Integrating Digital Technologies in Accounting Preservice Teacher Education

The importance of developing technological skills at the undergraduate level to form better professionals is no longer questionable, assuming a particular role in subjects as accounting education. However, it appears that technologies are still weakly used in education and training. This article intends to analyse i) how students' technological skills development can be promoted, ii) in what way the integration of digital technologies in the curriculum is managed, and iii) what influence teaching, assessment and learning methods have, in the development of generic skills, especially technological skills. Presents a case study in the master's degree in Economics and Accounting Teaching, that forms teachers to vocational secondary education in this area. A qualitative approach was used with the support of participant observation and a questionnaire to finalist students. The case study is based on the active teacher training model that promotes technological skills using teaching and assessment methods for active learning.

Palliative and End of Life Care in Undergraduate Medical Education: A Survey of New Zealand Medical Schools

Background: In New Zealand, 34% of deaths occur in the hospital setting where junior doctors are at the frontline of patient care. The death rate in New Zealand is expected to double by 2068 due to the aging population, but many studies report that graduates feel unprepared to care for people near the end of life and find this to be one of the most stressful parts of their work. International guidelines recommend that palliative and end of life care should be a mandatory component of undergraduate medical education, yet teaching varies widely and remains optional in many countries. Little is known about how medical students in New Zealand learn about this important area of clinical practice. The purpose of this study was to investigate the organisation, structure and provision of formal teaching, assessment and clinical learning opportunities in palliative and end of life care for undergraduate medical students in New Zealand.Methods: Quantitative descriptive, cross-sectional survey of module conveners in New Zealand medical schools.Results: Palliative and end of life care is included in undergraduate teaching in all medical schools. However, there are gaps in content, minimal formal assessment and limited contact with specialist palliative care services. Lack of teaching staff and pressure on curriculum time are the main barriers to further curriculum development.Conclusions: This article reports the findings of the first national survey of formal teaching, assessment and clinical learning opportunities in palliative and end of life care in undergraduate medical education in New Zealand. There has been significant progress towards integrating this content into the curriculum, although further development is needed to address barriers and maximise learning opportunities to ensure graduates are as well prepared as possible.

Reform Exploration on Researching Experimental and Practical Teaching

Under the background of first-class course construction and according to the characteristics of the elastic-plastic mechanics course content, through the construction of diversified researching experimental teaching mode, the design of project-based researching innovative experimental content and the construction of hybrid experimental teaching assessment and evaluation system, Breaking through the barrier between the teaching of elastic-plastic mechanics theory and practical application, cultivating students' independent researching and innovation ability to master the theoretical knowledge of elastic-plastic mechanics and its application in practice, improving students' ability to find, analyze, solve and think independently, and providing a strong curriculum teaching foundation for the cultivation of first-class undergraduate talents.

Some Issues of Electronic Teaching and Assessment System in Non-Georgian Speaking Groups

Assessment plays an important role in the planning and implementation process of teaching. Assessment is a continuous process of collecting, recording and analyzing quality data to achieve learning objectives, a consistent study of the success and progress of language learners.In this paper we discuss the issues of teaching and assessment of Georgian as a foreign language. First of all, we will discuss some strategies related to learning process. We will present our innovation in the assessment system. This is a novelty that we have worked on with our colleagues at Batumi Shota Rustaveli State University within the short-term educational program “Georgian Language for Foreigners”.In this work we will discuss about how to use the electronic resources to develop specific language competencies and assess the knowledge based on relevant materials. We note that the article mainly reflects our personal experience, which we have accumulated in the teaching process, the innovations that we have tried to introduce to groups of non-Georgian listeners.

An Analysis of Strategies for Teaching and Assessing Standards-Based Assessment Design to Preservice Teachers

Research consistently shows that solid assessment designs lead to better student learning outcomes. The development of well-designed assessments presents a challenge to preservice teachers in their attempts to master the process and to the teacher educators who instruct them. This exploratory study examined strategies for teaching assessment design utilized by 87 teacher educators in the United States. Analysis of the results showed that expository, collaborative, and hands-on approaches were used, with assessment approaches aligning to structured or unstructured approaches. Data also revealed that the participants tended to focus more on the vocabulary related to assessments rather than the strategies for design.

Deep Convolutional Neural Network and Weighted Bayesian Model for Evaluation of College Foreign Language Multimedia Teaching

In colleges and universities, teaching quality evaluation is an integral part of the teaching management process. Many factors influence it, and the relationship between its evaluation index and instructional quality is complicated, abstract, and nonlinear. However, existing evaluation methods and models have flaws such as excessive subjectivity and randomness, difficulty determining the weight of indicators, easy over-fitting, slow convergence speed, and limited computing power, to name a few. Furthermore, the evaluation index system focuses primarily on teaching attitude, material, and methods, rarely taking into account preparation prior to teaching or the teaching situation throughout the teaching process, resulting in an incomplete evaluation. As a result, learning how to construct a model for objectively, truly, thoroughly, and accurately assessing the teaching quality of colleges and universities is beneficial not only to improving teaching quality but also to promoting scientific decision-making in education. This paper develops a teaching assessment model using a deep convolutional neural network and the weighted Naive Bayes algorithm. Based on the degree of influence of different characteristics on the assessment outcomes, a method to estimate the weight of each evaluation characteristic by employing the related probability of class attributes is proposed, and the corresponding weight is assigned for each evaluation index, resulting in a classification model ideal for teaching assessment that promotes standardization and intelligibility.

Feasibility of virtual mock trials as a parallel teaching-assessment activity for student pharmacists at two American pharmacy programmes during the COVID-19 pandemic and beyond

Background: Student-pharmacists forced into remote-learning by the COVID-19 pandemic participated in a Virtual Mock Trial (VMT). Objectives: Feasibility of VMTs was assessed by evaluating student VMT performance, student perceptions on technology and overall experiences. Methods: The VMT was implemented via video conferencing technology in April 2020. Faculty-judges and student-jurors observed/rated student performance using pre-established rubrics. A post-VMT survey was administered electronically. Descriptive analyses were performed, and Wilcoxon-Mann-Whitney tests were conducted to compare programmes. Results: Forty-six students from Programme A (East Coast, USA) and 89 from Programme B (West Coast, USA) participated in the VMTs. The faculty-judges’ evaluation scores for student performance ranged from 85.0% to 96.7%, while the student-jurors’ evaluation scores ranged from 68.3% to 100%. Student perceptions on the four categories regarding technology use all had means > 5 on a 7-Point Likert Scale. More than 79.0% of students rated their VMT experience positively (i.e. 6 or 7). Conclusions: VMT is feasible for the current pandemic remote-learning environment, and it could be replicated in other pharmacy or healthcare programmes to enrich students' active learning in virtual education.

A Linked-Data Method to Organize an XML Database for Mathematics Education

This paper presents work in progress to support fine-grained semantic relationships between mathematical concepts and educational resources. Can RDF ontologies and XML structure support a high-capacity database application for lesson planning, teaching, assessment, and tutoring?

Improving the Assessment of Teaching Effectiveness With the Nonequivalent Dependent Variables Approach

Introduction: Assessing teaching effectiveness is relevant for improving one’s teaching and for moving through the tenure process; however, the validity of assessment methods, such as Student Evaluations of Teaching (SET), have been heavily criticized. Statement of the Problem: Using a one–group pretest–posttest design and assessing learning over the semester has several advantages over SET; however, one drawback is in making conclusions about the cause of changes in the post-test. A change could be due to learning in the semester, maturation, history, or even a testing effect. Literature Review: To improve the inferential quality of teaching assessment, a nonequivalent dependent variable (DV) design is highly advantageous. A nonequivalent DV is an outcome that is not the target of the intervention yet responds to the same contextually relevant factors. Teaching Implications: By using a nonequivalent DV design, there might be an increase from the beginning of the semester to the end of the semester in the main DV, but no increase in the nonequivalent DV, which provides a stronger argument that the change in the main DV is due to a true learning effect. Conclusion: Using nonequivalent DV methodology improves inferential quality and is easily implemented.