FMCE-PHQ-9 Assessment with Rasch Model in Detecting Concept Understanding, Cheating, and Depression amid the Covid-19 Pandemic

This research aims to see the ability of the FMCE-PHQ-9 test instrument amid the Covid-19 pandemic to measure conceptual understanding, cheating, and depression in students. The research was conducted on 64 physics education students at Sulthan Thaha Saifuddin State Islamic University Jambi. The instrument consists of 47 force and motion material items to fit the Winsteps 3.65.0 program. The analysis results using the Rasch Model showed that the MNSQ Outfit was 1.00 in the person column and 0.1 in the item column. Judging from the ZSTD value of 0.57 for the person and 0.1 for the item, the Points Measure value correlated with 0.4 to 0.85 while the item reliability value was 0.73 and the Cronbach's Alpha value was 0.56. therefore, the test instrument using the Rasch proclamation model found 31 fit items. The analysis results show that the concept ability was poor since, on average, the students could only answer questions with a low index of difficulty category. The research results on the level of cheating obtained data that 100 percent of students were not indicated to have the same pattern. Lastly, for the level of depression, only 16 percent of students did not experience depression, while 84 percent of students experienced it.

Pengembangan Instrument Tes Berpikir Kritis Gen-Z Dalam Materi Manusia dan Cinta

A close correlation between gadgets and the internet makes it easier for Gen-Z to access information but tends to be low in critical thinking. Regrettably, the must-needed critical thinking process in absorbing information is usually missed as the process of copying or imitating all the information is way much easier to do. This research aims to develop a test instrument that can measure the critical thinking quality of Gen-Z (students at the Pontianak State Catholic High School). The test instrument developed focuses on the topic of humans and love, one of the materials contained in regional culture and multicultural subjects offered in the first semester. The test instrument developed using formative research can measure the quality of students' critical thinking. In addition, the test instrument has a value of validity, reliability, index of difficulty, and distinguishing power as determined.

ANALISIS BUTIR SOAL URAIAN MATA KULIAH PENGANTAR AKUNTANSI 1

The purpose of this study was to analyze the items in the form of essay items, given as a final exam in subject of introductory accounting 1. This question was given to nineteen students in semester 1 of the 2020-2021 academic year. This study used a descriptive method with a quantitative approach. For the purposes of analysis, the item analysis technique was used, which consisted of an analysis of the level of difficulty of the items and the analysis of the differentiating power of the items. Based on the results of the analysis, the results obtained that the questions made had an index of difficulty level as an easy question of 50% and an average question of 50%. And based on the results of the analysis of the differentiating power index, the questions included as questions that needed to be revised were 33.3% and questions that were not good were 67.7%.

A New Approach to Modeling the Prediction of Movement Time

Fitts’ law predicts the human movement response time for a specific task through a simple linear formulation, in which the intercept and the slope are estimated from the task’s empirical data. This research was motivated by our pilot study, which found that the linear regression’s essential assumptions are not satisfied in the literature. Furthermore, the keystone hypothesis in Fitts’ law, namely that the movement time per response will be directly proportional to the minimum average amount of information per response demanded by the particular amplitude and target width, has never been formally tested. Therefore, in this study we developed an optional formulation by combining the findings from the fields of psychology, physics, and physiology to fulfill the statistical assumptions. An experiment was designed to test the hypothesis in Fitts’ law and to validate the proposed model. To conclude, our results indicated that movement time could be related to the index of difficulty at the same amplitude. The optional formulation accompanies the index of difficulty in Shannon form and performs the prediction better than the traditional model. Finally, a new approach to modeling movement time prediction was deduced from our research results.

LenSelect: Object Selection in Virtual Environments by Dynamic Object Scaling

We present a novel selection technique for VR called LenSelect. The main idea is to decrease the Index of Difficulty (ID) according to Fitts’ Law by dynamically increasing the size of the potentially selectable objects. This facilitates the selection process especially in cases of small, distant or partly occluded objects, but also for moving targets. In order to evaluate our method, we have defined a set of test scenarios that covers a broad range of use cases, in contrast to often used simpler scenes. Our test scenarios include practically relevant scenarios with realistic objects but also synthetic scenes, all of which are available for download. We have evaluated our method in a user study and compared the results to two state-of-the-art selection techniques and the standard ray-based selection. Our results show that LenSelect performs similar to the fastest method, which is ray-based selection, while significantly reducing the error rate by 44%.

An Agent-Specific Stochastic Model of Generalized Reaching Task Difficulty

The ability of an agent to accomplish a trajectory during a certain motor task depends on the fit between external (environment) and internal (agent) constraints, also known as affordance. A model of difficulty for a generalized reaching motor task is proposed as an affordance-related measure, as perceived by a specific agent for a given environment and task. By extending the information-based Index of Difficulty of a trajectory, a stochastic model of difficulty is formulated based on the observed variability of spatial trajectories executed by a given agent during a repetitive motor task. The model is tested on an experimental walking dataset available in the literature, where the repetitive stride movement of differently aged subjects (14 “old” subjects aged 50–73; 20 “young” subjects aged 21–37) at multiple speed conditions (comfortable, ~30% faster, ~30% slower) is analyzed. Reduced trajectory variability in older as compared to younger adults results in a higher Index of Difficulty (slower: +24%, p < 0.0125; faster: +38%, p < 0.002) which is interpreted in this context as reduced affordance. The model overcomes the limits of existing difficulty measures by capturing the stochastic dependency of task difficulty on a subject’s age and average speed. This model provides a benchmarking tool for motor performance in biomechanics and ergonomics applications.

A New Approach to Modeling the Prediction of Movement Time

Fitts' law predicts the human movement response time for a specific task by a simple linear formulation, in which the intercept and the slope are estimated from the task's empirical data. This research was motivated by our pilot study, which found that the linear regression's essential assumptions are not satisfied in the literature. Furthermore, the keystone hypothesis in Fitts' law, that the movement time per response will be directly proportional to the minimum average amount of information per response demanded by the particular amplitude and target width, has never been formally tested. Therefore, this study developed an optional formulation derived from fusing the findings in psychology, physics, and physiology for fulfilling the statistical assumptions. An experiment was designed to test the hypothesis in Fitts' law and validate the proposed model. To conclude, our results indicated that movement time could be related to the index of difficulty underlying the same constant amplitude. The optional formulation accompanies the index of difficulty in Shannon form robustly performs the prediction better than the traditional model across studies. Finally, a new approach to modeling movement time prediction is deduced from our research results

What Makes a UI Simple? Difficulty and Complexity in Tasks Engaging Visual-Spatial Working Memory

Tasks that imply engagement of visual-spatial working memory (VSWM) are common in interaction with two-dimensional graphical user interfaces. In our paper, we consider two groups of factors as predictors of user performance in such tasks: (1) the metrics based on compression algorithms (RLE and Deflate) plus the Hick’s law, which are known to be characteristic of visual complexity, and (2) metrics based on Gestalt groping principle of proximity, operationalized as von Neumann and Moore range 1 neighborhoods from the cellular automata theory. We involved 88 subjects who performed about 5000 VSWM-engaging tasks and 78 participants who assessed the complexity of the tasks’ configurations. We found that the Gestalt-based predictors had a notable advantage over the visual complexity-based ones, as the memorized chunks best corresponded to von Neumann neighborhood groping. The latter was further used in the formulation of index of difficulty and throughput for VSWM-engaging tasks, which we proposed by analogy with the infamous Fitts’ law. In our experimental study, throughput amounted to 3.75 bit/s, and we believe that it can be utilized for comparing and assessing UI designs.