Use of an intelligent tutoring system for a curriculum on augmentative and alternative communication: Feasibility for implementation.

BACKGROUND: Over 8 million children with disabilities live in Africa and are candidates for augmentative and alternative communication (AAC), yet formal training for team members, such as speech-language therapists and special education teachers, is extremely limited. Only one university on the continent provides postgraduate degrees in AAC, and other institutions provide only short modules at an undergraduate level. The need for an introductory training course on AAC that is accessible by university students continent-wide was identified. An online programme, namely an intelligent tutoring system (ITS), was identified as a possible option to facilitate interactive learning without the need for synchronous teaching. The use of an ITS is shown to be effective in developing knowledge and clinical reasoning in the health and rehabilitation fields. However, it has not yet been applied to student teaching in the field of AAC. AIM: To determine both the feasibility of an ITS to implement an AAC curriculum for students in four African countries, and the usability and effectiveness of such a system as a mechanism for learning about AAC. METHOD & PROCEDURES: The study included two components: the development of a valid AAC curriculum; and using the ITS to test the effectiveness of implementation in a pre- and post-test design with 98 speech-language therapy and special education students from five universities. OUTCOMES & RESULTS: Statistically significant differences were obtained between pre- and post-test assessments. Students perceived the learning experience as practical, with rich content. CONCLUSIONS & IMPLICATIONS: The findings suggest that the ITS-based AAC curriculum was positively perceived by the students and potentially offers an effective means of providing supplementary AAC training to students, although modifications to the system are still required. WHAT THIS PAPER ADDS: What is already known on the subject Professionals typically lack formal training in AAC. In Africa, this presents a serious challenge as there are over 8 million children who are candidates for AAC. A need for an introductory training course on AAC, which can be accessed by university students continent-wide, was identified. What this paper adds to existing knowledge An AAC curriculum was developed and integrated into an ITS, an online programme allowing interactive learning through asynchronous teaching. Students from four African countries completed the AAC ITS curriculum. The curriculum was positively received by the students and statistically significant changes in knowledge were identified. What are the practical and clinical implications of this work? This feasibility study shows that the use of an ITS is an effective means of providing AAC training to university students in these African countries. The results provide a valuable contribution toward ensuring the equitable distribution of AAC training opportunities in the African context. This will have a significant positive impact on those who are candidates for AAC.

The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task.

During the learning of a new sensorimotor task, individuals are usually provided with instructional stimuli and relevant information about the target task. The inclusion of haptic devices in the study of this kind of learning has greatly helped in the understanding of how an individual can improve or acquire new skills. However, the way in which the information and stimuli are delivered has not been extensively explored. We have designed a challenging task with nonintuitive visuomotor perturbation that allows us to apply and compare different motor strategies to study the teaching process and to avoid the interference of previous knowledge present in the naïve subjects. Three subject groups participated in our experiment, where the learning by repetition without assistance, learning by repetition with assistance, and task Segmentation Learning techniques were performed with a haptic robot. Our results show that all the groups were able to successfully complete the task and that the subjects' performance during training and evaluation was not affected by modifying the teaching strategy. Nevertheless, our results indicate that the presented task design is useful for the study of sensorimotor teaching and that the presented metrics are suitable for exploring the evolution of the accuracy and precision during learning.

Introducing AnatomyGPT: A customized artificial intelligence application for anatomical sciences education.

Artificial intelligence (AI) technologies are poised to become an increasingly important part of education in the anatomical sciences. OpenAI has also introduced generative pretrained transformers (GPTs), which are customizable versions of the standard ChatGPT application. There is little research that has explored the potential of GPTs to serve as intelligent tutoring systems for learning the anatomical sciences. The objective of this study was to describe the design and explore the performance of AnatomyGPT, a customized artificial intelligence application intended for anatomical sciences education. The AnatomyGPT application was configured with GPT Builder by uploading open-source textbooks as knowledge sources and by providing pedagogical instructions for how to interact with users. The performance of AnatomyGPT was compared with ChatGPT by evaluating the responses of both applications to prompts of the National Board of Medical Examiners (NBME) sample items with respect to accuracy, rationales, and citations. AnatomyGPT achieved high scores on the NBME sample items for Gross Anatomy, Embryology, Histology, and Neuroscience and scored comparably to ChatGPT. In addition, AnatomyGPT provided several citations in the responses that it generated, while ChatGPT provided none. Both GPTs provided rationales for all sample items. The customized AnatomyGPT application demonstrated preliminary potential as an intelligent tutoring system by generating responses with increased citations as compared with the standard ChatGPT application. The findings of this study suggest that instructors and students may wish to create their own custom GPTs for teaching and learning anatomy. Future research is needed to further develop and characterize the potential of GPTs for anatomy education.

Flow with an intelligent tutor: A latent variable modeling approach to tracking flow during artificial tutoring.

Increasing use of intelligent tutoring systems in education calls for analytic methods that can unravel students' learning behaviors. In this study, we explore a latent variable modeling approach for tracking learning flow during computer-interactive artificial tutoring. The study considers three models that give discrete profiles of a latent process: the (i) latent class model, (ii) latent transition model, and (iii) hidden Markov model. We illustrate application of each model using example log data from Cognitive Tutor Algebra I and suggest analytic procedures of drawing learning flow. Through experimental application, we show that the models can reveal substantive information about students' learning behaviors and have potential utility for describing the learning flow. The models differed in the assumptions and data constraints but yielded consistent findings on the flow states and interaction modalities. Based on our experiential analyses, we discuss strengths and limitations of the models and illuminate areas of future development.

Inequality in the shadow: The role of private tutoring in SES achievement gaps.

Despite the rapid growth of private tutoring, previous studies have not systematically addressed its implications for socioeconomic status (SES) disparities in education, as they have only separately examined differential access to and the effects of private tutoring. This study directly estimates the causal contribution of private tutoring to SES disparities in educational achievement and cognitive ability among Chinese middle school students. Using nationally representative longitudinal data and a novel gap-closing approach, we find that unequal access to private tutoring does not uniformally result in significant learning gaps between high- and low-SES students. When comparing disadvantaged students with their most socioeconomically advantaged peers, we find that the proportions of SES disparities attributed to differences in participation in and intensity of private tutoring increase with these differences. These findings have important policy implications for reducing SES disparities in learning outcomes.

Using the Delphi method to develop a clinical skills assessment tool for advanced practice nurses in psychiatry and mental health / Élaboration d'un outil d'évaluation des compétences en stage des étudiants infirmiers en pratique avancée, mention psychiatrie et santé mentale à partir d'une méthode Delphi

Introduction: In France, advanced practice for psychiatric and mental health nurses has been developing since 2019. The acquisition of clinical skills by advanced practice nursing students requires monitoring and evaluation. This article outlines the process for creating an internship logbook. Objective: To develop and verify a tool for assessing the skills of advanced practice nursing students specializing in psychiatry and mental health during the internship stage. Method: The Delphi method described by Hasson was used, with the aim of obtaining a consensus of over 80% of the experts consulted. Results: A panel of ten experts, all internship tutors at partner healthcare establishments of Aix Marseille University, was consulted twice. The internship logbook was composed of 68 items. Discussion: This tool is the product of a multidisciplinary process including nurses and psychiatric nurses. It can be adapted to a variety of learning environments and helps tutors track the acquisition of clinical skills during the internships, both through external and self-assessment. Conclusion: A new Delphi consultation will foster uptake of this tool. Advanced practice nurses in psychiatry and mental health will be included in the group of experts.

The impact of tutoring on nursing students' clinical judgment: A quasi-experimental study.

BACKGROUND: Nurses' lack of clinical judgment often leads to adverse patient outcomes due to failure to recognize clinical deterioration, intervene, and manage complications. Teaching clinical judgment through a nursing process can help nursing students provide safe and competent patient care with improved health outcomes and to pass the National Council Licensure Examination for Registered Nurses (NCLEX-RN). AIMS: The aim of this study was to examine the effect of tutoring on clinical judgment of undergraduate nursing students utilizing Lasater's Clinical Judgment Rubric (LCJR). This study also compared the clinical judgment of male and female nursing students and students from different semester levels. METHODS: This quasi-experimental study utilized a single group pretest, posttest design. A convenience sample of n = 40 undergraduate nursing students from the Los Angeles County College of Nursing and Allied Health participated in the study. The participants underwent a pretest simulation, four sessions of the Clinical Judgment Model (CJM)-based tutoring, and a posttest simulation. RESULTS: The posttest clinical judgment scores (35.70 ± 3.6) were significantly different from the pretest scores (25.78 ± 5.20). The tutoring had a significant effect on the clinical judgment of nursing students t(39) = -11.64, n = 40, p < .001, at 95% CI of the mean difference. LINKING EVIDENCE TO ACTION: Enhancing nursing students' clinical judgment is crucial to provide high-quality, safe patient care with improved health outcomes. The CJM-based tutoring is an effective strategy for developing clinical judgment in nursing students. This new teaching approach can train students to critically think, develop clinical judgment, and prepare for the complex healthcare environment. Therefore, nurse educators should focus on integrating clinical judgment into the prelicensure nursing program curriculum as a priority.

Effects of students' peer teaching in a new pharmacokinetics teaching format.

INTRODUCTION: The aim of this work was to evaluate the impact of a teaching method in pharmacokinetics (PK) in terms of satisfaction and performance in the final test of students. MATERIAL AND METHODS: This method consisted of the development of a practical problem and a peer-tutored solution by small groups of three or four students. Students enrolled in the second year of pharmaceutical studies had to generate a PK practical problem, to propose a solution and to conduct a peer-tutored solution of the practical problem completed by another student group in a learning-connected classroom. Student's performance was assessed by individual semi-structured interviews and by comparing the scores obtained in the final test with those obtained in previous years. RESULTS: More than 70% of the students were highly satisfied with the new format of the PK course, especially concerning the development and the design of a practical problem. More than 94% of the students considered that the content of the lecture-based teaching was at least adapted and in accordance with the objectives of the PK course. Students reported very constructive discussions and interactions with peers and the teacher. In addition, students significantly increased their score at the final PK test compared to previous years (53.27±19.10% in 2015-2017 vs. 71.30±13.47% in 2018-2019, P<.0001). CONCLUSION: This new method including peer teaching was applied in PK and allowed to significantly increase the performance and the satisfaction of the students in PK.

Impact of social comparison on perceived online academic futility: A perspective from parents.

In response to the wide-ranging concern of online academic futility, the current study aimed to explore the independent variables and mediating variable from a novel perspective of parents during COVID-19. Based on the social comparison theory and the control-value theory of achievement emotions, social comparison and tutoring anxiety were incorporated into an integrated model as predictors and mediator, respectively. A total of 300 parents completed an online survey. The results of the structural equation modeling indicated that upward social comparison and downward social comparison were both positively related to tutoring anxiety, which in turn positively predicted perceived online academic futility. Notably, tutoring anxiety played a significant mediating role in the association between different social comparison and perceived online academic futility. These results highlight the consistent predictive effect of upward social comparison and downward social comparison on perceived online academic futility, shedding light on the roles of tutoring anxiety in explaining the relationship from parental perspectives.

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.

Does gender stereotype threat affects the levels of aggressiveness, learning and flow in gamified learning environments?: An experimental study.

Studies in the literature reported several positive benefits provided by the use of technology in online education, especially in the gamified tutoring system. However, despite the benefits of intelligent tutoring systems, recent studies indicate the presence of a gender gap not considered in the construction of the attributes present in the gamified tutoring system. To investigate this impact by observing users' behavioral changes in gamified online educational environments, the present study aims to investigate the effects of the stereotype threats using a quantitative experiment with a Factorial Design in three gamified environments (stereotypical male version, stereotypical female version and control environment). Was conducted an experiment with 150 individuals (high school and undergraduate students) without considering age, ethnicity, or social class. The results show that the participants allocated to the male learning environment present an increase in aggressiveness level. Furthermore, the results also show the stereotypical male and female learning environments increased the participants' performance level. Another finding was that the threatening condition provided a significant increase in the participants' flow level among males subjected to a threatening condition, which did not manifest in the case of females. In addition, this study also observed the effect of the stereotype threat on men and women in the threatening condition by division in the 34-year age group, resulting in a significant increase in the level of flow among men. This study showed previous results show that the gamified environment influences psychological variables as aggressiveness, intellectual performance, and flow level, they raise questions about the direction of these changes and the impact they may have on users' usability and performance in these systems.

Mathematics intelligent tutoring system for learning multiplication and division of fractions based on diagnostic teaching.

A one-on-one dialogue-based mathematics intelligent tutoring system (ITS) for learning multiplication and division of fractions was developed and evaluated in this study. This system could identify students' error types and misconceptions in real-time by using a block-based matching method. The adaptive dialogue-based instruction was supported by a response-driven tutoring model, which was constructed based on the diagnostic teaching methodology. Instructional strategies including provoking cognitive conflict, problem simplification and representational teaching were used in the tutoring model of the system. Effectiveness of the math ITS in remedial instruction was evaluated through a quasi-experimental study. The participants of the study were 66 sixth graders chosen from central Taiwan. They were divided into an experimental group of 35 and a control group of 31. One week after the pretest, the experimental group received 2-h one-on-one instruction via the math ITS, while the control group took a 2-h conventional teacher instruction with the same teaching content in the classroom. All participants took a post-test within 2 days after the remedial instruction. The results showed that the experimental group using the math ITS significantly outperformed the control group. Further analysis indicated that the math ITS had a significant effect on the lesser-performing group (the lower 75% in the pretest score). In addition, a usability and user experience survey showed that students were willing and likely to learn mathematics using the dialogue-based math ITS.

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.

What are tutors' perceptions of an online tutoring project-Digital Learning Companion-During the COVID-19 pandemic? A case study in Taiwan.

The COVID-19 outbreak has had serious impact on remote education and service-learning implementation in Taiwan. To alleviate these impacts, the Digital Learning Companion, an online tutoring project, was proposed to bridge the digital divide and learning gap among remote children, while offering university students an online service-learning environment. This project recruited international students as tutors for local children. To explore tutors' perceptions of this project during the COVID-19 pandemic, qualitative research, particularly a case study, was conducted. Adopting purposive sampling, 15 participants were chosen for interviews at the end of the project, and 10 reflective videos were used to reveal further information to supplement the interview results. Content analysis was employed to analyse the data. The findings implied that using JoinNet and tutoring journals significantly facilitated the tutoring process, which led to tutors' remarkable development in skills, social relationships, multicultural experience, altruism, social responsibility, self-efficacy, and affective values. However, they encountered some challenges, such as technical problems, communication barrier, lack of tutee information, and short tutoring duration. The solutions to these challenges and insightful suggestions for the project development are pointed out. The results of this study contribute to tutors' cognitive, social, and motivational development, and support the online service-learning-integrated curriculum, which can become a reference for further studies regarding online service-learning implementation to bridge the research gap.

[Evolution of tutoring in an orthopaedic surgery department: feedback]. / Évolution du tutorat dans un service de chirurgie orthopédique : retour d'expérience.

Tutoring involves a commitment on the part of tutors to welcoming, teaching and supporting student nurses. Tutoring plays a central role in our orthopedic surgery department, and we make it a priority. Its operation evolves according to needs, changes in tutors, student levels and the expectations of the nursing training institute. Our constant commitment to tutoring reflects our awareness of the need to support our future colleagues. Drawing on our various backgrounds and experiences, we felt it necessary to review the way we supervise ISTs and carry out our role as tutors.

[Welcoming learners, a DEPHI on the DMU!] / L'accueil des apprenants, un DEPHI sur le DMU !

The reception of learner-caregivers is a challenge for the care sectors in the context of clinical training, moreover in view of the current situation in connection with the health of our hospitals. Remember that internship periods represent 50 % of apprenticeship time in training institutes. So how does a Medical-University Department of Hematology and Immunology try to implement a policy of welcoming and supporting trainees, taking into account their level of training and promoting interest and emulation for future professionals health?

Peer tutoring of computer programming increases exploratory behavior in children.

There is growing interest in teaching computer science and programming skills in schools. Here we investigated the efficacy of peer tutoring, which is known to be a useful educational resource in other domains but never before has been examined in such a core aspect of applied logical thinking in children. We compared (a) how children (N = 42, age range = 7 years 1 month to 8 years 4 months) learn computer programming from an adult versus learning from a peer and (b) the effect of teaching a peer versus simply revising what has been learned. Our results indicate that children taught by a peer showed comparable overall performance-a combination of accuracy and response times-to their classmates taught by an adult. However, there was a speed-accuracy trade-off, and peer-taught children showed more exploratory behavior, with shorter response times at the expense of lower accuracy. In contrast, no tutor effects (i.e., resulting from teaching a peer) were found. Thus, our results provide empirical evidence in support of peer tutoring as a way to help teach computer programming to children. This could contribute to the promotion of a widespread understanding of how computers operate and how to shape them, which is essential to our values of democracy, plurality, and freedom.

Weekly near-peer tutoring sessions improve students' performance on basic medical sciences and USMLE Step1 examinations.

PURPOSE: This study examined the relationship between attendance at weekly near-peer tutoring (NPT) sessions offered in the second year of medical school and academic performance on basic science and USMLE Step 1 examinations. METHODS: Twenty-four weekly NPT sessions were delivered across all modules in the second year of medical school. Attendance of the sessions was recorded and students were divided into three groups: high (16-24 sessions), moderate (7-15 sessions), and low-no (0-6 sessions) attendance groups. Pearson product-moment correlation coefficient was computed to determine the relationship between students' frequency of attendance and their performance on overall basic sciences, two NBME CBSEs, and USMLE Step 1 examinations. Students' academic performance was also analyzed using ANOVA and Bonferroni post hoc test (p < 0.05) to compare differences between the three groups. RESULTS: Pearson correlation analyses revealed that attending peer tutoring sessions was significantly correlated with students' performance in overall basic sciences, CBSE mid-year, CBSE final, and USMLE Step 1 examinations. The high attendance groups significantly outperformed the low-no attendance groups on overall basic sciences (p = 0.007), CBSE mid-year (p < 0.001), CBSE final (p < 0.018), and USMLE Step 1 (p = 0.048) examinations. CONCLUSIONS: Attending NPT sessions are significantly correlated with students' performance on basic sciences and on USMLE Step1 examinations. Attendance of weekly NPT sessions is a valuable experience for M2 students.

Benefits of semiology taught using near-peer tutoring are sustainable.

BACKGROUND: Near-peer tutoring appears to be an efficient approach for teaching clinical skills. However, the clinical experience gained in the form of student medical internships may offset any interest in such tutoring programme. We then investigated the long-term benefits of this programme. METHODS: This study was conducted in a medical school that experimented in near-peer tutoring for semiology intended for undergraduate medical students. Objective Structured Clinical Examinations and a written semiology test were used to assess students' clinical skills immediately on its conclusion and repeated one and 2 years after the tutoring was completed. RESULTS: 116 students were evaluated initially (80 tutored and 36 untutored), 38 at 1 year (16 tutored and 22 untutored), 42 at 2 years (21 tutored and 21 untutored). In the global score for Objective Structured Clinical Examinations: at 1 year, the tutored group scored 14.0 ± 1.05 and the untutored group scored 11.3 ± 2.3 (p < 0.001), at 2 years, the tutored group scored 15.1 ± 1.5 and the untutored group scored 12.4 ± 2.2 (p < 0.001). We found a similar but smaller difference for the written semiology test. The difference for Objective Structured Clinical Examinations between tutored and untutored students vanished over time for cross-cutting skills. CONCLUSIONS: Near-peer tutoring in semiology for undergraduate medical students led to better results that remained with the passing of time. Though internships do allow an improvement in the clinical skills of untutored students, they did not reach the level of tutored students.

Predicting Students' Academic Performance with Conditional Generative Adversarial Network and Deep SVM.

The availability of educational data obtained by technology-assisted learning platforms can potentially be used to mine student behavior in order to address their problems and enhance the learning process. Educational data mining provides insights for professionals to make appropriate decisions. Learning platforms complement traditional learning environments and provide an opportunity to analyze students' performance, thus mitigating the probability of student failures. Predicting students' academic performance has become an important research area to take timely corrective actions, thereby increasing the efficacy of education systems. This study proposes an improved conditional generative adversarial network (CGAN) in combination with a deep-layer-based support vector machine (SVM) to predict students' performance through school and home tutoring. Students' educational datasets are predominantly small in size; to handle this problem, synthetic data samples are generated by an improved CGAN. To prove its effectiveness, results are compared with and without applying CGAN. Results indicate that school and home tutoring combined have a positive impact on students' performance when the model is trained after applying CGAN. For an extensive evaluation of deep SVM, multiple kernel-based approaches are investigated, including radial, linear, sigmoid, and polynomial functions, and their performance is analyzed. The proposed improved CGAN coupled with deep SVM outperforms in terms of sensitivity, specificity, and area under the curve when compared with solutions from the existing literature.