Keyword: educational technology

ABSTRACT: Artificial intelligence (AI) has increasingly played an important role in educational development in the digital era. Teachers, therefore, need appropriate knowledge and perceptions regarding the use of such technology in instructional practices. This study aimed to: 1) develop and examine the construct of a scale measuring Thai teachers’ perceptions of the use of artificial intelligence in instructional management, and 2) investigate the level of Thai teachers’ perceptions regarding the use of artificial intelligence in teaching and learning. The research was conducted in two phases. Phase 1 involved instrument validation using Exploratory Factor Analysis with a sample of 353 teachers. Phase 2 examined teachers’ perceptions of the use of artificial intelligence in instructional management with a sample of 298 teachers. Data were analyzed using exploratory factor analysis and descriptive statistics. The findings revealed that teachers’ perceptions of AI in instructional management consisted of several components reflecting different dimensions of technology integration in teaching. Overall, Thai teachers demonstrated a moderate to high level of perception regarding the use of artificial intelligence in instructional practices. The results provide useful implications for promoting the effective integration of artificial intelligence in educational settings.

ABSTRACT: The integration of digital technologies has enhanced language learning by improving access to resources, interaction, and learner autonomy in Rwanda. National Information and Communication Technology initiatives support competence-based education, yet the use of digital tools in classrooms remains uneven. Despite these efforts, many students are not fully engaged or motivated when using digital language learning tools. This study therefore sought to examine students’ perceptions of digital language learning and their influence on academic engagement and motivation in Rwandan secondary schools. A quantitative approach using a cross-sectional explanatory design was adopted. Data were collected from 200 secondary school students in Kamonyi District through a structured questionnaire based on a five-point Likert scale. Descriptive and inferential statistics, including correlation, regression analysis, and Structural Equation Modelling (SEM), were used to analyze relationships among perception, engagement, and motivation. The results revealed that students have highly positive perceptions of digital language learning tools, particularly in enhancing understanding, confidence, and independent learning. Significant positive relationships were found between perception and engagement (r up to 0.66) and between perception and motivation (r = 0.64). Regression analysis showed that perception (β = 0.49) and engagement (β = 0.37) significantly predict motivation, explaining 54% of its variance. SEM findings further confirmed that engagement partially mediates the relationship between perception and motivation. The study concludes that positive student perceptions significantly enhance engagement and motivation in digital language learning. It implies that improving students’ experiences with digital tools is essential for better learning outcomes. The study recommends increased investment in digital infrastructure, enhanced teacher training, and the integration of interactive, learner-centered digital strategies to optimize language learning in Rwandan secondary schools. 

ABSTRACT: Students today learn mathematics in a world full of digital tools and instant access to information, yet many still find the subject difficult and overwhelming. This situation raises important questions about how learning is affected when technology becomes both a support and a source of confusion. The study used a structured, quantitative approach to examine how students experience mathematics in a digital learning environment, drawing on responses from first-year college students collected through a validated questionnaire. The study found that students showed strong engagement with technological and AI-based tools. However, their mathematical competence was weakened by high anxiety, low motivation, and limited confidence. Significant differences across eight dimensions revealed that emotional, environmental, and identity-related factors were the most vulnerable areas, compared to cognitive and technological strengths. These results show that improving mathematical readiness requires not only access to digital resources but also stronger support for students’ emotional well-being and learning environments.

ABSTRACT: Despite growing interest in digital learning tools, limited research has examined how educational memes function as meaning-making resources rather than as general engagement devices. Existing studies often treat memes as informal or motivational content, leaving unclear how students themselves interpret their role in learning and where their educational value begins and ends. This study addresses this gap by examining how undergraduate students perceive and experience educational memes within academic settings. Data were collected through in-depth interviews with a purposively selected group of five (5) students enrolled in higher education courses where memes were used as part of instruction. The transcripts were analyzed using a structured thematic analysis to identify patterns in how students described engagement, understanding, emotional support, and perceived limitations. The findings show that students do not view memes as instructional substitutes but as context-dependent supports that aid comprehension, ease academic pressure, and foster connection when clearly aligned with lesson goals. At the same time, students express clear boundaries regarding overuse, misalignment, and loss of academic focus. These results contribute a student-centered account of how memes operate within formal learning, offering guidance for educators and curriculum designers on when and how culturally familiar digital forms can support learning without weakening instructional depth.

ABSTRACT: This study explores the influence of teacher characteristics on technological self-efficacy within the context of Ghana’s standard-based curriculum. Utilizing an explanatory sequential mixed-method design, surveyed 280 in-service teachers. Quantitatively, the study found teacher-student interaction characteristics and humanistic and justice characteristics as closely dominated teacher characteristics. As well, these dimensions significantly predicted various aspects of teachers’ technological self-efficacy. Qualitatively, the study established how these characteristics are manifested in teachers’ classroom practices, highlighting the importance of interactive methods and empathy in fostering student engagement and technological competence. The findings underscore the need for tailored professional development programs that address varying levels of technological self-efficacy among teachers. The study concludes that enhancing teachers’ technological self-efficacy requires a holistic approach, integrating technical skills with humanistic values to create inclusive and effective learning environments.