California State University (CSU): Open Journal Systems
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Mapping the Landscape of Experiential Education
No full textThis concept paper proposes a way of mapping instructional landscapes to improve the practice of experiential programming. It begins by reviewing how experiential education has been defined including requests from that literature base for better definitional clarity. It then reviews a recent initiative commissioned by the Society for Experiential Education to update its institutional definition. Heinrich and Green’s (2025) prototypes, which are the products of that process, are presented and discussed. This article then examines a recently published definitional model (Meyer, 2024), compares that model to Heinrich and Green’s prototypes, and applies Meyer’s model to analyze two, hypothetical, high-impact teaching practice scenarios with the goal of mapping the definitional features of each scenario. This approach provides direction for validating a framework of definitional features, and it also enables Meyer’s model to be critically examined. Thus, this paper addresses Heinrich and Green’s (2025) call to action as it offers a conceptual and pedagogical entry point into experiential education (Prototype 1) that also provides useful insight for institutional stakeholders (Prototype 2)
Enhancing Complaint Handling: A Digital System for Direct Administrator Access
Get PDFThe implementation of technology has significantly improved the efficiency of administrative services across social, local, state, and federal agencies. These advancements have led to the development of systems that track data, identify resources, and streamline resolution processes. Consequently, information and communication involving humans and technology have led to individuals consistently seeking improvements in how disputes are managed and resolved. Online Dispute Resolution (ODR) has become an online method for Alternative Dispute Resolution (ADR), offering structured digital processes for handling various types of conflicts. As communication between humans and digital tools evolves, ODR has emerged as a promising method within ADR, particularly in contexts where accessibility, speed, and documentation are critical. However, the ombudsman model remains largely dependent on person-to-person interaction, often resulting in delays, limited scalability, and inconsistent outcomes. This study explores how digital systems—such as databases, artificial intelligence, and virtual assistants—could enhance the ombudsman process by increasing efficiency, improving consistency, and aligning with ethical ODR guidelines. It also considers how these technologies might support—not replace—human judgment, and how their integration could preserve fairness, transparency, and trust in resolution processes.
