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The aim of this research is to describe the impact of implementing an integrated STEAM Project in mobile technology on the Mathematical Reasoning ability of elementary school students and to describe the process of designing an integrated STEAM Project and mobile application. A quantitative descriptive and quasi-experimental research design was employed, with data collection of test (pre-test and post-test), and Questionnaire A pre-test, and post-test was administered to determine the impact of the STEAM Project on students’ reasoning abilities. A sample of 130 fifth grade students, 70 female students, and 60 male students from different elementary schools in Meuraxa District, Aceh Province, Indonesia participated in the research. Results show that an empirical analysis of mobile technology is valid and feasible for use with fifth grade elementary school students. Prior to implementing the STEAM Project, the average pre-test of reasoning ability was 40.44 with a standard deviation of 10.27. After implementation, the average score improved to 84.01 with a standard deviation of 7.31. The results of a Paired Sample Correlation obtained a mathematical reasoning ability score before and after implementation of the STEAM Project of 0.452. The calculations in the N-GAIN test table for the implementation of the STEAM Project on Reasoning Ability found 76 students, or 58.46 %, in the high category, and 54 students, or 41.54%, in the medium category. The results of this study provide information, and recommendations for the development of learning models that could improve reasoning abilities. The project could be used as a reference template to accelerate the recovery of quality education during challenging times such as a pandemic

This research aims to: (1) develop a fesible Android-based comic media of Gajah Mungkur Dam, and (2) reveal the effectiveness of the developed comic media in improving mathematical representation and critical thinking abilities on the materials of work and energy. The research subjects are senior high school students, consisting of 262 students for the empirical testing, 36 students for the limited trial, and 72 students for the field trial. This research is research and development applying the 4D model, consisting the stages of definition, design, development, and dissemination. The research instrument includes a validation sheet, evaluation sheet, questionnaire, lesson plans, comic media, and mathematical representation and critical thinking ability tests. The developed comic media contains an introduction, comic’s work and energy materials, users’ manual, instructional video, and discussion column. The data analysis used the MANOVA test. The finding shows that the developed Android-based comic media of Gajah Mungkur Dam is feasible to use with the assessment score of 3.70 or in a very good category from the validator, and score of 3.10 or in a good category from students in the limited trial. The MANOVA test result shows that there is a significant difference between the control class and experimental class. The developed comic is effective in improving mathematical representation ability in the small effect category and in improving critical thinking skill in the medium effect category.

The project presented in this paper aims to formulate a recommendation framework that consolidates the higher education students’ particulars such as their academic background, current study and student activity records, their attended higher education institution’s expectations of graduate attributes and self-assessment of their own generic competencies. The gap between the higher education students’ generic competence development and their current statuses such as their academic performance and their student activity involvement was incorporated into the framework to come up with a recommendation for the student activities that lead to their generic competence development. For the formulation of the recommendation framework, the data mining tool Orange with some programming in Python and machine learning models was applied on 14,556 students’ activity and academic records in the case higher education institution to find out three major types of patterns between the students’ participation of the student activities and (1) their academic performance change, (2) their programmes of studies, and (3) their English results in the public examination. These findings are also discussed in this paper.

This study aims to obtain the game as a gamification in education that is appropriate to be used for hydrocarbon learning media based on the validity, practicality, and effectiveness of the game. The research method used is the research and development method, the study was conducted in East Java High School-Indonesia. Validity is obtained from the assessment game by the validator. Practicality is obtained from the questionnaire responses of students and observations of students' activities while using the game. The effectiveness is obtained from the learning outcomes of students, the results of students' learning motivation questionnaires, and student retention. Based on the results of the research, the game developed is named “Hydrocarbons Chem-Rush” is declared appropriate as a learning media on hydrocarbon material and has better learning outcomes than the control group, students are more motivated to continue playing and continuing to learn, students are active during learning, and can make power student retention is very good.

Inequality in education is a challenge that have persisted and still likely to persist for a long time in the field of education because students come into the classroom with different characteristics thus posing a great concern to the realization of classroom objectives. The use of adequate teaching strategy might break this limitation thereby making every student to engage in meaning learning. The two objectives of this study include i) to investigate the effect of brain-based teaching (BBT) method on students’ retention on the topic, heat energy (ii) to investigate if self-efficacy influence physics students’ retention on the topic, heat energy, when taught using brain-based teaching method. We adopt the design, pre-test post-test control group quasi experimental design for the investigation. The participants were 99 (experimental group, n= 46; control group, n=53) students and were selected from two schools in Ondo using random sampling technique. A researcher designed data collection tool titled heat energy test (HET) was used to collect data in this study. HET’s validity was achieved by giving the draft to three science education experts and two secondary school physics teachers for validation. Both descriptive and inferential statistics (Mean, t-test. ANCOVA) were used for analysis. Brain-based teaching method significantly improved the retention of students in physics (heat energy) and also, self-efficacy did not influence physics students’ retention in physics (heat energy). In conclusion, brain-based teaching method enhanced the retention of physics (heat energy) thus breaking the limitation posed by differences in the characteristics of the students

In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is described. The approach defines which concepts from domain knowledge should be included in the initial test so the system can make conclusions about what students truly know about domain knowledge. This representative subset of domain knowledge is defined using non-semantic mathematical approach based on graph theory. The initial test, created over a domain knowledge representative subset, guarantees encompassing all concepts that are relevant to domain knowledge. A two-level case study is conducted on what would be the representative subset of one selected domain knowledge. It compares semantically selected domain knowledge representative subsets (semantical analysis was done by domain area experts) to a non-semantical, mathematically selected domain knowledge representative subset. The results of the case study show that problems of inequality of semantically selected domain knowledge representative subsets are easily overcome using the presented approach.

This study introduces a small-scale chemistry practicum technique with the concept of acid-base identification, determination of pH with indicators, and neutralization reactions with the concept of titration. The first experiences of teachers and students in small-scale chemistry practicums are revealed. Action research was carried out to introduce small-scale chemistry (SSC) practicum techniques as solutions for minimizing chemical tools and materials, as well as the availability of space for school chemistry practicums. This study involved 26 teacher participants in the initial process of providing experience and 36 student participants involved in the process of organizing practical classes. Quantitative data including teacher responses and student responses to the SSC practicum in the pilot class were collected using a response questionnaire on the activity. Qualitative data were collected through observation, interviews, and documentation. The practicum involves qualitative observations and quantitative calculations. The qualitative aspect relates to the observation of color changes that occur in a mixture of solutions made of acid and base solutions with certain compositions. Teachers get a lot of inspiration in terms of chemistry practicum with less material requirements, as well as modifying the tools used for laboratory activities. The package of tools and materials provided an illustration for them that practicum activities do not have to be carried out in a laboratory room, but can also be practiced in conventional classrooms, and even carried out independently by students at home. Students have a unique experience in the process of counting the number of droplets as it requires careful concentration and observation

This sequential explanatory design aims at exploring science teachers’ perceptions of technology integration regarding technological pedagogical content knowledge (TPACK) which focused on quantitative findings (survey) supported by qualitative findings (interview). The study involved 356 respondents for the survey and eight participants for the interview. Descriptive statistics, t-test and ANOVA were used in the quantitative data analysis while for the qualitative data analysis, a thematic process was conducted. Findings show that the science teachers’ perception of their technological-based knowledge is lower than non-technological knowledge namely pedagogical and content knowledge. Further, qualitative findings informed in-depth information about technology integration referred to TPACK namely problems in technology integration, advantages of technology integration, students centered learning, knowledge of new technology and its classroom integration, and peer collaboration. Policy recommendation was established for the betterment of ICT integration in instruction, especially for developing countries

This study aimed to develop an e-content module for Chemistry Massive Open Online Course (MOOC). It examined the validity, reliability and student’s perceptions on content, usability, design and effectiveness of the module. This is a design and development study and the e-content module was developed based on ADDIE instructional design model. Collaborative learning, Connectivism theory and Interaction Equivalency Theorem are the pillars for the module development. The content validity of the module was estimated by three experts using content validity evaluation form. Questionnaires were distributed to the students in order to determine the reliability (n = 23) and students’ perceptions on the module (n = 129). Findings revealed the e-content module has high content validity (CVI = 1.00) and good reliability index (α = 0.94). The mean scores for students’ perception on module content (M = 3.66, SD = 0.55), usability (M = 3.43, SD = 0.56), design (M = 3.41, SD = 0.59) and effectiveness (M = 3.47, SD = 0.56) constructs were high. This e-content module in Chemistry MOOC is hoped to be a good and useful online resource for both students and lecturers in the teaching and learning of Chemistry in higher education institution.

Formative feedback plays an important role in assisting students in their learning process. However, administering information about student weaknesses and strengths is one of the challenges faced by teachers when implementing formative assessment. This study aims to develop a web-based formative feedback system that is able to provide specific feedback. This is a development research with steps including needs analysis, model design, model development, and limited model trial. The research has succeeded in developing a web-based formative feedback system through utilizing isomorphic multiple choice items, namely Tryout and Webvoting applications. The results of the initial trial, involving 22 high school physics teachers and 44 prospective physics teachers, showed that the model can be used by both students and teachers. The use of Tryout application allows the teachers to administer individual and groups of students’ feedbacks. Based on the feedbacks and information, teacher also can discuss student’s learning difficulties using Webvoting application. More extensive trials are needed to find out the effectiveness of this system