Professional development in classroom assessment techniques plays a crucial role in enhancing student learning outcomes. The preferred reporting items for systematic review and meta-analysis (PRISMA)-guided systematic review of the research literature assesses these programs to identify effective methodologies, research limitations, and trends in…

The patterns of skills in adults who have difficulty with reading may be different from those of children, and thus applying and interpreting methods of measurement may be complex. The goal of this study was to examine the relations among reading skills in this population, by modeling specific reading skills and method of measurement…

For at least half a century, there has been a broad consensus that indoctrination is a pernicious form of miseducation and a distinctive vice of teaching. In recent years, a number of educational theorists have sought to cast doubt on this view. They suggest that the attention traditionally given to the threat of indoctrination, and the anxiety…

Test items with problematic options often require revision to improve their psychometric properties. When an option is identified as ambiguous or nonfunctioning, the traditional approach involves removing the option and conducting another field test to gather new response data--a process that, while effective, is resource-intensive. This study…

In this chapter, the author shares her journey and experiences with decolonization through the development of the Disrupting interview, collaborations with colleagues, and the re-examination of disciplinary research and teaching practices.

Rigor evaluation in mixed methods research is a growing need. Linking rigor to Hong and Pluye's (2019) concepts of methodological and reporting quality, the purpose of this article is to operationalize and expand Harrison et al.'s (2020) Rigorous Mixed Methods Framework. Drawing from a systematic methodological review of 66 inclusive education…

Since the establishment of the "Journal of Political Science Education" (JPSE) in 2004, the Scholarship of Teaching and Learning has become more rigorous and data-based, thanks in large part to the efforts of editors, peer-reviewers, and submitters to the journal. Where does the field go from here? I argue that our greatest strengths lie…

We conducted a component analysis of skill acquisition consequences for correct and incorrect responses. In the learn unit (LU) condition, researchers praised correct responses and implemented a correction procedure contingent on incorrect responses. In the praise-only-for-correct-responses (PC) condition, researchers delivered contingent praise…

Intrapreneurship skill has considered as the alternative learning outcomes of entrepreneurship education. However, entrepreneurship teachers need a complex learning program to develop intrapreneurship among business students. At the same time, The Ministry of Education and Culture of The Republic of Indonesia recommends university teachers…

Educational robotics (ER) is a discipline of applied robotics focused on teaching robot design, analysis, application, and operation. Traditionally, ER has favored rigid robots, overlooking the potential of soft robots (SRs). While rigid robots offer insights into dynamics, kinematics, and control, they have limitations in exploring the depths of…

Nontraditional grading methods have recently become more common, and as with any large pedagogical shift, there are a number of questions to consider when applying a new grading scheme to a course. This article summarizes four types of nontraditional grading and shares experiences from the authors who have applied them to a variety of courses in…

A comparison of student performance in an introductory biology class that used a lecture-based approach (N = 15 classes; 462 students) with those that had a no-lecture approach (N = 9 classes; 238 students). All classes were taught by the principal researcher. In the no- lecture environment, shifts in student perceptions of science were…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

This paper aims to characterize critical events noticed by novice mathematics teacher-educators (NMTEs) while they facilitate teacher education sessions. Twenty-four NMTEs enrolled in a university course on teaching teachers were asked to facilitate a series of three sessions with preservice teachers, identify critical events from those sessions…

Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…