STEM stands for Science, Technology, Engineering and Mathematics integrated to be an educational management approach. It also enhances students’ thirteen science process skills including observing, classifying, measuring, using numbers, using space/time relationship, inferring, predicting, communicating, identifying and controlling variables, defining variables operationally, formulating hypotheses, experimenting, interpreting data and drawing conclusion. These are divided into two groups: basic process skills consisting of the first eight processes and integrated process skills consisting of the last five processes. Nowadays, there are plenty of studies concerning the STEM Education effected on students’ science achievements in Thailand but not many focusing on science process skills. Therefore, the objective of this research is to synthesize the STEM Education effected on Thai students’ science process skills. The variables consist of two sets which are the description of research, and the effect sizes of research. The tool for collecting data is the recording data form for research synthesis. Data were analysed by frequency, percentage and meta-analysis. The results showed that 1) the description of research found that from 2010 until 2019 research referring to students’ science process skills on STEM Education published ten reports, mostly in 2016 and 2018 (40%), Maha Sarakham University and Rajabhat Maha Sarakham University equally usually produced the research referring to the students’ science process skills on STEM Education (30%), most researchers from the Office of the Basic Education Organization produced the research (90%), most were female researchers (80%), the research type was thesis in master degree (100%), the objective commonly found was to compare (44%), most of the research design found was in experimental design using One Group Pretest - Posttest Design (80%), always found sampling methods using cluster random samplings (50%), sample found mainly was students (100%), samples’ research level was equally both lower and upper secondary (50%),used largely in science (50%) and repeated analyzing method found was descriptive statistics (27.02%), and most of the science process skills were integrated skills (60%). 2) The effect sizes (d) of STEM Education effected on students’ science process skills was 1.69. The Standard Deviation (Sd) was 1.99. This means that the STEM Education can influence students’ science process skills.

The research aimed to 1) to develop the lesson plans using the research-based learning integrated with cognitive training for grade 9 students and 2) to compare the students’ critical thinking skill between being taught by researched-based learning integrated with cognitive training and by traditional teaching method. The research samples using in this experimental research were grade 9 students of Phayamengrai School, Chiang Rai, Thailand in the academic year 2019 consisting of two samples: the experimental group taught by using research-based learning integrated with cognitive training was 30 students and the control group was 30 students taught by using the traditional lesson, selected by using cluster random sampling. The research instruments were the eight lesson plans focusing on earth and space science spending teaching 12 hours with the high reliability coefficient of 0.86 and the critical thinking skill test with the validity of 0.808. The data were analyzed by using mean, standard deviation and the MANOVA. The finding was the students’ critical thinking skills between two groups were significantly different. Obviously, the students in the experiment condition improved slightly more than those in traditional condition.

The purpose of this research was to validate the assessing interest in STEM content scale. The sample in this research was 552 students in upper secondary school at Fangchanupathum School, Chiang Mai, Thailand, who validated the assessing interest in STEM content scale, which used a rating scale of four factors consisting of (1) science, (2) mathematics, (3) laboratorial skills, and (4) technology and 20 items. Confirmatory factor analysis was used to confirm the construct validity of the assessing interest in STEM content scale adapted from the study by Tyler-Wood, Knezek, and Christensen. The results confirmed that the construct validity of this assessing interest in STEM content scale had an excellent fit. They showed that the fitness index of validating the assessing interest in STEM content scale was X2 statistic of 163.679 (degree of freedom = 141, P value = 0.0928) and the X2/df ratio having a value of 1.160 indicating a good fit. The comparative fit index (CFI) was 0.991, and Tucker–Lewis coefficient (TLI) was 0.988. The root mean square error approximation (RMSEA) was 0.017. The standardized root mean residual (SRMR) was 0.047. All the indicators indicated that there was a good fit between the empirical data and the hypothetical measurement model.