With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…

The ability to think critically in the 21st century is a skill that must be possessed by every individual. This study, uses a UbD-based problem-based learning model with a conventional learning model to see which learning model has more influence on the critical thinking ability of grade IV students in science subjects. The UbD approach was chosen…

Purpose: The general goal of this paper is to help educators understand the importance of MOOC training to school teachers and their hypothetical value for predicting the use of teaching strategies in the face-to face-classroom teaching. With this purpose, the study is guided by two research questions: (1) Are there different patterns of…

Face-to-face education continues to present benefits in terms of student motivation, even though in COVID-19 scenario, online education has been the model of choice. In addition to the traditional face-to-face style, the intensive face-to-face style remains, which allows greater flexibility for the student. The objective of this study was to…

The aim of the current research is to develop a STEM-based digital classroom learning model based on the 21st-century skills and characteristics of elementary school students. To enable the dissemination of this learning model, further research is needed to determine the effect of the STEM-based digital classroom learning model on the 21st century…

The effect of symbolic form model on students' interest in logic content of the mathematics curriculum was investigated in this study. The research was guided by three research questions and three hypotheses. The study used a quasi-experimental design. The population of this research was 2,342 SS2 learners in Enugu State, Nigeria. A sample of 172…

This article considers the value of honors education beyond its marked contributions to enrollment management goals. Suggesting that quantitative assessments toward understanding the value of honors fail to capture its breadth, interdisciplinary focus, and engagement, authors posit a new way of measuring impacts from "contagion model"…

Learners' autonomous learning is at the heart of modern education, and the convenient network brings new opportunities for it. We notice that learners mainly use the combination of online and offline learning methods to complete the entire autonomous learning process, but most of the existing models cannot effectively describe the complex process…

Higher education in science, technology, engineering, and mathematics (STEM) disciplines has been in a turbulent period for several decades. Pressures for reform include declining STEM student enrollments, high attrition rates from STEM curricula, and the rise of powerful alternative teaching strategies shown by cognitive science and educational…

Communities in California and around the country are implementing learning hubs to provide in-person education supports to students who are distance learning. In this brief, we explore a prevalent learning hub model and raise considerations for local policymakers, schools, and expanded learning partners. We include guidance for the design and…

A model of instruction is a set of strategies that guide teachers in their instructional practice. The purpose of this paper is to dispel the myth that mathematics teaching in Singapore schools is all about drill and practice, as perceived of many Asian systems. This paper draws on data of a large project that examined the enactment of school…

Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…

The recent COVID-19 pandemic has forced many institutes of higher learning across the globe to consider alternative modes of providing quality learning for students. However, developing and implementing safe spaces for academic advisement in online platforms that allow college students to explore their environment in an open and curious manner is…

The newsvendor problem is a classic problem of decision making under risk that is taught in traditional Operations and Supply Chain Management classes as a single-period inventory problem. We discuss the following three pedagogical points of interest to any instructor tasked with teaching this topic: a) why the newsvendor model is relevant in this…

This article demonstrates how, at a time when learners may be experiencing fear and chaos in other aspects of their lives, a focus on language task engagement is essential across both online and offline language learning contexts. It presents a model of language task engagement and describes why and how teachers can use it to support learner…