Higher order thinking skill (HOTS) is one of the students’ abilities that should be developed through teaching and learning. Teachers’ knowledge about HOTS and its teaching and learning tactics is a key to successful education. The purpose of this research is to describe teachers’ knowledge about higher order thinking skills (HOTS). The research involves qualitative study with the phenomenological approach. The research participants are 27 mathematics teachers from state and private junior high schools across 7 provinces in Indonesia. The researcher collected data with a test followed by focus group discussion (FGD) and interviews. The analysis of data involved Bogdan & Biklen model and descriptive statistics for data from the test. The analysis of FGD, and test data intends to get information on 6 sub-themes; teachers’ knowledge about HOTS, importance of HOTS, teaching about HOTS to students, improving students’ HOTS, measuring and assessing HOTS, and teachers’ ability for solving HOTS-based problems. The results indicate that teachers’ knowledge about HOTS, their ability to improve students’ HOTS, solve HOTS-based problems, and measure students' HOTS is still low. There are facts, however, that teachers already understand the importance of HOTS and teaching it by using various innovative learning models. Keywords: HOTS, measurement and assessment, teachers’ knowledge, teaching and learning

International surveys, such as TIMSS and PISA, frequently put Indonesia in the low ranks. It is an indication that the higher-order thinking skills (HOTS) of students in Indonesia are still low. This research aims to analyze students’ difficulties in solving problems that measure HOTS. This is a case study research with a qualitative approach. Participants studied were 93 high school students in grade XI. Data were collected using test instruments that measure HOTS, which was developed based on the standard contents of high school mathematics. The difficulties were analyzed descriptively by observing students’ errors in answering HOTS test items. Students’ errors were classified based on Newman’s Error Procedure (NEP). The result shows that around 8.33% of the students had difficulties in comprehension, 15.59% in transformation, 32.53% in process skills, and 1.34 % in encoding. Keywords: HOTS problem in mathematics, students’ difficulties, case study, Newman’s error procedure.

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AbstrakThe study was to describe the implementation of Problem-Based Learning (PBL) toward the improvement of students ' Higher Order Thinking Skill (HOTS) ' characters; and (3) in overall the obstacles that had been encountered within the implementation of PBL process were related to the teachers' unpreparedness, the time allocation, the unequal students' input, the students' learning habits and the difficult assessment. The data gathering process was conducted through the test, the self-assessment and the open questionnaire. The quantitative data analysis was conducted inferentially using multivariate and univariate analysis, while the qualitative data analysis was conducted descriptively. The results of the study showed that: (1) the implementation of PBL had been more effective in comparison to the expository one in terms improving the students' HOTS; (2) the implementation of PBL had not been more effective in comparison to the expository one in terms of improving the students

Statistics is one of the tools to draw generalization in conducting a research. However, university students still face various obstacles during statistics lectures. This study aimed to describe the students’ difficulties in learning statistics and strategies for scaffolding them. It was conducted with 12 international students from different majors who were enrolled in statistics lectures in Graduate School, Yogyakarta State University, Indonesia. It employed qualitative phenomenological research. The Cresswell’s model was used in data analysis covering data reduction, presentation, and verification. The data were collected through interviews and observations during 8 meetings of extra statistics lectures. The results indicated that the students’ obstacles in learning statistics were caused by several factors; they were not enrolled in Mathematics and Statistics lectures during their undergraduate study, and they found it hard to perform computation, run the software, understand mathematical symbols, relate one concept to others in hypothesis testing, and present analysis results in Bahasa. Various scaffolding can be taken by lecturers to overcome these problems.