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Martin, Paul P.; Graulich, Nicole – Chemistry Education Research and Practice, 2023
In chemistry, reasoning about the underlying mechanisms of observed phenomena lies at the core of scientific practices. The process of uncovering, analyzing, and interpreting mechanisms for explanations and predictions requires a specific kind of reasoning: mechanistic reasoning. Several frameworks have already been developed that capture the…
Descriptors: Artificial Intelligence, Critical Thinking, Logical Thinking, Student Evaluation
Andrew Williams – International Journal of Research in Education and Science, 2024
Effective student feedback can have a significant influence on student motivation, learning and performance. However, feedback practices can be difficult to implement, thereby inhibiting the potential of feedback for student learning. Despite numerous attempts to improve the quality of feedback and student feedback literacy, difficulties persist,…
Descriptors: Feedback (Response), College Students, Barriers, Best Practices
Carme Grimalt-Álvaro; Mireia Usart – Journal of Computing in Higher Education, 2024
Sentiment Analysis (SA), a technique based on applying artificial intelligence to analyze textual data in natural language, can help to characterize interactions between students and teachers and improve learning through timely, personalized feedback, but its use in education is still scarce. This systematic literature review explores how SA has…
Descriptors: Formative Evaluation, Higher Education, Artificial Intelligence, Natural Language Processing
Araz Zirar – Review of Education, 2023
Recent developments in language models, such as ChatGPT, have sparked debate. These tools can help, for example, dyslexic people, to write formal emails from a prompt and can be used by students to generate assessed work. Proponents argue that language models enhance the student experience and academic achievement. Those concerned argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Models
Jones, Daniel Marc; Cheng, Liying; Tweedie, M. Gregory – Canadian Journal of Learning and Technology, 2022
This article reviews recent literature (2011-present) on the automated scoring (AS) of writing and speaking. Its purpose is to first survey the current research on automated scoring of language, then highlight how automated scoring impacts the present and future of assessment, teaching, and learning. The article begins by outlining the general…
Descriptors: Automation, Computer Assisted Testing, Scoring, Writing (Composition)

Blandford, A. E. – Journal of Artificial Intelligence in Education, 1994
Discussion of a prototype intelligent education system called WOMBAT (Weighted Objectives Method by Arguing with the Tutor) focuses on dialogue and negotiation in collaborative problem solving. The results of a formative evaluation, in which the system was used by 10 subjects who commented on various aspects of the design, are presented. (Contains…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Cooperative Learning, Educational Environment

Murray, Tom – Journal of Artificial Intelligence in Education, 1993
Discusses evaluation methods applicable to exploratory research areas, provides an overview of qualitative and formative methods for exploratory research on intelligent tutoring systems (ITS) and describes an exploratory study in ITS knowledge acquisition which involved working with three educators to build an ITS for high school physics.…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Evaluation Methods, Formative Evaluation
O'Neil, Harold F., Jr.; Baker, Eva L. – 1987
Among opportunities to advance the state of the art of intelligent computer-assisted instruction (ICAI) are the evaluation of ICAI systems and the use of the underlying technology in ICAI systems to develop tests. Each issue is addressed via its theoretical context, key constructs, appropriate references to the literature, methodological aspects,…
Descriptors: Academic Achievement, Artificial Intelligence, Computer Assisted Instruction, Computer Software

Murray, Tom; And Others – Interactive Learning Environments, 1990
Describes an intelligent tutoring system designed to help students remedy misconceptions of physics concepts based on a teaching strategy called bridging analogies. Highlights include tutoring strategies; misconceptions in science education; the example situation network; confidence checking; formative evaluation with college students, including…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Confidence Testing, Formative Evaluation