Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…

Family income questions in general purpose surveys are usually collected with either a single-question summary design or a multiple-question disaggregation design. It is unclear how estimates from the two approaches agree with each other. The current paper takes advantage of a large-scale survey that has collected family income with both methods.…

This study, grounded in a phenomenological exploration, investigates whether current teacher evaluation methods account for subjectivism in teaching, learning, and evaluation within the context of Georgia's Teacher Keys Effectiveness System TKES. Through focus groups with instructional evaluators IEs, the study reveals the significant impact of…

This paper details how to effectively share three-dimensional geological models using data conversion between two mainstream mining software, Micromine and Surpac. It also discusses the impact of this conversion method on geological integrated exploration decision-making guidance. The current situation primarily manifests in the fact that both…

Data reported from memory can be unreliable. A simple activity lets students experience this firsthand.

Feedback on student assignments plays a crucial role in steering students toward academic success. To provide feedback more promptly and efficiently, researchers are actively exploring the use of large language models (LLMs) to automatically generate feedback on student artifacts. Although the generated feedback is highly fluent, coherent, and…

In the context of virtual learning communities (VLCs), where the participants may not know each other, it is necessary to have a mechanism to help when deciding who to work with and what reliable contents and information sources are. This study aims to design a generic trust model, named T-VLC, applicable to VLCs, which can be adapted to different…

Computer-Aided Detection (CAD) has been proposed to help operators search for cancers in mammograms. Previous studies have found that although accurate CAD leads to an improvement in cancer detection, inaccurate CAD leads to an increase in both missed cancers and false alarms. This is known as the over-reliance effect. We investigated whether…

In this longitudinal study, we investigated the factor structure and stability of early-life temperament in a German sample, using three measures developed within Rothbart's psychobiological approach. Temperament was measured using the Infant Behavior Questionnaire Revised (IBQ-R) at the ages of 6 and 12 months, the Early Childhood Behavior…

Researchers who work with ordinal rating scales sometimes encounter situations where the scale categories do not function in the intended or expected way. For example, participants' use of scale categories may result in an empirical difficulty ordering for the categories that does not match what was intended. Likewise, the level of distinction…

Background: Perceptual evaluation of speech disorders produces scores that poorly predict the consequences of speech impairment on the communication abilities of patients treated for oral/oropharyngeal cancer. This may be mitigated by automatic speech analysis. Aim: To measure communication and speech impairment using automatic analyses of…

Value added models (VAMs) attempt to estimate the causal effects of teachers and schools on student test scores. We apply Generalizability Theory to show how estimated VA effects depend upon the selection of test items. Standard VAMs estimate causal effects on the items that are included on the test. Generalizability demands consideration of how…

Mangrove forests play a crucial ecological role in coastal protection, biodiversity maintenance, and carbon sequestration. However, their sustainability is increasingly threatened by human activities and environmental degradation. This study aims to investigate the impact of community ecological intelligence (CEI) on the long-term survival of…

Sourcing information related to socio-scientific issues requires sophisticated literacies to read and evaluate conflicting accounts often signified by disagreement among experts, multiple solutions or misinformation. Much of the previous work exploring how young people approach conflicting information has tended to focus on students in the…

While large language models (LLMs) continue to grow in scale and gain new zero-shot capabilities, their performance for languages beyond English increasingly lags behind. This gap is due to the "curse of multilinguality," where multilingual language models perform worse on individual languages than a monolingual model trained on that…