The artificial intelligence methods might be applied to see through the education problems, and make effective prediction and decision. The transformation from data to decision are inseparable from the learning analytics. In order to solve the dynamic multi-objective decision problems, a decision learning algorithm is designed to analyze the…

Effective undergraduate statistical education requires training using real-world data. Textbook datasets seldom match the complexities and messiness of real-world data and finding these datasets can be challenging for educators. Consulting and industrial datasets often have nondisclosure agreements. Academic datasets often require subject area…

The use of digital technology has the potential to support students' understanding in the mathematics classroom with the teacher playing a vital role. However, teaching with digital technology is not trivial, especially for teachers who are new to this. In this paper, we present an analysis of the enactment of a function lesson of a Sri Lankan…

The annual budgeting process is a valuable opportunity for districts to systematically examine both resource use and programming. They can then use the findings to optimize resource use and improve program efficacy in ways that will lead to increased student achievement. Bo Yan and Thomas Aberli discuss three root causes for districts' inability…

College students make job decisions without complete information. As a result, they may rely on misleading heuristics ("interesting jobs pay badly") and pursue options misaligned with their goals. We test whether highlighting job characteristics changes decision making. We find increasing the salience of a job's monetary benefits…

Over five decades of research have documented a central challenge: School leaders are confronted with a deluge of simultaneous demands. These demands have intensified in the past few decades, amidst the standards-based accountability movement and the COVID pandemic. Yet, school leaders - like all people - have limited time, energy, and effort…

Despite the importance of centering autistic perspectives in educational decision-making for autistic children, few studies have directly assessed autistic perspectives on the social acceptability of early childhood practices. We conducted an online survey to recruit perspectives of autistic adults on a current, comprehensive range of educational…

In this review of the "Educational Goods," the author provides a set of comments that might extend the worthy framework provided by Brighouse, Ladd, Loeb and Swift. In particular, the author calls attention to the ways in which continued work within this project might broaden its conceptualisation of educational goods, increase the scope…

At the end of high school, teenagers must deal with the first life-changing decision of determining what to do after graduation. For these decisions, adolescents need to be able to make good choices. However, most schools have not yet implemented decision trainings into their curricula. A new intervention called "KLUGentscheiden!" was…

Computer programming provides a framework for interdisciplinary learning in sciences, arts and languages. However, increasing integration of programming in K--12 shows that the block-based and text-based dichotomy of programming environments does not reflect the spectrum of their affordance. Hence, educators are confronted with a fundamental…

Decision-making is a critical topic in any management and organizational behavior course. Navigating and understanding the various processes and influences on decision-making, however, can be complicated. This article revises and expands on a common "employee ranking" format activity. It uses in-class student data to systematically…

This dissertation investigates social annotation use in undergraduate reading and writing courses. It comprises three interrelated studies that examine different aspects of social annotation practices and pedagogical decision-making. The first study focuses on student annotations and analyzes students' knowledge construction practices. The second…

The current study sought to test hypotheses derived from the social cognitive model of career self-management (CSM; Lent & Brown, 2013) applied to the process of career exploration and decision-making. We examined how well personality traits, contextual factors, and social cognitive predictors, collectively, account for exploration behavior…

The five chapters of this dissertation are anchored around the theme of supporting teachers in making inclusive instructional decisions in science to facilitate active student participation and engagement in science learning for students with complex support needs (CSN). Chapter 1 describes the benefits of inclusive education for students with…

Data comparison problems are used in teaching and science education research that focuses on students' ability to compare datasets and their conceptual understanding of measurement uncertainties. However, the evaluation of students' decisions in these problems can pose a problem: e.g., students making a correct decision for the wrong reasons.…