This study examines the effect of project based learning on 8th grade students’ statistical literacy levels. A performance test was developed for this aim. Quasi-experimental research model was used in this article. In this context, the statistics were taught with traditional method in the control group and it was taught using project based learning in the intervention group. Statistics was given for four weeks according to pro ject based learning at intervention group. The performance test was applied to total 70 students as pre and post-test. Participants are from two different classes of a middle school in Trabzon. The data were analysed using Rasch measurement techniques. This measurement allowed both students’ performance and item difficulties to be measured using the same metric and placed on the same scale. All raw scores converted linear score in order to obtain equal interval scale. Acquired linear scores were compared. In the analysis of gained datum covariance analysis are used. According to gained results in pre-processing application there isn’t substantial difference between the achievements of intervention group and control group; but after processing between the achievements of intervention group and control group there is a substantial difference statistically in favor of intervention group. The results of the study revealed that the project based learning increased students’ statistical literacy levels in the intervention group.

This study investigates the effect of the project based learning approach on 8th students’ attitude towards statistics. With this aim, an attitude scale towards statistics was developed. Quasi experimental research model was used in this study. Following this model in the control group the traditional method was applied to teach statistics wheras in the intervention group project based learning approach was followed. The attitude scale towards statistics was applied as pre-test and post-tests to 70 students studying at two different 8th grade classes of a middle school in Trabzon during the 2011–2012 Academic Year. The results of the study revealed that the project based learning increased students’ attitude towards statistics in the intervention group. Therefore, the use of project based learning approach during statistics course in mathematics classes is recommended.

Schools and teacher induction programs around the world routinely assess teaching best practice to inform accreditation, tenure/promotion, and professional development decisions. Routine assessment is also necessary to ensure that teachers entering the profession get the assistance they need to develop and succeed. We introduce the Item-Level Assessment of Teaching practice (I-LAST) as a flexible framework-based approach for quantitative evaluation of teaching best practice in the induction stages. We based the I-LAST on a novel framework for teaching best practice, and used Fuller’s scale as a framework for understanding the potential of the I-LAST in providing longitudinal measures for growth. Using the context of a year-long teacher induction program in the Midwestern United States, we collected data through an online survey from 46 teaching supervisors who were asked to evaluate their interns. We used the Rasch partial credit model as a criterion for construct validity, and measured dimensionality and reliability from both Rasch and classical frameworks. The I-LAST was found to be a unidimensional, valid, and reliable measure for teaching best practice. It demonstrated the ability to provide reliable scores for specific sub-dimensions of best practice, including those which manifest at various stages along Fuller’s scale. Potential uses of the I-LAST to advance understanding of the role of teacher induction programs in fostering productive growth in new teachers is discussed.

All over the world, countries are paying close attention to how teachers are recruited, selected, and prepared for the nation’s schools. Increasingly, teachers are expected to teach all students to high standards at the same time that they play a major role in meeting rising expectations regarding social equity. Preparing teachers for these challenges is among the most pressing and complex tasks in teacher education. In response to these and other challenges, some initial teacher education programs now include among their major goals preparing teachers to teach for social justice, work toward equity and access for all students, and/or challenge inequities in existing educational systems and policies. This article focuses on three initial teacher education programs—one each in the United States, New Zealand, and Ireland. Although these programs differ from one another in many ways, they also share some goals related to teaching for social justice and equity. The article examines longitudinal survey data regarding teacher candidates’ scores on the “Learning to Teach for Social Justice-Beliefs” scale, which was designed to measure candidates’ endorsement of beliefs consistent with the concept of teaching for social justice. For each of the three research sites, the article analyzes: (a) demographic and teacher quality contexts, (b) initial teacher education program goals related to social justice/social equity, and (c) the results of surveys administered to teacher candidates at entry to and exit from the programs. The article concludes with discussion of learning to teach for social justice as a cross-cultural concept.

As we have seen from the current COVID-19 pandemic, misconceptions concerning viruses can lead to disease spread and panic. Therefore, it is imperative to determine misconceptions held concerning epidemics and pandemics. One virus that warrants study of misconceptions, albeit given limited attention in the West, is the Ebola virus. An assessment of college students’ knowledge and misconceptions about the Ebola virus was created and validated using data from 203 non-science majors at a Midwestern United States university. The data were analyzed using both classical and Rasch measurement methods to make a case for the validity of the assessment and to explore students’ misconceptions. The assessment was shown to be a valid and useful measure for students’ knowledge and misconceptions concerning Ebola. Integrating a confidence scale into students’ responses made the scale more reliable and assisted in identifying students’ tenacious misconceptions. Students displayed multiple misconceptions about viruses, including confusion between the characteristics of viruses and prokaryotes.  Students also displayed misconceptions about Ebola itself, including the overestimation of the number of Ebola strains and the number of patients who experience massive blood loss, misunderstandings about the incubation period, and overestimation of the mortality in comparison to other diseases like Influenza and Anthrax. This assessment can be used as a starting point in future studies to determine what misconceptions people have about Ebola and which types of educational and behavioral interventions need to be undertaken.

One of the issues that hinder the students’ learning progress is the inability to construct an epistemological explanation of a scientific phenomenon. Four-tier multiple-choice (hereinafter, 4TMC) instrument and Partial-Credit Model were employed to elaborate on the diagnosis process of the aforementioned problem. This study was to develop and implement the four-tier multiple-choice instrument with Partial-Credit Model to evaluate students’ learning progress in explaining the conceptual change of state of matter. This research applied a development research referring to the test development model by Wilson. The data were obtained through development and validation techniques on 20 4TMC items tested to 427 students. On each item, the study applied diagnostic-summative assessment and certainty response index. The students’ conceptual understanding level was categorized based on the combination of their answer choices; the measurement generated Partial-Credit Model for 1 parameter logistic (IPL) data. Analysis of differences was based on the student level class using Analysis of Variants (One-way ANOVA). This study resulted in 20 valid and reliable 4TMC instruments. The result revealed that the integration of 4TMC test and Partial-Credit Model was effective to be treated as the instrument to measure students’ learning progress. One-way ANOVA test indicated the differences among the students’ competence based on the academic level. On top of that, it was discovered that low-ability students showed slow progress due to the lack of knowledge as well as a misconception in explaining the Concept of Change of State of Matter. All in all, the research regarded that the diagnostic information was necessary for teachers in prospective development of learning strategies and evaluation of science learning.

The current study investigated Student-Teacher Relationship Measure (STRM) psychometric properties using Rasch analysis in a sample of middle school female students (N = 995). Rasch Principal Components Analysis revealed psychometric support of two subscales (i.e., Academic and Social Relations). Summary statistics showed good psychometric properties. The category structure and individual statistics (i.e., items and person infit and outfit) were not ideal. Category structure showed that the distances between adjacent thresholds were lower than optimal criteria. Even though findings indicated that items mean square statistics (MNSQ) were optimal, standardized fit statistics (i.e., ZSTD) reflected many misfit persons and items in each subscale. After eliminating the misfit persons and items, the two subscales met the Rasch optimal criteria. The updated short 22-item scale had good psychometric properties, high item and person separation, and good item and person reliability for the two subscales and can be used as a reliable and valid scale.

This study aimed to analyze the critical thinking skills of students in learning of environmental change material using e-learning madrasah. This study used explanatory sequential design by mixed-methods experiment. The data were collected by interviewing, observing, and essay testing that have indicators modified from critical thinking skills by Watson-Glaser, Facione, and Ennis. There were 67 participants in this study as 7th grade student at a junior high school in Sleman district. Quantitative data analyzed by determining average score and standard deviations and, qualitative data analyzed from interviews and observation. Quantitative analysis showed that there were 3 levels of student’s critical thinking skills which were 14 students (20.90%) in the high category, 38 students (56.72%) in the middle category, and 15 students (22.38%) in the low category. Qualitative analysis indicated learning model made students to learn actively, independently, and enthusiastically looking for several sources. This study provided information about student critical thinking skills in junior high school, especially in the environmental change matter which are still low. Thus, the alternative learning strategies to improve students critical thinking skills are very needed. Besides, information on the application of the discovery learning model with e-learning Islamic school was obtained in the COVID-19 pandemic.

Teachers who can adapt and be ready for all changes will also be able to provide a balance to increase the competence of vocational high school students. This is also not denied when teachers become assessors in student competency tests. The objectives of this study were to produce an instrument for the readiness of teachers as assessors; to knowing good grain reliability; to know the characteristics of the instrument; and to know the difficulty level of the item. The method used in this research is instrument development. Respondents were vocational school teachers who were candidates for competency test assessors. Data collection techniques using a questionnaire. Analysis of construct validity using Confirmatory Factor Analysis. Reliability using Cronbach’s alpha. Test the instrument items using the Rasch model. The results are the readiness instruments of the vocational teacher as an assessor has 19 indicators that have been grouped into 5 factors with consistency values being in the same construct (proven construct validity). The result of the calculation of the reliability of this instrument is 0.852, which means that the reliability coefficient is high; There are two items, namely numbers 24 and 18 which indicate the absence of a fit item in the overall item fit criteria; At the item difficulty level, items 8 and 6 have a difficulty score of more than 2, while this indicates that items 8 and 6 have a high difficulty level.

Assessment is a topic that continues to be developed in science education research. Assessment evaluates not only students' cognitive abilities but also their thinking skills. Therefore, in this study, an assessment that could measure students' chemical literacy was developed. Chemical literacy is a thinking skill that students must develop as part of their chemistry learning. The goal of this study was to assess item' quality, as well as student’ chemical literacy on the concept of chemical rate. The Rasch model was employed to analyze the data in this study. The results of this study depict that the developed assessment had sufficient reliability and validity to be used to assess students' chemical literacy. Furthermore, the analysis of the students’ responses to the items revealed that many students did not understand or were unaware of the context presented. These findings suggest that students' chemical literacy in the material for the reaction rate is still lacking and needs to be improved. As a result, the teacher's role in assisting students in improving their chemical literacy through chemistry learning is critical.

This study aimed to develop a valid and reliable instrument that measures the functional vision of students with low vision. Thus, an assessment tool and performance activities were developed for three vision skill groups (near vision skills, distance vision skills, and visual field) that include functional vision skills. The universe was 1485 students studying in various primary and middle schools (from 2nd to 7th grades) affiliated to the Ministry of National Education, and simple random sampling was used to select 310 students. The data were collected using the Gazi Functional Vision Assessment Instrument developed by the researchers. Many-facet Rasch model and generalizability theory were used for the rater reliability of the measurements obtained from the instrument, while discriminant analysis was used for the validity of the measurements. The analysis showed that the measurements were reliable, and the inferences based on these measurements were valid. Thus, this instrument can be used to identify and assess the functional vision status of students with low vision.

Metacognition inventory supports increased awareness and self-control to improve student’s academic success, including physics. However, there are limitations to revealing the Physics Metacognition Inventory (PMI), especially in Indonesia. This study aims to explore and evaluate the psychometric properties of PMI. This survey research has involved 479 students from three high schools in Indonesia. The psychometric properties of the I-PMI were evaluated using a Confirmatory Factor Analysis and Rasch Model approach. The results show that the Indonesian Physics Metacognition Inventory (I-PMI) is collected in 6 constructs from 26 items. The validity, reliability, and compatibility tests have also been analyzed with good results. The five rating scales used have adequate functionality. This research has also presented more comprehensive information about the Physics Metacognition Inventory in the context of Indonesian culture. This study has implications for using I-PMI to assess students’ metacognition at the high school level in Indonesia and recommendations for future research.

Online learning during the Coronavirus disease (COVID-19) pandemic has awakened and affirmed the necessity of learning based on digital technology. The article was aimed to analyze the effectiveness of online learning at bachelor’s, master’s, and doctoral degrees of Islamic Religious Education as a reference to develop a learning pattern post-COVID-19 pandemic. The research employed a mixed-method design with a concurrent triangulation model. The samples were taken using stratified random and purposive sampling. Meanwhile, the data were collected through questionnaires, in-depth interviews, and forum group discussion. A descriptive analysis and one-way analysis of variance were used to analyze the quantitative data, while interpretative descriptive for the qualitative data. The research showed that online learning during the COVID-19 pandemic at the bachelor’s, master’s, and doctoral degrees of Islamic Religious Education have been effective. In detail, online learning at the doctoral degree was the most effective among all. On the other hand, face-to-face learning is still necessary. Therefore, the learning pattern developed post-COVID-19 pandemic combines face-to-face and online learning (hybrid learning). The formulation is adjusted to the characteristics, educational purpose and orientation, level of ability, readiness, and learning autonomy of the students at each educational level.

Computational thinking (CT) is a method for solving complex problems, but also gives people an inventive inspiration to adapt to our smart and changing society. Globally it has been considered as vital abilities for solving genuine issues successfully and efficiently in the 21st century. Recent studies have revealed that the nurture of CT mainly centered on measuring the technical skill. There is a lack of conceptualization and instruments that cogitate on CT disposition and attitudes. This study attends to these limitations by developing an instrument to measure CT concerning dispositions and attitudes. The instruments' validity and reliability testing were performed with the participation from secondary school students in Malaysia. The internal consistency reliability, standardized residual variance, construct validity and composite reliability were examined. The result revealed that the instrument validity was confirmed after removing items. The reliability and validity of the instrument have been verified. The findings established that all constructs are useful for assessing the disposition of computer science students. The implications for psychometric assessment were evident in terms of giving empirical evidence to corroborate theory-based constructs and also validating items' quality to appropriately represent the measurement.

Many researchers have separately developed instruments to measure environmental characteristics such as attitudes, values, and knowledge. However, there is no instrument used to measure all these aspects in one comprehensive instrument. This study is meant to develop and validate a green character instrument which reveals student behavior and awareness of the environment. The instrument consists of 40 statement items consisting of 5 aspects, namely private pro-environmental behavior, public pro-environmental behavior, environmental knowledge, environmental values, and environmental attitudes. It was implemented on 1,398 students from 15 universities in Indonesia. The instrument content validation was analyzed by three experts using content validity index (CVI). The construct validity was analyzed using exploratory factor analysis, confirmatory factor analysis, and RASCH analysis. The content validity results obtained CVI scores ranging between 0.8 and 0.9 with a good category, while item reliability was in a fairly good category with a high level of separation index. Construct validation resulted in 34 items (4 items were eliminated after Exploratory and Confirmatory Factor Analysis, and 2 items were eliminated after RASCH analysis) spread over five constructs, namely environmental behavior, environmental knowledge, environmental values, environmental attitudes, and environmental habits. The resulting instrument has a good level of item difficulty, with a well understood response set which can be understood easily by respondents, and without bias. Therefore, it can be used to measure the students’ green character on both male and female.

This research is a developmental research aiming at developing a good mathematical test instrument using polytomous responses based on classical and modern theories. This research design uses the Plomp model, which consists of five stages, (1) preliminary investigation, (2) design, (3) realization/construction, (4) revision, and (5) implementation (testing). The study was conducted in three vocational schools in Lampung Province, Indonesia. The study involved 413 students, consisting of 191 male and 222 female students. The data were collected through questionnaire and test. The questionnaire was used to identify the assessment instruments currently employed by teachers and to be validated by the experts of mathematics and educational evaluation. The test used an open polytomous response test numbering of 40 items. The data were analyzed using both classical and modern theories. The results show that (1) the open polytomous response test has a good category according to classical and modern theory. However, the discrimination power of test items in classical theory needs several revisions, (2) the assessment instrument using the polytomous response of open multiple choice can guarantee information on the actual competence of students. This is proven by the fact that there is a harmony between the analysis result obtained from classical and modern theory from the students' arguments when giving reasons for their choices. Therefore, the open polytomous response test can be used as an alternative to learning assessment.

Competent instructors need to have the skills, abilities, and competencies to perform tasks effectively, which will affect student learning achievement. This study is guided by the theory of Boyatzis developed by Spencer and Spencer. The Iceberg Competency Model was used as a guideline to identify the competency elements of educators from the agricultural stream in vocational colleges (KV). This research study aims to explore and identify the existing competency elements of agricultural educators in KV. This study used a study population comprising 243 respondents of agricultural educators in KV. To answer the research question, the data analysis was done by Partial Least Squares - Structural Equation Modeling (PLS-SEM). This study is a study built to observe the relationship between the latent constructs studied. These constructs consisted of exogenous and endogenous constructs. In this study, exogenous constructs comprised value constructs, social roles, self-image, motives, traits and constraints. At the same time, endogenous constructs involved constructs of skills and knowledge. To ensure that the construct of this study gives meaning to the reflective measurement model, it was evaluated based on internal consistency reliability and validity. Regarding the framework, some indicators that did not qualify were dropped based on factor loading and average variance extracted (AVE). From the analysis conducted, 16 indicators were dropped since they did not meet PLS-SEM requirements. The total number of items retained was 71 indicators. At the final stage of this study, the evaluation model was implemented to form a framework involving the evaluation of the constructs linked to each other.

Learning activities are conducted to help students achieve optimal academic achievement. This research aims to optimize student academic achievement through a learning process that integrates comprehensive formative assessments, including formative tests, self-assessment, peer assessment, and the initiator of creating summaries or concept maps that are given to students in a structured manner at the end of every lesson. The research method used was a quasi-experimental method with a 2x2 factorial design. Students enrolled in the biology education program of the basic physics course for the 1st semester of the 2019 academic year participated in this study. The participants were 66 undergraduate students divided into two classes. Thirty-four students in the experimental group were in class A, while 32 students in the control group were in class B. Data were collected using a learning outcome test instrument to measure academic achievement, which was tested at the end of the semester. Data were analyzed using a two-way ANOVA. This study concluded that a learning process that includes comprehensive formative assessment significantly affects students' academic achievement. These findings support the theory that formative assessment provides feedback, correction, and improvement in student learning.

This study aimed to find the Classical Test Theory (CTT) and Modern Test Theory (MTT) item parameters of the Differential Aptitude Test (DAT) and examined their comparability of them. The item parameters being studied are difficulty level and discrimination index. 5.024 data of the result sub-test DAT were documented by the Department of Psychology and Guidance and Counselling bureau. The parameter of classical and modern test items was estimated and correlated by examining the comparability between parameters. The results show that there is a significant correlation between item parameter estimates. The Rasch and IRT 1-PL models have the highest correlation toward CTT regarding the item difficulty level. In contrast, model 2-PL has the highest correlation toward CTT in the item discrimination index. Overall, the study concluded that CTT and MTT were comparable in estimating item parameters of DAT and thus could be used independently or complementary in developing DAT.

The accuracy of assessing the capabilities of the process and product in chemical practice activities requires appropriate measurement procedures to be followed. It is crucial to identify the components that can introduce bias while measuring student abilities during the measurement process. This study aims to identify the components or criteria used by teachers to assess student performance in practicum activities and analyze the quality of the rubrics developed. The study was conducted with the participation of three raters, 27 high school students, and nine assessment criteria. A quantitative descriptive approach was employed using the many-facet Rasch model (MFRM) analysis for measurement. The results of the MFRM analysis show no significant measurement bias, with data measurement facets fitting the MFRM model. The reliability of all the facets meets the criteria, and the scale predictor functions appropriately. While all students can easily pass four out of nine items, five items can only be partially passed by students. The assessment criteria that require special attention include communication skills, tools and assembly, interpretation, cleanliness, and accuracy when performing practicums. These criteria provide feedback for teachers and students to ensure successful practicum activities. The Discussion section of this study delves into the findings and their implications.