Simulations to Teach Science Subjects: Connections Among Students' Engagement, Self-Confidence, Satisfaction, and Learning Styles

Enhancing complex bioprocess learning through simulation technology and hybrid teaching: A case study in university education

The utilization of computer simulators in university education is progressively being embraced to offer students a practical exposure to industrial bioprocesses. Bioreactor computer simulators hold various advantages over conventional laboratory experiments, such as cost-effectiveness and enhanced safety. The research objective is to assess the effectiveness of integrating bioreactor computer simulators into hybrid teaching to promote active and collaborative learning experiences and evaluate their impact on student participation and understanding. A hybrid strategy combining synchronous, face-to-face, and online teaching has been implemented to enhance the teaching-learning processes in the Industrial Bioprocesses course for Biochemistry students. The simulation software BIOSTAT®T Yeast was used. This software models the production of ethanol with Saccharomyces cerevisiae through batch cultivation and the determination of the kLa value of a bioreactor. In the first simulation activity, students analyzed the software response based on parameter values input by the instructor, while in the second simulation activity, students autonomously used the computer simulator under the primary oversight of the instructor. The survey results indicate that the pedagogical innovation was positively received and significantly motivating for the students. Comparing student satisfaction surveys between the two simulation activities suggests that fostering student autonomy and engagement through simulation technology can improve satisfaction and learning outcomes in bioprocess education.

The Relationship Among Students' Learning Styles, Health Sciences Colleges, and Grade Point Average (GPA)

INTRODUCTION

Learning styles are an increasingly important area in education, affecting different aspects of the learning arena. They can predict how students might process information and solve learning problems differently even when engaged in the same learning activities.

PURPOSE

This study aimed to investigated the relationship among health sciences students' learning styles, college majors, and grade point averages (GPAs). A total of 247 male students belonging to King Saud bin Abdulaziz University at Riyadh were chosen intentionally for this study, which employed a quantitative procedure for collecting and analysing data.

METHODS

The study used a survey research design, and data were obtained from the Perceptual Learning Style Preference Questionnaire (PLSPQ), which the students had to answer online. The collected data were analysed using the Statistical Package for the Social Sciences (SPSS 16). Descriptive analysis methods - such as means, standard deviations, frequency counts, and correlations - were employed.

RESULTS

The results indicated that the students demonstrated a range of learning style preferences. The most frequently preferred style was the auditory learning style, followed by the kinaesthetic and individual learning styles. The least preferred style was group learning. The results also showed significant differences in the students' learning styles across colleges - with preferences towards the auditory, individual, and group learning styles - and insignificant differences for the visual preference, kinaesthetic, and tactile preference learning styles. Finally, the relationship between learning style and GPA was only positive with the individual learning style and negative with the group learning style.

CONCLUSION

These findings support the notion that the total learning environment affects students' learning styles and suggest several courses of action for students, teachers, and policymakers.

A study on the blended learning effects on students majoring in preschool education in the post-pandemic era: An example of a research-method course in a Chinese university

The world has gradually entered the post-pandemic era. Although the pandemic has been slowing down, it still has a strong impact on the education scene. Thus, how to provide students with an effective and flexible learning style is currently an important educational issue. This study focused on the implementation of effective teaching to improve the learning effects based on these special circumstances. To ensure a realistic teaching situation, an experiment of blended learning was conducted in a university in the Guangxi Zhuang Autonomous Region of China for a short-term study, based on the consideration of pandemic supervision and control. In this experiment, a single-group quasi-experimental design method, using the extended O-PIRTATD/S model, was adopted in a research-method course designed for students majoring in preschool education. This research-method course was an 8-week flipped course, where the first 4 weeks were online teaching and the last 4 weeks were taught offline, thus combining as a blended learning course. A total of 115 active participants were recruited for this study. Based on the theoretical framework of the belief-action-outcome (BAO) model, five research hypotheses were proposed with the aim of constructing a learning behavior pattern based on cognitive beliefs which could be verified by structural equation modeling. The results of the study were concluded as follows: 1. Academic self-efficacy had a positive impact on learning engagement, but had a negative impact on cognitive load; 2. Cognitive load did not have a significant impact on learning engagement; 3. Learning engagement had a positive impact on the enhancement of academic self-confidence; and 4. Cognitive load had a negative impact on the enhancement of academic self-confidence.