Scientific Motivation Research Articles

Development of Augmented Reality (AR) Learning Media to Increase Student Motivation and Learning Outcomes in Science

This research aims to 1) develop AR learning media regarding the interaction of living things and the environment, 2) determine the feasibility and response to AR media, and 3) determine differences in students' motivation and science learning outcomes before and after implementing AR media. AR-based mobile application. The study of AR media development uses the Waterfall development model which consists of 5 stages, namely analysis, design, code, testing, and maintenance. In-depth research data collection techniques use observation sheets, interview guides, media expert and material expert validation questionnaires, student response questionnaires as well as science learning motivation questionnaires and cognitive tests. The learning trial used a quasi-experimental design method with a research pattern using a nonequivalent control group pretest and posttest design involving 2 classes, namely class VII-C as the control group and VII-D as the experimental group. The results of the research show that 1) AR-based mobile applications can be used anytime and anywhere, the resulting applications are equipped with animations, games, and 3-dimensional and 2-dimensional images, 2) the product is valid and AR-based AR-based mobile applications are suiTabel for testing and response results in students towards AR-based mobile applications received a very good response from students, 3) learning using AR-based mobile applications can increase learning motivation and student learning outcomes, especially in the subject of interaction between living things and the environment.

Learning Enzyme Concept through BioMan Enzymatic: An HTML Simulation Game

This research examined the impact of the HTML-based simulation game "BIOMAN: Enzymatic" on first-year students' grasp and retention of enzyme-related biology concepts. In the academic year 2022-2023, 70 students participated in the study. The game effectively improved student performance across three classes, evidenced by significant increases in mean scores from pre-tests to post-tests. Statistical analyses, including paired t-tests and ANOVA, confirmed the significance of these improvements, ruling out chance as the cause. These findings emphasize the value of simulation games in science education, boosting engagement, motivation, and understanding. The study encourages educators to integrate such technology into teaching, advocating for personalized learning, active methods, and ongoing innovation.

The Pecos Array: A Temporary Nodal Seismic Experiment in the Pecos, Texas, Region of the Delaware Basin

Abstract With increasing earthquakes in the Delaware basin since 2009, earthquake studies, including accurate hypocenters, are critically needed in the Delaware basin to identify the structures producing earthquakes, and to determine if they are related to unconventional petroleum development and production. In 2018, with funding from the Texas Seismological Network, we deployed and maintained a nodal network of 25 Magseis Fairfield Z-Land Generation 2 5-Hz seismic nodes in the Pecos, Texas, region of the Delaware basin, known as, The Pecos Array. The network was deployed from November 2018 to the beginning of January 2020, with an additional two months of data recorded in September and October 2020. The network collected continuous three-component data with a 1000-Hz sampling rate. The spacing of the nodes varied from ∼2 km in town to ∼10 km farther away from the city center. The primary goal of this network was to improve estimation of event hypocenters, which will help to determine why there has been an increase in earthquakes over the past several years. In this article, we summarize the scientific motivation, deployment details, and data quality of this network. Data quality statistics show that we successfully collected continuous data with signal-to-noise ratios that allow us to detect and locate events, hundreds of them being estimated at ML<0.50. This unique dataset is contributing to new seismotectonic studies in the Delaware basin.

THE INFLUENCE OF THE STEAM LEARNING MODEL ON MOTIVATION AND RESULTS IN SCIENCE LEARNING IN CLASS V STUDENTS

The study's objective was to determine how the STEAM Model affected fifth-graders at SDI Biringkaloro Gowa's science learning results and motivation. This type of research is essentially an experiment. In this study, the quasi-experimental design takes the shape of a quantitative study with the kind of quasi-experimental research, where the design has a control group but can't fully function to control outside factors that influence how the experiment is carried out. The experimental group and the control group were the two groups used in this investigation. There are 60 students involved as the sample in this study. The 30 students as experimental group or class will employ the STEAM learning model, while the control class which includes the other 30 students will conduct the learning without using the STEAM learning model. The data were investigated using statistical analysis techniques such as validity analysis, descriptive statistical analysis, and inferential statistical analysis. The data was processed using the IBM SPSS 27 application. Homogeneity, normality, and MANOVA hypothesis testing were among the tests performed. According to an examination of the Manova test findings, which indicated a significant value of 0.000, the STEAM learning model has an effect on the motivation and academic performance of fifth grade students at SDI Biringkaloro Gowa. H0 is rejected and Ha is acceptable if 0.000 0.05. This suggests that the STEAM learning paradigm's implementation at SDI Biringkaloro Gowa has a significant impact on students' motivation and science learning outcomes.

Relationship between Socio-economic Characteristics of Sugarcane Growers with Their Knowledge and Adoption Level of IPM Practices

This investigation was conducted in two districts (Namely Saharanpur and Muzaffarnagar) of Western Uttar Pradesh which were selected purposely. A total number of 240 Sugarcane growers were selected through random sampling from sixteen villages. The structured schedule was developed keeping in view the objectives and variables to be studied. Correlation coefficient (r) between different variables and knowledge. Out of 17 variables studied, the variables i.e. education, occupation, annual income, material possession, economic motivation, and risk motivation extent of contact were found highly significant and positively correlated with knowledge extent. The variable like age, caste, type of family, housing pattern, social participation and communication media possession, the extent of contact, scientific orientation, and experience in Sugarcane cultivation was found positively correlated with knowledge extent.
 Correlation coefficient (r) between different variables and adoption. Among the 17 variables studied, the variables viz. occupation, annual income, and material possession were found highly significant and positively correlated with the level adoption. The variables like education and economic motivation were found significant and positively correlated with adoption extent. Caste, housing pattern, social participation, communication media possession, the extent of contact, scientific motivation, risk motivation, and experience in sugarcane cultivation positively correlated with extent of adoption.

How do we design curricula to foster innovation, motivation and interest in STEM learning?

PurposeThe authors designed a science and engineering curricular program that includes design features that promote student interest and motivation and examined teachers' and students' views on meaningfulness, motivation and interest.Design/methodology/approachThe research approach consisted of mixed methods, including content analyses and descriptive statistics.FindingsThe curricular program successfully included all four of the US National Academies of Sciences' design features for promoting interest and motivation through scientific investigation and engineering design. During interviews, teachers and students expressed evidence of design features associated with interest and motivation. After experiencing the program, more than 60% of all students scored high on all four science and engineering meaningfulness and interest survey items.Originality/valueA curricular program that extends science learning through the engineered design of solutions is an innovative approach to foster both conceptual knowledge development and interest and motivation in science and engineering.

Geoff Harcourt and the Central Role of Values in Economics

ABSTRACT It is impossible to separate Geoff Harcourt’s economics from his moral values, both professed and practiced. His work exemplifies the view within the political economy approach that values are inevitably embedded in theory. This characteristic is in sharp contrast with the central tenet of the mainstream view of economic science that it is technical and thus value-free. In considering the role of values in economics we focus particularly on the distinction between moral values and epistemological values. We explore their nature, role and interactions at a range of levels in political economy and in mainstream economics: ontology (including scientific motivation), epistemology and methodology. It is shown that, while moral values are inevitably embedded in theorising, their scope can be severely constrained if epistemological values are given priority. The paper is intended as a contribution to meaningful and constructive debate about values in theorising, with an overarching argument for philosophical consistency.

Developing strategic targeted interaction design to enhance disaster resilience of vulnerable communities

Still too often, technical reconstruction assistance does not lead to adoption of hazard-resistant construction techniques by disaster-affected households. Ideally, effective interactions should be framed and communicated in such a way that it appeals to different intentions of individual households to build back safer. Currently, there is no model for humanitarian interactions that indicates what household characteristics reveal intention differences. To develop audience-specific interactions, this study adapted the three stages used in marketing: segmentation, targeting, and positioning, and the established social scientific model motivation, ability, and opportunity. Our strategic targeted interaction design (STID) method segments the affected population based on intentions to build back safer and provides tailored interactions. Based on similarities, 27 target groups are identified, requiring different interaction approaches. To test viability of the STID method, data were collected through 865 open-ended household interviews in earthquake affected communities in Nepal. Cluster analysis shows the presence of different target groups within the same communities. Descriptive statistics of the target groups led to a proposal of audience-specific interaction strategies to enhance safer construction practices and reduce disaster risk. Our analysis indicates a combination of multiple interaction strategies, prioritizing the learning process and interactions within communities over interactions with external actors. This study presents a highly promising method toward personalization of aid, tailored to perceptions of target groups over general community characteristics.

From science motivation to science identity: The mediating effect of science achievement according to gender

Science motivation and identity have been considered important in science education research literature. The role of science achievement between the motivation and identity has rarely been contemplated. Gender issues in science motivation, identity, and achievement have also been considered crucial. Although most studies hypothesized science identity would be a cause of motivation, there seems very few research that quantitatively examined their longitudinal relationship. Data from 186 students in a coeducational general high school in Seoul, Republic of Korea, was collected. Auto-regressive cross-lagged models were fitted without and with science achievement as a mediator. As results, it was shown that science motivation causes identity not the opposite. With science achievement, science motivation showed direct and indirect effects on science identity. By multiple-group analysis, it was shown that male students formulate their science identity indirectly from science motivation through the mediation of science achievement, and female students directly from science motivation.

Motivation and Engagement as a Predictor of Students’ Science Achievement Satisfaction of Malaysian of Secondary School Students

Abstract Psychologists consider student engagement as a primary pathway by which motivational processes contribute to students’ learning and development (Connell & Wellborn, 1991). Academically engaged students self-regulate their learning, make plans for upcoming tasks, and persist when encountering obstacles and challenges. The present study intends to analyses the relationship between students’ motivation and engagement and their academic satisfaction and test the effect of some variables (gender, class) on that relation. To accomplish these purposes, this study intends to investigate Malaysian primary school students’ motivation, engagement and achievement satisfaction as predictors of achievement satisfaction in science and test the effect of some variables (gender, grade) on that relation. The students - 460 students (43% male, 57% female) of secondary school- responded to the Self-Developed Academic Satisfaction Questionnaire, Students’ Engagement Questionnaire and Science Motivation Questionnaire. All the questionnaires are valid and reliable according to the Cronbach’s Alpha value. A Multiple linear regression analysis has been used to predict the achievement satisfaction of Science based on the level of students’ motivation and level of engagement in Science classroom. The findings showed that students have a good level of motivation, engagement and achievement satisfaction. Even though students’ motivation is significantly predicted students’ achievement, but neither students’ engagement nor achievement satisfaction are a significant predictor of students’ achievement.

Development of academic entrepreneurship in an innovative economy: factors and motivation

Object: Study of issues of entrepreneurial activity motivation among university scientists and identification of factors influencing academic entrepreneurship.Methods: The study uses the methods of system analysis, comparative analysis, grouping method, content analysis, analysis of literature.Findings: The article considers the main factors that influence university scientists when they make a decision on academic entrepreneurship. The types of activities that can be attributed to academic entrepreneurship are identified: the implementation of funded projects, the foundation of start-ups, licensing, etc. An analysis of the studies conducted in the field of motivation of academic entrepreneurs made it possible to identify groups of main factors, as well as the strength of their influence on the motivation of scientists. Among the personal motives most often in Western research scientists highlight the desire to continue research, create innovative products, scientific interest in their field of study.Conclusions: The creation of an innovative infrastructure and legislation in the field of intellectual property protection and technology transfer largely determines the possibilities for the development of academic entrepreneurship in the country. Scientists involved in the commercialization of scientific developments become an example (mentor) for younger colleagues, which makes it possible to involve young, qualified specialists in academic entrepreneurship. The presence of professional connections and the opportunity to communicate with business representatives greatly facilitates the receipt of funding for the implementation of results, makes small innovative enterprises more successful in the market. Despite the small percentage of academic entrepreneurs in universities, most scientists maintain contacts with the business community, which, under favorable conditions, can develop into entrepreneurial activity.

Repositioning Integrated Science Curriculum for National Growth and Development

The importance of Integrated Science curriculum to nation’s development cannot be overemphasized. In Nigeria, issues such as poor academic performance of students, low quality of graduates, inadequate funding, lack of equipped laboratory and workshops, low quantity, quality, and commitment of teachers, inappropriate curriculum are prevalent in Integrated Science education provision. To improve the state of science and technology from its status quo and reposition it for the 21st century, adequate funding, provision and furnishing of laboratory and workshop, provision of scholarships and bursaries for students, regular review of science and technology curriculum, provisions of ICT in teaching and learning, recruitment of more qualified science and technology teachers, as well as motivation of science and technology teachers are recommended.

Pembelajaran Sains Melalui Mini Praktikum untuk Anak Usia Dini dan Usia Sekolah di Rumah Pintar Kreatif Ampang, Kelurahan Ampang, Sumatera Barat

Science has an important role in improving the quality of human life and has significant positive effects on the development of children’s personality and potential. However, many people believe that science is a challenging field of study. Therefore, it is important to introduce science to children at a young age in an entertaining way. This community service activity aims to introduce science to early childhood and increase children's abilities and interest in science. The target of this activity is children from middle-class to lower-class families that live in the area of the Rumah Pintar Mingguan (RPM) Kreatif Ampang. Five RPM volunteers and 31 children participated in this activity. This PKM activity was carried out through a simple science mini-practicum, by utilizing simple and inexpesive materials and tools that can be found easily in the surrounding environment. The main ingredients were baking soda and vinegar (acetic acid). The method used in this activity were a case study and hands-on practice. Two topics that are carried out on this practicum, namely the phenomenon of an erupting Merapi volcano and inflating a balloon without being blown up. This practice has the effect of increasing children's interest in and motivation for science, which is directly correlated with their increased comprehension of the concepts being demonstrated. Additionally, RPM decided to make this science practicum activity as a regular agenda item for the RPM community.

Metacognitive Conceptual Change (MCC) Learning Model: Improving Students' Conceptual Change through Metacognitive Skills, Motivation, and Scientific Knowledge

Conceptual change (CC) is a learning process in which students’ misconceptions are transformed into more scientific knowledge. The Metacognitive Conceptual Change (MCC) learning model is created by incorporating metacognitive skills and motivation elements into the CC model to make it more effective. It is necessary to look into the MCC model’s efficacy in encouraging students’ CC. This study aims to evaluate the MCC model’s effectiveness in improving conceptual changes in students through metacognitive skills, motivation, and scientific knowledge. This study used the experimental method with a one-group pretest-posttest design. The trial subjects were limited to 25 participants, while the broad trial subjects comprised 60 participants. Data was collected from tests, observations, questionnaires, and documentation. Data analysis techniques used in this study were descriptive, qualitative (n-gain test), and quantitative (paired t-test). The results demonstrate that the MCC learning model successfully raises students’ motivation, scientific knowledge, and metacognitive skills (p Sig. 0.05), encouraging the CC process. It is concluded that the MCC learning model effectively improves students’ CC by incorporating scientific knowledge, motivation, and metacognitive skills into instructional decisions. The MCC has practical implications for assessing CC through motivation and metacognitive scaffolding.

A Study of the Incentive Theory Embodied in the Operation Process of "Haidilao"

This paper examines the issue of motivation theory embodied in the operation process. Taking Sichuan Haidilao Company as the object of study, the paper examines the use of motivation theory in management to analyse and outlook on Haidilao's operation mode, and puts forward rationalised suggestions. The core of an enterprise's development lies in the cultivation of talents, and scientific motivation theory, "people-oriented" and valuing employees, is favorable to enhancing employee engagement and increasing the company's development benefits in order to create a situation that is profitable for both parties. In order to adapt to the changing and complex competitive market environment, the incentive theory of Haidilao should be determined from a variety of directions and different areas to determine the incentive scheme and countermeasures. However, in order to maximise the company's benefits, the most important thing is for the managers of the company to pay attention to and motivate the talents. Companies should develop their own incentive schemes to suit their employees, to stimulate their efficiency and to promote their rapid development, according to their own development and the changing environment of market competitiveness.

The Tianlin Mission: A 6 m UV/Opt/IR Space Telescope to Explore Habitable Worlds and the Universe

It is expected that ongoing and future space-borne planet survey missions including Transiting Exoplanet Survey Satellite (TESS), PLATO and Earth 2.0 will detect thousands of small to medium-sized planets via the transit technique, including over a hundred habitable terrestrial rocky planets. To conduct a detailed study of these terrestrial planets, particularly the cool ones with wide orbits, the exoplanet community has proposed various follow-up missions. The currently proposed European Space Agency mission Ariel is the first step for this purpose, and it is capable of characterization of planets down to warm super-Earths mainly using transmission spectroscopy. The NASA Large Ultraviolet/Optical/Infrared Surveyor mission proposed in the Astro2020 Decadal Survey white paper will endeavor to further identify habitable rocky planets, and is expected to launch around 2045. In the meanwhile, China is funding a concept study of a 6 m class space telescope named Tianlin (a UV/Opt/NIR large aperture space telescope) that aims to start its operation within the next 10–15 yr and last for 5+ yr. Tianlin will be primarily aimed at the discovery and characterization of rocky planets in the habitable zones around nearby stars and to search for potential biosignatures mainly using the direct imaging method. Transmission and emission spectroscopy at moderate to high resolution will be carried out as well on a population of exoplanets to strengthen the understanding of the formation and evolution of exoplanets. It will also be utilized to perform in-depth studies of the cosmic web and early galaxies, and constrain the nature of dark matter and dark energy. We describe briefly the primary scientific motivations and main technical considerations based on our preliminary simulation results. We find that a monolithic off-axis space telescope with primary mirror diameter larger than 6 m equipped with a high contrast coronagraph can identify water in the atmosphere of a habitable-zone Earth-like planet around a Sun-like star. More simulations for the detectability of other key biosignatures including O3, O2, CH4 and chlorophyll are coming.

The Benefits of Participating in a Learning Assistant Program on the Metacognitive Awareness and Motivation of Learning Assistants.

Learning assistant (LA) programs train undergraduate students to foster peer discussion and facilitate active-learning activities in undergraduate science, technology, engineering, and mathematics (STEM) classes. Students who take courses that are supported by LAs demonstrate better conceptual understanding, lower failure rates, and higher satisfaction with the course. There is less work, however, on the impact that participating in LA programs has on the LAs themselves. The current study implements a pretest-posttest design to assess changes in LAs' metacognition and motivation to succeed in STEM across their first and second quarters as an LA. Our findings suggest that participating in this program may help LAs become more reflective learners, as was demonstrated by an increase in their scores on the Metacognitive Awareness Inventory (MAI) after the first quarter. LAs also showed increases on the Intrinsic Motivation and Self-Efficacy subscales of the Science Motivation Questionnaire. Students who participated in the program for an additional quarter continued to show increases in their MAI scores and maintained the gains that were observed in their motivation. Taken together, this work suggests that, in addition to benefiting the learner, LA programs may have positive impacts on the LAs themselves.

COVID-19로 인한 원격 영재수업이 초등과학 영재학생들의 시스템 사고, 과학 동기, 과학 자기 효능감에 미치는 영향

The main purpose of this study was to investigate the effect of online education on gifted students’ systems thinking, science motivation, and scientific self-efficacy during the COVID-19 pandemic. The subjects were 68 elementary science gifted students in 2020. The education program focusing on 15 different subjects was conducted for 90 hours. To investigate the effect on systems thinking, science motivation, and scientific self-efficacy, the preandpost-test design was used. The results of this study were as follows. First, it was revealed that online gifted education was systematically conducted using the university’s existing LMS system, while also reducing students’ group activities and interactions between both students-students and students-instructor within the classroom. Second, online gifted education was effective in gifted elementary science students’ systems thinking and science motivation, however, the effect size was relatively small. Third, educational effects on students’ systems thinking were affected by the district of residence and previous educational experience. Therefore, gifted education is required in consideration of changes in population structure and regional disparities to cultivate human resources needed in the future fast-changing society.

Cultural Adaptation of the Expectancy-Value-Cost Scale for Spanish-Speaking Students

The Expectancy-Value model has been extensively used to understand students' achievement motivation. However, recent studies propose the inclusion of cost as a separate construct from values, leading to the development of the Expectancy-Value-Cost model. This study aimed to adapt Kosovich et al.’s ( The Journal of Early Adolescence, 35, 5–6, 2015) instrument for assessing achievement motivation in science and math among Spanish-speaking students aged 9–12. The psychometric evaluation encompassed examining validity, reliability, and measurement invariance for gender. The findings support the applicability of the expectancy-value-cost model in elementary school students, providing a valid and reliable tool for assessing achievement motivation in the science and math domain. However, the findings for the measurement invariance for gender are less conclusive and warrant future psychometric evaluations. This study opens avenues for future research on achievement motivation in Spanish-speaking contexts and populations.

CITIZEN SCIENCE PROJECT'S CONTRIBUTION TO SCIENCE LEARNING OUTCOME: SYSTEMATIC LITERATURE REVIEW

CITIZEN SCIENCE PROJECT'S CONTRIBUTION TO SCIENCE LEARNING OUTCOME: SYSTEMATIC LITERATURE REVIEW