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Ziyi Kuang; Xiaxia Jiang; Keith T. Shubeck; Xiaoxue Leng; Yahong Li; Rui Zhang; Zhen Wang; Shun Peng; Xiangen Hu – Educational Psychology, 2024
This study explored the role of question types and prior knowledge in vicarious learning with an intelligent tutoring system. In experiment 1, the participants were assigned to three conditions (deep questions, shallow questions, control), the results showed that participants in the deep questions condition had higher retention test scores than…
Descriptors: Questioning Techniques, Intelligent Tutoring Systems, Cognitive Processes, College Students
Pauldy C. J. Otermans; Charlotte Roberts; Stephanie Baines – International Journal of Technology in Education, 2025
This study examines the relationship between students' attitudes toward artificial intelligence (AI) and both AI competence and conceptions. 176 UK university students completed a survey where they were asked to rate statements in relation to their attitudes towards AI, their AI competence and their conceptions about AI using 5-point Likert-type…
Descriptors: Artificial Intelligence, Student Attitudes, Technology Uses in Education, Educational Technology
Milos Ilic; Goran Kekovic; Vladimir Mikic; Katerina Mangaroska; Lazar Kopanja; Boban Vesin – IEEE Transactions on Learning Technologies, 2024
In recent years, there has been an increasing trend of utilizing artificial intelligence (AI) methodologies over traditional statistical methods for predicting student performance in e-learning contexts. Notably, many researchers have adopted AI techniques without conducting a comprehensive investigation into the most appropriate and accurate…
Descriptors: Artificial Intelligence, Academic Achievement, Prediction, Programming
Sajja, Ramteja; Sermet, Yusuf; Cwiertny, David; Demir, Ibrahim – International Journal of Educational Technology in Higher Education, 2023
Miscommunication between instructors and students is a significant obstacle to post-secondary learning. Students may skip office hours due to insecurities or scheduling conflicts, which can lead to missed opportunities for questions. To support self-paced learning and encourage creative thinking skills, academic institutions must redefine their…
Descriptors: College Students, Artificial Intelligence, Teaching Assistants, Intelligent Tutoring Systems
Essa, Eman Khaled – International Journal of Research in Education and Science, 2023
With the escalation of the COVID-19 crisis, many educational institutions have turned to distance education, especially universities and higher education institutions, which may affect the quality of learning outcomes especially those related to deeper learning and academic mindfulness. The present study aimed at investigating the effectiveness of…
Descriptors: College Students, Blended Learning, Metacognition, Instructional Effectiveness
Assim S. Alrajhi – Education and Information Technologies, 2025
Motivated by the proliferation of artificial intelligence that has the potential to promote self-access learning, this study utilizes a sequential explanatory quasi-experimental mixed methods design to investigate the efficacy of Google Assistant (GA) in facilitating second language (L2) vocabulary learning compared to online dictionaries. A…
Descriptors: English (Second Language), Second Language Learning, Artificial Intelligence, Vocabulary Development
Fadoua Balabdaoui; Nora Dittmann-Domenichini; Henry Grosse; Claudia Schlienger; Gerd Kortemeyer – Discover Education, 2024
We report the results of a 4800-respondent survey among students at a technical university regarding their usage of artificial intelligence tools, as well as their expectations and attitudes about these tools. We find that many students have come to differentiated and thoughtful views and decisions regarding the use of artificial intelligence. The…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Qian Xu – Discover Education, 2024
This research suggests a methodology to examine the effectiveness Artificial Intelligence (AI) on the cognitive abilities of college students so that future researchers can utilize this experimental project to focus on how AI-powered Intelligent Tutoring Systems (ITSs) affect learning outcomes. As AI continues to revolutionize all walks of life,…
Descriptors: Artificial Intelligence, Cognitive Ability, College Students, Intelligent Tutoring Systems
Wiegand, R. Paul; Bucci, Anthony; Kumar, Amruth N.; Albert, Jennifer; Gaspar, Alessio – ACM Transactions on Computing Education, 2022
In this article, we leverage ideas from the theory of coevolutionary computation to analyze interactions of students with problems. We introduce the idea of "informatively" easy or hard concepts. Our approach is different from more traditional analyses of problem difficulty such as item analysis in the sense that we consider Pareto…
Descriptors: Concept Formation, Difficulty Level, Computer Science Education, Problem Solving
Maximiliano Paredes-Velasco; Isaac Lozano-Osorio; Diana Perez-Marin; Liliana Patricia Santacruz-Valencia – IEEE Transactions on Learning Technologies, 2024
Teaching programming is a topic that has generated a high level of interest among researchers in recent decades. In particular, multiple approaches to teaching visual programming have been explored, from the use of tools such as Scratch, robots, unplugged programming, or activities for the development of computational thinking. Despite the wide…
Descriptors: Visual Aids, Programming, Intelligent Tutoring Systems, Computer Oriented Programs
Lu Ding; Kai Hung; Hua Zheng – American Journal of Distance Education, 2024
As videos have become one of the most common content delivery formats for online learning, tutorial-style videos have shown positive influences on student learning. Tutorial-style videos feature a tutoring session between an instructor and a student and can be used for online or flipped classroom teaching. However, past studies have been…
Descriptors: Intelligent Tutoring Systems, Tutoring, Lecture Method, Video Technology
Heather Boutell; Ashley Couture; Pamela Scretchen – ProQuest LLC, 2024
This study explored how a private, southeastern college of education (COE) supported students in passing the Praxis II examinations. Using Knowles' (1988) adult learning theory and Bandura's (1977) self-efficacy theory, the researchers examined students' experiences with various COE-provided resources and their impact on Praxis II scores. A…
Descriptors: Readiness, Self Efficacy, Private Colleges, College Students
Pamela Scretchen; Ashley Couture; Heather Boutell – ProQuest LLC, 2024
This study explored how a private, southeastern college of education (COE) supported students in passing the Praxis II examinations. Using Knowles' (1988) adult learning theory and Bandura's (1977) self-efficacy theory, the researchers examined students' experiences with various COE-provided resources and their impact on Praxis II scores. A…
Descriptors: Readiness, Self Efficacy, Private Colleges, College Students
Erika L. Thompson; Toufeeq Ahmed Syed; Zainab Latif; Katie Stinson; Damaris Javier; Gabrielle Saleh; Jamboor K. Vishwanatha – Journal for STEM Education Research, 2025
Given the differences in trajectory for under-represented minorities in biomedical careers, we sought to explore how a virtual mentoring program, the National Research Mentoring Network (NRMN), and its platform (MyNRMN), may facilitate transitions in the science, technology, engineering, mathematics, and medicine (STEMM) pipeline. The purpose of…
Descriptors: College Students, STEM Education, STEM Careers, Medical Education