ETR&D

Spirituality and art have been recognized by educators as crucial factors affecting students’ learning outcomes. By taking these two factors into account, this study proposed the project-based STREAM (Science, Technology, Religion, Engineering, Art, and Mathematics) approach to improving students’ learning achievement, 21st-century competencies, computational thinking, and project outcomes in a science course in response to several challenges encountered by conventional STEM education in addressing global issues. A quasi-experimental design was employed, involving 79 participants distributed across three groups: a project-based STEM approach, a project-based STEAM approach, and a project-based STREAM approach. The experimental results showed that students who learned with the STREAM and STEAM approaches performed significantly better on learning achievement, complex problem-solving, creativity, and project quality than those who learned with the STEM approach. Students who learned with the STREAM approach had higher meta-cognition and communication than those who learned with the STEAM and STEM approaches. However, there was no significant difference between students who learned with the STREAM, STEAM, and STEM approaches in the collaboration aspect. Students who learned with the STREAM and STEM approaches had significantly better computational thinking than those who learned with the STEAM approach. Additionally, the integration of the religious aspect cultivated a heightened sense of care for their peers and the environment, as well as respect for differing opinions. The findings could be a valuable reference and provide recommendations for teachers, instructors, and researchers to develop the STREAM curriculum.

With the advancement of technology and the internet, individuals offload their cognitive demands onto the internet to access information and supplement their cognitive capacity. However, heavy reliance on the internet often produces undesirable consequences such as poor metacognitive judgments and memory retention. This study investigated whether these negative effects can be mitigated by making learners more cognitively mindful of their search activities. A total of 104 undergraduate students were randomly assigned to two conditions. In the thinking-before-googling condition, participants had to first generate or guess answers to three brainstorming questions about modern pentathlon, a topic unfamiliar to most college students, before searching to find answers to 15 more specific problems on it. In the googling-only condition, participants were instead shown a keyword slide and immediately started searching the internet for the same 15 problems. The thinking-before-googling group demonstrated significantly higher pre-search curiosity and recall performance compared to the googling-only group. However, no significant group differences emerged in cognitive self-esteem and the estimation of performance and study time. Both groups expressed significantly higher interest in the topic after the search compared to before. Curiosity is discussed as the potential psychological mechanism underlying the benefits of the thinking-before-googling group.

Artificial intelligence (AI) has ushered in an era where Computational Thinking (CT) emerges as a crucial skill. This interconnected, data-driven landscape necessitates deeper CT skills, enabling students to effectively navigate both the opportunities and challenges presented by AI. The flipped classroom model has gained widespread acceptance in CT education owing to its adaptability, interactivity, and personalization. However conventional implementations of the flipped classroom model still face significant limitations such as insufficient student autonomy in learning processes and a need for enhanced quality of classroom interactions. Addressing these, our study introduces a synergy of flipped classrooms with AI, termed the Flipped Classroom with AI Learning Companion teaching model (FC-AIC). This model aims to enhance high school students CT, self-efficacy, and motivational levels compared to traditional flipped classrooms (FC). Our quasi-experimental research involved 60 first-year high school students from central China, divided into control (FC) and experimental (FCAIC) groups over eight weeks. Students completed a questionnaire to self-appraise their CT, self-efficacy, and motivation at pre-intervention and post-intervention stages. Results indicate that FC-AIC significantly boosts student self-perceptions of their own CT skills, specifically in problem-solving and creativity, and improves perceived self-efficacy and intrinsic motivation without notably impacting perceived extrinsic motivation. This investigation highlights how integrating flipped classrooms with AI technologies can synergistically enhance educational paradigms offering new insights about practical innovations for intelligent educational frameworks.

The current study examined the effects of using a commercially available computer program on the early literacy skills of preschool children and the relationship between fidelity and improvement in literacy skills. Parents and their preschool children were recruited to voluntarily participate in an educational app study. Forty-two preschool children were randomly assigned to an intervention group, which used OgStar Early Reader, or a control group, which used IXL Math. The recommendation was to use the program for 15–20 min per day for five days a week over eight weeks in the summer prior to kindergarten. Three Dynamic Indicators of Basic Early Literacy Skills (DIBELS) measures were used to assess literacy skills: Letter Naming Fluency (LNF), Phoneme Segmentation Fluency (PSF), and Nonsense Word Fluency (NWF). A total of 33 children completed posttests. The intervention group scored statistically significantly higher on LNF posttests (g = 0.41, p = .025) and NWF- correct letter sounds posttests (g = 0.52, p = .009) over the control group. No statistically significant differences were found between the groups for PSF (g = 0.19, p = .458) or NWF- words recoded correctly (g = 0.61, p = .057). Overall, children completed between seven and 131 lesson segments during the study, suggesting fidelity to the planned intervention varied across participants. The number of lessons completed was moderately related to participant gains on LNF and NWF (r = 0.31–0.38). These findings provide some initial support that the use of the early reader app may improve alphabetic knowledge for preschool children.

The study investigates the latent profiles of learners based on motivated self-directed learning (MSDL) and collaborative learning (CL) within an e-learning environment, focusing on how peer-to-peer confirmation is linked to learners' engagement and learning outcomes. Grounded in Self-Determination Theory, and drawing on empirical insights from recent benchmark studies, the research identifies two distinct learner profiles: one with low MSDL and CL engagement and the other with high engagement in self-directed and collaborative learning, including ICT-based activities. Logistic regression analysis reveals that peer-to-peer confirmation, particularly individual attention, predicts class membership, though the overall explanatory power is limited. Additionally, moderation analysis demonstrates that while peer assistance can support engagement, excessive support may diminish the benefits of self-directed learning on subjective achievement. The findings underline the importance of adapting social support strategies to different learner profiles, highlighting the motivational function of peer confirmation in fostering autonomy, relatedness, and competence. This study provides insights on how to optimise e-learning environments by balancing external support and learner agency, and offers practical recommendations for digital pedagogy design.

As a part of the Erasmus + funded project Super Cyber Kids, we have devised a skills framework to enhance the protection of children aged between 8 and 13 years in their Internet and online activities. The framework was developed through a systematic literature review, followed by a two-round Delphi study for validation. During this process, we identified N = 40 relevant studies and obtained validation from up to N = 18 professionals in cybersecurity, education, and cybersecurity education during the Delphi study. The resulting framework is presented as a matrix and offers a comprehensive set of skills aligned with the NIST (National Initiative for Cybersecurity Education) cybersecurity framework, specifically tailored to promote cybersecurity awareness among children in this age group.

Virtual scientific inquiry (VSI) environments are critical information technologies for improving the quality of education. However, the issue of students’ cognitive-affective profiles has received little attention, making it difficult to promote both cognitive achievements and positive affective factors. Based on the log-files and self-report data from 569 students, our study proposes a solution that integrates both theoretical underpinnings (including Cognitive Constructivism, Self-efficacy Theory, Flow Theory, Gender Schema Theory, and Control of Variable Strategy) and AI algorithms-driven analyses (i.e., unsupervised machine learning, pattern mining, and statistical analyses) to address this issue. Specifically, our study identifies two profiles: 350 thriving students and 219 struggling students, through the analysis of inquiry achievements, self-efficacy, and flow experience. Moreover, we found no significant gender difference between the two cognitive-affective profiles. Finally, we found that while thriving and struggling students shared similar foundational characteristics, thriving students exhibited more strategic behavioral frequencies and patterns. These findings can advance understanding of theoretical underpinnings and guide targeted support for students in VSI.