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M. Anthony Machin; Tanya M. Machin; Natalie Gasson – Psychology Learning and Teaching, 2024
Progress in understanding students' development of psychological literacy is critical. However, generative AI represents an emerging threat to higher education which may dramatically impact on student learning and how this learning transfers to their practice. This research investigated whether ChatGPT responded in ways that demonstrated…
Descriptors: Psychology, Higher Education, Artificial Intelligence, Intelligent Tutoring Systems
Scott A. Crossley; Minkyung Kim; Quian Wan; Laura K. Allen; Rurik Tywoniw; Danielle S. McNamara – Grantee Submission, 2025
This study examines the potential to use non-expert, crowd-sourced raters to score essays by comparing expert raters' and crowd-sourced raters' assessments of writing quality. Expert raters and crowd-sourced raters scored 400 essays using a standardised holistic rubric and comparative judgement (pairwise ratings) scoring techniques, respectively.…
Descriptors: Writing Evaluation, Essays, Novices, Knowledge Level
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
Antonie Alm; Louise Ohashi – Technology in Language Teaching & Learning, 2024
This exploratory study investigated how 367 university language educators from 48 countries/regions responded to ChatGPT in the first 10 weeks after its release. It explored awareness, use, attitudes, and perceived impact through a survey collecting both quantitative and qualitative data. Most participants demonstrated moderate awareness, but…
Descriptors: Higher Education, Language Teachers, Artificial Intelligence, Intelligent Tutoring Systems
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
Daryn A. Dever; Megan D. Wiedbusch; Sarah M. Romero; Roger Azevedo – British Journal of Educational Technology, 2024
Intelligent tutoring systems (ITSs) incorporate pedagogical agents (PAs) to scaffold learners' self-regulated learning (SRL) via prompts and feedback to promote learners' monitoring and regulation of their cognitive, affective, metacognitive and motivational processes to achieve their (sub)goals. This study examines PAs' effectiveness in…
Descriptors: Intelligent Tutoring Systems, Scaffolding (Teaching Technique), Independent Study, Prompting
Yuhui Yang; Hao Zhang; Huifang Chai; Wei Xu – Interactive Learning Environments, 2023
The COVID-19 pandemic has accelerated the transformation of education forms, and the combination of online and offline teaching has become the core development direction of university teaching at present and in the future. Therefore, appropriate teaching space is urgently needed to support the practice of blended teaching. Firstly, this paper…
Descriptors: Intelligent Tutoring Systems, Instructional Design, Universities, Blended Learning
Juan Zheng; Shan Li; Tingting Wang; Susanne P. Lajoie – International Journal of Educational Technology in Higher Education, 2024
Emotions play a crucial role in the learning process, yet there is a scarcity of studies examining emotion dynamics in problem-solving with fine-grained data and advanced tools. This study addresses this gap by investigating the emotional trajectories during self-regulated learning (SRL) phases (i.e., forethought, performance, and self-reflection)…
Descriptors: Medical Students, Problem Solving, Intelligent Tutoring Systems, Nonverbal Communication
Valentina Grion; Juliana Raffaghelli; Beatrice Doria; Anna Serbati – Educational Research and Evaluation, 2024
Feedback is crucial for improving student learning. In this regard, overcoming the transmissive conception of feedback in favour of its dialogic function introduces new reflections concerning the internal generative feedback process. In this regard, Nicol [(2020). The power of internal feedback: Exploiting natural comparator processes.…
Descriptors: Student Attitudes, Self Evaluation (Individuals), Feedback (Response), Individual Differences
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
Wang, Tingting; Li, Shan; Huang, Xiaoshan; Pan, Zexuan; Lajoie, Susanne P. – Education and Information Technologies, 2023
Students process qualitatively and quantitatively different information during the dynamic self-regulated learning (SRL) process, and thus they may experience varying cognitive load in different SRL behaviors. However, there is limited research on the role of cognitive load in SRL. This study examined students' cognitive load in micro-level SRL…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Self Efficacy
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
Aniekan Essien; Oyegoke Teslim Bukoye; Xianghan O'Dea; Marios Kremantzis – Studies in Higher Education, 2024
This study investigates the influence of generative artificial intelligence (GAI), specifically AI text generators (ChatGPT), on critical thinking skills in UK postgraduate business school students. Using Bloom's taxonomy as theoretical underpinning, we adopt a mixed-method research employing a sample of 107 participants to investigate both the…
Descriptors: Foreign Countries, Graduate Students, Business Education, Artificial Intelligence