Template-Type: ReDIF-Article 1.0 Author-Name: Tatiana Lukovenko Author-X-Name-First: Tatiana Author-X-Name-Last: Lukovenko Author-Name: Nikolay Sorokin Author-X-Name-First: Nikolay Author-X-Name-Last: Sorokin Author-Name: Valentina Kirillova Author-X-Name-First: Valentina Author-X-Name-Last: Kirillova Author-Name: Oleg Shakhmatov Author-X-Name-First: Oleg Author-X-Name-Last: Shakhmatov Title: The development of a methodology for assessing inclusive practices in higher education Abstract: The aim of this study is to develop and validate a multi-level methodology for assessing inclusive practices in educational institutions, with a focus on enhancing teacher qualifications. The research methodology incorporated both quantitative and qualitative approaches. Statistical methods, including the t-test, were employed to evaluate the significance of changes before and after the program's implementation. Qualitative analysis was conducted using semi-structured interviews with students and teachers. The research results demonstrated a significant improvement in the level of teacher preparedness in the field of inclusive education. Confidence in the use of inclusive methods increased by 30%, while knowledge of adapted educational materials improved by 28%. The availability of infrastructure and technologies also saw a 30% increase. The practical significance of the study lies in the fact that the developed assessment methodology can be applied in educational institutions to improve the effectiveness of inclusive programs. Journal: Int. J. of Innovation and Learning Pages: 19-47 Issue: 1 Volume: 39 Year: 2026 Keywords: accessibility of educational resources; assessment of inclusive practices; disability; inclusion; students with disabilities; teaching methodology. File-URL: http://www.inderscience.com/link.php?id=150298 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:1:p:19-47 Template-Type: ReDIF-Article 1.0 Author-Name: Wanmei Wang Author-X-Name-First: Wanmei Author-X-Name-Last: Wang Author-Name: Siti Mariam Abdullah Author-X-Name-First: Siti Mariam Author-X-Name-Last: Abdullah Author-Name: Chin-Hong Puah Author-X-Name-First: Chin-Hong Author-X-Name-Last: Puah Title: Exploring the influence of flipped classroom pedagogy on student achievement and engagement Abstract: This study evaluates the impact of the flipped classroom on learning outcomes among first-year management students in five vocational colleges in Anhui Province, China. A quasi-experimental design was used, with 1,000 students divided into flipped classroom (experimental) and traditional teaching (control) groups. The study assessed academic achievement, successful intelligence, and learning attitudes, while also exploring the moderating role of cognitive style. Results showed that flipped classroom students outperformed traditional learners, with significant gains in academic achievement, successful intelligence, and learning attitudes. Cognitive style did not moderate the flipped classroom's effectiveness, indicating its broad applicability. The findings suggest that flipped classrooms can enhance student performance and offer valuable insights for optimising teaching strategies in vocational education. Journal: Int. J. of Innovation and Learning Pages: 1-18 Issue: 1 Volume: 39 Year: 2026 Keywords: flipped classroom; learning performance; management courses; vocational and technical colleges; cognitive style; successful intelligence. File-URL: http://www.inderscience.com/link.php?id=150299 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:1:p:1-18 Template-Type: ReDIF-Article 1.0 Author-Name: Nasir Mustafa Author-X-Name-First: Nasir Author-X-Name-Last: Mustafa Author-Name: Hina Zahoor Author-X-Name-First: Hina Author-X-Name-Last: Zahoor Author-Name: Rehab El Gamil Author-X-Name-First: Rehab El Author-X-Name-Last: Gamil Author-Name: K.M. Ashifa Author-X-Name-First: K.M. Author-X-Name-Last: Ashifa Author-Name: Mehdi Safaei Author-X-Name-First: Mehdi Author-X-Name-Last: Safaei Title: Empowering future caregivers: the role of self-leadership in reducing stress among nursing students Abstract: Self-leadership skills help nursing students manage stress. Self-leadership development revolves around task motivation, constructive cognition, and behaviour awareness and volition. Students overcome challenges and provide exceptional treatment by being motivated to fulfil clinical and academic tasks. Clinically, constructive cognition aids critical thinking, decision-making, and adaptation. For professionalism and stress management, behaviour awareness and volition require self-regulation. This skill helps students balance personal and academic obligations, reducing stress and improving performance. Self-leadership and stress perception in nursing students across academic years were examined in this study. The study sampled 169 nursing students using basic random selection. Students had moderate task motivation and constructive cognition, but behaviour awareness and volition varied. This suggests that some nursing students are self-leaders and others are not. Self-leadership skills, stress management seminars, positive reframing tactics, and a supportive environment are needed to boost nursing students' resilience and well-being, according to the research. Journal: Int. J. of Innovation and Learning Pages: 74-103 Issue: 1 Volume: 39 Year: 2026 Keywords: nursing students; self-leadership; perceived stress; psychological well-being; task motivation; constructive cognition; behaviour awareness and volition; resilience; stress management. File-URL: http://www.inderscience.com/link.php?id=150300 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:1:p:74-103 Template-Type: ReDIF-Article 1.0 Author-Name: Shikha Chahar Author-X-Name-First: Shikha Author-X-Name-Last: Chahar Author-Name: Gunjan Tripathi Author-X-Name-First: Gunjan Author-X-Name-Last: Tripathi Title: Mapping the pathways to innovation in PhD scholars: the interplay of university structure, academic leadership and psychological capital Abstract: This study investigates the impact of university structure, academic leadership, and psychological capital on the innovation capabilities of PhD scholars in Haryana's state, central, deemed, and private universities. Using a quantitative survey method, data were gathered via online (204 responses) and offline (210 responses) questionnaires rated on a 1 to 5 Likert scale. Participants were chosen through stratified random sampling. Data analysis was performed with PLS-SEM 4 (partial least squares structural equation modelling) after validating and confirming the reliability of the questionnaires. Validity was determined by correlating individual question items with the overall item score for each variable. The analysis addressed the research questions and tested the hypotheses. Results highlight that psychological capital has the most substantial and statistically significant effect on enhancing the innovation capacity of PhD scholars. Journal: Int. J. of Innovation and Learning Pages: 48-73 Issue: 1 Volume: 39 Year: 2026 Keywords: PLS-SEM; academic leadership; university structure; psychological capital; PsyCap; innovation; PhD scholar. File-URL: http://www.inderscience.com/link.php?id=150301 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:1:p:48-73 Template-Type: ReDIF-Article 1.0 Author-Name: Thuy Dung Pham Thi Author-X-Name-First: Thuy Dung Pham Author-X-Name-Last: Thi Author-Name: Van Kien Pham Author-X-Name-First: Van Kien Author-X-Name-Last: Pham Author-Name: Nam Tien Duong Author-X-Name-First: Nam Tien Author-X-Name-Last: Duong Title: Do employees intend to use artificial intelligence? An empirical study in Vietnam Abstract: This study examines the factors influencing employees' acceptance of AI systems by integrating the technology acceptance model (TAM) and task-technology fit (TTF) model. Data were collected from 527 employees through a survey, and structural equation modelling (SEM) was used to test the hypotheses. Results indicate that perceived ease of use (PEOU), driven by task-technology fit, AI self-efficacy, and voluntariness, plays a key role in AI adoption. Surprisingly, perceived usefulness (PU) did not significantly impact adoption intentions, likely due to the bureaucratic culture of these enterprises. While AI self-efficacy positively influenced PEOU, it negatively affected PU. External factors such as supervisor influence were more significant than peer influence in shaping perceptions of AI systems. The findings suggest that voluntariness and organisational factors are crucial to successful AI adoption, offering insights for improving AI integration in similar contexts. Journal: Int. J. of Innovation and Learning Pages: 104-129 Issue: 1 Volume: 39 Year: 2026 Keywords: artificial intelligence; AI; technology acceptance model; TAM; task-technology fit; TTF; organisational learning; adoption; Vietnam. File-URL: http://www.inderscience.com/link.php?id=150302 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:1:p:104-129 Template-Type: ReDIF-Article 1.0 Author-Name: Eduardo Carlos Dittmar Author-X-Name-First: Eduardo Carlos Author-X-Name-Last: Dittmar Author-Name: David López Jiménez Author-X-Name-First: David López Author-X-Name-Last: Jiménez Author-Name: Jenny Patricia Vargas Portillo Author-X-Name-First: Jenny Patricia Vargas Author-X-Name-Last: Portillo Title: From barriers to bridges: an interdisciplinary study of disability integration challenges and solutions in higher learning Abstract: The integration of individuals with disabilities and special educational needs into higher education represents a complex and multifaceted global challenge that demands comprehensive solutions. This research provides an analysis of university students' perceptions regarding their inclusion within academic environments, examining crucial aspects including physical accessibility measures, curricular adaptation strategies, and the quality of teaching support received. Our findings reveal that, despite notable progress in educational inclusion initiatives, substantial barriers continue to persist, particularly in the realms of infrastructure development and faculty preparedness. Through extensive analysis, we identify key areas requiring reinforcement to ensure an equitable and inclusive university experience. Based on these insights, we present detailed recommendations designed to assist higher education institutions in creating more accessible environments that effectively address the diverse needs of students with disabilities. Journal: Int. J. of Innovation and Learning Pages: 156-177 Issue: 2 Volume: 39 Year: 2026 Keywords: inclusive higher education; institutional culture; disabilities; universal design for learning; curricular adaptations; physical accessibility; self-regulation. File-URL: http://www.inderscience.com/link.php?id=151463 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:2:p:156-177 Template-Type: ReDIF-Article 1.0 Author-Name: Youssef Saida Author-X-Name-First: Youssef Author-X-Name-Last: Saida Author-Name: Anouar Hasbaoui Author-X-Name-First: Anouar Author-X-Name-Last: Hasbaoui Author-Name: Tariq Rachid Author-X-Name-First: Tariq Author-X-Name-Last: Rachid Title: Predicting students' technology-based entrepreneurship approach: students' personality traits' effect Abstract: Academic researchers as well as practitioners are becoming increasingly interested in student entrepreneurship. As a matter of fact, it focuses on students' perceptions and choices relating to new technology-based ventures. Based on the student technology-based entrepreneurship literature, this study examines the possibility of predicting engineering student perception under specific entrepreneurial approaches. Empirically, we use a sample of 140 engineering student entrepreneurs who intend to initiate an innovative technological venture. Therefore, we identify a particular configuration depending on students' entrepreneurship competencies under their entrepreneurial approach choice. Based on perception and intention, this configuration predicts students' entrepreneurial approach choice. Journal: Int. J. of Innovation and Learning Pages: 131-155 Issue: 2 Volume: 39 Year: 2026 Keywords: student entrepreneurship; technology-based entrepreneurship; effectuation; causation; discriminant analysis. File-URL: http://www.inderscience.com/link.php?id=151464 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:2:p:131-155 Template-Type: ReDIF-Article 1.0 Author-Name: Ismail Moumouni-Moussa Author-X-Name-First: Ismail Author-X-Name-Last: Moumouni-Moussa Author-Name: Latifou Idrissou Author-X-Name-First: Latifou Author-X-Name-Last: Idrissou Author-Name: Mori W. Gouroubera Author-X-Name-First: Mori W. Author-X-Name-Last: Gouroubera Author-Name: Faridah Dosso Author-X-Name-First: Faridah Author-X-Name-Last: Dosso Title: How do innovation frames drive technological changes in smallholder farms in Benin? Abstract: This study investigates the role of innovation frames in influencing farmers' innovative behaviour through two independent case studies on sustainable land management in Benin. We hypothesised that innovation frames mediate the effects of demographic factors on technology adoption. Using moderator effect analysis via the medmod R package, we examined the moderating impacts of these demographic variables through multiple regression analysis. Path analysis was conducted with the Lavaan R package to validate the proposed models, assessing the interplay between socio-demographic variables, innovation frames, and adoption behaviours. An innovation frame encompasses the beliefs, values, and social representations that guide decision-making within farming contexts. Our findings indicate that innovation frames significantly predict innovative behaviour and mediate the influence of socio-economic attributes on farmers' innovation, highlighting the importance of cognitive processes over structural factors. We propose a novel measurement scale for the innovation frame, which can be applied and validated in various contexts. Thus, understanding the mechanisms of innovation frames offers valuable insights for future agricultural extension projects. Journal: Int. J. of Innovation and Learning Pages: 178-201 Issue: 2 Volume: 39 Year: 2026 Keywords: agricultural extension; innovation frame development; innovative practice and behaviour; innovation frame measurement scale; IFMS; farmer innovation; Benin. File-URL: http://www.inderscience.com/link.php?id=151465 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:2:p:178-201 Template-Type: ReDIF-Article 1.0 Author-Name: Seyed Mohammad Javad Razavi Author-X-Name-First: Seyed Mohammad Javad Author-X-Name-Last: Razavi Author-Name: Haywantee Ramkissoon Author-X-Name-First: Haywantee Author-X-Name-Last: Ramkissoon Title: The impact of entrepreneurial orientation on performance in sport firms: the mediating role of knowledge sharing and product innovation capacity Abstract: Using product innovation capacity to customers gives corporations a competitive advantage in the market. This research examined a structural model of entrepreneurial orientation (EO) and knowledge sharing (KS) as the drivers of product innovation capacity (PIC), and ultimately assessed the impact of PIC on corporate performance (CP) in sport firms. The theoretical model of the study was tested using data collected from 401 employees from 58 sport firms in Iran. Our findings show that EO and KS had a significant effect on PIC. In addition, EO, KS, and PIC activities significantly influenced CP. Our study contributes to the ongoing development of the proposed theories in entrepreneurship, innovation, and CP in suggesting a combination of data envelopment analysis (DEA) and structural equation modelling (SEM) approaches. This has important implications for industrial authorities in developing sustainable and successful sectors of sport firms. Journal: Int. J. of Innovation and Learning Pages: 221-241 Issue: 2 Volume: 39 Year: 2026 Keywords: corporate performance; entrepreneurial orientation; knowledge sharing; learning; product innovation capacity; sport firms. File-URL: http://www.inderscience.com/link.php?id=151466 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:2:p:221-241 Template-Type: ReDIF-Article 1.0 Author-Name: Kapil Shukla Author-X-Name-First: Kapil Author-X-Name-Last: Shukla Author-Name: Parag Shukla Author-X-Name-First: Parag Author-X-Name-Last: Shukla Title: Exploiting advanced machine learning techniques for predictive analysis of novice learners' programming performance Abstract: Programming education is evolving quickly, thus new methods are needed to help beginners learn and grow. This study predicts novice learners' performance utilising sophisticated machine learning methods including K-nearest neighbours, decision tree, random forest, and XGBoost. We assessed these models on accuracy, precision, recall, and F1-score utilising 2,111 samples, 11 beginning features, and derived attributes including correctness, error, performance, and final choice. Ensemble models like random forest and XGBoost capture complex data patterns better since they generalise robustly. Simple KNN and decision tree ensembles provide a foundation but have weak feature interactions and class distributions. Performance and prediction are improved via hyperparameter adjustment and feature engineering in this research. This research personalises/adapts novice learners' learning aids using predictive models. Educational data mining is growing, and machine learning may revolutionise programming education. This dataset may be expanded, environmental variables researched, or improved using deep learning. Journal: Int. J. of Innovation and Learning Pages: 242-255 Issue: 2 Volume: 39 Year: 2026 Keywords: machine learning; ML; performance prediction; supervised learning algorithms; novice learner programming performance. File-URL: http://www.inderscience.com/link.php?id=151467 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:2:p:242-255 Template-Type: ReDIF-Article 1.0 Author-Name: Chin-Wen Chien Author-X-Name-First: Chin-Wen Author-X-Name-Last: Chien Author-Name: Ssu-Hsien Yu Author-X-Name-First: Ssu-Hsien Author-X-Name-Last: Yu Title: Influence of integration of assessment as learning into disaster prevention education on Taiwanese sixth graders' knowledge and word recognition Abstract: The case study explored the influence of the integration of assessment as learning into disaster prevention education on 25 sixth graders' disaster prevention knowledge and word recognition in an elementary school scenario classroom of disaster prevention in the northwest Taiwan. The thematic analysis of qualitative data (self-and peer evaluation forms, observations, and reflection notes) and descriptive analysis of the pre-test and post-test reached the findings. First, sixth graders' disaster prevention knowledge was increased through assessment as learning including the hands-on activities (simulation activity, sorting games) and self-and peer evaluations. Second, the technology-assisted language learning (Wordwall, Quizlet) as the assessment as learning enabled the sixth graders to gain word knowledge on spoken forms, word forms, and meanings of the target vocabulary on disaster education. Based on the findings of the study, a framework on effective integration of assessment as learning into disaster prevention education were proposed in terms of instructional strategies and tools. Journal: Int. J. of Innovation and Learning Pages: 202-220 Issue: 2 Volume: 39 Year: 2026 Keywords: assessment as learning; disaster prevention education; disaster prevention knowledge; English situated learning; word recognition. File-URL: http://www.inderscience.com/link.php?id=151468 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijilea:v:39:y:2026:i:2:p:202-220