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"TUTORING"
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Examining the applications of intelligent tutoring systems in real educational contexts: A systematic literature review from the social experiment perspective
Intelligent Tutoring Systems (ITSs) have a great potential to effectively transform teaching and learning. As more efforts have been put on designing and developing ITSs and integrating them within learning and instruction, mixed types of results about the effectiveness of ITS have been reported. Therefore, it is necessary to investigate how ITSs work in real and natural educational contexts and the associated challenges of ITS application and evaluation. Through a systematic literature review method, this study analyzed 40 qualified studies that applied social experiment methods to examine the effectiveness of ITS during 2011–2022. The obtained results highlighted a complicated landscape regarding the effectiveness of ITS in real educational contexts. Specifically, there was an “intelligent” regional gap regarding the distribution of countries where ITS studies using social experiment methods were conducted. Compared to learning performance, relatively less attention was paid to investigating the impact of ITS on non-cognitive factors, process-oriented factors, and social outcomes, calling for more research in this regard. Considering the complexities and challenges existing in real educational fields, there was a lack of scientific rigor in terms of experimental design and data analysis in some of the studies. Based on these findings, suggestions for future study and implications were proposed.
Journal Article
A Programmatic Approach to Peer-Led Tutoring to Assist Students in Academic Difficulty
Objective. To evaluate a peer-led tutoring program to assist students in academic difficulty in the didactic curriculum across multiple courses using one-on-one and large group peer-led sessions, and to evaluate the academic performance and perceptions of students in this program.
Methods. This study involved first-year (P1) through fourth-year (P4) pharmacy students who served as tutors and their P1 through P3 tutees. Tutoring was offered in multiple didactic courses using one-on-one and large group peer-led sessions. Didactic curriculum completion rates and perceptions of the program were assessed.
Results. A total of 463 (47%) P1 through P3 student pharmacists used the one-on-one or large group peer-led tutoring services in 28 courses across four academic years. Tutored students had a lower grade distribution compared to nontutored students, suggesting a more at-risk group for academic failures and dismissals. Despite this, the didactic curriculum completion rate was comparable between the tutored and nontutored students during the study period, suggesting that the program helped reduce academic dismissals of the at-risk tutored students. On the perceptions survey, 95% of respondents felt they improved their study habits, and 92% felt more confident in their ability to succeed.
Conclusion. This peer-led tutoring program appeared to be successful in providing comparable didactic curriculum completion rates of tutored students, who represented an at-risk group for academic failures and dismissals compared with nontutored students. The tutoring program structure and design may be a useful tool for other colleges of pharmacy as they seek ways to assist students.
Journal Article
Understanding secondary students’ continuance intention to adopt AI-powered intelligent tutoring system for English learning
Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students’ intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students’ continuance intention to use and actual use of ITSs for English learning. The model included fifteen hypotheses that were tested with 528 senior secondary students in China. The results of structural equation modeling showed that (1) perceived usefulness and price value had direct positive impacts on continuance intention; (2) perceived ease of use was not directly associated with students’ intention but indirectly influenced intention via perceived usefulness; (3) through the mediation of perceptions, learning goal orientation and facilitating conditions were positively associated with continuance intention; (4) perceived enjoyment positively predicted and anxiety negatively predicted students’ intention to use ITSs; and (5) students’ continuance intention to use ITSs was significantly positively associated with their actual use of ITSs for English learning. The model showed strong explanatory power and might be implemented in future research. This study contributes to the theory and practice of ITSs in K-12 education.
Journal Article
Data-Driven Hint Generation in Vast Solution Spaces: a Self-Improving Python Programming Tutor
To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not occurred in the data before. We provide a detailed description of the system’s implementation and perform a technical evaluation on a small set of data to determine the effectiveness of the component algorithms and ITAP’s potential for self-improvement. The results show that ITAP is capable of producing hints for almost any given state after being given only a single reference solution, and that it can improve its performance by collecting data over time.
Journal Article