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    A quasi-experimental study of lab rotation integrated with generative AI and peer code review model to enhance students’ critical thinking and academic resilience in introductory programming
    (2026-01-01)
    Zheng, Weidong
    ;
    Ratanaolarn, Thanin
    ;
    Sriwisathiyakun, Kanyarat
    Lab rotation provides a dynamic and interactive learning environment; generative artificial intelligence can help novices overcome learning challenges; and peer code review offers a collaborative learning environment. This study investigates how incorporating these designs into a new instructional model can enhance students’ critical thinking and academic resilience. A total of 83 first-year college students participated in the experiment, which lasted 6 weeks. The students were from two classes, majored in Educational Technology, and were enrolled in an introductory programming course titled ‘C Programming’. Class 1 was randomly selected as the control group and Class 2 as the experimental group. The experimental group and the control group were taught by the same teacher. The control group employed the traditional programming teaching method, whereas the experimental group utilized a new instructional model comprising four learning stations: instruction, lab, teacher-led, and review stations. All participants took a critical thinking test and an academic resilience questionnaire before and after the experiment. The results showed no significant difference in critical thinking and academic resilience between the pretest groups. In contrast, the post-test results showed that the experimental group’s critical thinking and academic resilience significantly outperformed those of the control group. The findings highlight the effectiveness of the instructional model on students’ critical thinking and academic resilience. This study is the first to integrate lab rotation, generative artificial intelligence, and peer code review into the design of a new instructional model for introductory programming and to demonstrate its effectiveness in enhancing students’ critical thinking and academic resilience. This study can serve as a reference for future studies.
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    Effects of Cloud-based Gamified Instruction Integrating Peer Assessment on Primary Students' English Writing and Critical Thinking
    (2025-01-01)
    Eang, Norphealey
    ;
    Petsangsri, Sirirat
    ;
    Morris, John
    English writing and critical thinking are not only fundamental to academic success but also play a crucial role for the holistic development of primary students. This study investigated the effects of a cloud-based gamified instruction integrating peer assessment on primary student English writing and critical thinking. A pre- and post-test with a delayed pos-test research design was used; thirty-five grade sixth students participated in the study. The research instruments included writing and critical thinking tests. The data were analyzed using repeated measures ANOVA. There was a significant improvement writing from a pre-test through and post-test and delayed post-test (F = 853.76, p < 0.001). The F-value indicated a significant difference between pre- and post-test, but there was little difference between post- and delayed post-tests. The high effect size (η = 0.96) confirmed the effectiveness of the intervention on writing. Similarly, analysis also indicated a significant effect the intervention on the critical thinking improvement over time (F = 632.89, p < 0.001). The high effect size (η = 0.95) emphasized the practical significance of the improvements across the three time points. This confirmed the positive effects of the cloud-based gamified instructional model on writing and critical thinking.
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    Promoting Undergraduate Pre-Service Teacher Computational Thinking
    (2023-02-01)
    Pimdee, Paitoon
    ;
    Pipitgool, Sawitree
    The study aimed to evaluate the results of a computational thinking (CompThink) and learning management model using a flipped classroom (FC), combined with critical thinking problem-solving (CTPS) activities. The sample consisted of 57 thirdyear Thai computer studies (CS) pre-service teachers (PST) (29 = control group, 28 = experimental group). The mean scores of CompThink and Academic Achievement were analysed using a One-way MANOVA. Post-course testing revealed that learning achievement and CompThink were higher than students studying using traditional methods.
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    A Problem-Based Learning (PBL) and Teaching Model using a Cloud-Based Constructivist Learning Environment to Enhance Thai Undergraduate Creative Thinking and Digital Media Skills
    (2021-01-01)
    Srikan, Parawee
    ;
    Pimdee, Paitoon
    ;
    Leekitchwatana, Punnee
    ;
    Narabin, Akan
    The objective of this research was to develop a Problem-Based Learning (PBL) Model which used a cloud-based constructivist learning environment to enhance Thai undergraduate creative thinking and digital media skills. Initially using a mixed-methods approach, a five-step model was conceptualized. Thereafter, a panel of five academic experts gave input into the model’s design from which the model was expanded to include six related learning environments. The instrument used in the research was a problem-based assessment form. Data collection was carried out utilizing group chats and analyzed using descriptive statistics including the mean and standard deviation. The results of the study revealed that the initial model contained five steps including (1) problem identification, (2) problem analysis, (3) research, (4) presentations, and (5) summary and evaluation, which is integrated into the model’s additional six learning environment elements. These six learning environments were (1) problem-based, (2) resources, (3) cognitive tools, (4) collaboration, (5) scaffolding, and finally, (6) coaching. When applying the proposed model and related environments, there was a consensus from the experts that the model had excellent suitability and can be used as a model for teaching and learning at the bachelor’s degree level.