The Development and Validation Prospective Mathematics Teachers Holistic Assessment Tools

Sainuddin, Syamsir; Subali, Bambang; Jailani,; Elvira, Melly

doi:10.18280/isi.270201

Cited by 6 publications

(10 citation statements)

References 51 publications

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“…Furthermore, the teacher's decision-making is influenced by the results of previous experience, which is poured into the problem situation as a reference for building ideas from the task to be designed. The determinants of the results of task design are based on previous experience, which is the teacher's control in designing tasks (Fishbein et al, 2016) and teacher perceptions based on prior knowledge (Altan & Ercan, 2016;Sainuddin et al, 2022). Therefore, decision-making at the informationgathering stage depends on the experience possessed by the teacher when designing assignments.…”

Section: Information Gatheringmentioning

confidence: 99%

Profile of Teacher Decision-Making in Designing Mathematical Tasks Based on Teaching Experience

Taufiq,

Budiarto,

Siswono

et al. 2023

Int. J. Curr. Educ. Res.

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Objective: This research aims to describe the decision-making profile of mathematics teachers in designing mathematical assignments based on teaching experience. Method: The subjects of this study were mathematics teachers in junior high school education units with a bachelor's degree in mathematics education, including one senior teacher (ST) and one novice teacher (NT). The researcher used a task sheet for making a mathematical task design (TSMTD) and an interview guide as instruments for data collection. Results: The results showed that both novice and senior teachers identified problems by mentioning known information, but novice teachers tended to modify textbook assignments as materials for designing questions. In collecting information, beginner and senior teachers compared ideas from previous experiences, but senior teachers considered the context of the questions to be designed. Beginner teachers submitted problems by raising the theme of comparing values and transforming values with different resolution processes, while senior teachers considered several contexts and chose multiple alternative solutions. Both beginner and senior teachers checked all the questions designed and assessed the feasibility of the solutions generated from the task. Novelty: This research contributes to the understanding of the decision-making profile of mathematics teachers in designing assignments based on their teaching experience, highlighting the differences between novice and senior teachers in terms of problem identification, information collection, problem submission, and checking of designed questions.

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Section: Information Gatheringmentioning

confidence: 99%

Profile of Teacher Decision-Making in Designing Mathematical Tasks Based on Teaching Experience

Taufiq,

Budiarto,

Siswono

et al. 2023

Int. J. Curr. Educ. Res.

View full text Add to dashboard Cite

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“…As explained in the introduction, the instrument, which consists of 9 initial assessment items, is then reviewed for readability by a measurement expert. Experts provide input about the content of each item and see how far the item can represent the construct (Sainuddin et al, 2022). The experts included two other chemistry lecturers, nine chemistry teachers, and two educational measurement experts.…”

Section: Proof Of Content Validitymentioning

confidence: 99%

“…A good rubric at least goes through the stages of expert review and empirical testing (Basturk, 2008;Galti et al, 2018). Expert review is a consideration for items essential to measuring students' practicum abilities in the laboratory (Sainuddin et al, 2022). Meanwhile, empirical trials were used to determine to what extent the rubric developed appropriately measures students' abilities in practical activities (Bennett et al, 2016;Giammatteo & Obaya, 2018;Seery et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Measurement of Students' Chemistry Practicum Skills Using Many Facets Rash Model

Elvira¹,

Retnawati²,

Rohaeti³

et al. 2023

EUROPEAN J ED RES

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<p style="text-align: justify;">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.</p>

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“…Despite the slight lag in classification error, the VGG network achieved the best results on many transfer learning tasks. Figure 1 shows the structure of the pretrained CNN network [19][20][21].…”

Section: Cnn Modelingmentioning

confidence: 99%

Image Feature Extraction and Retrieval Optimization of Book Pages Based on Convolutional Neural Network

Zheng¹,

Wang²,

Zhou³

2022

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Focusing on the feature extraction process of convolutional neural network (CNN), this paper establishes a CNN-based retrieval method of book pages. Then, the pretraining and feature finetuning of the CNN were described separately. The performance of the proposed optimization method was demonstrated through experiments. Considering overall performance and transfer learning capacity, the eight-layer VGG-Fast was selected as the structural framework of our CNN. To train the CNN, it is necessary to gather millions of book page images, and complete the complex task of labeling all these images. Given the excellence of VGG in many transfer learning tasks, this paper chooses to pretrain the CNN with a task-independent dataset. After that, a small book page dataset was adopted to convert the knowledge domain of the CNN from image classification to image page retrieval. In this way, desirable retrieval effects were achieved, without wasting lots of time and energy in collecting and labeling a large book page dataset.

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The Development and Validation Prospective Mathematics Teachers Holistic Assessment Tools

Cited by 6 publications

References 51 publications

Profile of Teacher Decision-Making in Designing Mathematical Tasks Based on Teaching Experience

Profile of Teacher Decision-Making in Designing Mathematical Tasks Based on Teaching Experience

Measurement of Students' Chemistry Practicum Skills Using Many Facets Rash Model

Image Feature Extraction and Retrieval Optimization of Book Pages Based on Convolutional Neural Network

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