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The conceptual framework of mathematical modeling (e.g., Lesh & Doerr, 2003) is a vital area in mathematics education research, and its implementation has potential for deeply involving children in integrated and meaningful learning. In mathematical modeling learners are active agents in content-integrated, real-world problem solving. This emphasis on integrating multiple content areas to answer big questions, the pursuit of mathematical modeling, descends from Dewey’s work. We present the definition, principles, and design of modeling practices for readers who may be familiar with early childhood curriculum but less so with using modeling for learning. We explore the application of mathematical modeling to early childhood classrooms and its compatibility with early childhood pedagogies and philosophies. Young children may often be underestimated, assumed to be unable to pose big questions that can be answered through activity, experience, and data; but we discuss how young children can be engaged in problems through mathematical modeling. Finally, as preservice teacher educators, we discuss preparing preservice and in-service teachers for modeling in their classrooms. We offer examples and guidance for early childhood teachers to engage in authentic practice – meeting children where their interests are and creating integrated problem-solving experiences.

One way to improve the quality of business and software processes is to make them compliant with standard. This paper seeks to explore the suitability of the BPMN and the teaching method for process modeling, which uses SEI CMMI‐SW standard as input and produces software process models as output.

The research approach consists of two parts. First, the students' responses during practical lectures of process modeling were gathered and studied. Then, the teaching process was modified and students' responses were studied again. The second part involves the survey about students' attitude towards BPMN usability and ease of use.

There are two key findings of the study. First, using the SEI CMMI‐SW standard in early phases of software process modeling is not very effective, because it overloads the students with abstract requirements, which are included in the standard. The more effective way is to use the standard in later phases of process modeling, in the phase of assessment and improvement of the process model. The second key finding is that there is a positive attitude among students towards BPMN usage for process modeling.

There is no evidence that this teaching approach can be generalized beyond the population of information science students and academic environment.

The improved teaching method for business and software process modeling can be used in similar environments (practical lectures of process modeling). Although there is no evidence, quality managers from organizations can also benefit from the lesson learned and avoid a less suitable process‐modeling approach.

The paper is useful to all roles in education and businesses, who deal with process models and standards (teachers, business and software analysts, quality managers, process designers).

The paper explored the benefits as well as the concerns of vocabulary learning with clay modeling in terms of practical and pedagogical implications for creating positive learning experiences.

A mixed-methods design was conducted to examine the effectiveness of vocabulary learning with clay modeling practices in lower socioeconomic status schools.

Although test results showed no statistically significant differences between the groups, the clay modeling group did improve vocabulary acquisition similar to the sentence writing group. The students were actively engaged with hands-on activities using the clay and also demonstrated positive emotional, behavioral and physical experiences.

The addition of the clay modeling provided an opportunity for kinesthetic learning but created a high extraneous cognitive load with the challenges incurred through the use of clay.

The challenges can be reduced by 1) adopting appropriate instructional strategies to design and implement effective clay modeling activities for students and teachers, 2) providing training or professional workshop development for teachers and 3) ongoing practical support and assistance for students.

Exploring the use of kinesthetic instructional practice at the high school level may prove beneficial since clay modeling is frequently used effectively at lower grade levels.

The current study explores the added value of clay modeling for high school students’ biology vocabulary learning in a lower socioeconomic status school from practical and pedagogical perspectives.

StarLogo is a computer modeling tool that empowers students to understand the world through the design and creation of complex systems models. StarLogo enables students to program software creatures to interact with one another and their environment, and study the emergent patterns from these interactions. Building an easy‐to‐understand, yet powerful tool for students required a great deal of thought about the design of the programming language, environment, and its implementation. The salient features are StarLogo's great degree of transparency (the capability to see how a simulation is built), its support to let students create their own models (not just use models built by others), its efficient implementation (supporting simulations with thousands of independently executing creatures on desktop computers), and its flexible and simple user interface (which enables students to interact dynamically with their simulation during model testing and validation). The resulting platform provides a uniquely accessible tool that enables students to become full‐fledged practitioners of modeling. In addition, we describe the powerful insights and deep scientific understanding that students have developed through the use of StarLogo.

Modeling is a potentially productive activity in which coaches can engage teachers to support teaching and learning (Gibbons and Cobb, 2017). Yet, there is a lack of empirical research that describes how coaches can productively implement this activity with teachers. The overarching purpose of this study was to explore the challenges and support coaches faced while modeling instruction for teachers.

Twenty-nine semi-structured interviews were conducted with five coaches and six elementary teachers in two different school districts in the United States. The data were qualitatively coded using a combination of literature-driven and emergent codes.

Participants identified 16 distinct challenges they faced during coaching cycles involving modeling, and 11 supports that could ultimately enhance the success of the modeled lesson for all involved parties. These challenges and support spanned the broad categories of contextual factors, management and logistics, pedagogical dilemmas and teacher learning.

Although modeling is a popular coaching activity, researchers have only an emerging understanding of the challenges associated with modeling instruction, as well as the support that can enhance the modeled lesson's success. By having a thorough understanding of such challenges and support, coaches can effectively leverage modeling to support teaching and learning at their schools. Hence, the findings from this study will importantly inform coaching practice, as well as future research directions.

This paper aims to report on a project aimed at using simulation for improving the quality of teaching and learning modeling skills. More specifically, the project goal was to facilitate the students to acquire skills of building models of organizational structure and behavior through analysis of internal and external documents, and interviews with employees and management. An important skill that practitioners in the information systems field need to possess is the skill of modeling information systems. The main problem with acquiring modeling skills is to learn how to extract knowledge from the unstructured reality of business life.

To achieve the goal, a solution was introduced in the form of a computerized environment utilizing multimedia to simulate a case of an apprenticeship situation. The paper gives an overview of the problem that the solution addresses, presents the solution and reports on the trial completed in a first-year undergraduate course at Stockholm University.

The results of the trial indicate that using rich multimedia along with a case-based learning approach did improve the overall performance of the students. It was also shown that both students’ and the teachers’ attitudes toward the solution were positive.

The solution presented in this paper, using computer simulation in teaching/learning by focusing on an apprenticeship situation, can be reused by other university teachers, especially in the Information Systems discipline. This solution can thus be used in teaching, system design, requirements engineering, business analysis and other courses typical for information systems.

Interest is currently growing in open social learner modeling (OSLM), which means making peer models and a learner's own model visible to encourage users in e-learning. The purpose of this study is to examine students' views about the OSLM in an e-learning system.

This case study was conducted with 40 undergraduate students enrolled in advanced programming and database management system courses. A Likert-type questionnaire and open-ended questions were used to obtain the students' views. System usage data were also analyzed to ensure the richness and diversity of the overall data set.

The quantitative data of the students' views were analyzed with descriptive statistics; the results are presented as graphics. The qualitative data of the students' views were examined by content analysis to derive themes. These themes are organized into four subtopics: the students' positive views, their negative views, their improvement suggestions and their preferences about using similar OSLM visualizations in other e-learning systems. The students' subjective views are discussed in the context of their recorded interactions with the system.

Competition due to seeing peer models was considered by participants both as positive and negative features of the learning system. So, this study revealed that, the ways to combine peer learner models to e-learning systems that promote positive competition without resulting social pressure, still need to be explored.

By combining open learner models with open peer models, OSLM enhances the learning process in three different ways: it supports self-regulation, encourages competition and empowers self-evaluation. To take advantage of these positive contributions, practitioners should consider enhancing e-learning systems with both own learner and peer model features.

Despite increasing interest in OSLM studies, several limitations and problems must be addressed such as sparsity of data and lack of study of different contexts and cultures. To date, no published study in this area exists in Turkey. The purpose of this study is to fill this gap by examining OSLM features in an e-learning system from the perspectives of Turkish students by using both their system interaction data and their subjective views.

This study aims to propose a blackboard approach using multistrategy machine learning student modeling techniques to learn the properties of students' inconsistent behaviors during their learning process.

These multistrategy machine learning student modeling techniques include inductive reasoning (similarity‐based learning), deductive reasoning (explanation‐based learning), and analogical reasoning (case‐based reasoning).

According to the properties of students' inconsistent behaviors, the ITS (intelligent tutoring system) may then adopt appropriate methods, such as intensifying teaching and practicing, to prevent their inconsistent behaviors from reoccurring.

This research sets the learning object on a single student. After the inferences are accumulated from a group of students, what kinds of students tend to have inconsistent behaviors or under what conditions the behaviors happened for most students can be learned.

The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.

The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper.

The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter.

First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study.

The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering.

This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.

As illustrated by coronavirus disease 2019 (COVID-19), epidemic models are powerful health policy tools critical for disease prevention and control, i.e. if they are fit for purpose. How do people ensure this is the case and where does health education fit in?

This research takes a multidisciplinary approach combining qualitative secondary and primary data from a literature review, interviews and surveys. The former spans academic literature, grey literature and course curriculum, while the latter two involve discussions with various modeling stakeholders (educators, academics, students, modeling experts and policymakers) both within and outside the field of epidemiology.

More established approaches (compartmental models) appear to be favored over emerging techniques, like agent-based models. This study delves into how formal and informal education opportunities may be driving this preference. Drawing from other fields, the authors consider how this can be addressed.

This study offers concrete recommendations (course design routed in active learning pedagogies) as to how health education and, by extension, policy can be reimagined post-COVID to make better use of the full range of epidemic modeling methods available.

There is a lack of research exploring how these methods are taught and how this instruction influences which methods are employed. To fill this gap, this research uniquely engages with modeling stakeholders and bridges disciplinary silos to build complimentary knowledge.