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This study explored the impact of interactive e-books on the viewing behaviors of children in science demonstrations at museums. To conduct this study, an interactive e-book on a pendulum experiment was developed and integrated into a physical science demonstration at a museum. Two scientific demonstrations were conducted in this study. The first demonstration was conducted using the conventional science demonstration method, without integrating the interactive e-book into the demonstration. The second was a science demonstration with an integrated interactive e-book. The study analyzed and compared the children's learning motivation, viewing behaviors, and knowledge gained in both demonstrations. The results showed that the different science demonstrations did not significantly affect the children's current knowledge gain or learning motivation. However, the sequence analysis revealed that in the conventional science demonstration without the interactive e-book, children were more engaged in observing the science demonstration, experiment, and instrument operation and interacting with neighboring viewers. In contrast, in the science demonstration with the integration of the interactive e-book, children had more physical involvement, including pointing at the answers in the e-book, swinging their arms with the pendulum animation, and nodding when confused about the expected results. In addition, the children who joined the demonstration with the interactive e-book made more attempts to learn about procedural knowledge. These results demonstrated that both learning modes have similar learning effects on children, indicating the feasibility of the two learning modes. Furthermore, the results revealed that children's needs might differ when engaged in different modes of science demonstrations; for example, conventional modes need more support from companions, whereas e-book modes need more children's physical participation.

Self-regulatory learning skills are recognized as an essential factor motivating students to learn. The lack of self-regulatory learning skills could reduce students' learning performance. Therefore, engaging students in making learning plans, executing the plans, and reflecting on their learning remains a challenge for teachers. To address this problem, this study proposes a gamified mobile self-regulated learning approach which provides multiple gamified rewards to motivate students' self-regulatory learning skills. Gamified elements were integrated into students' self-regulated learning stages to guide them in efficiently exploring how to achieve their goals and making deep learning reflections. To investigate the effect of this proposed approach on students' learning outcomes, two classes of students were recruited to conduct the experiment. The learning approach was used by the experimental group (N = 22) while the conventional mobile self-regulated learning approach was used by the control group (N = 22). Both groups of students' performance on the mathematics learning achievement test, SRL learning sheets, and goal-achieving intentions were collected and analyzed. The results showed that the gamification mechanism improved the students' learning achievement as well as their goal-setting and reflection performance. However, the students who used the proposed approach reached similar monitoring performance as those students who learned without gamification. This study confirmed the feasibility of introducing a gamification mechanism into self-regulated learning, and revealed how to apply multiple game elements in instructional activities to enhance students' learning intentions.

In recent years, smart healthcare technologies used to facilitate precision medicine in clinical practice have increasingly become a topic of discussion. Nurses and nurse preceptors are critical professionals in hospitals, and are also the frontline staff using smart healthcare. The purpose of this study was to investigate nurses' and nurse preceptors' perceptions of smart healthcare (including learning motivation, learning attitudes, and personal innovativeness) and the differences in their conceptions of learning in smart healthcare technology contexts. The research findings showed that nurse preceptors had higher mean scores than nurses for learning motivation, learning attitudes, and personal innovativeness in smart healthcare, especially for learning attitudes and personal innovativeness. The nurse preceptors' conceptions of learning in smart healthcare technology contexts were also more diverse than those of nurses. The main differences are that nurses' drawings showed a healthcare setting where learners (both patients and nurses) use computers to connect to cloud services for online visits, and where patients can engage in online health education learning activities via computers or mobile devices. The nurse preceptors' drawings focused on the delivery of nursing knowledge and skills to learners via VR technologies, helping diagnose patients, analyzing medical data, and predicting healthcare through smart healthcare technologies.