certain drawbacks in the teaching process of piano, which…
Descriptors: Musical Instruments, Music Education, Artificial Intelligence, Higher Education
Feng, Dalei – International Journal of Web-Based Learning and Teaching Technologies, 2023
Applying multimedia technology to college music teaching can directly present some abstract knowledge to students. This not only breaks the limitation of traditional teaching time and space, but also enriches the teaching content and improves the teaching quality. Therefore, it is very important to change the teaching concept, actively practice…
Descriptors: Multimedia Instruction, Educational Technology, Music Education, Higher Education
Fu, Wei; Li, Wei; Chen, Boyu; Zhang, Junjie; Xie, Qiong; Zhou, Lu; Zhang, Xuemei – Biochemistry and Molecular Biology Education, 2023
With the emergence of innovative technologies, including combinatorial chemistry, high-throughput screening, computer-aided drug design (CADD), artificial intelligence (AI) and big data, the importance of drug design in the field of drug discovery and development is increasing. Additionally, education in drug design plays an important role in the…
Descriptors: Chemistry, Pharmaceutical Education, Computer Assisted Design, Artificial Intelligence
Xiaohua Liu; Yangyu Xiao – Education and Information Technologies, 2025
The bulk of recent research on generative AI (GenAI) in education mainly focused on its potential pedagogical uses as well as how students actually exploit such tools during learning, while little has been done to systematically investigate how teachers integrate those tools in different parts of their teaching process. To bridge this gap, the…
Descriptors: College Faculty, Foreign Countries, Artificial Intelligence, Second Language Instruction
Sijia Chen; Jan-Louis Kruger – Interpreter and Translator Trainer, 2024
Following a preliminary study that examined the potential effectiveness of a computer-assisted consecutive interpreting (CACI) mode, this paper presents a further trial of the CACI workflow. The workflow involves respeaking using speech recognition (SR) in phase I and production assisted by the SR text and its machine translation (MT) output in…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Translation, Speech Communication
Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
Zhang, Wei; Wang, Yu; Wang, Suyu – Education and Information Technologies, 2022
Educational data mining (DEM) provides valuable educational information by applying data mining tools and techniques to analyze data at educational institutions. In this paper, tree-based machine learning algorithms are used to predict students' overall academic performance in their bachelor's program. The transcript data of the students in the…
Descriptors: Grade Prediction, Academic Achievement, Models, Artificial Intelligence
Yang Yang – Shanlax International Journal of Education, 2024
This paper explores the reliability of using ChatGPT in evaluating EFL writing by assessing its intra- and inter-rater reliability. Eighty-two compositions were randomly sampled from the Written English Corpus of Chinese Learners. These compositions were rated by three experienced raters with regard to 'language', 'content', and 'organization'.…
Descriptors: English (Second Language), Second Language Instruction, Writing (Composition), Evaluation Methods
Muhammad Yasir Mustafa; Ahmed Tlili; Georgios Lampropoulos; Ronghuai Huang; Petar Jandric; Jialu Zhao; Soheil Salha; Lin Xu; Santosh Panda; Kinshuk; Sonsoles López-Pernas; Mohammed Saqr – Smart Learning Environments, 2024
Despite the increased adoption of Artificial Intelligence in Education (AIED), several concerns are still associated with it. This has motivated researchers to conduct (systematic) reviews aiming at synthesizing the AIED findings in the literature. However, these AIED reviews are diversified in terms of focus, stakeholders, educational level and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Countries, Higher Education
Wang, Yuhua – Journal of Psycholinguistic Research, 2023
This paper explores the practical prospects for using artificial intelligence technologies in professional English-speaking translator education. At the online conference 'Translation Skills in Times of Artificial Intelligence' (DingTalk platform, January 2022), the teachers of higher education institutions in China prioritized the translator's…
Descriptors: English, Translation, Professional Education, Artificial Intelligence