This article explores the efficacy of AI used for teaching and learning tools. First, it examines three critical aspects of AI use in teaching and learning: AI complexity, algorithmic transparency, and AI bias. Second, it reviews recent literature that investigates the benefits and challenges of implementing AI within college classrooms. It…

This literature review provides an overview of the various modern approaches in talent programs for the context of schools and sports reported in scientific journals (2009-2019) and presents their similarities and differences and options for cross-pollination between contexts. This is a first attempt to overarch contexts regarding talent…

Purpose: The purposes of this meta-review are to (a) articulate the importance of transparency and reproducibility in meta-analysis, (b) assess the transparency and reproducibility of meta-analyses published in journals of the American Speech-Language-Hearing Association (ASHA), and (c) discuss the implications of our findings and recommendations…

Ongoing or recently completed across the United States are a series of lawsuits via which teacher plaintiffs are contesting how they are being evaluated using value-added models (VAMs) as part of states'/districts' teacher accountability systems. To investigate the empirical and pragmatic matters addressed in court, researchers conducted a case…

With artificial intelligence (AI) is extensively applied in education, human-centered AI (HCAI) has become an active field. There although has been increasing concern about how to systematically enhance the AI applications effect, AI risk governance in HCAI education has not been discussed yet. This study adopted literature meta-analysis, along…

As awareness of bias in educational machine learning applications increases, accountability for technologies and their impact on educational equality is becoming an increasingly important constituent of ethical conduct and accountability in education. This article critically examines the relationship between so-called algorithmic fairness and…

Higher education institutions and faculty have vested interests in fair tenure processes. We explored perceptions of fairness from the perspective of faculty who did not obtain tenure. Our 22 participants indicated that they experienced organizational justice violations related to distributive justice (fairness of decisions), procedural justice…

A framework of cultural humility includes three main tenets: (1) commitment to lifelong, critical self-reflection; (2) recognition and mitigation of power imbalances; and (3) accountability to individuals and institutions. In this article, I aim at applying the concept of cultural humility to frame my analysis of musical diversity in music…

The use of teams and team-centric pedagogies such as Team Based Learning (TBL) in classrooms has been shown to increase engagement and lead to better overall learning outcomes. Because of these positive outcomes, the use of teams is recommended in many educational fields, including engineering. For many instructors, especially those using teams,…

Recent lawsuits reveal common mistakes plaguing current teacher evaluation systems. Drawing on arguments in court documents for prominent cases, the authors find that evaluation systems using value-added measures (VAM) suffer from a) inconsistent and unreliable teacher ratings, b) bias toward and against teachers of certain types of students, c)…

Business psychologists study and assess relevant individual differences, such as intelligence and personality, in the context of work. Such studies have informed the development of artificial intelligence systems (AI) designed to measure individual differences. This has been capitalized on by companies who have developed AI-driven recruitment…

This paper offers a critical review of a report published in March by the Citizens Research Council of Michigan titled "Improving Oversight of Michigan Charter Schools and Their Authorizers." The report argues that charter schools and charter school authorizers need more oversight. Making the case for this position might include…

Contemporary teacher evaluation systems are built upon multiple measures including, primarily, teacher-level value-added and observational estimates. While researchers have conducted examinations of these systems and indicators, researchers have not investigated how using these systems might distort the validity of the inferences being drawn,…

State and federal accountability policies are predicated on the ability to estimate valid and reliable measures of school impacts on student learning. The typical spring-to-spring testing window potentially conflates the amount of learning that occurs during the school year with learning that occurs during the summer. We use a unique dataset to…

This paper identifies a nascent trend in several countries regarding increased collection, public availability and use of destination data for graduates of secondary education, with policy ambitions to support pupil-level decision-making and drive provider-level accountability. This trend mirrors the previous development of such data for higher…