Predicting students' learning outcomes is one of the main topics of interest in the area of Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning methods has been successfully applied for solving a variety of predictive problems. However, it is of utmost importance for both educators and data scientists to…

In this study, we aim to examine the phases of inquiry-based learning and how to best prepare future teachers for inquiry-based teaching. While preservice teachers may leave teacher preparation with an understanding of the tenets of inquiry, their experiences in methods courses and experiences teaching in the field do not adequately prepare them…

We describe a professional development program to help students retrieve content they learned in class, retain it, and apply it in different contexts to solve novel problems using cognitive learning strategies. These strategies range from simple electronic flashcards for basic memory retrieval strategies to low-stakes quizzes for spaced-out and…

Preparing elementary students to think and communicate like an engineer is possible, but requires a sequence of lessons spanning multiple classroom experiences that are aligned to multiple performance expectations (PEs). This article identifies how multiple PEs can be clustered to meet the instructional goals set forth in the "Next Generation…

We respond to Malatinszky and Armor's, and Marks' comments on our article recently published in this journal. We agree with Marks in the use of prior achievement to control for spurious effects in school effects research. Marks makes an incorrect statement about our article, refers to dated critiques, and presents an empirical demonstration with…

S-X[superscript 2] is a popular item fit index that is available in commercial software packages such as "flex"MIRT. However, no research has systematically examined the performance of S-X[superscript 2] for detecting item misfit within the context of the multidimensional graded response model (MGRM). The primary goal of this study was…

In undergraduate chemistry curricula that include computational modeling, students may gain first-hand experience in both introductory and advanced applications of this technique. However, although students can be exposed to the predictive power of computational work, its capabilities are often limited to determining the intrinsic properties of…

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…

Open educational resources (OERs) have increased in popularity and are becoming an important method of providing access to, and enhancing, the teaching and learning experience for both lecturers and students. Despite their popularity, approaches that may work best for sustaining OER initiatives in Nigerian universities are still evolving in…

There has been a lot of interest to competence-based education in research and scholarship. How competence-based education has been developed and implemented varies across education systems in Europe. The European Commission defines digital competence as one of the eight key competence standards for lifelong learning. The European digital…

Role models can exert considerable influence in shaping individuals' values, attitudes, and beliefs. A large body of work in the social sciences has investigated the influence of celebrity role models, and in the context of education, several disciplines have a rich research history in this area (e.g. medical education). However, in the context of…

This exploratory qualitative study examined how community college advising coordinators describe their roles within the context of institutional advising models. Conducted to address the lack of empirical research concerning advising coordinators, we determined to uncover what institutional and administrative challenges advising coordinators may…

The current study aimed to investigate the effectiveness of RANDAI learning model that was produced from the integration of Minangkabau culture and Problem Based Learning (PBL), in enhancing pre-service biology teachers' critical thinking skills. This experimental study used a nonequivalent pretest-posttest control group design and involved 107…

Exploratory data analysis (EDA) is an iterative, open-ended data analysis procedure that allows practitioners to examine data without pre-conceived notions to advise improvement processes and make informed decisions. Education is a data-rich field that is primed for a transition into a deeper, more purposeful use of data. This article introduces…

One of the primary goals of higher education is to enhance students' critical thinking skills as they work to complete their program of study. As such, it is for critical educators and academic program coordinators to have access to assessment tools that can provide accurate estimates of the cognitive and dispositional domains of higher-order…